bluuebunny/crossref_metadata_2025 huggingface dataset:
Enfoque de investigación adoptando tecnologías para abordar el crimen y temor entre los estudiantes de educación superior que utilizan el transporte público en ciudad Juárez, México
Authors: Sandoval-Chávez Diego Adiel , Alvarado-Tarango Lizette , Hernández Rivera Miguel Ángel , García Castellanos Humberto , Ramos García Tania Guadalupe
Published: December 2024

Se plantea adoptar un enfoque de ingeniería de gestión para investigar los perfiles de crimen y temor en los estudiantes de nivel superior en tres instituciones de educación superior en Ciudad Juárez y proponer soluciones tecnológicas para eliminar, prevenir o controlar su incidencia. Se delinea una investigación explicativa que adopta métodos cuantitativos para estudiar una población N = 25 890 estudiantes, para lo cual se plantea un esquema aleatorio de muestreo considerando una muestra n = 379. Se diseñará un instrumento de recolección de datos (cuestionario) ad hoc buscando el consenso interinstitucional y la validación por juicio de expertos. Se establecen tres objetivos. El primero es conocer y examinar las experiencias de victimización de los estudiantes usuarios del transporte público de tres instituciones de nivel superior. El segundo es establecer los factores condicionantes de incidencia de victimización y de temor por la inseguridad de estos estudiantes. El tercero es identificar avenidas de gestión, mediante la adopción de soluciones tecnológicas, tendientes a la disminución de la incidencia criminal y del temor en estudiantes de nivel superior usuarios del transporte público.  Se detallan los productos entregables y las formas de participación de colaboradores y alumnos.
Despliegue de la función de la calidad (QFD): Una aplicación en la selección de impresoras 3d
Authors: De la Torre Mora Ma. De los Angeles , Rodríguez Medina Manuel Arnoldo , Ramos Lozano Secundino , Gámez Rodríguez José Ángel , Pinedo Gaucin Jorge Arturo
Published: December 2024

En la elaboración de este artículo se realiza un análisis comparativo del Despliegue de la Función de la Calidad o Quality Function Deployment (QFD) para su aplicación en la selección de impresora 3D.  El objetivo de esta investigación es realizar un análisis comparativo entre 3 impresoras 3D con profesionistas que conocen lo que es la impresión 3D.  Se considera la utilización del análisis comparativo QFD para realizar este estudio comparativo porque es uno de los más empleados en marketing para realizar un análisis detallado que se refiere a como satisfacer a los clientes y traducir los deseos de los clientes en un diseño meta, con lo cual se conocen los deseos del cliente y se identifican las soluciones. Con esta investigación realizada y con resultados obtenidos sabremos cuales son los deseos de los clientes al hacer una selección de impresoras 3D. De esta manera se podrán construir las impresoras 3D con las características que los clientes prefieren y desean.
Alih Teknologi Administrasi Rusun Kota Pontianak Berbasis Laravel
Authors: Dzulqarnain Muhammad Faqih , Khelfa Arzakky Syukri  , Tegar Adji Nugroho
Published: December 2024

The current administration system for apartment buildings in Pontianak city still relies on manual data recording methods, which tend to cause various recording errors such as delays in data processing, incorrect data entry, and difficulties in accessing information. This condition has an impact on suboptimal service to apartment residents. As an alternative to address this problem, it is proposed to develop a web-based information system that can digitize data from various business processes in apartment management. This system is designed using the Laravel framework, a popular framework for web application development. The stages in this community service include in-depth analysis of system requirements that are suitable for the conditions of apartment buildings in Pontianak city, designing a user-friendly and efficient system, building the system based on the design that has been created from manual form recording, and conducting training for apartment managers to be able to operate the system well. This technology transfer has a positive impact on the change in the administration model and it is expected to create more effective and efficient apartment management and is easily accessible because it is online. Some other benefits that occur include increased accuracy of resident data, ease of accessing information, data transparency, and improved service quality for residents
Sistem Informasi Koperasi Simpan Pinjam Komunitas Koperasi Bhumi Karya
Authors: Faisal Fajar Ramadhan  , Dewi Rosmala  , Fauzan Irzani  , Firman Aldiansyah  , MH Tazul  , Renddy Nurcahya
Published: December 2024

Abstract Bhumi Karya Cooperative is an organization focused on the savings and loan activities of its members. Loans with low interest rates and various types of savings are offered to enhance the welfare of the members. However, challenges in the effectiveness of transaction data management, the conventional handling of savings and loan applications, and financial reports managed using Microsoft Excel are faced by the cooperative. The development of a web-based information system is deemed essential, as this system not only allows members to conduct transactions remotely, such as the previously manual savings and loan applications, but also accelerates the processes of member data entry, transaction recording, report generation, and service provision to members anywhere. Additionally, prospective members can register online, thereby increasing the overall operational efficiency of the cooperative
Pembuatan Pojok UMKM Guna Meningkatkan Eksistensi dan Pemasaran Produk Lokal di Desa Mekarmukti
Authors: Alfiaturohmah Alfiaturohmah  , Hanifah Hanifah  , Muhammad Iqbal  , Nur Ratna  , Rachma Adelia  , Wiji Safitri
Published: December 2024

Mekarmukti Village MSME Corner is a local initiative that aims to develop the village economy through empowering Micro, Small and Medium Enterprises (MSME). This initiative focuses on increasing production capacity, market access, and improving the quality of local products. This research aims to instill the role of the MSME Corner in supporting the economic growth of Mekarmukti Village, as well as identifying the challenges faced by MSME actors. The research results show that the UMKM Corner makes a significant contribution in creating jobs and increasing the income of village communities. However, there are obstacles such as limited capital, access to technology and marketing that still need to be overcome. With the right support from the government and community, the MSME Corner has great potential to become a driving force for the economy of Mekarmukti Village in the future.
Gerakan Plastic Exchange Melalui Pemanfaatan Ecobrick di Desa Bendelan Bondowoso
Authors: Ni Luh Ayu Sukmawati  , Audy Putri Lestari  , Alifiyah Haafizhoh  , Dinda Yulia Saputri  , Andini Femy Pramudya  , Dian Faqih Kurniawan  , M.Aghis Azria Al Fathonian
Published: December 2024

The problem of plastic waste in Indonesia has become an increasingly urgent issue to be addressed. One of the areas facing serious waste management challenges is Bendelan Village in Binakal District, Bondowoso Regency. The lack of waste processing facilities and community awareness are key factors exacerbating the situation. Through a community service program, efforts were made to introduce and utilize ecobricks as a solution for managing plastic waste. This program involved PKK cadres in the socialization and creation of ecobricks. The outcome of this program was the creation of 20 ecobrick bottles, reflecting active community participation in the Plastic Exchange movement. This initiative is expected to be sustainable and contribute positively to creating a cleaner and healthier environment.
Pelatihan Pengamatan Morfologi Bakteri Bagi Siswa Kelas X di SMA Negeri 1 Parigi Tengah
Authors: Slamet Ifandi  , Astri Febriana Iffaf  , Hermin Lastri Gintoe
Published: December 2024

This bacterial morphology observation training was conducted for grade X students at SMA Negeri 1 Parigi Tengah. The main problem faced was the lack of knowledge and skills of students in the field of microbiology, especially in identifying bacterial morphology. The purpose of this activity was to improve students' understanding of basic biological concepts and practical skills in bacterial observation. The methods used included delivering material on the principles and techniques of bacterial morphological characterization, as well as direct practice using microscopes and Gram staining techniques. The results showed that students successfully identified Staphylococcus aureus bacteria in the form of cocci with Gram positive and Bacillus sp. in the form of bacilli with Gram negative. This activity has proven effective in improving students' understanding and skills in microbiology, as well as encouraging their interest in studying biology further
Program "Lambangan Melek Aksara" sebagai Peningkatan Kualitas Membaca Anak di Desa Lambangan, Kec. Undaan, Kab. Kudus
Authors: Muhammad Arif  , Nabila Minhatusaniyah  , Mahesa Hendra Yoga  , Yusriyyah Adibah  , Hasanah Nur Ani  , Sinta Dewi Purwanti  , Retno Wulan Ndari  , Ruly Habibah Al Ihsani  , Noor Khoni'ah  , Daniswara Agung Pramana  , Asep Purwo Yudi Utomo
Published: December 2024

The problem of children's reading ability in Lambangan Village, especially first to third grade SD/MI students, is a problem that requires serious attention. The implementation of the "Lambangan Melek AKsara" program is carried out in three stages, namely: preparation, implementation and evaluation. Team UNNES Giat 9 Lambangan Community Service Team uses the EGRA (Early Grade Reading Assessment) test method to assess students' reading abilities. This test was carried out twice, namely before and after the implementation of the "Literacy Symbol" program. As for the implementation of reading training, the team used the learning by playing method. In the first treatment, team UNNES GIAT 9 Lambangan team provided reading teaching) with a focus on recognizing letters and sounds. In the second treatment the focus was on developing students' ability to read and write simple words. In the third treatment, the focus of training shifted to the ability to read simple sentences and understand text. Students' reading ability has improved quite well with this program. Based on a comparison of the results of the first and second EGRA (Early Grade Reading Assessment) tests, students' reading abilities have increased quite significantly. The author hopes that this program can be implemented in other villages throughout Indonesia
Membangun Kesadaran Sosial Melalui Kegiatan Pengajaran Dasar – Dasar Kehidupan Sosial Pada Mahasiswa Universitas Sunan Giri Surabaya
Authors: Nunik Hidayati  , Rekha Widiawati  , Zhunnun Qothrunnada Annisa Salam Al-Madury  , Farida Nabilah  , Rahayu Mardikaningsih  , Fayola Issalillah  , Eli Masnawati  , Asnal Mala  , Masfufah Masfufah
Published: December 2024

Teaching activities are a mechanism of community service activities containing many positive impacts for students, one of which is increasing a sense of caring, mutual respect, and fostering critical thinking in dealing with social problems that are developing today. This student teaching service activity uses the PAR (Participatory Action Research) method which is an approach that overcomes problems that occur in students' lives, especially in their social lives. In the context of this activity, namely building students' social awareness through teaching activities using the PAR method, it can enable students to learn a lot of new knowledge about social issues and they can even participate directly in social activities that are developing in people's lives today. This PAR method is carried out through several series, namely first identifying problems that occur in the lives of students today and looking for real examples of social problems related to the environment around them. After that, collecting data which includes material that will be delivered to students, and for the last stage, namely the implementation stage by presenting the material, the implementation of actions designed in the use of the PAR method directly involves third semester students of Sunan Giri University Surabaya. The results showed that student teaching activities succeeded in increasing understanding and social awareness in students, because in lecture activities students are always directly involved in a learning activity which discusses the introduction of important concepts from the basics of social life.
Pendampingan Pembacaan Iqro’ dan Al-Qur’an dengan Tajwid untuk Meningkatkan Kualitas Bacaan Siswa-Siswi di MI Darul Ulum Kota Palangka Raya
Authors: Norhidayah Norhidayah  , Sri Hidayati  , Sukirman Sukirman
Published: December 2024

The purpose of writing this service article is to provide assistance to students in reading iqro and al-qur'an in order to improve the quality of reading in accordance with the rules of tajweed science. MI Darul Ulum Kota Palangka Raya has its own challenges, namely that there are still many students who are not fluent in reading iqro and al-qur'an so they need intense teaching. Assistance in reading iqro and al-qur'an with tajweed to improve the quality of students' reading with the Asset Based Community Development (ABCD) method is a suitable solution in order to develop the assets that each student already has. This service aims to explore the effectiveness of such assistance in the context of improving the quality of students' reading in reading Iqro' and Al-Qur'an. The ABCD method is used as a framework, where this approach emphasizes the use of local potential and existing resources in the community to overcome problems. The assistance was carried out by involving one of the teachers and also several students who were not fluent in reciting the Quran to support the assistance activities of reading Iqro' and Al-Qur'an with tajweed. The results of the service showed that the assistance of reading Iqro and Al-Qur'an with tajweed was able to improve the quality of MI Darul Ulum Palangka Raya students. The existence of this service program helps teachers to be more intense in teaching students to read Iqro' and the Qur'an, and makes students more eager to continue learning regularly every day to develop the quality of their reading in reading Iqro' and also the Qur'an. With the ABCD method, Iqro' and Al-Qur'an reading assistance has opened opportunities for teachers and students in improving the quality of religious learning, as well as empowering local communities in facing educational challenges.
Meningkatkan Kemampuan Bahasa Inggris melalui English Club dalam Pengabdian Masyarakat MBKM Asistensi Mengajar
Authors: Windy Annastasia Maharani  , Hesty Widiastuty
Published: December 2024

The community service program carried out by MBKM (Merdeka Belajar Kampus Merdeka) Teaching Assistance in English Education Students IAIN Palangka Raya is titled “English Club.” It aims to improve the English skills of participants at the Secondary Level. This program introduces interactive learning methods and enjoyable media through a game-based approach and technology. Thus, this activity helps participants understand English material more easily and effectively. The program is conducted over three sessions, covering topics such as self-introduction, telling time, and hobbies. Each session is designed to develop the participants' English language abilities by optimally combining theory and practice. To create an active and engaging learning environment, the activities also include educational games, such as “Hi! My Name Is...,” “Catch It!,” and “Simon Says!”, which are designed to sharpen the cognitive and motor skills of the participants. In each session, technology media, such as engaging PowerPoint presentations and online games, are used to create variety in the learning experience, making participants feel interested and motivated. The results of this activity indicate an improvement in the participants' English skills, particularly in speaking. Additionally, there is also an increase in the participants' interest and motivation toward learning English. The use of creative methods and technology has proven effective in helping participants understand the material and creating a positive learning atmosphere. In conclusion, enjoyable learning not only enhances the English skills of participants but also builds their confidence in communication.
Pendampingan Brain Gyam dengan Penerapan Salam Variatif Bangun Bounding pada Siswa SDIT Al-Ghazali Kota Palangka Raya
Authors: Dahlia Dahlia  , Jainah Jainah  , Abdullah Abdullah
Published: December 2024

Brain Gym assistance at SDIT AL-Ghazali, Palangka Raya City, Central Kalimantan Province, MBKM students innovate by implementing wake bounding with varied greetings as a form of their dedication to the school. They do this by accompanying Brain Gym in the morning to improve students' fitness and behavior in order to increase their enthusiasm before starting learning activities. The aim of these varied greetings is to make activities at Brain Gym more fun and interesting for students. The ABCD (Asset Based Community Development) method was used in this research. Inculturation, discovery, design, definition, and reflection are the processes carried out. By placing their hand on the picture, they choose a variety of greeting images. The results of accompanying brain exercise activities in the morning by applying varied greetings can create discipline, students' readiness to learn with a happy, enthusiastic mood and become an evaluation for future teachers to create other creative ideas.
Pendampingan Kegiatan Kompetisi Polytechnic Creative Festival (PC FEST) pada Tahun 2024 Kategori Lomba Campus Website
Authors: M Arief Rahman  , Amir Yusuf Arbain  , Ade Dwi Prayoga
Published: December 2024

The PC FEST 2024 Campus Website Competition successfully combined competitive and educational elements in order to enhance students' skills and creativity in web design and development. With wide participation from various universities in Indonesia, this competition highlighted the importance of responsive, informative, and interactive websites as digital representations of educational institutions. Through a series of intensive workshops, seminars, and mentoring sessions, participants were trained in the technical and aesthetic aspects of website creation, including coding, SEO, and multimedia integration. The competition focused on the practical application of the theory learned, with teams competing to create websites that were not only visually appealing but also functional and user-friendly. Evaluations from judges who are experts in the fields of information technology and web design provided valuable feedback for participants, allowing them to hone and refine their work further. The results of the competition showed significant progress in participants' skills and opened new insights into the potential use of digital technology in education. The competition not only showcased students' creativity and innovation, but also encouraged continued growth and development in the field of educational technology.
Figurative Language Analysis In Emily Dickinson’s Poem “Hope Is The Thing With Feathers”
Authors: Aprilia Aprilia  , Naifa Safina Amalia
Published: December 2024

This article explores how Emily Dickinson uses figurative language in her poem “Hope is the Thing with Feathers.” Using qualitative descriptive analysis methods, this research delves into how Emily Dickinson employs figurative language in her poem. various forms of Figurative Language contained in the poetry, such as Metaphor, Personification, Irony, Symbolism and Hyperbole was found in the poem. Research findings show that Dickinson’s use of Figurative language deepens the poem’s meaning and emotional impact, potraying hope as a pure force that seeks no reward and remains within the human soul, even in toughest of times. The authors identified five types of figurative languages in the poem; metaphor, personification, irony, symbolism, and hyperbole. This provides an in-depth look at how Figurative Language is use to depict abstract themes creatively and enhance the emotional effect on the reader.
Penguatan Kompetensi Pembuatan Bahan Ajar Bahasa Indonesia bagi Penutur Asing Berbasis Budaya dan Tradisi Jawa bagi Dosen Fatoni University Thailand (FTU)
Authors: Kundharu Saddhono  , Muhammad Rohmadi  , Ani Rakhmawati  , Islahuddin Islahuddin  , Aldi Dwi Saputra  , Maulana Danar Maaliki H
Published: December 2024

This training aims to improve the competence of Fatoni University Thailand (FTU) lecturers in developing Indonesian language teaching materials for foreign speakers with a focus on Javanese culture and traditions. The dedication team consisted of 3 lecturers from Sebelas Maret University, one lecturer from Fatoni University, and three students from Sebelas Maret University. The training was held at Fatoni University, Thailand on 31 May – 7 June 2023. The training participants were Fatoni University lecturers who taught Indonesian for Foreign Speakers (BIPA) at the Malay Language Faculty. The training is carried out in 3 major stages, namely: the preparation stage, the implementation stage, and the evaluation stage. During the training, participants are provided with a comprehensive understanding of Javanese culture and traditions, including values, traditional ceremonies, special foods, traditional clothing, customs, and relevant cultural symbols. The trainees are actively involved in group work sessions, where they design Indonesian language teaching materials with Javanese cultural and traditional themes. They use their knowledge and creativity to plan engaging lessons and focus on cultural content. The evaluation results show that this training succeeded in increasing the competence of lecturers in developing teaching materials based on Javanese culture and traditions. This training provides a solid foundation for Fatoni University to continue to develop an Indonesian Language learning program for Foreign Speakers (BIPA) based on culture and tradition. Fatoni University lecturers who have participated in this training are expected to be able to apply teaching materials based on Javanese culture and traditions in learning, provide a more authentic and interesting learning experience for Indonesian Language students for Foreign Speakers (BIPA).
Keterlibatan Pemuda Dalam Pembangunan Desa Partibi Lama Kecamatan Merek
Authors: Darinda Sofia Tanjung  , Arisan Laia  , Dina Sitohang  , Dearin Jely Sinaga  , Madonna Irene Situmorang
Published: December 2024

Youth involvement in the development of Partibi Lama Village, Brand District, which has high potential but is faced with the challenge of minimal community participation. The research objective is to facilitate youth participation in development through an inclusive model and analyze the effectiveness of the Participatory Action Research (PAR) method. The methods used included in-depth interviews, participant observation, and focus group discussions with 50 young people as a sample. The results show that youth involvement contributes positively to village progress, improving social relations and innovation. The implications of this research encourage the development of training programs and the creation of participatory spaces for youth in village decision making.
An In-depth Analysis of Miyazaki Hayao’s Spirited Away: Exploring Themes of Growth, Identity, and Family Dynamics
Authors: Song Yiyao
Published: December 2024

With the widespread acceptance of animation films in the world, the analysis and research of classic animation works are particularly important. Spirited Away, as one of Miyazaki Hayao’s representative works, has become an important topic in the field of animation research due to its unique artistic style, profound theme connotation, and extensive influence. This paper makes an in-depth analysis of the theme, characterization, plot construction, and artistic techniques of Spirited Away, and probes into its profound implications in growth, courage, self-identity, and family relations. Through a detailed analysis of the key elements in the film, this paper reveals the internal reasons why Spirited Away can become a classic. The work not only showcases Miyazaki’s unique artistic style but also deeply reflects the multiple themes of humanity, nature, and family in modern society.
A study of the Impact of AI and New Media on Trade Development in the Retail Sector and Coping Strategies
Authors: Chen Yixin
Published: December 2024

The rapid advancement of global information technology is transforming industries at an unprecedented pace, with emerging technologies becoming integral to our daily lives and reshaping traditional business models. The retail industry, in particular, has witnessed a significant evolution over the past three decades. What once relied solely on face-to-face interactions has now shifted through the e-commerce revolution and into a highly sophisticated model powered by artificial intelligence (AI) and big data. These technological breakthroughs have redefined the retail landscape, enabling businesses to harness data-driven marketing strategies and leverage the growing influence of social media for promotion. As a result, geographical barriers are no longer a limitation, and retailers can reach a global audience with ease. However, this transformation also brings new challenges, such as increased competition and the need for product differentiation in a crowded marketplace. The evolution of retail not only reflects the broader impact of global technological advancements but also highlights the opportunities and complexities of operating in the digital age. By exploring these cutting-edge technologies, this paper can better understand the forces shaping modern retail and gain valuable insights into this rapidly changing era.
Harmonic Effects on the Operation of Power Electronic Devices
Authors: Tan Sining
Published: December 2024

This study examines the effects of harmonics on power systems and their equipment, focusing on and exploring the application of different types of filters in harmonic suppression. Harmonics, a significant concern in modern power systems, leads to waveform distortion, increased losses, and reduced system efficiency. These include passive filters (PPFs), active filters (APFs) and optimisation strategies for hybrid filters. By analysing current harmonic optimisation techniques, further improvements in control algorithms and measures to optimise energy consumption and reduce costs are proposed to increase the adaptability and efficiency of filters in complex power environments. In addition, this research helps to advance the development of filtering techniques. It gives ideas that can be applied to developing renewable energy systems and smart grids, as harmonic suppression is vital in improving overall power quality and system reliability. The results of this study could guide future developments in power system optimisation to ensure smoother operation in an increasingly complex and interconnected grid.
Digital Economy and Industrial Transformation: The Implications of AI in Manufacturing and Services
Authors: Zhang Hao
Published: December 2024

In the context of the digital economy, artificial intelligence (AI) is increasingly being integrated into the decision-making process, providing powerful support for enterprises. Through data analysis and machine learning technologies, AI can process large amounts of information, providing a foundation for predictive analysis. This ability not only improves the accuracy of decisions, but also enables enterprises to respond quickly to market changes. Furthermore, AI can also automate various operational tasks, such as inventory management, customer service, and production scheduling, significantly improving work efficiency. With the introduction of AI, the internal structure of organizations has undergone profound changes. This study uses a case study approach to conduct a thorough discussion of Xiaomi as a representative example. Xiaomi has widely applied AI technology in product design, marketing strategies, and after-sales services, and its successful experience provides valuable lessons for other enterprises. At the same time, this thesis will examine the impact of artificial intelligence on employment dynamics and social structures. In some areas, while AI may lead to the reduction of certain jobs, it also creates new job opportunities, generating complex effects on the labor market. Therefore, it is necessary to comprehensively evaluate these changes and provide corresponding recommendations to help all parties better adapt to this transformation process. Finally, this study emphasizes the critical role of artificial intelligence in the contemporary economic landscape and proposes a series of recommendations for its popularization and application.
The Research on Factors that Possibly lead to Diabetes
Authors: Li Rubin
Published: December 2024

Although prior research has indicated that the occurrence of diabetes is associated with genetic inheritance, overweight conditions and dietary habits, there are still many other unknown factors worth studying. This research employed the Probit model approach to handle the data from the BRFSS 2015 dataset on Kaggle. The dataset was published and updated in 2021 and encompassed information on 253,680 individuals. The conclusion is that the onset of diabetes is strongly associated with Sex, Age, BMI, Physical activity, Eating habits, Smoking, Mental health and stroke, and is particularly closely related to Difficulty walking, Heart disease, High cholesterol, and High blood pressure. Many factors that may be closely associated with diabetes have not been found in prior studies, such as Mental health, Difficulty walking, Heart disease, High cholesterol, and High blood pressure. This provides some new ideas for studying the pathogenesis of diabetes and the treatment of diabetes, and points the way for future research.
An analysis of PFAS pollution and a comparison of potential treatment methods in the Middle Lower Yangtze Plain
Authors: Taoliao Yuanming , Lu Yichen , Wang Ziming
Published: December 2024

PFAS pollution has become a significant and global problem, posing threat to human beings. The Yangtze River also suffers from a high amount of PFAS pollution. While textile industries and fluorochemical companies pollute the water with PFAS, no specific water stations designed to tackle the pollution exists in the Yangtze River Plain, the most PFAS-polluted region of the river basin. While a few PFAS-treatment methods exist in the waste water treatment industry, many have been considered impractical for the future due to their low removal efficiency or high costs, or other such reasons. However, a few methods have been proven reliable in recent research papers. The super-fine activated carbon method (SPAC), the plasma chamber method, as well as the electrochemical oxidation method will be discussed in the article in terms of there effectiveness and cost, as well as their applicability in the Yangtze River Plain Region.
Federated Learning Helps Improve IoT Privacy Security
Authors: Jiang Yiwei , Wang Wenxuan , Zhang Chi
Published: December 2024

With the rapid development of the Internet of Things (IoT), how to protect users’ privacy security in the IoT environment has received extensive attention. Federated learning allows IoT devices to perform local training and only upload model parameters, avoiding the direct transmission of raw data, which provides a new solution for enhancing IoT privacy security. Many studies have tried to integrate federated learning with other technologies to further improve privacy protection. This paper summarizes various technologies used in recent studies to protect privacy security in different IoT scenarios with federated learning, including encryption techniques, secure model aggregation, and the integration of distributed trust mechanisms. In addition, this paper also introduces the applications of federated learning in various IoT scenarios, including industrial IoT, healthcare, and energy management fields. The paper also provides future prospects for research on using federated learning to protect privacy security in the IoT. Furthermore, it explores potential advancements in combining emerging technologies such as blockchain and differential privacy to achieve more efficient and secure privacy protection mechanisms in IoT environments.
Research on Frontier Applications of MEMS Technology in Robotics
Authors: Jin Haoran
Published: December 2024

Microelectromechanical systems (MEMS) are critical in advancing modern robotics by offering compact, low-power, and high-precision solutions. This paper explores the frontier applications of MEMS in robotics, focusing on key areas such as motion control, environmental sensing, and future technological integration with artificial intelligence (AI). MEMS sensors and actuators have significantly improved the precision and efficiency of robots in various industries, including autonomous vehicles, industrial automation, and medical robotics. The combination of MEMS and AI opens new possibilities for autonomous decision-making and adaptive robotics, while micro-robots equipped with MEMS hold great potential in fields like biomedicine. The results of this study show that MEMS devices significantly enhance robots‘ adaptability in dynamic environments, and their integration with AI can lead to greater autonomy. Moreover, the research suggests that MEMS-based micro-robots could revolutionize precision surgery and drug delivery applications. This paper highlights MEMS technology’s current state and prospects in revolutionizing robotics.
Comparative Analysis of Alzheimer‘s Disease and Prion Diseases
Authors: Xu Yunhan
Published: December 2024

Alzheimer’s disease (AD) is a prevalent neurodegenerative disorder characterized by memory loss, cognitive decline, and personality changes, largely resulting from the misfolding and aggregation of proteins such as amyloid-beta (Aβ) and tau. Similarly, prion diseases (PrD), though relatively rare, are highly lethal and transmissible, involving the misfolding of prion protein (PrP). Both conditions share common pathogenic mechanisms, including the aggregation of misfolded proteins that lead to neurodegeneration. This review compares the pathogenesis of AD and PrD, highlighting the similarities between the proteins involved and their impact on neuronal function. It explores current therapeutic strategies, particularly immunotherapy with monoclonal antibodies, which target pathogenic proteins like Aβ, tau, and PrP. While these treatments show promise in slowing disease progression and alleviating symptoms, challenges such as crossing the blood-brain barrier and managing toxicity remain significant. The findings suggest that insights from PrD may offer new avenues for AD treatment, underscoring the need for further research and clinical trials to develop more effective therapies for neurodegenerative diseases.
The Comparison of Gender Wage Gap in South Korea and Norway
Authors: Gu Yuyang
Published: December 2024

In recent decades, gender inequality has always been a significant topic. According to the UNDP, most of the countries are making efforts to reduce gender wage gap. However, there is still a huge gender pay gap in many countries. Existing research primarily explores the factors that have resulted in gender pay gap in different regions. However, there was not any prior research explored the differences of gender gap between Korea and Norway. Therefore, using the database in 2020, this paper researches the difference of gender wage gap in two countries: Norway and South Korea. It also compares the relationships between age, education background, occupation, job duration, and gender wage gap in these two countries. The study finds that there are many differences between these two countries’ gender wage gap, not only on the size of workers’ gender wage gap, but also on the relation between gender wage gap and factors that could influence gender wage gap.
The Relationship Between Interaction and Student Achievement on Online Education Platforms
Authors: Fan Zhenhua , Qian Jiayu , Wan Ziyan , Yao Chaoyang
Published: December 2024

Online education has become an indispensable component of modern teaching, and the study of the relationship between its interactive modalities and academic performance is significant for the optimization of teaching strategies. Although existing research has explored the impact of online interaction on learning outcomes, an in-depth analysis targeting university students in specific regions still warrants further investigation. Therefore, the present study employed a survey methodology to collect data on the usage of online education platforms and academic performance from 324 university students at Jiangxi Vocational College of Mechanical & Electrical Technology. Descriptive statistical analysis was then conducted on the collected data. The results indicate a positive correlation between online learning and academic performance, with only a small number of students reporting that online learning has harmed their grades. While it is not possible to assert a direct causal relationship between the time and pattern of online interactive learning and grades, it is evidence that increased viewing of live courses and interactive participation does help students enhance their problem-solving abilities and significantly impacts their academic performance. Future research could explore the specific effects of different interactive tools and methods within online education platforms on academic performance, as well as how to design more effective online teaching activities to improve students’ motivation and grades. Additionally, with the advancement of artificial intelligence and big data technologies, future studies could leverage these technologies for a more in-depth analysis of online learning behaviors, providing support for personalized online teaching.
Analyzing Global Inequality Reflected in National Policies During the COVID-19 Pandemic
Authors: Wu Anna
Published: December 2024

With the growth of the global economy and population, global inequality is becoming increasingly prominent. This inequality is not only reflected in income, education, healthcare, etc., but also affects economic development and social stability between different countries and regions. To address these issues, governments around the world have taken a series of measures to promote economic growth and social equity, but the results have not been significant. The COVID-19 has aggravated the seriousness of this problem. This study aims to explore the global inequality reflected in national policies during the COVID-19. Specifically, we will analyze the views of scholars from all over the world on this issue, summarize their corresponding views, analyze the specific status quo and main problems of global inequality in the context of COVID-19, and finally come to the conclusion that the existence of COVID-19 has indeed led to the intensification of global inequality, and solve long-term problems such as global inequality, racial discrimination, marginalization and colonial resource exploitation, Therefore, it is necessary to persist in the formulation, optimization, and implementation of relevant strategies for a long time in order to fundamentally optimize the problem and ultimately achieve the goal of solving it.
Application Analysis of Intelligent Gaming in the Context of Go
Authors: Tong Xun
Published: December 2024

The swift evolution of Artificial Intelligence (AI) technology has ignited fervent discussions, particularly regarding its integration into the strategic game of Go. A landmark event was the unveiling of AlphaGo in 2017, an AI entity that swiftly ascended to an unassailable position against the world’s top human Go players. This scholarly exploration delves into the intricate application of AI in the realm of Go, meticulously analyzing the trajectory of AI model development. Through a comparative examination of various models, the paper meticulously identifies both the shared attributes and the unique distinctions that define each AI system. The paper underscores the indispensable influence of deep learning and reinforcement learning methodologies in propelling AI advancements. Furthermore, the paper deliberates on the iterative enhancements made to the underlying algorithms, which have been instrumental in elevating AI’s prowess in Go. In conclusion, the paper also thoughtfully addresses the emerging challenges that AI presents to the Go community, with a particular emphasis on the implications for human players. The paper concludes with a set of prescriptive recommendations aimed at fostering the continued ethical and beneficial advancement of AI technology within the Go domain.
Spectral Theory in Compact Operators
Authors: Chen Yuming
Published: December 2024

This paper delves into the spectral theory of compact operators, focusing on eigenvalues that predominantly accumulate at zero and the implications for quantum information theory and machine learning. It highlights how the spectrum of compact, self-adjoint operators plays a crucial role in dimensionality reduction and quantum state decomposition. The research bridges abstract operator theory with practical computational applications, thereby enriching the theoretical underpinnings and practical applications of spectral theory. The study addresses how the eigenvalue decomposition of compact self-adjoint operators assists in reducing the dimensionality of large data sets and decomposing quantum states in tensor products. This connection between theory and application not only enhances the capabilities of Principal Component Analysis and machine learning methods but also proves critical in handling complex data structures and quantum systems. By exploring the structure and implications of compact operators within both classical and quantum domains, the findings offer a robust framework for future research. This includes potential expansions into more complex operator classes and their implications in other areas of functional analysis. Future research might explore the extension of these methods to tackle challenges posed by non-ideal, infinite-dimensional, or dynamically evolving systems.
PD Control-based Simulation Analysis of a DC Motor for UAV Applications
Authors: Wang Zixiang
Published: December 2024

Unmanned aerial vehicles (UAVs) have played many roles in various fields in recent years, such as agriculture, industrial surveying, aerial photography, etc., and have become a hot topic in production and people’s daily lives. The motor of the UAV is one of the key components of the UAV’s dynamic system, taking an irreplaceable position in the UAV’s flying progress. UAV uses small alternating current (AC) motors to drive propellers and provide lift, helping the whole UAV system complete various actions in the air, enabling the flying device to finish tasks according to people’s expectations. Therefore, researching AC motors in the case of drone applications is greatly significant. This article explains the principle of direct current (DC) control circuits and various systems of drones at first and analyzes the advantages of applying DC control circuits to drone motors. Finally, by adjusting the parameters of the DC control circuit, the article checks the output effect of the control circuit under the background of the drone application. Experiments have shown that DC circuits with the advantages of fast feedback and minimal oscillation avoidance are suitable for the use of UAVs and can improve their maneuverability.
Carbon capture technology in industrial flue gas treatment
Authors: Lu Poyi
Published: December 2024

With the acceleration of industrialization, the emission of greenhouse gases (GHGs) such as carbon dioxide (CO₂) has increased significantly, and the problem of climate change has become increasingly serious. Carbon capture technology is regarded as an important means to reduce CO₂ emissions from industrial flue gas, mainly including membrane separation, physical adsorption, chemical chain combustion, low-temperature condensation, and amine absorption. Membrane separation is suitable for high-temperature and high-pressure environments, but material stability and cost are challenges; physical adsorption is excellent on high specific surface area adsorbents but is susceptible to high temperatures and high humidity; chemical chain combustion has high-efficiency capture potential but materials are easily depleted; low-temperature condensation is suitable for high humidity flue gas treatment but consumes high amounts of energy; and amine uptake is widely used, but is faced with the problems of absorber degradation and high regeneration energy consumption. In the future, these technologies need to be optimized for efficiency, cost, and compatibility with existing industrial systems to help achieve global carbon neutrality.
The Effect of Smoke on Cardiovascular Health and Educational Measures
Authors: Yang Lianggan
Published: December 2024

Cardiovascular diseases (CVDs) are the leading cause of death worldwide. Cigarette smoking is a strong risk factor for the development of this cancer. Vasomotor function is damaged due to harmful cigarette smoke including nicotine, carbon monoxide, and oxidants full of toxic substances. It may also promote inflammation, change lipid profiles, and hasten the progression of cardiovascular disease. The most important steps to be taken are enhancing family-based interventions, school education, and social support systems essential for preventing smoking initiation and cessation. This work is critical to address the global toll of smoking-related heart disease if we are ever going to achieve better population health outcomes. In reviewing the effects of smoking on cardiovascular diseases, this review reveals its disastrous consequences which could accelerate atherosclerosis, contribute to raised heart rate and blood pressure, and faulty clot formation predisposing patients to myocardial infarction (heart attack) or stroke. The review also detailed the health benefits of education to quit smoking, which should ultimately help stave off CVD.
Innovative Applications and Emerging Prospects of Graphene Across Various Fields
Authors: Cao Mengqi , Lou Xiang
Published: December 2024

Graphene, a material formed by a single layer of carbon atoms, has emerged as a discovery which is a great breakthrough. It contains a wide-ranging implication for technology and science. Its remarkable properties make it an essential material in fields like electronics, energy, materials and biomedicine. In addition, it is also holding significant potentials for future innovations. In electronics, it enables faster, more efficient devices, while in energy, it promises to revolutionize solar cells and other renewable technologies. The high quality of dissipating heat that graphene has also make it significant for modern cooling systems, and in the biomedical field, its biocompatibility opens doors for novel treatments and diagnostics. The importance of studying graphene is clear, that it could fundamentally change how we approach sustainable energy, electronics, and healthcare, leading to advancements that affect nearly every aspect of the society. However, understanding its challenges must be vital, such as scalability and cost. While, as we focusing on its future applications, graphene research seems crucial for shaping the future of technology and science, and be able to produce a huge improvement for the development of the world.