bluuebunny/crossref_metadata_2025 huggingface dataset:
16S rRNA Gene Sequence Analysis of Acetic and Lactic Acid Bacteria Isolated from Philippine Sugarcane Wine (Basi) [RESEARCH NOTE]
Authors:   Institute of Food Science and Technology, College of Agriculture and Food Science, University of the Philippines Los Baños, College, Laguna, Philippines, Sevilla John Russel , Esteban Michael Angelo , Iñigo Honey Bhabes , Orillaza Audrey Mae , Navarro Baby Richard
Published: November 2024

Basi, a traditional sugarcane wine of the Philippines, was studied. Here, we used molecular- and cultural-based methods to isolate, identify and characterize acid-producing bacteria, specifically acetic and lactic acid bacteria, from basi. Acid producers were focused on owing to the rapid spoilage of basi via acidification with air exposure. Two strains each of acetic and lactic acid bacteria were isolated. DNA was extracted from these isolates. PCR-amplified DNA products were subjected to 16S rRNA gene sequencing. The sequences of the isolates were then aligned with BLAST database sequences and found to have high similarities to Acetobacter malorum (99%), Gluconobacter oxydans (97%), Lactobacillus paracasei (97%), and Enterococcus faecium (98%), which were supported by the relationships shown by phylogenetic trees constructed using the neighbor-joining method with MEGA 7 as well as by morphological, biochemical, and physiological characteristics. It is therefore unequivocal that basi harbors both acetic and lactic acid bacteria, surmised to play crucial roles in its fermentation and perhaps rapid spoilage. Thus, good manufacturing practices and food processing interventions such as ultrafiltration and pasteurization are recommended for basi shelf-life extension.
Тема сохранения культурного наследия в современном визуальном российском искусстве: магические пространства и обращение к фольклору
Authors: К.И. Подлипенцева
Published: November 2024

В данной статье исследуется сохранение материального и нематериального культурного наследия как тема, к которой обращаются современные российские авторы, работающие в сфере визуальных искусств с феноменом магических пространств. На примерах творчества нескольких художниц создание магических пространств в произведениях визуального искусства рассматриваются как особая художественная практика, позволяющая авторам поднимать широкий спектр актуальных проблем, таких как вопросы экологического сознания, сохранения и репрезентации культуры и языков коренных народов и, разумеется, сохранения культурного наследия в широком понимании материальной и нематериальной культуры.

This article examines the preservation of material and nonmaterial cultural heritage as a topic addressed by contemporary Russian authors working in the field of visual arts with the phenomenon of magical spaces. With several works of female artists as an example, the research of the phenomenon of magical spaces in visual arts as a special artistic practice that allows authors to raise a wide range of topical issues that allows authors to raise a wide range of topical issues, that results in disputes about social equality, environmental awareness and, of course, the preservation of cultural heritage, including both physical artifacts and intangible traditions.
Основание мастерской монументальной живописи в Академии художеств
Authors: А.И. Дендерина
Published: November 2024

В статье рассматривается первый опыт создания в Высшем художественном училище при Академии художеств персональной учебной мастерской, целенаправленно занимающейся подготовкой мастеров монументальной живописи. Опираясь на малоизученные архивные материалы, автор анализирует предпосылки создания мастерской, проекты ее организации, монументальную направленность обучения, а также педагогические и творческие установки ее основателя и первого руководителя профессора В. В. Беляева.

The article considers the first experience of creating a personal training studio at the Higher Art School at the Academy of Arts, purposefully engaged in the training of masters of monumental painting. Based on little-studied archival materials, the author analyzes prerequisites for the creation of the studio, projects of its organization, monumental orientation of education, as well as the pedagogical and creative principles of its founder and first head, Professor V. Belyaev.
Analysis of Underground Pipeline Construction Technology in Municipal Engineering
Authors:   Academic Frontiers Publishing Group, Wang Cheng-Fei , Wang Bao-An , Sheng Bin
Published: November 2024

The construction technology of underground pipelines in municipal engineering is a crucial component of urban infrastructure development. Its advancement and application directly affect the normal operation of cities and the quality of life of residents. This paper defines and categorizes underground pipeline construction technology, outlines its development history and basic principles, and discusses in detail the preparatory work before construction, including surveying and measurement, design and planning, and the preparation of equipment and materials. In the section on specific applications, the paper deeply analyzes the characteristics and applicable scenarios of construction methods such as the open-cut method, trenchless technology, directional drilling, and pipe jacking.
Research on Quality Control and Optimization Strategies for Urban Gas Engineering Projects
Authors:   Academic Frontiers Publishing Group, Xing Peng
Published: November 2024

This paper explores the quality control and optimization strategies for gas engineering projects, aiming to analyze and summarize the key technologies and management methods that enhance the quality and efficiency of gas project construction. First, the characteristics of gas engineering construction and its significance in energy infrastructure development are introduced. Then, the current quality issues in gas engineering construction are analyzed, followed by a discussion on how to improve construction quality through key technologies such as thorough preparatory work, material selection and inspection, and adherence to construction processes and operational standards. Further, the importance of optimizing project management and coordination mechanisms, improving resource allocation and utilization efficiency, and implementing green construction and environmental protection measures in enhancing overall project quality and sustainable development capabilities is discussed. Finally, the paper emphasizes that through a comprehensive strategy of technological innovation and integrated management, it is possible to effectively raise the quality standards of gas engineering projects, thereby promoting industry growth and contributing to the sustainable development of society and the economy.
The Importance of Improving Maintenance Technology for Electrical Power Equipment and Specific Measures
Authors:   Academic Frontiers Publishing Group, Chen Yu-Gang , Hu Peng-Fei , Liu Bo
Published: November 2024

As a cornerstone of modern society's infrastructure, the stability and reliability of electrical power equipment are crucial to economic and social development. This paper discusses the necessity of improving the maintenance technology for electrical power equipment and proposes specific measures. By enhancing technical training and talent development, promoting advanced maintenance technologies, improving the maintenance management system, and increasing the practical skills of maintenance personnel, the safety and efficiency of the power system can be significantly improved. These measures also help to reduce operation and maintenance costs, while meeting the demands of modern power systems.
К ВОПРОСУ О МОДЕЛИРОВАНИИ ПРОЦЕССА ФОРМИРОВАНИЯ ПЕДАГОГИЧЕСКОЙ КУЛЬТУРЫ БУДУЩИХ УЧИТЕЛЕЙ
Authors: Л.Г. СВЕТОНОСОВА , Д.Ж. БЕРКУЛОВ , Д.И. ПЕШКОВ
Published: November 2024

Педагогическая культура исследуется как составляющая народной педагогики, как наследие авторских педагогических систем, как составная часть профессионализма учителя. Авторами статьи описываются педагогические интенсивы как организаци- онная форма процесса формирования педагогической культуры будущих учителей. Их сущ- ность состоит в активизации учебной деятельности будущих учителей за счет уменьшения времени, отведенного на учебное занятие. Интерактивное взаимодействие преподавателя и обучающихся между собой в процессе педагогических интенсивов способствует форми- рованию мотивационного, эмотивно-аксиологического и деятельностного компонентов их педагогической культуры. Соблюдение педагогических условий в процессе реализации раз- работанной модели в образовательном процессе будет способствовать повышению качества профессиональной подготовки студентов педагогических вузов в аспекте их педагогической культуры.

Pedagogical culture is studied as a component of folk pedagogy, as a legacy of the author’s pedagogical systems, as an integral part of the teacher’s professionalism. The authors of the article describe pedagogical intensive courses as an organizational form of the process of forming the pedagogical culture of future teachers. Their essence is to activate the educational activities of future teachers by reducing the time allotted for the training session. The interactive interaction of the teacher and students with each other in the process of pedagogical intensive courses contributes to the formation of motivational, emotive, axiological and activity components of their pedagogical culture. Compliance with pedagogical conditions in the process of implementing the developed model in the educational process will contribute to improving the quality of professional training of students of pedagogical universities in the aspect of their pedagogical culture.
HEADFIRST: Advancing Motorcycle Safety through an Intelligent Smart Helmet System
Authors: Negi Dhruv Singh , Shukla Vatan , Sinha Shweta S
Published: November 2024

For a densely populated country like India, road accidents are a significant issue, particularly for two-wheelers. Common causes include poor road conditions, driving under the influence, not wearing helmets, and delayed emergency response times. The proposed study introduces an intelligent system designed to prevent two-wheeler accidents and provide immediate accident detection for timely medical assistance. This system comprises two main modules: the helmet and bike module. The helmet module ensures the rider wears a helmet and is not intoxicated; only then will the bike start, enabled by a relay circuit. Accident-detection sensors identify accidents and automatically dispatch emergency messages, while a bypass button allows riders to cancel emergency messages if help is unnecessary. The bike module manages the engine and communication based on inputs from the helmet module, monitors road conditions, and logs data for accident prevention and maintenance insights.
EFICÁCIA DO ULTRASSOM MICROFOCADO PONTUAL NO REJUVENESCIMENTO E REPOSICIONAMENTO FACIAL: RELATO DE CASO
Authors: Garcia Isabel Priscilla
Published: November 2024

Skin aging is characterized by several changes in various tissues, including loss of collagen, redistribution of subcutaneous fat, bone resorption and subsequent remodeling of the jaws, and weakening of the Superficial Muscular Aponeurotic System (SMAS). HIFU microfocused ultrasound is described as a non-invasive treatment option for facial sagging and aging treatment, this technique is capable of producing controlled thermal coagulation points in the papillary, reticular dermis and Superficial Muscular Aponeurotic System (SMAS), causing immediate contraction, thereby inducing the production of collagen and tightening of the skin, obtaining results similar to a surgical lifting. We report a case in which the HIFU technique was used, using precise and effective equipment, which showed immediate results with gradual improvement, repositioning the tissue, restoring the contour, elasticity, sagging and general appearance of the patient's skin.
URDO&RG: A Tool for User Role Discovery and Optimization & Requirement Generation Based on User Check-in Data in LBSN
Authors: Li Yuanbang , Wang Kai , Liu Ping , Fu Zhenzhu , Xu Chi
Published: November 2024

The regularities shared by a set of users in a long-term in Location-Based Social Network (LBSN) can be abstracted as user roles. Although methods are proposed to identify user roles, the quantitative analysis of the effectiveness of the method is insufficient, and as far as we know, tools to generate user roles automatically from user data are missing. Therefore, a tool named URDO&RG (User Role Discovery and Optimization & Requirements Generation) is realized. The tool includes four main functions: (1) visualization of the data from multiple dimensions in diverse display diagram, (2) discovery of user roles using various algorithms, (3) optimization of the method to achieve better user role discovery outcome. (4) generation of user requirements from user data. Data set is used to validate the effectiveness of the tool. Result shows that, the tool can discover user roles and generate user requirements effectively, and the optimization method outperforms the original methods in many evaluation metrics.
The Analysis Study of High-intensity Focused Ultrasound in Management of Placenta Accreta Spectrum: A Comprehensive Systematic Review
Authors: Wilda Suci Hidayah  , Moh Ilham Nur Baha
Published: November 2024

Background: Placenta Accreta Spectrum (PAS) refers to a group of abnormal placental invasion disorders involving the uterine wall. High-Intensity Focused Ultrasound (HIFU) has emerged as a promising non-invasive treatment modality for PAS. This systematic review aims to evaluate the clinical outcomes associated with HIFU in the management of PAS. Methods: The study followed PRISMA 2020 guidelines, reviewing English-language publications from 2014 to 2024. Editorials, duplicate reviews from the same journal, and papers lacking a DOI were excluded. The literature search was conducted using PubMed, SagePub, SpringerLink, and Google Scholar. Result: A total of 2,172 articles were initially identified through online databases (PubMed, SagePub, SpringerLink, and Google Scholar). After three rounds of screening, eight relevant studies were selected for full-text analysis. Conclusion: HIFU offers a promising, non-invasive alternative for managing Placenta Accreta Spectrum (PAS), preserving fertility, minimizing complications, and ensuring positive outcomes. While further research is needed, it could become a standard treatment option in obstetrics and gynecology.
Advancements in Medical Science: Enhancing Patient Care through Innovative Research
Authors: Liu Yang , Wang Chenli , Zhou Li
Published: November 2024

Advancements in medical science have significantly improved patient care by introducing innovative diagnostic, therapeutic, and preventive strategies. This paper explores the latest research in clinical medicine, biomedical research, preventive medicine, surgical techniques, medical imaging, and patient safety. By examining recent developments and their implications, this paper highlights the importance of continuous research and its impact on improving patient outcomes. The paper also discusses future directions for medical research and the potential challenges faced in implementing new findings into clinical practice
The Ineffectiveness of Current Strategies in Australia Calls for a Comprehensive Anti-Fraud Ecosystem
Authors: Chen Siyu
Published: November 2024

This paper delves into the current status of the online anti-fraud market in Australia, analyzes in detail the ineffectiveness of existing strategies, and the latest actions of the government and businesses in building an anti-fraud ecosystem, so as to objectively show the application process, opportunities and challenges of the anti-fraud regulatory framework in Australia. The author gives shallow suggestions from both the government and businesses’ perspectives to facilitate building a comprehensive anti-fraud ecosystem in the future.
Gender-Specific Hormonal Profiles: Unveiling the Complex Link to Stroke Risk
Authors: Lu Ganggui , Zhang Man , Meng Facai , Liu Kaifei , Zhang Yi
Published: November 2024

Stroke affects women more frequently, suggesting a possible link to sex hormones, yet the evidence for this remains inconclusive. Here, we present a pioneering exploration of the nuanced interplay between genetically predicted sex hormone levels, with a particular focus on testosterone and SHBG, to elucidate their causal relationship with stroke risk. Utilizing Mendelian randomization, we aimed to determine whether SHBG levels causally affect stroke occurrence, with a focus on sex-specific effects and the interplay with established stroke risk factors.
We leveraged genetic variants from comprehensive genome-wide association studies (GWAS), which are known to robustly predict levels of total and bioavailable testosterone, SHBG, and cholesterol. Employing a robust statistical approach, we meticulously analyzed published GWAS summary statistics, applying inverse variance weighting and conducting comprehensive sensitivity analyses with state-of-the-art methods such as MR-Egger, weighted median, and MR-PRESSO. Multivariate analyses further addressed potential confounders, including pleiotropic effects and selection bias.
Strikingly, our results demonstrate that elevated SHBG levels are robustly associated with a markedly reduced stroke risk in women. In contrast, lower SHBG levels were associated with an increased risk of small-vessel ischemic stroke, potentially due to elevated cholesterol. These novel insights not only highlight the intricate interplay among SHBG, cholesterol, and immune system components in the pathogenesis of stroke but also illuminate avenues for future research aimed at unraveling the underlying biological mechanisms.
The Gut Microbiome: A Key Player in Immune System Regulation and Disease Prevention
Authors: Liu Xiaoming , Chen Meiling , Zhou Wei
Published: November 2024

The gut microbiome has emerged as a critical component in regulating the immune system and maintaining overall health. This review examines the intricate relationship between gut microbiota and the immune system, highlighting the mechanisms through which gut microbes influence immune responses and disease prevention. Additionally, the review explores the impact of diet, antibiotics, and probiotics on the gut microbiome and its subsequent effects on immune health. Understanding these interactions provides insights into potential therapeutic strategies for preventing and treating immune-related diseases.
Cognitive Linguistics and Vocabulary Acquisition: Enhancing English Learners' Mental Lexicon
Authors: Li Qingling
Published: November 2024

This paper explores the role of cognitive linguistics in enhancing vocabulary acquisition for English learners, focusing on key theories such as conceptual metaphor theory, prototype theory, and schema theory. By linking language learning to mental processes, these cognitive linguistic approaches promote a deeper understanding of vocabulary through meaningful associations, categorization, and contextual learning. The paper highlights how these methods can enrich learners' mental lexicons, enabling more effective vocabulary retention and use. Additionally, pedagogical strategies for integrating cognitive linguistic insights into classroom instruction are discussed, along with potential directions for future research and curriculum development in English language education.
The Impact of Graphic Design on Brand Identity and Consumer Perception
Authors: Wei Na , Yin Moyun
Published: November 2024

Visual imagery has become a dominant way of conveying information and experience in today’s world, making graphic design vital to creating both brand image and consumer impression. Logo and use of colors, typography, and images are discussed as key aspects of graphic design and as the major components of the definition of the brand, including positioning strategies. The study offers lessons on the future of branding as well as the potential of visual branding in shaping consumer behavior, consumption rates, and brand perception and association. The study establishes that much importance has to be taken in applying design thinking and balance in the design of the brand touchpoints to improve brand recognition and perceived credibility of the brand to create brand champions. The study also details how design is crucial in developing brand experiences and influencing the generation of the required emotions and loyalty toward brands. Another exciting aspect arising from the analysis relates to business branding as well as an understanding of client needs within the current technological landscape through proficient graphic design.
The Evolution of Photography in Graphic Design
Authors: Zhang Zhaorui
Published: November 2024

This review explores the evolution of photography in graphic design, tracing its development from early uses in print media to its pivotal role in the digital age. The article discusses key historical milestones, such as the integration of photography into modernist movements like Bauhaus and Constructivism, and examines how digital photography and editing tools have transformed design processes. Additionally, it analyzes current trends, including minimalism, sustainable design, and the growing impact of artificial intelligence, augmented reality, and virtual reality. By highlighting both past innovations and future possibilities, this review provides a comprehensive overview of photography’s expanding influence in graphic design.
The Role of Design Thinking in Driving Innovation
Authors: Wei Jing , Li Min
Published: November 2024

Design thinking has emerged as a powerful methodology for fostering innovation across various industries. This paper explores the principles and processes of design thinking and its impact on innovation. By examining case studies and theoretical frameworks, the paper highlights how design thinking can lead to more user-centered and creative solutions. Additionally, the paper discusses the challenges and future directions for integrating design thinking into organizational practices.
Cultural Influence on Consumer Behavior: Strategies for Adapting Marketing Campaigns in a Globalized World
Authors: Liu Huanyu
Published: November 2024

This paper explores the profound impact of cultural influences on consumer behavior and examines strategies for adapting marketing campaigns in a globalized world. Through the lens of cultural dimensions theory, particularly Hofstede’s framework, the study highlights how cultural values, social norms, and decision-making processes affect consumer preferences and purchasing behavior. The paper also discusses the debate between standardizing and localizing marketing strategies and emphasizes the importance of cultural sensitivity in advertising. Case studies, including Coca-Cola’s global marketing approach, illustrate successful adaptations to diverse cultural contexts. The findings provide valuable insights for marketers seeking to effectively engage international audiences while maintaining brand consistency.
The Impact of Generative AI on the Role of Translators and Its Implications for Translation Education
Authors: Chen Pingqing
Published: November 2024

This paper explores the profound impact of generative artificial intelligence (AI) on the translation industry and analyzes its implications for the changing role of translators and translation education. With advancements in AI technologies such as Neural Machine Translation (NMT) and GPT models, there has been significant progress in improving the efficiency and accuracy of translations. However, the responsibilities of translators have shifted from traditional manual translation to new tasks, including post-editing, quality assurance, and data management in AI-assisted translation. The paper also discusses potential threats posed by AI, including job displacement, deskilling, biases in AI output, and issues of accountability. Based on these findings, the necessity for curriculum reform in translation education is emphasized, highlighting the importance of AI literacy, technical skills, and balance with traditional linguistic competencies. Furthermore, recommendations for future research and policy in translation education are provided to ensure that translators maintain their core values and effectively adapt to technological changes in the AI era.
Anti-Collision and Warning Facilities at High-Speed Interchange Diversion Noses in China
Authors: Zhang Zhiming , Wang Haitao
Published: November 2024

This paper explores the effect of the anti-collision and warning facilities installed at high speed interchanges in China. This was inspired by the realization that the number of fatalities on China roads prior to 2004 was unacceptable and hence the need to install anti-collision devices on both highway interchanges and on vehicles so as to enhance road safety. The study found out that the installation of anti-collision devices on the highways as well as car manufacturers installing anti-collision devices on newer versions of vehicles has led to lesser impact accidents on the roads and hence reduced the number of fatalities from China roads. Though the number of accidents increased, their impact was not as severe as compared to when the anti-collision devices had not been installed. The paper concluded that the application of anti-collision and warning facilities at high-speed interchange diversion noses has significantly improved to a reduction in the number of fatalities from road accidents in China.
A Comparative Study of Social Recognition of Vocational Education in China and Germany
Authors: Yang Chen , Fleischer Martin , Wang Bingfeng , Yang Congkun
Published: November 2024

The paper presents a comprehensive comparative study on the social recognition of vocational education in China and Germany. It begins by highlighting the importance of vocational education in enhancing human capital and talent employment, and notes the global trend of governments optimizing their vocational education systems to meet societal and industrial needs. The study acknowledges the challenge of improving social recognition for vocational education, which is a critical bottleneck in its development. The study concludes by identifying key differences in the vocational education models of the two countries, including education streaming methods, social evaluation and salary treatment, enterprise participation, and teaching modes. It suggests that China can learn from Germany's experience to improve the strategic position, education model, enterprise involvement, and assessment systems of its vocational education. The document emphasizes the importance of vocational education for economic development and industrial transformation, and calls for multi-disciplinary research and policy-making to enhance its social recognition and effectiveness.
Advances in Medical Imaging Technologies and Their Impact on Clinical Practices
Authors: Li Wang , Zhang Ming
Published: November 2024

Medical imaging technologies have revolutionized the field of medicine, providing unprecedented insights into the human body that are essential for accurate diagnosis and effective treatment planning. This comprehensive review explores the latest advancements in medical imaging technologies, including digital X-ray imaging, magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound imaging, and their impact on clinical practices. Key technological innovations such as artificial intelligence, machine learning, quantum computing, and augmented and virtual reality are discussed, alongside the importance of interdisciplinary collaborations and the educational and training needs for advanced imaging technologies. The review also addresses the challenges and limitations faced by these technologies, including technical challenges, legal and ethical issues, and cost and accessibility concerns. Finally, future directions are proposed to enhance the integration and application of advanced medical imaging technologies in clinical settings.
A Comprehensive Study of Feature Selection Techniques in Machine Learning Models
Authors: Cheng Xueyi
Published: November 2024

This paper explores the importance and applications of feature selection in machine learning models, with a focus on three main feature selection methods: filter methods, wrapper methods, and embedded methods. By comparing their advantages and limitations, the paper highlights how feature selection can improve model performance, reduce redundant features, minimize overfitting, and enhance computational efficiency. Additionally, the paper discusses the applications of feature selection across various domains, including healthcare, finance, and image processing, and examines how metrics such as accuracy, precision, and recall can assess the effectiveness of feature selection. As the complexity of datasets increases, the integration of feature selection with deep learning and explainable AI emerges as a key future direction, particularly in addressing scalability and fairness issues in large-scale and real-time applications. Finally, the paper concludes with an outlook on the future development and potential of feature selection in machine learning.
Welcome to Education Insights
Authors: Clark Joseph
Published: November 2024

None
Pengaruh Model 7E Learning Cycle Dan Keterampilan Berpikir Kreatif Terhadap Hasil Belajar Mahasiswa
Authors: Adi Eka Pramono , Wedi Agus , Soepriyanto Yerry , Arifiansyah Muhammad Daffa , Firdaus Kevin Herdinata Cahyadi
Published: November 2024

Integrasi pembelajaran yang interaktif dan mendalam merupakan hal penting pada pengembangan kemampuan abad-21. Mengintegrasikan siklus pembelajaran 7E, pebelajar diberdayakan untuk terlibat, mengeksplorasi, menjelaskan, menguraikan, mengevaluasi, dan memperluas pemahaman mereka, sehingga mendorong tingkat retensi pengetahuan yang lebih dalam. Selain itu, pengembangan keterampilan berpikir kreatif dalam portofolio ini memperkuat pemikiran kreatif dan kemampuan pemecahan masalah, mempersiapkan pebelajar menghadapi tantangan dunia nyata. Saat kita menggali manfaat dan hasil dari kerangka pembelajaran transformatif ini, menjadi jelas bahwa kursus media pembelajaran audio dan video dapat benar-benar berkembang jika dilengkapi dengan siklus pembelajaran 7E dan keterampilan berpikir kreatif. Penelitian menggunakan desain eksperimen semu. Subjek penelitian melibatkan dua kelas yakni kelas A sebagai kelompok eksperimen sejumlah 40 mahasiswa dengan pembelajaran siklus 7E dan kelas B sebagai kelompok kontrol sejumlah 40 mahasiswa dengan pembelajaran konvensional. Data yang telah terkumpul kemudian di Analisa untuk mendapatkan hasil menyeluruh tentang pengaruh antara siklus pembelajaran 7E dan keterampilan berpikir kreatif terhadap hasil portofolio mahasiswa serta interaksi dari kedua faktor tersebut yang diujikan dengan tes ANOVA dua jalur. Hasil penelitian ditemukan : (1) Terdapat perbedaan hasil belajar antara mahasiswa yang menggunakan 7E Learning Cycle dan konvensional. (2)Terdapat perbedaan hasil portofolio mahasiswa yang memiliki keterampilan berpikir kreatif tinggi dan rendah. (3) Terdapat interaksi antara 7E learning cycle dengan keterampilan berpikir kreatif terhadap hasil portofolio.
Penerapan Model PLOMP Berbantuan Padlet Untuk Pembelajaran IPA
Authors: Yuliaristiawan Ervan Dwi , Praherdhiono Henry
Published: November 2024

Di era digital, pemanfaatan teknologi dalam pendidikan menjadi semakin penting. Salah satu alat digital yang dapat digunakan adalah Padlet, yaitu papan atau dinding digital yang dirancang khusus untuk keperluan pendidikan. Sebagai platform pembelajaran digital yang inovatif, Padlet merupakan alat yang efektif untuk mendorong pembelajaran abad ke-21, termasuk kreativitas yang sangat penting di era global ini. Model PLOMP adalah strategi yang tepat untuk mengembangkan rancangan pembelajaran berbantuan Padlet dalam mata pelajaran IPA. Penerapan Model PLOMP pada pengembangan rancangan pembelajaran yang terstruktur dan bertahap akan membantu mencapai tujuan pembelajaran dan meningkatkan kualitas pendidikan.
The Effect of Educational Podcasts on Increasing Understanding of Concepts Among Students
Authors: Nugroho Budi , Cale Wolnough , Jie Lie
Published: November 2024

The rapid evolution of digital media has introduced various educational tools, among which educational podcasts have gained popularity. Podcasts offer an innovative and flexible method for students to engage with content outside traditional classroom settings. Despite their potential, there is limited empirical research on the effectiveness of educational podcasts in enhancing students’ understanding of concepts. This study aims to evaluate the impact of educational podcasts on students’ comprehension of academic concepts. Specifically, it investigates whether regular podcast exposure improves students’ conceptual understanding compared to traditional instructional methods.
A quasi-experimental design involving 120 students from various educational levels was employed. Participants were divided into two groups: the experimental group, which used educational podcasts as supplementary material, and the control group, which continued with conventional teaching methods. Pre-tests and post-tests were administered to assess conceptual understanding before and after the intervention. Data analysis was conducted using quantitative methods, including t-tests and ANOVA. The results indicated a significant improvement in the experimental group’s conceptual understanding compared to the control group. The average score increase for the experimental group was 20% higher than that of the control group, suggesting that educational podcasts positively affect learning outcomes. Educational podcasts can effectively enhance students’ understanding of academic concepts. They provide an engaging and accessible way for students to reinforce learning outside classroom hours. The study highlights the potential of integrating podcasts into educational practices to support and improve student learning.
Design of Pest Detection and Repellent Device Based on Arduino Uno using Pir (Passive Infrared Receiver) Sensor
Authors: Prasetyo Nur Adi , Syamsu Muhajir , Arman Shevti Arbekti
Published: November 2024

This research aims to design and develop a technology-based pest detection and repellent device using the Arduino Uno R3 microcontroller. This tool is designed to overcome the problem of the presence of insect pests and rats on the KWT Gemas Imlan agricultural land. The developed system integrates various sensors and modules to achieve optimal performance. The PIR sensor is used to detect the movement of pests around agricultural areas, while the LDR sensor functions to measure light intensity as one of the parameters of equipment operating conditions. As an expulsion measure, this device is equipped with an NE555 module which emits high frequency sound waves to repel or force pests to leave the agricultural area. Testing is carried out in stages, starting from individual testing of each sensor to testing the entire system. The research results show that this tool can operate automatically with a fast and accurate response, so it has the potential to be an effective solution for controlling pests on agricultural land.
Pengembangan Video Model Pembelajaran pada Mata Pelajaran Pengelolaan Arsip dan Dokumen di SMK Negeri 4 Makassar
Authors: Nurfausiah Sitti , Awaliah Rifkah , Nirwana Nirwana , Nasrullah Muh. , Hasyim Nasaruddin
Published: November 2024

Kegiatan pengabdian ini bertujuan untuk mengembangkan media video sebagai model pembelajaran pada mata pelajaran Pengelolaan Arsip dan Dokumen di Sekolah Menengah Kejuruan SMK Negeri 4 Makassar. Penggunaan media video diharapkan dapat meningkatkan efektivitas pembelajaran dengan menyajikan materi yang bersifat teknis dan praktis dalam bentuk yang lebih menarik dan mudah dipahami oleh siswa. Metode yang digunakan dalam pengabdian ini meliputi analisis kebutuhan, perencanaan, pembuatan, dan pengujian media video bersama para guru dan siswa SMK. Video yang dihasilkan kemudian diimplementasikan dalam proses pembelajaran di kelas dan dievaluasi untuk mengukur sejauh mana media ini dapat meningkatkan pemahaman siswa serta keterampilan guru dalam mengintegrasikan teknologi dalam pembelajaran. Hasil kegiatan pengabdian menunjukkan bahwa penggunaan video pembelajaran dapat membantu siswa memahami materi pengelolaan arsip dengan lebih baik dan meningkatkan motivasi belajar mereka. Selain itu, guru juga memperoleh keterampilan baru dalam menggunakan media video untuk mendukung proses pembelajaran yang lebih interaktif dan fleksibel.
Predicting Bitcoin’s Price Evolution: A Comparative Analysis of Meta - Learning Algorithms
Authors: Mardia Adeev
Published: November 2024

This manuscript presents a comparative study of three machine learning models—Long ShortTerm Memory (LSTM), Random Forest Regressor (RFR), and Support Vector Machine (SVM)—for
predicting Bitcoin closing prices over the period from 2015 to 2023. The study focuses on evaluating
the predictive performance of these models in terms of key metrics such as Mean Squared Error
(MSE) and R-squared values, which measure their ability to forecast Bitcoin’s price trends. The
findings reveal that the Random Forest Regressor (RFR) model outperforms both LSTM and SVM
in terms of accuracy and robustness. RFR demonstrated the lowest MSE and the highest R-squared
value, effectively capturing both short-term fluctuations and long-term trends in Bitcoin prices. LSTM
exhibited moderate performance, struggling to capture extreme volatility, while SVM showed the
poorest results, with the highest MSE and lowest R-squared value. In addition, this study explores the
relationship between Bitcoin’s closing prices and trading volume, identifying a significant correlation
that provides insights into market sentiment and price volatility. Challenges such as data preprocessing
for SVM and hyperparameter tuning for LSTM are also discussed. The results underscore the potential
of machine learning, particularly Random Forest, in enhancing cryptocurrency trading strategies
and risk management. Future research will focus on integrating additional features and optimising
models for real-time applications.
Advanced Strategies for Mitigating Postharvest Deterioration in Soft Fruits
Authors: Raza Mohsin , Saleem Muhammad Asad , Naseer Mudassar , Farooq Amjad , Ali Shakir , Hafi Abdul , Noor Hafiz Usama , Rashid Muhammad Hamdan , Shafquat Iman
Published: November 2024

Preventing disease incidence in soft fruit post-harvest presents a substantial challenge. This study examines traditional methods and emerging technologies employed to address this issue. Conventional approaches typically regulate fruit ripening and pathogen proliferation through low-temperature storage and modified atmosphere techniques. Various methodologies such as irradiation, brief heat treatments, and chemical applications (e.g., calcium, 1-Methylcyclopropene, nitric oxide). Physical methods like heat treatments and irradiation promise to extend soft fruit's shelf-life. Biological control and treatments that stimulate the fruit's innate responses exhibit potential, particularly considering fungicide restrictions. Before commercial implementation, it is crucial to comprehend the diverse facets of these techniques. Progress in plant metabolic engineering may diminish fruit susceptibility to diseases. Swift cooling and low-temperature storage (at 0°C with 90-95% relative humidity) are indispensable for preserving soft fruit and necessitate integrated pre-harvest and post-harvest strategies. While emerging technologies may complement low-temperature storage and modified atmospheres, evaluating their feasibility and constraints on a commercial scale is imperative. Testing novel techniques under low-temperature conditions is essential for exploring alternatives that enhance existing methods. Further research is warranted to elucidate fruit-pathogen interactions, encompassing factors of pathogen virulence and the regulation of natural fruit-defense strategies. This information would be invaluable for the identification of candidate genes for breeding, the development of biotechnological approaches, and the establishment of consistent and efficacious methods rooted in the activation of the fruit's innate defense system.
ELEKTR ENERGIYANING SIFATI ASINXRON ELEKTR YURITMANING ISH SAMARADORLIGIGA TA’SIRINI TADQIQOTI
Authors:   Islom Karimov nomidagi Toshkent davlat texnika universiteti Olmaliq filiali, Dotsent, Olmaliq, O‘zbekiston, Yuldashev Elmurod Umaraliyevich
Published: November 2024

Elektr energiyanig sifati asinxron elektr dvigatelini samaradorligiga ta’siri bir nechta kattalikka bog‘liq bo‘ladi. Tarmoqdan olayotgan elektr energiyaning nosimmetriya koeffitsientiga, nosinusoidal kuchlanish, nonormal tebranish (chastota) va tarmoq garmonikalari asinxron elektr dvigatelning ishiga salbiy ta’sir ko‘rsatadi. Asinxron elektr dvigateli nonormal ish vaqtida eng avvalo uning ishlash muddati qisqaradi. Asinxron elektr dvigatellarning tortish momenti kuchlanishga va aylanish tezligi tebranish (chastota)ga bog‘liq ravishda o‘zgaradi. Bu o‘zgarishlar elektr dvigatellar uchun nonormal holat hisoblanadi. Elektr dvigatellarda nonormal holatlar undagi magnit oqimining buzilishiga va chulg‘am harorati ortib, dielektrik laklarni erishiga va fazalararo qisqa tutashuvga olib kelishi mumkin. Asinxron elektr dvigatellarning tezligini o‘zgarishi uning tortish momenti va yuklama tokini ham o‘zgarishiga sabab bo‘ladi.
Potential And Challenges Of Implementing ArtificialIntelligence In The Field Of Education
Authors: Nasution Irvandy Anugrah , Jupriaman  , Dwina Putri Dwina Putri , Munthe Muhammad Zulham
Published: November 2024

The use of Artificial Intelligence (AI) in student learning is an increasingly relevant issue in the context of modern education. This article outlines the main issues by explaining the challenges and potential of AI in learning. The purpose of this article is to provide acomprehensive understanding of the role of AI in student learning in Indonesia. The research method used is a literature review, which includes the analysis of various sources and perspectives related to theuse of AI in higher education. The data used in this article is information from various literature sources, including research results, scientific articles, and news related to the implementation of AI in education. Examples of AI applications, such as chatbots for academic guidance, online learning systems, and automated assessments, were obtained from these sources. The results of the data analysis show thatthe use of AI in student learning has great potential to improve the quality of education, but it is necessary to pay attention to ethical challenges, the risk of dependency, and the important role of humaninteraction. Solutions such as AI ethics education, strict regulations, and the integration of AI with human interaction become integral parts of the conclusion of this article. In the era of digital transformation, adeep understanding of the role of AI in education, particularly in the context of chatbots for academic guidance, online learning systems, and automated assessments, is key to enhancing the quality of education and preparing students for a technology-driven future.
ESTUDO SOBRE O PROCESSO DE ENSINO-APRENDIZAGEM DE PORTUGUÊS COMO LÍNGUA DE ACOLHIMENTO A MIGRANTES E REFUGIADOS EM RORAIMA
Authors: Moreth de Santana Mateus
Published: November 2024

Os migrantes não enfrentam problemas apenas com o desemprego, mas também com o idioma local. Aprender o Português gera oportunidades de exercerem sua cidadania. Com poucas chances de trabalho, diante do impacto de não saberem o português, surge esta proposta de identificar e analisar necessidades de aprendizagem em um Projeto de Extensão da UERR[1], com análises qualitativas, quantitativas e uma Pesquisa-Ação. Conclui-se que a maior preocupação é desenvolver um melhor desempenho profissional aperfeiçoando a escrita, e são fundamentais atividades culturais dialogando com a cultura dos alunos.
 
[1] Projeto de Extensão – Português: Língua e Cultura, da Universidade Estadual de Roraima.
DO ENSINO REMOTO AO HÍBRIDO NA ESCOLA PÚBLICA
Authors: Jesus Dánie Marcelo de , Ferreira Sombra Pires de Campos Raiane
Published: November 2024

Este artigo apresenta análises e reflexões a partir de uma narrativa autoetnográfica, de uma das pesquisadoras deste artigo, acerca das possibilidades e perspectivas do ensino de inglês no contexto de pandemia de uma escola pública. A metodologia utilizada é qualitativa interpretativista de cunho autoetnográfico. Os resultados apontam a sobrecarga de funções burocráticas para o professor e a exclusão digital como principal problema para o acesso ao ensino remoto. Contudo, a constância da tecnologia faz do letramento digital algo necessário; ademais, as ferramentas e mídias digitais se mostraram eficientes como motivadores e facilitadores para o processo de ensino e aprendizagem.
CONCEITOS ESPONTÂNEOS E CIENTÍFICOS NA FORMAÇÃO INICIAL POR MEIO DO PIBID, SUBPROJETO DE LÍNGUA INGLESA
Authors: DELLA JUSTINA OLANDINA
Published: November 2024

Este estudo discute indícios de conceitos espontâneos e científicos apresentados na teoria sociocultural vigotskiana mediante dados gerados durante o desenvolvimento de ações do PIBID, subprojeto de língua inglesa. Foram ouvidas alunas-professoras e professora supervisora de área sobre como construíram suas experiências de aprendizagem/desenvolvimento e como esses conceitos se fizeram presentes. O percurso da pesquisa ancorou-se nos moldes da pesquisa qualitativa de base etnográfica realizada por meio de entrevistas qualitativas analisadas pelo viés interpretativista. Dados indicaram que a participação no programa promove o desenvolvimento de conceitos científicos, mas também os espontâneos. Ambos são importantes para o aluno-professor na formação inicial.
Behaviors Related to Wastewater Drainage Conditions in Pantai Cermin District
Authors: Sadilla Fitri  , Linda Handayani  , Yuniarti Elsa , Barlian E
Published: November 2024

The improper or inefficient treatment of domestic wastewater can contaminate receiving water bodies, particularly when the wastewater contains hazardous chemicals that are difficult to decompose. In the Pantai Cermin District, 70% of wastewater drainage systems (SPAL) fail to meet sanitation standards. This study aims to describe community behaviors related to the condition of domestic SPAL in Pantai Cermin District in 2024. A descriptive design with a cross-sectional approach was employed, conducted from January to June 2024. The study involved 100 households or housewives selected using stratified random sampling. The findings reveal that substandard physical conditions of SPAL were most prevalent among groups with low knowledge levels (72%), negative attitudes (69%), and poor perceptions (71%).  Conclusion: The analysis indicates a significant relationship between knowledge level, attitude, perception, and the guidance provided by officers with the physical condition of domestic SPAL. Recommendations include enhancing educational programs, raising awareness, fostering community participation, and providing recognition to community groups committed to SPAL management at the local level.