bluuebunny/crossref_metadata_2025 huggingface dataset:
Automatic Pricing and Replenishment Decisions for Vegetable Products
Authors: Fan Yuehan , Chen Dingding , Lu Yin
Published: January 2025

The perishable nature of vegetable products poses significant challenges in inventory management and pricing, often leading to high waste rates and economic losses. This study addresses these issues by proposing an automated pricing and replenishment decision model that leverages statistical analysis, regression methods, and time-series forecasting. Utilizing three years of sales data from a supermarket, the research develops models to analyze the relationship between sales volume and cost-plus pricing, optimize replenishment strategies, and predict pricing for various vegetable categories. The results demonstrate that dynamic pricing and replenishment decisions can reduce waste, increase profits, and enhance supply chain efficiency. The study highlights the practicality of using machine learning models like LSTM to forecast demand and pricing while acknowledging limitations such as simplifying assumptions and the need for multidimensional data. Future research directions include integrating external factors, such as climate impacts, to improve the models adaptability and accuracy.
Application of Artificial Intelligence in Medicine
Authors: Yan Jiaming
Published: January 2025

In recent years, generative artificial intelligence has made significant breakthroughs in the medical field. The rapid development of deep learning technology has brought new opportunities to many application fields such as medical image analysis, disease prediction, clinical decision support systems, and surgical robots. This article reviews the current status of artificial intelligence applications in medicine, explores the accurate recognition capabilities of technologies such as convolutional neural networks in medical image analysis, and the potential of machine learning in disease risk assessment and personalized health management. At the same time, it analyzes the ability of artificial intelligence to generate optimization solutions in clinical decision support systems and the advantages of surgical robots in complex operations. Although artificial intelligence has broad application prospects, it still faces challenges such as lack of explainability, data privacy, and security. Future development requires strengthening the improvement of relevant laws and regulations to protect the rights and interests of patients and promote the healthy progress of artificial intelligence.
Review of the Innovation and Development of Collaborative Sensing Technology for Driverless Vehicles
Authors: Tang Zhuoer
Published: January 2025

Recent advances in autonomous driving technology have marked a significant shift in transportation systems, bringing self-driving capabilities closer to widespread adoption. This technology promises to reduce human intervention in driving tasks while enhancing transportation efficiency and convenience. Collaborative sensing technology is one of the hot research directions of unmanned driving technology. The birth of this technology can help us effectively solve the problems of occlusion and detection distance limitation in the process of vehicle perception. The first part of the paper introduces the current dilemma of unmanned driving technology and proposes collaborative perception as an effective means to solve the problem. Then "The advantages of collaborative perception technology" introduces the specific advantages of this technology. In the section of Methods of collaborative perception, it introduces the specific methods of collaborative perception technology from three perspectives: vehicle communication, data fusion and data sharing. In The challenge and innovation of collaborative perception, the difficulties faced by this technology and the means of innovation are discussed. This comprehensive analysis provides readers with fundamental insights into collaborative perception systems, establishing a foundation for future research and innovation in autonomous driving.
Analysis and Design of Low Power Digital Real Time Clock
Authors: Wang Maolin
Published: January 2025

As chip integration increases and operating speeds accelerate, power consumption rises, impacting performance and reliability in battery-powered devices. Reducing chip power consumption while maintaining performance is crucial in current research. The evolution of real-time clocks (RTCs) began before the 21st century, initially as frequency dividers with limited functions and high-power consumption. Modern low-power digital RTCs enhance home convenience and efficiency in transportation, education, and healthcare. This article introduces digital low-power technology, analyzes chip power consumption, discusses various low-power technologies, and presents a chip system architecture. It then introduces oscillators, focusing on the crystal and Pierce oscillators, and concludes with the design of a digital RTC, including SPI interface, frequency divider, and perpetual calendar modules, with front-end power consumption optimization. Low-power digital RTCs are essential in the IoT, smart homes, and offices, meeting long-term operation and precise time synchronization needs. Low-power digital RTCs are essential in the IoT, smart homes, and offices, meeting long-term operation and precise time synchronization needs. With expanding application scenarios, the demand for low-power digital RTCs will continue to grow, driving technological innovation and societal progress.
Neural Network-Enhanced Nonlinear PID Control: Advances in Stability, Robustness, and Real-World Application
Authors: Fu Xiaozheng
Published: January 2025

With the continuous advancement in the field of automatic control, enhancing the robustness of control systems to ensure their reliable operation under various uncertain interference factors has become increasingly crucial. Compared to traditional linear control systems, nonlinear control systems demonstrate superior robustness when confronted with complex disturbances and can effectively prevent issues such as system overshoot. Neural networks, as computational models composed of multiple interconnected neurons, exhibit strong nonlinear modeling capabilities. Consequently, neural networks can be utilized to enhance nonlinear PID controllers, further improving their adaptability. Besides, neural networks have self-learning capabilities, and that makes them very suitable for dynamic and uncertain environments. This work reviews the recent progress of research on the stability of PID controllers and investigates several control methods for nonlinear systems with their advantages and disadvantages, considering the neural network improvements. Then, the application of those controllers in real production scenarios is given in detail. At last, this paper addresses some current limitations of research in this area and gives some insights into the future development based on how to advance the research and application of neural network-enhanced nonlinear PID control algorithms.
Advanced Leakage Current Suppression Techniques for Three-Phase Non-Isolated Photovoltaic Inverters: A Focus on Structural Modifications
Authors: Wang Changfeng
Published: January 2025

Leakage current is a critical issue that affects non-isolated photovoltaic grid-connected inverter systems. The development and deployment of non-isolated PV inverters are severely hampered by leakage current, which can also raise system losses, compromise safety, impair the quality of the power grid, and generate electromagnetic compatibility problems. A three-phase non-isolated photovoltaic inverter is the focus of this paper's investigation, and the basic leakage current model is first built. Subsequently, the paper analyzes two of the latest leakage current suppression technologies from the perspective of circuit structure, comparing their advantages, disadvantages, and application scopes. Finally, the paper explores the future development directions and challenges of leakage current suppression technologies, providing valuable reference points for optimizing leakage current suppression in the future.
Leakage Current Suppression Strategies for Non-Isolated Photovoltaic Inverters: Topology Improvements and Performance Analysis
Authors: Ye Qijia
Published: January 2025

Non-isolated photovoltaic inverters are widely utilized in small- and medium-scale distributed photovoltaic power generation systems. However, the issue of leakage current remains a significant challenge, impeding their further development and application. This paper presented a detailed circuit model to describe the leakage current phenomenon in non-isolated photovoltaic inverters. Additionally, an analysis was provided to identify the key factors contributing to leakage current. Following this, the paper reviewed and evaluated recent advancements in leakage current suppression strategies, particularly those involving improvements in circuit topology. The analysis covered two innovative single-phase inverters and three advanced three-phase inverters. Finally, this paper discussed the challenges associated with emerging non-isolated photovoltaic inverters and offered insights and recommendations for future research aimed at improving leakage current suppression.
Embedded Smart Sensor Network Architecture Based on Edge Computing
Authors: Li Xinwei
Published: January 2025

This paper focuses on the integration of edge computing in smart sensor networks. In Internet of Things (IoT) applications, traditional cloud computing models cause data processing delays due to long-distance data transmission. This transmission delay significantly impairs real-time data processing and feedback capabilities, particularly in time-sensitive applications. Edge computing can transfer data to local devices for processing so that data that is affected by network congestion does not have to be transmitted long distances to the cloud for processing. It can greatly reduce the delay caused by network congestion and reduce energy consumption. In addition, it also provides certain guarantees for data security. Building upon these characteristics, edge computing offers several key advantages. First, it enables efficient local data processing for real-time operation. In some industrial applications such as smart grids and intelligent transportation systems, edge computing can operate highly autonomously. This avoids the delay caused by network fluctuations when transmitting to the cloud. This paper explores the integration of lightweight machine learning models, particularly TinyML, in edge computing applications. These models will improve the data processing capabilities of edge devices. Finally, the article also proposes further ideas for this new architecture to make up for the shortcomings of the architecture in task allocation and data processing.
Terrain-Adaptive Gait Planning Method for Hexapod Bionic Robots
Authors: Zhang Junhan
Published: January 2025

Robots, as a form of technology with various designs, have infinite potential to serve in multiple areas. Hexapod robots are a design that mimics the six-legged structure of many insects. The six-legged structure offers significant advantages in stability, adaptability to diverse environments, and fault tolerance compared to other widely used robots. A well-designed algorithm for gait planning is required to control this complex system. Fixed pattern gait planning is limited in multiple ways, so advanced gait planning methods are developed. The paper compares the advantages of two commonly used gait planning algorithms: Reinforcement Learning (RL) and Central Pattern Generators (CPGs). RL enables hexapod robots to discover the best gaits by employing a process of trial and error. This enables them to adapt dynamically to complex and changing environments. However, flexibility comes at the cost of requiring significant computational resources and extensive training time. CPGs leverage biological principles to produce rhythmic and stable movement patterns through simpler, oscillatory control mechanisms, offering robust and energy-efficient gait generation. While CPGs provide quick and reliable solutions with minimal computation, they lack the adaptability to sudden disturbance without enough data for the environment. Future work will focus on developing hybrid approaches that effectively combine the strengths of both methods.
Research and Application Analysis of Traffic Lightcontrol System
Authors: Xiao Zikai
Published: January 2025

Traffic light is an important tool to manage urban traffic. In recent years, the influence of traffic light on road traffic flow has attracted extensive attention of scholars. At present, most of the traffic light time is pre-set, the so-called static, or non-dynamic timing. No matter the traffic peak or trough, the time and interval of the traffic light are fixed, obviously, under the guidance of such a timing strategy, the traffic flow cannot play a reasonable role in traffic guidance, and the traffic flow cannot improve the efficiency of the vehicle but cause unnecessary delays. To solve this problem, this paper introduces three kinds of applications, namely emergency vehicle priority system, pedestrian crossing system and intelligent traffic light control system, and gives three kinds of implementation schemes in each application. This paper analyzes the implementation methods and principles of various methods, compares the advantages and disadvantages of the methods, and gives the suggestions of future development direction and optimization direction.
Comprehensive Analysis of Design Trends in Scattered Power Systems Utilizing Hydrogen as the Power Carrier
Authors: Qiao Rui
Published: January 2025

In this paper, the technological applications of hydrogen in the distributed energy systems are explored and various technological solutions such as gasification units, fuel cells, electrolyzers, hydrogen storage methods and methanation reforming reactors are analyzed. The study shows that electrolysis and fuel cells are widely recognized as the preferred technologies for incorporating hydrogen into energy systems, with alkaline electrolyzers in particular being favored for their greater capacity and technological advantages. Besides, research on hydrogen storage has focused on gas storage methods, as liquefied hydrogen requires great economic and energy inputs at low temperatures and high pressures. End uses of hydrogen include hybrid fuels, storage media and industrial raw materials. The results show that the widespread use of hydrogen energy storage is a direct result of the integration of renewable resources and indicate the potential of distributed energy systems for the sustainable provision of transportation fuels and raw materials. In addition, it analyzes a systematic assessment of hydrogen as an energy source, focusing on economic, technological, and environmental issues, noting that about 80% of the studies focus on economic factors, and emphasizes the importance of establishing an integrated framework to facilitate the application of hydrogen technology
Deep regularization techniques for improving robustness in noisy record linkage task
Authors: Xu Yichen
Published: January 2025

Linking records is essential in data integration, healthcare analysis, fraud detection, and other applications where matching across datasets is needed. But actual data is usually noisy (lost values, typos, inconsistent formatting), and these factors greatly sour the performance of deterministic and probabilistic approaches. In this paper, we introduce a deep learning model and high-level regularizations (dropout, weight decay, early stopping) to enhance robustness for noisy record linkage. We test the approaches by using open data, that are simulated scenarios of real world with different levels of noise. Data augmentation generates fake noise (realistic input errors). Results reveal that regularization techniques improve the models performance under noisy environments with up to 20% better accuracy and recall than unregularized models. Dropout specifically tended to generalise better by limiting overfitting to noise. These results reveal the potential of deep learning and regularization to address record linkage problems in noisy environments, and suggest future work on additional techniques including adversarial training and batch normalization.
PARKINGI W MIEŚCIE. PRÓBA WSTĘPNEGO UPORZĄDKOWANIA POGLĄDÓW W KONTEKŚCIE WYZWAŃ ROZWOJOWYCH DLA MIAST, NA PRZYKŁADZIE GÓRNOŚLĄSKO - ZAGŁĘBIOWSKIEJ METROPOLII (GZM).
Authors:   Akademia Śląska, Wydział Architektury, Budownictwa i Sztuk Stosowanych, ul. Rolna 43, 40-555 Katowice,, GACHOWSKI MAREK
Published: January 2025

W artykule podjęto próbę uporządkowania poglądów na problem dostępności nieograniczonej liczby miejsc parkingowych, w obszarach śródmiejskich i centralnych miast o historycznie ukształtowanej strukturze urbanistycznej. Obserwuje się bowiem obecnie istotny konflikt interesów, pomiędzy zwolennikami przywrócenia miast pieszym (na przykład idea miasta piętnastominutowego), a zwolennikami nieograniczonej możliwości parkowania samochodów osobowych w tych obszarach. Ze względu na charakter struktur urbanistycznych historycznie kształtowanych, pogodzenie tych sprzecznych tendencji jest bardzo trudne, lub wręcz niemożliwe. W artykule wskazano, że za ograniczeniem ilości miejsc parkingowych w tych obszarach przemawiają zarówno aspekty urbanistyczno - funkcjonalne (sprzeczność pomiędzy potrzebami człowieka pieszego, a użytkownika samochodu) oraz aspekty finansowe (bardzo wysokie koszty, przy braku ogólnospołecznych korzyści). Wnioski wydają się wskazywać, że opisany powyżej konflikt jest de facto konfliktem cywilizacyjnym pomiędzy podejściem konserwatywnym indywidualistycznym, a podejściem postępowym, zakładającym współdziałania społeczności miejskiej na wielu płaszczyznach.
MOŻLIWOŚCI I OGRANICZENIA ZASTOSOWANIA PROCESU SPAWANIA LASEROWEGO, DO ŁĄCZENIA ODLEWANYCH ELEMENTÓW MANIFOLD I TURBINY SILNIKÓW SPALINOWYCH. CZ.2. SPAWANIE LASEROWE MIESZKA KOMPENSACYJNEGO Z KOLEKTOREM
Authors:   Instytut Spawalnictwa (obecnie Sieć Badawcza Łukasiewicza), Stano Sebastian , Anioł Radomir ,   Sonima Sp. z o.o.
Published: January 2025

W drugiej części artykułu przedstawiono wyniki badań technologicznych spawania laserowego
elementów odzwierciedlających połączenie kolektora z mieszkiem sprężystym, stanowiących części
zespołu manifold. Określono wpływ sposobu przygotowania elementów do spawania, mocy wiązki
laserowej i kąta jej propagacji, położenia ogniska oraz rozmiarów ogniska wiązki na przebieg procesu
spawania, jakość spoiny oraz głębokość wtopienia.
ENTREPRENEURIAL EDUCATION FROM THE PERSPECTIVES OF SELF-DETERMINATION AND SELF-DEVELOPMENT FOR FUTURE ENGINEERS
Authors: BAZYL LIUDMYLA , NESTORENKO TETYANA , ORLOV VALERII , OSTENDA ALEKSANDER
Published: January 2025

"This article presents the results of a study on the impact of entrepreneurial education on the formation of entrepreneurial qualities in future engineers through personal self-determination and professional self-development. The integration possibilities of professional engineering education with entrepreneurial preparation are highlighted. The role and significance of motivation for entrepreneurial activity among future engineers are clarified. The concepts of “self-determination”, “development”, and “self-development” for future engineers are specified. It has been proven that individual self-determination and motivation for integrative self-development play a decisive role in forming a specialist as both an engineer and an entrepreneur, among other factors. Implementing the research results will enhance the effectiveness of entrepreneurial education and stimulate the self-development of entrepreneurship, fostering future engineers’ desire to actively participate in the socio-economic development of the state. The purpose of the study is to determine the specific influence of entrepreneurial education (including programs, methods and technologies, content, and forms) on the formation of entrepreneurial qualities in future engineers from the standpoint of self-determination and depending on the level of integrative self-development. The study employs theoretical methods such as analysis of scientific literature, generalization of received information, system analysis, and interpretation of empirical data; and empirical methods including diagnostic methods and methods of mathematical statistics."
PSYCHOSOCIAL ASPECTS OF CRISIS COUNSELLING IN WAR CONDITIONS
Authors: OSTOPOLETS IRYNA , KOBYLNIK LILIIA , BILUKHA TAMARA , DROZDOVA DIANA
Published: January 2025

"The article is devoted to the analysis of psychosocial aspects of crisis counselling in wartime
conditions. The methods, strategies, and their impact on the mental health of the affected individuals
are examined. It is found that providing comprehensive support to the community during and
after the war positively influences the restoration of resilience among the population. The high
level of psychological distress in communities that have experienced military conflicts necessitates
thorough psychological and psychosocial support. The article also discusses ethical issues and the
integration of modern technologies into crisis counselling, which significantly expands access to
psychological assistance. Additionally, the peculiarities of training and preparing specialists in the
context of providing aid in extreme conditions are analysed.
Crisis counselling in wartime conditions is an important tool for supporting mental health and
social adaptation of the affected individuals. Considering psychosocial aspects, tailoring counselling
methods to cultural and social conditions, integrating modern technologies, and preparing specialists
are key elements of effective assistance. The use of exposure methods in crisis counselling during
wartime is an effective means of psychosocial support for the population, reducing symptoms of
stress, fear, and anxiety associated with traumatic memories. Further research and the development
of practical recommendations will enhance the effectiveness of crisis counselling and improve the
quality of life for those affected by war."
Representative Images of Saudi Arabia and Saudis: An Imagological Study of Some Selected Novels in English
Authors: S. A. Aly Mohamed , Alshammari Asma Sakit
Published: January 2025

The image of the Orient has been a “construct” of the West, emerging from a dualistic dichotomy of East versus West, or the subject encountering the “Other”—the subservient other that needs the “civilizing mission” of the West (mission civilisatrice in the sarcastic words of Edward Said). In the contemporary scene, the images of Saudi Arabia and the Saudis in western novelistic discourse has not displayed much change, or it may have taken different forms under the effect of the demise of the old colonialism and the prevalence of globalization, especially in the cultural sphere. The Orient has woven itself into Western culture through translations and English-language writings, shaping its own image and sparking significant interest due to the substantial political and economic influence of contemporary Saudi Arabia. The current study investigates some representative images of Saudi Arabia and Saudis in Anglophone narratives of English-speaking novelists, native Saudis’ novels in English, and translations of Native Saudis’ novels. This adds a discussion of the image of the orient created by the orient itself. In analysing these images, the study explores numerous examples, comparing and contrasting them in the manner of imagology, with special reference to three representative narratives: Hilary Mantel’s Eight Months on Ghazzah Street (1988), Ghazi Al-Gosaibi’s Freedom Apartment (1994/1996), and Eman Quotah’s Bride of the Sea (2021).
Contribuições da gestão da informação e do conhecimento nas atividades-meio exercidas pelos técnico-administrativos em educação de universidades federais brasileiras
Authors: Beirauti Adriane , Barboza Elder Lopes
Published: January 2025

Objetivo: Investigar contribuições da Gestão da Informação e da Gestão do Conhecimento nas atividades-meio exercidas pelos Técnico-Administrativos em Educação, para a gestão de universidades federais brasileiras. Metodologia: Estudo qualitativo descritivo com a utilização da Soft Systems Methodology ou Metodologia de Sistemas Flexíveis, realizado em três ciclos que envolveram pesquisas bibliográfica, documental e coleta em campo. Resultados: Os resultados obtidos transpareceram a centralidade do sistema humano de atividades, no que se refere às contribuições da Gestão da Informação e Gestão do Conhecimento, que ocorrem organicamente e se orientaram pela cultura e pelo comportamento informacional, e, por se tratar da Administração Pública, verificou-se relação funcional com a governança, traduzindo-se, fundamentalmente, em conceitos, práticas e ferramentas tecnológicas. Conclusões: Conclui-se que ambas as disciplinas somadas à referida metodologia utilizada, destacando-se as análises um, dois e três e os tipos de mudanças, podem ser formalmente adotadas e implementadas para contribuir com a gestão universitária.
Literatura Marginal e o Slam de autoria feminina
Authors: Da silva Eliane , Batista Alves Júlia
Published: January 2025

Este artigo explora a história e o impacto da Literatura Marginal no Brasil, que emergiu como uma forma de resistência e expressão artística durante um período de ditadura militar e repressão política. Contrastando com a Literatura Mainstream, predominantemente conservadora, a Literatura Marginal representa a voz às minorias sociais e é marcada por uma linguagem crua e direta, abordando temas tabus como drogas, sexo e desigualdade social. Destacam-se autoras como Conceição Evaristo e Carolina Maria de Jesus, cujas obras refletem as realidades das periferias urbanas e as lutas das mulheres negras. Além disso, o artigo discute a evolução para o movimento de Slam Poetry no Brasil, destacando seu papel como ferramenta de expressão e engajamento social para mulheres, com representantes como Mel Duarte e Ryane Leão. Por fim, examina-se a relevância da Literatura Marginal na educação, como um instrumento para promover a consciência crítica dos estudantes e ampliar a representatividade na sala de aula.
Análise empírica de fragilidade do meio físico do município de Piquete-SP
Authors: Tavolaro Melo Caio , Cardoso Silva Igor , Ramos da Costa Natãn Rômulo , Zumkeller Sabonaro Débora , Pisani Rodrigo José
Published: January 2025

As mudanças no uso da terra causadas pelas ações antrópicas alteram as dinâmicas naturais e provocam a acentuação de processos naturais, como a erosão hídrica. Nesse sentido, o presente trabalho tem como objetivo caracterizar a fragilidade ambiental do município de Piquete-SP, por análises de pesos utilizando o QGIS. Para isso, utilizamos uma adaptação da metodologia da fragilidade empírica proposta por Ross (1994). No caso foi realizada uma Análise Multicriterial Simples para classificar e dar pesos com a mesma importância para cada variável observada, como declividade, uso da terra e pedologia, para gerar mapas de fragilidade potencial e emergente da região. Esses mapas evidenciaram locais com maior e menor suscetibilidade a processos erosivos de perda de solo, categorizando em cinco classes, desde fragilidade muito baixa, até muito alta. Destacam-se que as classes de maior fragilidade ocorreram em áreas de declive mais acentuado associado a solos mais suscetíveis e a usos da terra com maiores pesos. Nessas áreas foi possível observar erosões lineares em vários locais reforçando a hipótese da pesquisa. Esses resultados associados a metodologia aplicada mostraram-se importantes para a compreensão e um manejo ambiental eficiente, uma vez que as ações antrópicas influenciam diretamente na fragilidade da paisagem.
Efektivitas Model Pembelajaran Berbasis Proyek Bermuatan LKPD Etnosains Kuliner Kamboya terhadap Kemampuan Bernalar Kritis di Fase B Sekolah Dasar
Authors: Fadilah Laila Nur , AR Muhammad Misbahudholam , Armadi Ali
Published: January 2025

Penelitian ini membahas dampak penerapan pembelajaran berbasis proyek (PjBL) bermuatan Lkpd etnosains kuliner lokal, yaitu kue Kamboya dari Pulau Kangean, terhadap keterampilan bernalar kritis siswa Kelas IV Fase B di SDN Pabian IV. Dengan desain one-group pretest-posttest, penelitian ini menunjukkan peningkatan signifikan keterampilan bernalar kritis siswa berdasarkan analisis skor N-gain dan uji-t sampel independen (nilai signifikansi uji-t sebesar 0,001, p < 0,05). Temuan ini menegaskan bahwa integrasi media kuliner lokal dalam pembelajaran berbasis proyek mampu memperkuat kemampuan siswa dalam berpikir kritis, sekaligus memperkaya pembelajaran dengan elemen budaya lokal.
Pengaruh Kualitas Produk dan Harga terhadap Keputusan Pembelian
Authors: Hidayat Bagja , Tjiptodjojo Kartika Imasari
Published: January 2025

Tujuan dari penelitian ini ialah menganalisis bagaimana harga serta kualitas produk memengaruhi keputusan untuk membeli produk 444Cloo di Kota Cimahi. Pengambilan sampel secara purposive sampling digunakan untuk memilih 102 responden penelitian, yang menggunakan pendekatan kuantitatif serta kuesioner untuk mengumpulkan data. Regresi linier berganda digunakan untuk memeriksa data guna mengevaluasi dampak parsial dan simultan dari faktor-faktor independen kepada variabel dependen. Hasil membuktikan kalau harga serta kualitas produk memiliki dampak terhadap keputusan pembelian masyarakat. Kedua faktor ini memengaruhi sebesar 52,3% pada keputusan pembelian. Penelitian ini menekankan betapa pentingnya menarik pelanggan dengan menawarkan harga yang kompetitif beserta kualitas produk yang luar biasa. Konsekuensi praktis dari penelitian ini mencakup perlunya taktik untuk menaikkan kualitas produk dan fleksibilitas harga guna menaikkan daya saing pasar.
Pengaruh Supervisi Kepala Sekolah dan Motivasi Kerja terhadap Kompetensi Profesional Guru di SD Negeri Kecamatan Temanggung Kabupaten Temanggung
Authors: Puspitasari Dewi , Prayito Muhammad , Nugrahani Dyah
Published: January 2025

Penelitian ini bertujuan untuk menganalisis pengaruh supervisi kepala sekolah dan motivasi kerja terhadap kompetensi profesional guru di SD Negeri Kecamatan Temanggung, Kabupaten Temanggung. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik analisis data berupa uji t dan uji simultan. Hasil penelitian menunjukkan bahwa Supervisi kepala sekolah memiliki pengaruh positif dan signifikan terhadap kompetensi profesional guru. Hasil uji t menunjukkan nilai thitung sebesar 16,440 lebih besar dari ttabel sebesar 1,9737, dengan nilai signifikansi 0,000 < 0,05. Besarnya pengaruh supervisi kepala sekolah terhadap kompetensi profesional guru adalah 61,2%. Motivasi kerja berpengaruh positif dan signifikan terhadap kompetensi profesional guru. Hasil uji t menunjukkan nilai thitung sebesar 8,710 lebih besar dari tabel sebesar 1,9737, dengan nilai signifikansi 0,000 < 0,05. Besarnya pengaruh motivasi kerja terhadap kompetensi profesional guru adalah 30,7%. Supervisi kepala sekolah dan motivasi kerja secara simultan berpengaruh positif dan signifikan terhadap kompetensi profesional guru. Hasil uji F menunjukkan nilai Fhitung sebesar 141,366 lebih besar dari Ftabel sebesar 2,66, dengan nilai signifikansi 0,000 < 0,05. Kontribusi efektif supervisi kepala sekolah dan motivasi kerja terhadap kompetensi profesional guru adalah 62,5%. Hasil penelitian ini menegaskan bahwa peningkatan supervisi kepala sekolah dan motivasi kerja dapat meningkatkan kompetensi profesional guru di sekolah dasar.
Pengembangan Media Pembelajaran Berbasis Leaflet Digital pada Materi Proklamasi Kemerdekaan Indonesia dalam Pembelajaran Sejarah Indonesia Kelas XI SMK Abdurrab Pekanbaru
Authors: Suryana Leli , Ahmal Ahmal , Fikri Asyrul
Published: January 2025

1) Tujuan penelitian ini adalah untuk mengembangkan media pembelajaran berbasis leaflet digital pada materi proklamasi kemerdekaan Indonesia dalam pembelajaran sejarah Indonesia kelas XI SMK Abdurrab Pekanbaru. 2) untuk mengetahui kelayakan pengembangan media pembelajaran berbasis leaflet digital pada materi proklamasi kemerdekaan Indonesia dalam pembelajaran sejarah Indonesia kelas XI SMK Abdurrab Pekanbaru. 3) untuk mengetahui respon peserta didik dan guru setelah menggunakan media pembelajaran berbasis leaflet digital pada materi proklamasi kemerdekaan Indonesia dalam pembelajaran sejarah Indonesia kelas XI SMK Abdurrab Pekanbaru. Jenis penelitian ini adalah pengembangan dengan model pengembangan ADDIE yang terdiri dari analisis, perancangan, pengembangan, implementasi, evaluasi. Hasil validasi ahli untuk media leaflet digital berdasarkan tahap penilaian ahli materi 86%, ahli media 95,7%, penilaian oleh siswa pada kelompok kecil 93,3 %, penilaian oleh siswa kelompok besar 95,4% dan penilaian oleh guru 96,9% dengan keseluruhan hasil persentase mendapatkan kategori “Sangat Layak”. Hal tersebut menunjukkan bahwa pengembangan media pembelajaran berbasis leaflet digital pada materi proklamasi kemerdekaan Indonesia dalam pembelajaran sejarah Indonesia kelas XI SMK Abdurrab Pekanbaru dapat dikatakan sangat layak dilihat dari hasil keseluruhan persentase yang didapatkan.
Motivasi Berwirausaha Remaja Masjid
Authors: Hidayat Azli , Ayub Daeng , Jais Muhammad
Published: January 2025

Munculnya motivasi ketika ingin melakukan sesuatu merupakan investasi utama dalam pengembangan diri, terutama motivasi memulai usaha. Motivasi merupakan suatu dorongan yang timbul dari keinginan seseorang untuk mengejar motivasi sebagai titik tolak tindakan yang akan membuahkan hasil yang diinginkan. Motivasi berwirausaha merupakan salah satu faktor yang sangat penting untuk menumbuhkan jiwa wirausaha pada masyarakat. Bagaimana motivasi berwirausaha generasi muda di Masjid Al-Muqorribin Desa Tarai Bangun, Kecamatan Tambang Kabupaten Kampar? Bagaimana kontribusi masing-masing indikator motivasi berusaha generasi muda di Masjid Al-Muqorribin Desa Tarai Bangun, kecamatan Tambang kabupaten Kampar? Jenis penelitian ini adalah penelitian deskriptif yang menggunakan metode kuantitatif. Populasi statistik untuk penelitian ini adalah pemuda Masjid Al- Desa Tarai Bangun yang berjumlah 35 orang, dan sampel yang diperoleh sebanyak 33 orang. Metode analisis data yang digunakan dalam penelitian ini adalah analisis statistik deskriptif dan analisis statistik. Berdasarkan analisis deskriptif diperoleh tingkat motivasi berwirausaha dengan rata-rata sebesar 3,83 yang berada pada definisi tinggi. Dan hasil analisis deskriptif pada masing-masing variabel sangat tinggi dengan rata-rata sebesar 3,83. Oleh karena itu, setiap gelar memberikan porsi yang kecil terhadap motivasi berwirausaha, hal ini terlihat dari besarnya bagian yang diberikan yaitu sebesar 14% hal ini bermakna bahwa masih terdapat indikator lain selain indikator dalam penelitian.
Pengaruh Media Pembelajaran Berbasis Augmented Reality (AR) terhadap Hasil Belajar Pendidikan Pancasila Siswa Kelas XI SMA Negeri 1 Enok
Authors: Rohani Rohani , Hambali Hambali , Supentri Supentri
Published: January 2025

Penelitian ini bertujuan untuk mengetahui pengaruh media pembelajaran berbasis augmented reality terhadap hasil belajar Pendidikan Pancasila siswa kelas XI Sekolah Menengah Atas (SMA) Negeri 1 Enok.  Jenis penelitian yang dilakukan pada penelitian ini adalah penelitian kuantitatif bersifat eksperimen dengan bentuk desain yang digunakan adalah Pretest-Posttest Control Group Design. Teknik pengumpulan data yang digunakan adalah lembar observasi, angket, tes dan dokumentasi. Sedangkan analisis data dalam penelitian ini menggunakan uji normalitas, homogenitas, uji beda independent sample t-test dan uji N-Gain. Hasil penelitian ini menunjukkan bahwa media pembelajaran berbasis augmented reality berpengaruh positif dan signifikan terhadap hasil belajar siswa, yang mana terdapat perbedaan hasil belajar siswa yang menggunakan media pembelajaran berbasis augmented reality  dengan yang tidak menggunakan media pembelajaran berbasis augmented reality. Perbedaan tersebut dapat dilihat dari hasil uji beda independent sample t-test yang menunjukkan nilai rata-rata hasil belajar siswa sebelum perlakuan sebesar 54.21 dan setelah perlakuan sebesar 83.10. Berdasarkan Uji N persen media pembelajaran berbasis augmented reality cukup efektif untuk meningkatkan hasil belajar siswa kelas XI SMA Negeri 1 Enok.
Penerapan Model Pembelajaran Problem Based Learning (PBl) untuk Meningkatkan Hasil Belajar Siswa Kelas 5 Sdn 060886 pada Materi Rantai Makanan
Authors: Ambarwati Nova Florentina , Simanihuruk Endang Ernawati , Daulay Mita Suryani , Mahyuni Mahyuni , Silalahi Veni , Aisyah Tuti , Aflah Nurul
Published: January 2025

This classroom action research aims to improve the learning outcomes of fifth grade students of SDN 060886 on the food chain material through the application of the Problem Based Learning (PBL) learning model. The PBL model is applied to encourage students to be actively involved in the learning process by solving real problems relevant to the food chain topic. This research was conducted in two cycles, with each cycle consisting of planning, implementation, observation, and reflection stages. The subjects of the research were fifth grade students of SDN 060886, with data collected through learning outcome tests, observation sheets, and interviews. Data analysis was carried out descriptively to see the increase in student learning outcomes from cycle to cycle. The results of the study showed that the application of the PBL model can significantly improve student learning outcomes. In cycle I, the average student score reached a fairly good category, while in cycle II, the average student score increased to a good category. In addition, student participation and motivation in learning also increased. Thus, the application of the Problem Based Learning learning model has proven effective in improving student learning outcomes on the food chain material. This study recommends the application of PBL as one of the learning strategies to improve the quality of the process and learning outcomes in elementary schools.
Pengaruh Pendekatan Open Ended Terhadap Kemampuan Berpikir Kritis Matematika Siswa
Authors: Nurlita Tasya , Kintoko Kintoko , Aviory Koryna , Susetyowati MM Endang , Sunanti Titis
Published: January 2025

The purpose of this study is to describe students' critical thinking skills using the open ended approach and using the Scientific approach and to determine the effect of the open ended learning model on students' critical thinking skills. The research method used is a quasi-experimental design with a nonequivalent control group design with a population taken from class VIII A and B of SMP Masyithoh Kroya, Cilacap Regency. This research was conducted in September 2024. This study uses a quantitative research method. Data collection uses test, observation and documentation techniques. Validity uses professional judgment techniques. The data analysis technique uses the Mann-Whitney test after the analysis prerequisite test includes the normality test of distribution and the homogeneity test of variance. Based on the analysis carried out by the researcher, it can be concluded that the critical thinking skills of students in the experimental class after applying the open ended approach model got an average score of 36.62, and the control class using the Scientific approach got an average score of 28.39. The use of the open-ended approach model has a significant effect on students' critical thinking skills, this is proven by the results of the Mann-Whitney test which shows a high Asymp value. Sig.(2-tailed) = 0.000, which is less than the significance level of 0.05, from these results it is concluded that the Pythagorean open-ended approach has a significant effect on students' critical thinking skills in mathematics.
The Associations Between Loneliness and Community College Student Well Being
Authors: Diermeier Drew , Lazaris Nicholas , Medina Daniel , Morissette Max
Published: January 2025

Loneliness is a growing epidemic affecting an increasing number of people, with college students being at elevated risk compared to other populations (Zahedi et al., 2022). This is due in part to their removal from familiar surroundings and habits, as well as being placed in a situation where they must navigate new systems, environments, and establish new social connections. To address this issue, it is critical to examine variables that may contribute to loneliness as well as factors that buffer against it. The current study investigated the relationship between self-reported loneliness and the experiences and outcomes of community college students. Through regression analyses, we examined the relationship between loneliness and students’ sense of college belongingness, sense of purpose, educational and institutional engagement, and academic success. We further explored whether having a mentor is associated with a decreased risk of negative outcomes in these domains. Findings from this study, including a particular
benefit of students receiving mentorship, have the potential to shed light on factors that may mitigate loneliness and promote the well-being and success of community college students. This study also identified loneliness as a vector for negative student outcomes both academically and in their personal well-being. The combination of variables explored in the current study suggests important potential implications. Specifically, with mentorship being a tool already in use within university and college settings, shifting resources to empower effective mentors to spread their influence and maximize their student contact may be beneficial.
Factors affecting education quality Faculty of Business Administration at University of Economic Finance in HCMC
Authors: Khoa Bui Quoc , Vi Huynh Pham Tu , Nguyen Hoang-Tien , Anh Dinh Ba Hung , Ngoc Nguyen Minh , Khanh Nguyen Hoai , Toai Nguyen Van
Published: January 2025

The purpose of this article is to determine the factors affecting the education quality of lecturers at the Faculty of Business Administration at the University of Economics, Ho Chi Minh City. This study is based on the theoretical basis and research method to provide research results from which to conclude the factors affecting lecturers' education quality. Research methods include: Qualitative research methods find the basic content of documents, find issues related to the research topic and identify problems that need to be solved; Quantitative research methods used cognitive factors that affect education quality and considered the level of influence of each influencing factor related; In addition, the method of in-depth interviews with a team of education experts is applied to develop proposals to improve quality of teaching for teachers.
Advances in Deep Learning for Head and Neck Cancer: Datasets and Applied Methods
Authors: Majeed Tabasum , Assad Assif
Published: January 2025

Head and neck cancers (HNCs) include malignancies of the oral cavity, salivary glands, thyroid, oropharynx, and nasopharynx, with risk factors such as tobacco use, alcohol consumption, viral infections, and environmental exposures contributing to over half a million global cases annually. Despite treatment advances, poor prognosis underscores the need for accurate diagnosis and continuous monitoring. Medical imaging plays a critical role in HNC evaluation but is often limited by the complexity of anatomy and tumor biology. Recent advances in artificial intelligence (AI), particularly deep learning, offer opportunities to enhance diagnostic accuracy and optimize treatment strategies. This study reviews the application of deep learning in HNC imaging, evaluating different architectures and addressing challenges like limited annotated datasets, high computational demands, and ethical concerns. Overcoming these challenges will revolutionize HNC diagnostics, redefine precision oncology, and improve patient care. The future integration of explainable AI models and multimodal data will be crucial in advancing diagnostic precision, ensuring clinical applicability, and addressing ethical and resource challenges. As AI progresses, its effective integration into clinical workflows will not only enhance healthcare delivery but also reduce inequalities, accelerating significant advancements in HNC management and transforming patient outcomes.
METAVERSE: THE FUTURE OF PRODUCT DESIGN WITH NEW INNOVATIONS AND OPPORTUNITIES IN THE DIGITAL AGE
Authors:   Department of Product Design, Faculty of Fine and Applied Arts, Burapha University, Chon Buri 20131 Thailand, Khiaomang Kriangsak
Published: January 2025

The Metaverse is evolving into a highly immersive and interactive digital ecosystem, fundamentally transforming how products are designed. This article examines the role of the Metaverse in shaping future practices for product design, emphasizing its potential for co-creation, rapid prototyping, and user-centric customization in virtual environments. Through an analysis of emerging trends and case studies, the article explores how the Metaverse can redefine the product design process, expanding the possibilities of design and creating new opportunities for interaction and personalization. This discussion aims to provide designers with up-to-date insights into leveraging the Metaverse to drive innovation in product design, ultimately reshaping consumer experiences in the digital era.
A STUDY ON THE USE OF PINEAPPLE FIBER IN PRODUCT DESIGN BASED ON LOCAL WISDOM
Authors:   Division of Interior Design, Department of Architecture, Faculty of Architecture and Design King Mongkut’s University of Technology North Bangkok, Bangkok 10800 Thailand, Chitchakkol Nutdhapol , Bureekhampun Suthasini ,   Department of Architectural Education and Design, School of Industrial Education and Technology King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520 Thailand, Raksuan Kamolbhat ,   Division of Textile Design and Fashion, Faculty of Textile Industry, Rajamangala University of Technology Krungthep, Bangkok 10120 Thailand, Sramala Peeraya ,   Division of Textile Design and Fashion, Faculty of Textile Industry, Rajamangala University of Technology Krungthep, Bangkok 10120 Thailand
Published: January 2025

This research is a study of the use of pineapple fiber based on local wisdom and Integrate pineapple fiber into the realm of product design. The research sample consisted of three highly experienced participants, each possessing over five years of experience in utilizing pineapple fiber based on local wisdom. The study employed the purposive sampling method to meticulously select this particular group. Subsequently, the physical properties of pineapple fiber were assessed using a high-performance scanning electron microscope (F-SEM). Concurrently, the study involved three product design experts, each possessing more than five years of experience, who were likewise selected through purposive sampling. The research instruments consisted of open-ended semi-structured interviews, which were individually administered through the in-depth interview approach. Additionally, the assessment was enhanced by incorporating a high-performance scanning microscope (F-SEM) and a questionnaire tailored specifically for product design experts. The research findings revealed that pineapple fiber exhibits excellent water absorption properties, attributed to its abundant pores and notably rough surface. Elemental analysis demonstrated high carbon content (48.94 Wt%) and oxygen content (46.41 Wt%), making pineapple fiber well-suited for use in fashion lifestyle products, particularly in the realm of women's apparel, such as evening dresses. Furthermore, the assessment of expert opinions indicated a high level of suitability for ladies' clothing in the evening dress style 1 (x̄ = 3.86, SD = 0.73).