bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Brain MRI Image Segmentation Based on Improved Unet
Authors: Wu Wangxin , Zheng Jian
Published: December 2024

Accurate segmentation of brain tumors plays an important role in assisting doctors in clinical diagnosis and treatment. A brain tumor segmentation algorithm based on an improved U-Net network is proposed to address the shortcomings of traditional U-Net networks in brain tumor segmentation accuracy. Propose to combine the U-Net model with ResNeXt50, using ResNeXt50 as the encoder part of U-net, utilizing its powerful feature extraction capability, and then passing these features to the decoder part of U-net for segmentation. At the same time, adding channel attention mechanism makes the model pay more attention to important feature channels to improve segmentation performance. By introducing variable convolution, the model's adaptability to complex shapes in medical images can be increased, improving segmentation accuracy. This model was tested on the LGG Segmentation Dataset dataset, with Dice values as high as 94.66% and Iou values as high as 90.34%. Comparative experiments were conducted with other models, and the results showed that our model has better segmentation performance compared to other segmentation models, and can clearly and effectively segment skin lesion images.
Digital construction of the core course of railway vehicle discipline "Maintenance and Overhaul of Vehicle Electrical Equipment"
Authors: Xu Lili , Yu Yuting , Chen Chunmian
Published: December 2024

The digitalization of education has emerged as a transformative approach in contemporary teaching, characterized by its convenience, flexibility, and the abundance of available teaching resources. This approach, particularly relevant for students in higher vocational colleges, offers a dynamic and versatile learning experience that aligns with their unique educational needs. The integration of online teaching resources, which allows for flexible class scheduling, has not only broadened access to education but also enhanced the adaptability of learning processes to fit diverse student lifestyles and needs. This paper takes the core course of the railway vehicle major as a case study to explore the application of classical statistical methods in the analysis of course data. It examines the progress and achievements in the digital construction of this course, including the development of digital textbooks, the creation of high-quality online courses, and the digital transformation of experimental teaching practices. By analyzing these elements, the paper provides an in-depth look into how digital tools and resources can be effectively utilized to enhance course delivery and learning outcomes. The findings highlight the success of these digital initiatives and suggest practical insights and strategies for the digital transformation of other courses within the railway vehicle major. The paper aims to serve as a guide for educators and administrators looking to expand the digital footprint of their curricula, offering evidence-based recommendations for leveraging digital technologies to improve educational accessibility, engagement, and effectiveness.
Failure Behavior and Safety Risk Assessment Method of Hydrogen-Electric Coupling System under Complex Operating Conditions
Authors: Jiang Peng , Wang Xuexiao , Chen Mengdong , Wu Qiliang , Zhang Xuesong
Published: December 2024

The synergistic application of hydrogen and electricity is crucial for green hydrogen utilization based on renewable energy. In-depth analysis of failure protection and safety risk management of hydrogen-electric coupling systems under complex conditions is essential for large-scale hydrogen utilization and the coordinated development of hydrogen and renewable energy electricity. This paper reviews the application scenarios of hydrogen-electric coupling systems and analyzes the long-term operation degradation and failure mechanisms of key components and systems in the hydrogen production-use-storage-transport process from the perspectives of materials, technical characteristics, and operating conditions. On the basis of actual cases, the paper proposes safety accident risk assessment methods and control measures for the operational characteristics of hydrogen-electric coupling systems. The conclusions of this paper can propmt the large-scale application of hydrogen-electric coupling systems in the fields of renewable electricity, energy storage, and green hydrogen economy, providing technical direction for improving system long-term operational stability under complex conditions and offering reference for system safety and risk prediction management.
Research on Runoff Forecasting Method for Data-Scarce Areas Based on Hydrological Similarity
Authors: Hu Youbing , Chen Hongyu , Cheng Xugan , Wang Kai , Su Cui
Published: December 2024

Currently, with the advancement of flood forecasting and warning work for small and medium-sized rivers in China, the research on runoff forecasting methods for data-scarce areas has become an urgent technical bottleneck that needs to be addressed. Based on the traditional unit hydrograph method and the theory of hydrological similarity, a spatial transplantation method for unit hydrographs using watershed runoff velocity as the hydrological similarity element is proposed through dimensional analysis. The method was validated using the Huangchuan and Jiangji watersheds. In the application within the Tuanjie River sluice area in Jiangsu, the nearby Fengshan station was selected as the reference station. A comparison between the spatial transplantation results of the reference station's unit hydrograph and the instantaneous unit hydrograph used in Jiangsu's rainstorm flood atlas showed a good agreement between the two results. The unit hydrograph spatial transplantation method proposed in this paper is scientific, and the results are reasonable and credible, making it applicable for hydrological forecasting in data-scarce areas.
Construction of a Knowledge Graph for the Principles of Communication Course Based on System Thinking
Authors: Wei Changzhi , Jiang Xiaoqing , Zhao Yue
Published: December 2024

From the perspective of a complete communication system, this paper presents the construction of a knowledge graph for the Principles of Communication course through a semi-automatic method combining automated techniques with human verification. The ontology is designed with a hierarchical structure of "complete system - various transmission system types - knowledge points." Entity recognition is performed using a Bi-LSTM+CRF model combined with manual verification, followed by relation extraction using a Relational Graph Convolutional Network (R-GCN). After attribute extraction and knowledge fusion, visualization is achieved using Neo4j. The resulting knowledge graph integrates the structure of the communication system, enabling students to intuitively understand the relationships between knowledge points, plan learning paths, and enhance learning efficiency.
Experimental study on compression and rebound deformation characteristics of residual sandy cohesive soil in Xiamen
Authors: Wang Kai , Xiao Zhaoyun , Zhu Haojie , Huang Shanjing , Zheng Wenli , Li Jin
Published: December 2024

Through indoor high-pressure consolidation compression and unloading rebound experiments, the deformation characteristics of underlying residual sandy cohesive soil in Xiamen coastal reclamation area under loading and unloading are studied. The test results show that the residual sandy cohesive soil is medium and low compressibility soil. The compression curve of the soil sample gradually slows down and finally stabilizes with the increase of the applied load. In the process of unloading and rebounding, more obvious rebound deformation will occur only when the unloading amount reaches a certain level.The change law of the consolidation coefficient is related to the relative magnitude change between the preconsolidation stress and the current consolidation stress. Generally, it shows a change trend of first decreasing, then increasing, and finally stabilizing. In the unloading rebound stage of the soil sample, there are critical unloading ratio Rcr = 0.25 and limit unloading ratio Ru = 0.75. When 0 < R ≤ 0.25, the soil hardly rebounds. When 0.25 < R < 0.75, the soil has general rebound. When R ≥ 0.75, the soil has strong rebound，and at this stage, the rebound deformation amount accounts for the largest proportion of the total rebound deformation amount. The rebound modulus decreases linearly as the unloading ratio increases. When R exceeds 0.75, the decreasing rate significantly increases. In engineering, R = 0.75 can be regarded as the lower boundary of the strong rebound zone to estimate the depth of the strong rebound zone.
A study on the hill climbing performance of trucks based on Trucksim for heavy-duty trucks
Authors: He Jin , Zhang Yiyong , Wang Baofeng , Li Shaopeng , Wang Xiaoliang , Hu Zhijie
Published: December 2024

Based on Trucksim simulation software, this paper investigates the hill climbing performance of heavy-duty trucks, focusing on analyzing the factors affecting the equilibrium speed of trucks at different gradients and slope lengths. With the rapid development of China's road freight industry, the number of trucks and freight volume have increased dramatically, resulting in the power performance of heavy-duty trucks when climbing slopes is particularly prominent. Insufficient climbing power not only affects the road capacity, but also may cause traffic accidents. Therefore, this paper investigates the change rule of truck speed under different initial speeds and gradients by establishing a simulation environment, and then explores the influencing factors of equilibrium speed.The study firstly used Trucksim software to simulate the climbing process of a six-axle truck, set different initial speeds and gradients, and analyzed the speed change of the vehicle under different gradients. The results of the study show that the truck eventually reaches an equilibrium speed regardless of the initial speed, and the magnitude of the equilibrium speed is inversely proportional to the gradient. In addition, the greater the slope, the smaller the equilibrium speed of the vehicle and the shorter the equilibrium slope length. The accuracy and reliability of the data is ensured by smoothing the simulation data using the Savitzky-Golay (S-G) filtering method.The conclusion section states that the results of this paper provide a theoretical basis for the design of highway longitudinal slopes and can be used to supplement existing road design codes. In addition, it is shown that the equilibrium speed and slope length are fixed when the truck's power performance is certain, while further research can explore the effects of other power configurations on the equilibrium speed and slope length.
Research on the minimum radius of circular curves under low-speed driving conditions based on reliability analysis
Authors: He Jin , Zhang Yiyong , Zhang Jiazheng , Fan Bin , Xu Xiaoyu , Liu Xudong
Published: December 2024

This paper systematically explores the relationship between key design parameters and traffic safety in the context of low-speed road circular curve design by introducing reliability theory. A reliability function for the circular curve was constructed based on probability theory, and the reliability of circular curve radii at different design speeds was quantitatively analyzed using the First-Order Second-Moment Method (FOSM) and Monte Carlo Simulation. The results indicate that as the curve radius increases, the reliability improves significantly, and the failure probability decreases. This study provides new insights into safety assessment in road design and offers reliable references for optimizing road alignment design.
Optimizing Passenger Flow in Public Transportation: A Comparative Study of Smart Ticket Gate Designs
Authors: Zhang Yuxuan , Luo Yanqi
Published: December 2024

This paper presents a comprehensive comparative analysis of smart ticket gates that operate on different principles and modes, aiming to evaluate the critical factors that optimize passenger flow within public transportation systems. Drawing on empirical data collected from multiple stations, combined with simulations using an Agent-based model, the study thoroughly examines the effects of various gate designs on passenger behavior. Key performance indicators, including transaction time, queue length, user error rate, and failure rate, are systematically analyzed to assess the efficiency of each gate design. The findings demonstrate that ticket gates incorporating features such as tilted card areas, forward-facing guidance lights, and multimodal feedback systems—comprising visual and auditory cues—achieve significantly higher traffic throughput and passenger satisfaction. These design elements help streamline the passenger flow, especially during peak hours. Considering these results, the paper proposes targeted recommendations for future enhancements to gate design, offering valuable insights for the strategic planning and optimization of public transport infrastructure, specifically in station entry and exit points.
Isolation and identification of postharvest pathogenic bacteria of winter jujube and antibacterial test of 34 essential oils
Authors: Jiang Haoyue , Lu Qiyu , Xie Yongdong , Xu Mingting , Guo Min , Liu Ji
Published: December 2024

The 'Dali' winter jujube was used as the test object. The postharvest pathogens were isolated, purified and identified . The pathogenicity was determined by Koch's postulates. The antibacterial activity of 34 types of plant essential oils against pathogens with strong pathogenicity was determined. The findings indicated that a fungus with strong pathogenicity was isolated and identified from diseased winter jujube, which was marked as DZ1. The phylogenetic tree showed that the DZ1 strain had a high relationship with Fusarium oxysporum . Among the 34 essential oils, basil, mustard, litsea cubeba and cinnamon essential oils (1000μl/L) had the most significant antibacterial effect on the DZ1 strain, with an inhibition rate of 100%. Clove and garlic essential oils (1000μl/L) had a good antibacterial effect on the DZ1 strain, with an inhibition rate of more than75%. 500μl/L mustard essential oil had the best inhibitory effect on the DZ1 strain, and the the antibacterial rate was still more than 95 % after 12 days of treatment. In summary, it was determined that the pathogen causing post-harvest diseases of winter jujube was Fusarium oxysporum , which had a strong pathogenicity. 500μl/L mustard essential oil had the best inhibitory effect on Fusarium oxysporum .
The Application of GIS and Tilt Photography in BIM Forward Design: A Case Study of Road and Bridge Engineering
Authors: Lei Wei , Lv Dong , Cui Zhiyong , Zhang Zhiguo
Published: December 2024

The advancement of positive design in Building Information Modeling (BIM) is limited by several aspects of BIM technology, including the breadth of data, visualization capabilities, dynamic data interaction, and application timelines. This paper seeks to advance the application of positive design in BIM by developing a software suite tailored for road and bridge engineering. The software integrates positive design methodologies and facilitates the generation of design outputs, in accordance with established road and bridge design processes. The integration of BIM and Geographic Information Systems (GIS), in conjunction with oblique photography technology, facilitates the development of digital terrain models, which subsequently support positive design processes. These processes encompass the parametric design of template libraries and component libraries, horizontal and vertical alignment design, the design of bridges, tunnels, and culverts, intersection design, and the design of ancillary facilities along the route. The outputs of the design process include the application of three-dimensional models, estimation of quantities, and the generation of two-dimensional drawings. This paper introduces key technical solutions and the principles of program implementation related to parametric design, planar and vertical-horizontal design, as well as the integration of two-dimensional and three-dimensional designs. Furthermore, it explores the utilization of data interaction functions to effectively integrate models with finite element software, enhancing the overall design and analysis process. The conclusion identifies that the primary cause of cracking in the pavement layer is transverse tensile stress. The most critical load position occurs directly above the trapezoidal stiffener at the mid-span section, where the maximum transverse tensile stress reaches 1.45 MPa. This study aims to advance the forward design of BIM by expanding its application in both breadth and depth. It seeks to provide demonstrative experiences that will facilitate the promotion and further development of forward design practices in BIM.
Comparison of wind tunnel test values and standard specified values for wind loads on mountainous photovoltaic arrays
Authors: Du Yiyi , Zhang Wei , Wu Yuan , Xu Yazhou
Published: December 2024

To correctly assess the wind loads on photovoltaic (PV) arrays arranged in mountainous areas, a rigid model manometric wind tunnel test is used to study the wind pressure distribution law on the surface of mountainous PV arrays, and the effects of mountain slope and module inclination angle on the wind loads on PV modules. The study shows that in small slope mountains, the front modules is subject to the largest wind load, which is wind pressure, and the larger the modules inclination angle the higher the wind pressure; In a large slope mountain (≥45°), the wind load on the rear modules is the largest, in this case, the wind load is wind suction, the smaller the inclination angle of the modules the greater the wind suction; Based on the results of wind tunnel tests, compared with the design of PV wind load in the existing PV power plant design specifications, it is found that PV arrays arranged in mountainous areas with large slopes can appropriately reduce the wind load design of the front row of modules, and emphasize the wind-resistant design of the rear row of modules.
Digital Protection of Historic Buildings Based on BIM and Point Cloud Technology -- Rapid Model Construction and Application of a British Garden Residence in Shanghai
Authors: Li Xintian , Zheng Shenglan
Published: December 2024

This study explores the innovative application of BIM technology in accelerating the protection of historic buildings, especially the efficient construction of BIM models. In view of the fact that the traditional surveying and mapping method is not enough to use, the study uses BIM combined with 3D scanning and photogrammetry technology to propose a set of rapid modeling processes that adapt to the characteristics of historical buildings. Empirical evidence shows that this method significantly improves the efficiency of model building, while ensuring data quality and integrity. Finally, the research results provide new ideas for the digital protection of historical buildings, present feasible implementation plans to professionals, help the modernization of cultural heritage protection, and promote its long-term inheritance and development.
Piezoelectric Vibration Energy Harvesting Circuits: A Comprehensive Review
Authors: Zhou Zixin
Published: December 2024

With technology advancing day by day, global demand power is increasing very fast. This can be seen from the fact that there is a continually growing demand for energy, which helps reveal the importance of coming up with better means of energy. However, using energy can create environmental issues such as loss of biological diversity and soil contamination. Energy harvesting has emerged as a good way of addressing these problems. It gets done with the help of trapping and recycling energy that might otherwise go to waste in various activities. In this paper, piezoelectric energy harvesting will be emphasized. This is a method that converts mechanical energy to electrical energy. The paper examines enhancements existing in this technology area and discusses what can be expected in the future. By showing both practical uses and theoretical ideas, the paper aims to help reduce wasted energy and encourage more sustainable energy practices.
A Stock Price Prediction Method Based on Liquid Neural Network
Authors: Liu Haojia
Published: December 2024

With the development of the socio-economic landscape, the stock market has become an integral part of the financial system. Real-time stock price prediction helps stakeholders grasp the trends of economic growth and make informed decisions. In this paper, Liquid Neural Networks (LNNs) are applied to stock price prediction, where the dynamic adjustment of weights between neurons provides a better representation of stock market trends. Experimental results show that the LNN-based prediction method delivers results closer to actual stock prices and performs better than traditional algorithms such as decision trees and KNN.
Cortical Structure-specific Biomarkers of Adolescent Externalizing Mental Disorders
Authors: Huang Jingqi
Published: December 2024

During adolescence, the morphology of the cerebral cortex undergoes significant developmental changes. One of the most fundamental changes during neurodevelopmental is the accelerated thinning of the cortex observed in early adolescence, which differs from the pattern seen in early childhood and adulthood. This process might be driven by many factors, such as cortical myelination and synaptic pruning. Moreover, reduced cortical thickness (CT) during adolescence is associated with impaired psychopathology and cognitive abilities, suggesting that CT could serve as an important biomarker for assessing mental health. Both CT and cortical surface area (SA) in adolescents are associated with various forms of psychopathology, suggesting that neuroimage markers might provide valuable insights into the progression of mental disorders for adolescent. However, these studies often have different age groups and use limited sample sizes, leading to considerable debate about the association of CT and SA changes with adolescents mental disorders. With data from the Adolescent Brain Cognitive Development (ABCD) study, this study combined case-control analysis and a psychopathological stratified classification (HITOP) framework to examine structural changes in CT and SA. Our results suggested that specific cortical structures might change occur throughout the brain in the family diagnosis of externalization disorder. Moreover, different genetic mechanisms could regulate the neurodevelopmental patterns of cortical structures. This study could help clinicians screen for the disease at an earlier stage to facilitate accurate diagnosis and prevention of mental health problems and has important implications for the fields of cognitive psychology and clinical psychiatry.
Application of UAV-based 3D modeling and visualization technology in urban planning
Authors: Sang Huizhe
Published: December 2024

With the acceleration of urbanization, urban planning is increasingly demanding for data accuracy and visualization capability. UAV-based 3D modeling and visualization technology provides an efficient and accurate solution for urban planning. UAVs collect geographic and architectural information by carrying a variety of sensors to generate high-resolution images and point cloud data, which are further used to construct accurate 3D city models and enhance the realism of the models through texture mapping and optimization. Based on these models, 3D visualization technology provides urban planners with an intuitive means of spatial analysis and dynamic monitoring, and enhances the efficiency of planning and design, environmental monitoring, and construction management. This paper explores examples of the application of UAV technology in urban planning, demonstrating its great potential for improving planning accuracy, management efficiency, and decision support.
Targeting the Warburg Effect: Strategies for Cancer Detection and Therapeutic Interventions
Authors: Li Haocheng
Published: December 2024

In 1920, Otto Warburg found that the process, of glycolysis, was active in liver cancer cells even under enough oxygen levels, namely cancers derived energy mainly from glycolysis. He considered it as aerobic glycolysis, due to the mitochondria dysfunction in cancers. However, in this review article, I will briefly list the hallmarks of cancers and depict some alterations in Warburg Effect from modern studies. Also, several benefits to cancers by the Warburg Effect will be added, with the latest noninvasive detection techniques and relative therapeutic targets.
GPS elevation conversion method and accuracy analysis based on artificial neural network
Authors: Song Yongjuan
Published: December 2024

After the GPS observation data is processed, the baseline vector and high-precision geodetic height difference between two points can be obtained. If the geodetic height of a point is known, the geodetic height of each point in the whole network can be obtained. The geodetic height is a height system based on the ellipsoid, while the Normal height system based on the quasi Geoid is used in our projects. This paper expounds the basic theories related to the refinement of regional quasi Geoid, introduces the basic principles and applicable conditions of various refinement methods, and introduces the accuracy evaluation methods of the refinement results. Combining with engineering example A, different fitting methods were used for height anomaly fitting using GPS leveling. Based on the fitting results, the advantages and disadvantages of each method were analyzed. ANN has the characteristics of nonlinear mapping ability and model free estimation, and is an effective tool to deal with nonlinear mapping problems. The use of neural network technology to convert GPS elevation is an adaptive mapping method without any assumptions, which is theoretically reasonable. By training the training samples for a limited number of times, the function mapping relationship can be better obtained from the training samples, avoiding the influence of unknown factors, reducing model errors, and thus improving the accuracy of GPS elevation conversion. The experimental results indicate that for the problem of elevation anomaly conversion, the number of hidden layer neurons is generally selected between 15 and 25. For the refinement of large area quasi geoid, the function fitting method is not recommended, because a specific function cannot express the characteristics of large area quasi geoid; In the refinement of large area quasi Geoid, the fitting effect of the ANN fitting method is significantly improved compared with the function fitting method, which reflects the strong ability of ANN to deal with nonlinear problems. Compared with the function fitting method, the ANN method reduces the model error in fitting, and has broad engineering application prospects.
Dynamics of Lampreys Populations: Unraveling Ecological Mysteries and Gender Ratio Adjustments
Authors: Li Sinuo , Hu Kaiqi , Hou Wenshu
Published: December 2024

The lampreys, ancient aquatic creatures with elongated bodies and distinctive funnel-shaped heads, are vital scavengers in ecosystems, feeding on parasites and pathogens to maintain ecological balance. A study investigated their population dynamics using the Ricker model, revealing rapid initial growth followed by stabilization, influenced by environmental carrying capacity and resource consumption speed. Gender ratios adjusted based on resource availability, promoting survival and reproduction. A cellular automaton model simulated lamprey populations in the Mediterranean and Lake Michigan, showing seasonal growth and stability with minor adaptations. Linearization and Routh-Hurwitz conditions assessed ecological system stability, indicating equilibrium points corresponding to stable population states, influenced by environmental carrying capacity. The study also quantified the relationship between parasites and lampreys, finding that in resource-scarce environments, a higher female ratio favored parasite growth, while a balanced ratio was optimal in resource-abundant settings.
Estrategias de gamificación y su impacto en el aprendizaje de la asignatura de inglés en los estudiantes de segundo bachillerato
Authors: Mendoza -Loor Erika Monserrate , Núñez-Bayas Nancy Johana , Cacoango-Yucta Washington Iván , Rumbaut-Rangel Dayron
Published: December 2024

Este estudio investiga el impacto de la gamificación en el aprendizaje del inglés en estudiantes de segundo de bachillerato de la Unidad Educativa Vicente Anda Aguirre en Guayaquil, Ecuador. Se utilizó un enfoque cuantitativo con un diseño experimental, integrando un grupo control y un grupo experimental de 30 participantes cada uno. Se utilizaron las herramientas Kahoot y Quizlet para fortalecer los procesos de enseñanza-aprendizaje. Además, se aplicó una encuesta en escala de Likert la cual fue validada por juicio de expertos y revisada la consistencia interna de las preguntas a través de alfa de Cronbach. Las puntuaciones medias en lectura y escritura aumentaron en un 22% en el grupo experimental, lo que confirma la efectividad de las estrategias en la promoción de mejores resultados académicos. El análisis estadístico mediante la prueba t de Student validó que las diferencias observadas fueron significativas. Este estudio confirma que la gamificación es una herramienta eficaz para mejorar tanto la motivación como el rendimiento académico de los estudiantes que aprenden inglés como lengua extranjera. Estos hallazgos proporcionan valiosas perspectivas sobre las metodologías de enseñanza modernas, ofreciendo un marco práctico para los educadores que buscan integrar la tecnología y nuevas estrategias en el proceso de enseñanza.
CHOOSING THE RIGHT FOOTWEAR TO PREVENT DIABETIC FOOT ULCERS
Authors: Seyyah Mine , Yumbul Kardaş Ayşe Sena
Published: December 2024

Diabetes Mellitus (DM) is a chronic metabolic disease characterized by hyperglycemia due to impairment in insulin secretion, insulin action, or both. Diabetic foot ulcers are a costly complication of diabetes, reducing people's quality of life and increasing morbidity and mortality. The incidence of foot ulcers in diabetic patients in Turkey is estimated to be 2%, with a prevalence of 5-7%. Throughout their lifetime, diabetic individuals can reach foot ulcer incidence rates of up to 34%. The mortality rate in those with ulcers is approximately twice that of diabetic patients without ulcers. Moreover, 85% of diabetes-related lower extremity amputations are preceded by foot ulcers. Diabetic foot ulcers usually result from repetitive stresses on the foot (cutting and pressure) in the presence of complications associated with diabetes, such as peripheral neuropathy or peripheral arterial disease, and their healing is often complicated by the development of infection. Therefore, wearing appropriate shoes designed to reduce repetitive stresses is recommended to help prevent diabetic foot ulcers in diabetic individuals. A method should develop to provide guidance to multidisciplinary healthcare professionals involved in supplying shoes to diabetic individuals.
Responsabilidad Social Corporativa y Lealtad a la Marca: Un análisis empírico
Authors: Sarango Gómez Evelyn Nayeli , Vásquez Cedeño Fabián Andrés , Bonisoli Lorenzo
Published: December 2024

Esta investigación analiza cómo la Responsabilidad Social Corporativa (RSC) influye en el compromiso, la satisfacción y la lealtad del cliente hacia la marca, desde la perspectiva del cliente. Se destaca que la RSC no solo mejora la imagen corporativa, sino que también fortalece el vínculo emocional con los consumidores, generando un mayor compromiso. Este creciente interés en empresas responsables es impulsado por cambios en las expectativas sociales y una mayor conciencia ambiental. Se emplea la técnica de modelo de ecuaciones estructurales Partial Least Squares (PLS-SEM) para llevar a cabo este estudio, una metodología estadística avanzada que analiza relaciones complejas entre variables latentes. Su enfoque cuantitativo proporciona una comprensión detallada de la relación entre RSC y lealtad a la marca, facilitando un análisis riguroso de los datos.
Gestión del riesgo de liquidez en las cooperativas de ahorro y crédito
Authors: Toala Perez Anaíz Antonella , Moreira Vera Quinche Lisseth , Demera Rivadeneira Patrícia Isabel
Published: December 2024

Las instituciones financieras se caracterizan por administrar grandes cantidades de dinero de sus clientes, por ello, es indispensable que realicen un análisis continuo de su liquidez y otros indicadores que ayudan a determinar situaciones que dan origen a riesgos financieros. El presente estudio tuvo como objetivo analizar los factores que inciden en la gestión del riesgo de liquidez en las cooperativas de ahorro y crédito (COAC) de Latinoamérica, con mayor énfasis en las ecuatorianas. La metodología aplicada se basó en una investigación no experimental, con un enfoque cualitativo y alcance descriptivo, desarrollada mediante una revisión sistemática de estudios publicados en el periodo 2018-2023 sobre COAC, a través de Google Académico, Dialnet y Redalyc. Se obtuvo como resultado un total de 10 artículos que cumplieron con los criterios de inclusión entre los cuales se destaca que los factores externos como la pandemia tienen mayor impacto sobre la liquidez de las cooperativas.
TEKNIK MUDAH MENYUSUN LAPORAN KEUANGAN SEDERHANA BAGI USAHA KECIL DAN MIKRO DI PCA PASAR RUMPUT
Authors: Hidayat Darwis  , Supriatiningsih Supriatiningsih , Imam Santoso  , Rasenda  , Rizky Risdianto
Published: December 2024

Pengabdian kepada masyarakt tentang program "Teknik Mudah Menyusun Laporan Keuangan Sederhana bagi Usaha Kecil dan Mikro di PCA Pasar Rumput" bertujuan untuk meningkatkan kemampuan pelaku usaha kecil dan mikro dalam menyusun laporan keuangan yang akurat dan efisien. Dalam konteks perekonomian yang semakin kompetitif, pemahaman yang baik tentang laporan keuangan menjadi kunci bagi keberlanjutan dan pertumbuhan usaha. Program ini meliputi pelatihan praktis yang dirancang untuk memberikan pemahaman dasar mengenai elemen-elemen laporan keuangan, teknik pencatatan, serta penggunaan perangkat lunak sederhana untuk mempermudah proses. Dengan pendekatan yang mudah dipahami dan aplikatif, diharapkan para peserta dapat mengimplementasikan teknik yang diajarkan untuk menghasilkan laporan keuangan yang jelas dan bermanfaat dalam pengambilan keputusan. Pengabdian kepada masyarakat ini telah dilakukan oleh tim dosen Universitas Teknologi Muhammadiyah Jakarta. Hasil dari program ini diharapkan dapat memberdayakan pelaku usaha dan meningkatkan transparansi serta akuntabilitas keuangan mereka, sehingga mendukung perkembangan usaha di tingkat lokal.
Edukasi Gizi Seimbang Sebagai Upaya Pencegahan Stunting Di Desa Rawapanjang Kecamatan Bojonggede Kabupaten Bogor
Authors: Nina Herlina  , Erik Ekowati  , Erik Ekowati  , Rini Damayanti  , Sri Hayuningsih  , Tania Anggadita  , Qonita Salima
Published: December 2024

Stunting merupakan kegagalan tumbuh kembang pada bayi yang ditandai dengan bayi menjadi lebih pendek dari usianya karena kekurangan gizi kronis dan dapat menyebabkan gangguan perkembangan otak serta meningkatkan risiko terkena penyakit degeneratif di usia dewasa. Kondisi ini lebih berisiko jika masalah gizi sudah mulai terjadi sejak di dalam kandungan dan tidak diimbangi dengan pemantauan pertumbuhan dan perkembangan anak. Oleh karena itu diperlukan pencegahan stunting sejak dini. Tujuan pengabdian masyarakat adalah menambah dan meningkatkan pengetahuan ibu mengenai stunting, pola asuh dan MPASI.
Metode yang digunakan dalam pengabdian masyarakat ini adalah dengan memberikan edukasi mengenai kasus stunting. Pelaksanaan di Desa Rawapanjang, Kecamatan Bojonggede, Bogor pada tanggal 28 Oktober 2024. Sasaran adalah ibu dari balita yang megalamai stunting terdapat 34 balita. Teknik pelaksanaan kegiatan yaitu survey permasalahan mitra, penyiapan bahan, proses pengerjaan dan hasil pelaksanaan kegiatan. Media penyuluhan menggunakan media  Power Point (PPT), pemberian brosur dan booklet serta pemberian makanan tambahan. Sosialisasi pemberian intervensi yang dilakukan adalah penyuluhan mengenai pencegahan stunting, perbaikan pola asuh serta pengetahuan mengenai MPASI dengan memperkenalkan macam-macam MPASI sesuai jenis usia anak. Hasil dari kegiatan intervensi ini dapat dilihat dari peningkatan pengetahuan orang tua tentang stunting dan pemberian MPASI yang benar melalui Pre test dan Post test.
Pengabdian masyarakat ini dengan menggunakan leaflet dan booklet dapat membantu bidan dan kader sebagai bahan penyuluhan dan edukasi  kepada masyarakat.
The Effect of Duolingo Application in Improving Students' English Skills: A Research of Grade X Students at SMKN 3 Baubau
Authors: Fitriani Fitriani , Mokodompit Gia Puspita
Published: December 2024

This study investigated the impact of Duolingo application on English language proficiency among Grade XI students at SMKN 3 Baubau, Southeast Sulawesi. The integration of technology in English language learning presents new opportunities for Indonesian vocational schools, yet research on mobile learning application effectiveness in this specific context remains limited. This qualitative research at SMKN 3 Baubau, Southeast Sulawesi, used Duolingo as a learning medium, showing positive impacts on students' English skills (speaking, writing, reading, listening). Data from observations, tests, and interviews revealed that Duolingo increased motivation, vocabulary, grammar comprehension, text understanding, and pronunciation. Its interactive, gamified features reduced monotony and boosted enthusiasm, aligning with research highlighting the benefits of technology and gamification in language learning. Duolingo proves effective for enjoyable and efficient English learning.
İnsan Kaynakları Yönetimi Öğrencilerinin Dijital Yetkinlikleri: Süleyman Demirel Üniversitesi Örneği
Authors: Vural Yılmaz Devrim
Published: December 2024

Özet
Günümüzde yeni teknolojilerin ve dijital sektörlerin ortaya çıkışı dördüncü endüstri devrimine yol açarken tüm iş süreçleri de değişmektedir. Bu gelişmeler çalışanların yeni görev ve sorumluluklara uyum sağlayabilecek şekilde yönetilmesini gerektirmekte, bu da insan kaynakları yönetimine (İKY) önemli bir rol yüklemektedir. Teknolojik gelişmelerin iş dünyasındaki etkisi sadece çalışanların beceri ve yetkinliklerinin yenilenmesini değil, aynı zamanda İK profesyonellerinin de bu gelişmelere gerekli bilgi ve becerilerle hızlı bir şekilde yanıt vermesini gerektirmektedir. Bu nedenle, İKY eğitiminin geleceğin İK profesyonellerine stratejik değerlerini arttıracak bilgi ve yetkinlikleri nasıl sağlayabileceğine ilişkin araştırmalar çok önemli hale gelmektedir. Bu bağlamda dünyada olduğu gibi Türkiye’de de üniversitelerde İKY eğitimi veren bölümlerde müfredat geliştirme çalışmaları yapılmaktadır. Bu çalışmada Süleyman Demirel Üniversitesi İnsan Kaynakları Yönetimi Bölümünde dijitalleşme ekseninde yürütülen müfredat yenileme çalışmaları kapsamında öğrencilerin dijital yeterliliklerini belirlemek amacıyla yapılan bir ölçek uygulaması paylaşılmaktadır. Araştırmanın örneklemini Süleyman Demirel Üniversitesi İnsan Kaynakları Yönetimi Bölümünde öğrenim gören 142 üniversite öğrencisi oluşturmaktadır. Araştırmada López-Meneses (2013) tarafından geliştirilerek Afacan-Adanır ve Gülbahar (2022) tarafından Türkçeye uyarlanan Üniversite Öğrencileri Dijital Yeterlikler Ölçeği kullanılmıştır. Çalışmada öncelikle katılımcıların demografik özelliklerine ve dijitalleşme deneyimlerine yönelik tanımlayıcı istatistiksel analizler yürütülmüştür. Ardından Pearson korelasyon analizi ile araştırma değişkenleri arasındaki ilişkiler tespit edilmiştir. Son olarak bağımsız örneklem T-testi ve tek yönlü ANOVA analizleri yürütülerek gruplar arasındaki olası farklılıklarının tespit edilmesi amaçlanmıştır. Araştırma bulguları katılımcıların demografik özelliklerinin dijital yetkinlikler açısından önemli bir etkisinin bulunmadığını, öte yandan not ortalamalarının ve üniversitede dijital teknolojilerle ilgili deneyimlerinin anlamlı bir farklılık yarattığını göstermektedir. Bulgular üniversite eğitiminin öğrencilerin dijital yetkinlikleri açısından önemini teyit etmektedir.
A EDUCAÇÃO DO CAMPO NA AMAZÔNIA AMAZONENSE E A COMPREENSÃO DE TRABALHADORES E TRABALHADORAS RURAIS
Authors: Campos Raimundo Sidnei dos Santos
Published: December 2024

The article presents the results of a research on rural education in the Amazon and highlights the understanding of rural workers from union organizations operating in Amazonian cities, forest spaces and riverside communities. This is an excerpt from the master's research in education. The objective is to analyze rural education, its problems, experiences and specificities in Amazonian municipalities from the perspective of the Federation of Agricultural Workers and the Unions of Rural Workers. The research methodology included bibliographic and documentary surveys and fieldwork. Rural education was investigated based on the educational and sociocultural experiences of men and women who experience the local reality, its problems and its specificities. Education is problematized from the Amazonian reality in the spaces of the countryside, forests and waters. The research showed that public policies for rural education must be able to contemplate the knowledge, cultures and education of the Amazonian peoples as a way of valuing cultural diversity and identity processes. The study shows the process of understanding union organizations and their participation in the construction of public policies aimed at the local reality. It was found that the idea of field in the Amazonian Amazon is expanded in the dynamics of the various forms of organization of Amazonian life, which implies the recognition of different subjects and the appreciation of their knowledge and cultures. Rural education policies present significant elements and practices in this direction.
POLÍTICAS PÚBLICAS DE DISTRIBUIÇÃO DE RENDA E O SURGIMENTO DE UMA NOVA CLASSE MÉDIA BRASILEIRA?
Authors: de Jesus Géssica Costa , Matos Elmer Nascimento , Jorge Marco Antônio
Published: December 2024

Brazil is a country characterized by great income inequality and to this day remains on the list of countries with the highest inequality. This diagnosis was verified from the 1960s when statistical data were made available and confirmed in 1970 with data from the Demographic Census. However, throughout the first decade of the twenty-first century, the country showed an improvement in the distribution of functional and personal income. Based on the available data, the objective of this work is to present the public policies of income distribution in Brazil and their influence on the emergence of the new Brazilian middle class, and to inquire whether it can really be considered so, based on theoretical and practical criteria, even in the face of the improvement in income distribution that has occurred.
ESTRATÉGIAS NA ALFABETIZAÇÃO: UMA PROPOSTA DURANTE A PANDEMIA DA COVID-19, NA ESCOLA MUNICIPAL PROFESSORA JOANA VIEIRA, LOCALIZADA NA ZONA RURAL DO MUNICÍPIO DE MANAUS-AM/BRASIL, NO PERÍODO DE 2020-2021
Authors: De Souza Ariana Silva
Published: December 2024

Literacy strategies during the pandemic was the theme chosen for this investigation, which had as a research problem to identify articles that deal with the theme. The objective of this research was: To analyze the pedagogical interventions to teach literacy to students at the Professora Joana Vieira Municipal School, located in the rural area of the municipality of Manaus-AM/Brazil, in the period 2020-2021, during the Covid-19 pandemic. This is a quantitative and qualitative research, with documentary analysis. The procedure was designed as a literature review study, with surveys of scientific articles, based on research by authors such as: (SCHWENDLER, 2005), (MUNARIM, 2011), (MOSTEFAL and FAGUNDES, 2013), (BRASIL, 2010) and (NASCIMENTO, 2009). A tracking methodology was used in the literature that supports this theme, followed by tabulations, considering the objectives, procedures and analyses indicate that, in the focus period of this research, more field and documentary research were carried out, in order to present the singularities of the different ways of managing plausible teaching in pandemic times in schools,  The experiences and discourse analyses point to the hybrid system, which was most emphasized. In general, research shows that the school still has a long way to go because remote classes have not shown satisfactory results in teaching and learning.
MARATIMBA SUSTAINABILITY IN COMPARATIVE ANALYSIS WITH THE 10 EXAMPLE CITIES ON A GLOBAL SCALE
Authors: da Silva Claudiene Faria , Rodrigues Cleidiane Machado Marvila , Machado Debora Cristina Klen Soares Ferreira , Romualdo Thais Batista
Published: December 2024

This article aims at a comparative analysis between the characteristics of the city of Marataízes, which is located on the coast of Espírito Santo, with the 10 cities considered the most sustainable and intelligent in the world. They are: Tokyo, London, New York, Paris, Geneva, Osaka, Seoul, Frankfurt, Oslo, Sydney. Curitiba is the featured city in Brazil when it comes to sustainability, based on a bibliographic inspection it was possible to verify the advances and challenges that Marataízes faces in relation to these cities such as economic growth, quality education, land life, urban mobility and zero hunger with sustainable agriculture. Great action that the city Maratimba has is to ensure the preservation of its beaches, lagoons, mangroves and fishing, as they are part that makes it known touristically and economically, however it is important to invest in new technologies aimed at the urban and rural sphere, and in public policies to adopt strategic and effective measures to improve the city's classification in the SDG index (development and sustainability goals) so far it is considered medium.
TOWARDS SUSTAINABILITY: THE EVOLUTION OF GUANAMBI COMPARED TO CURITIBA
Authors: Oliveira Edna Margareth Pereira Rocha , Cotrim Maria Salza Pereira de Oliveira , Silva Neuzeli Pereira Rocha , Penera Sandro Junior Cotia
Published: December 2024

This article performs a comparative analysis between Curitiba and Guanambi, with the objective of identifying the sustainable urban practices adopted by Curitiba that can serve as a reference for the development of Guanambi. Through a bibliographic research, fundamental areas such as urban mobility, waste management, citizen participation and the use of technologies are examined, highlighting the opportunities and challenges for Guanambi. Curitiba, widely recognized as a sustainable city, has implemented innovative solutions that have transformed its urban structure and quality of life. By contrast, Guanambi still faces significant obstacles, especially in terms of public transport, environmental management and infrastructure. The objective of the article is to propose alternatives for Guanambi to adopt sustainability practices adapted to its regional characteristics, strengthening public management, promoting environmental education and encouraging the participation of the population. Throughout the analysis, it is concluded that Guanambi has the potential to follow a sustainable development trajectory, as long as it invests in innovative solutions and integrated public policies, with the active participation of its community. In this way, the city can walk its path towards sustainability and promote a more balanced and inclusive future.