http://ijaers.com/ Open Access international Journal to publish research paper en-us June The practice of burning for soil management is common due to its low cost and simplicity, allowing immediate soil reuse. Despite its benefits, such as stimulating pasture regrowth and pest control, there are negative effects, such as soil degradation and reduced productivity in the long term. The technique is controversial, balancing tradition and sustainability, requiring effective alternatives without compromising environmental health. Research indicates both improvements in fertility and damage to soil properties, indicating the need for responsible use. This study evaluated the immediate effect of fire on the chemical attributes of pasture soil, comparing it with a soil of adjacent native vegetation. Conducted at Chácara Vitória, in Monte do Carmo - TO, the experiment Cerrado. analyzed two areas: one of virgin cerrado and another of pasture that had been burned annually for over twenty years. Laboratory analysis showed an increase in K, S, Mn, Zn, P-meh, Mg, Fe, Cu and Ca, and a decrease in Al, B, H+Al. The reviewed literature presents diverse results due to several variables. It is concluded that burning significantly impacts the chemical composition of the soil and should be carefully evaluated considering its long-term implications. http://ijaers.com/detail/effects-of-burning-on-chemical-attributes-and-soil-organic-matter-in-cerrado-areas/ Whedscley Carvalho da Costa, Myllene Barros de Amorim, Wellyngton Germano Borges dos Santos, Guilherme Rocha dos Santos http://ijaers.com/uploads/issue_files/1IJAERS-05202512-.pdf In the contemporary engineering landscape, mentorship has emerged as a pivotal enabler of innovation, technical excellence, and leadership development. This article develops a theoretical lens for understanding the dynamic interplay between structured mentorship and innovation outcomes in engineering contexts. Building on multidisciplinary theories from organizational behavior, social learning, and systems thinking, it proposes the Mentorship-Driven Innovation Framework (MDIF). The framework conceptualizes mentorship as a system of inputs, mediating mechanisms, and feedback loops moderated by organizational culture and context. Through historical analysis, empirical synthesis, and conceptual modeling, the paper highlights how mentorship facilitates knowledge transfer, identity formation, psychological safety, and collaborative creativity. Despite its promise, limitations such as measurement complexity, cultural variability, and underrepresentation of informal mentorship are acknowledged. Future research directions are proposed to refine theory and expand its empirical base. This study offers critical insights for educators, engineering managers, and policymakers aiming to cultivate sustainable innovation cultures in technical organizations. http://ijaers.com/detail/mentorship-and-engineering-excellence-fostering-a-culture-of-innovation/ Siva Kannan Ganesan http://ijaers.com/uploads/issue_files/2IJAERS-05202514-Mentorship.pdf To address the issue of feeding outdoor cats, this study designed an intelligent cat recognition and feeding system. In terms of hardware, it integrates a Raspberry Pi 4B with OpenCV to combine ultrasonic sensor cameras, servos, and pressure sensors, forming a dynamic monitoring, characteristic identification, and precise feeding operation process. In software, OpenCV is used for cat face recognition, and Python scripts are employed to coordinate the work of sensors and actuators. The response time of the system can be controlled to be below 4 seconds. In the accurate recognition and feeding management of stray cats, the effect is quite significant. The adoption of low-cost hardware and lightweight control strategies has endowed an operational approach that is both engineering innovative and socially meaningful, enhancing the efficiency of outdoor stray cat management and facilitating the search for lost pets. http://ijaers.com/detail/intelligent-cat-recognition-and-feeding-system-based-on-raspberry-pi-and-opencv-vision-technology/ Dong-Xu Pan, Hao-Lin Ye, Chih-Ying Chuang http://ijaers.com/uploads/issue_files/3IJAERS-062025-Intelligent.pdf This study investigated the development of artificial aggregates using copper tailings activated by sodium silicate via granulation. Five different mixes were prepared by incorporating varying amounts of ground granulated blast furnace slag (GGBS) and sodium silicate. The granulation process was performed in a rotating disk granulator, with water sprayed onto the dry mixture to facilitate binding. The resulting aggregates, ranging from 5 to 25 mm in diameter, were cured in a humid environment for 3, 7, and 28 d. The aggregates were then tested for size distribution, oven-dried density, water absorption, crushing strength, and individual-granule strength. Microstructural analysis was conducted using scanning electron microscopy (SEM) and X-ray computed tomography (XCT). The results showed that the addition of GGBS significantly improved the properties of the artificial aggregates, resulting in a higher density, lower water absorption, and increased strength.XCT images revealed a more refined pore structure with smaller and more evenly distributed pores in the GGBS-containing samples. The crushing strength and individual granule strength followed a Weibull distribution, with the GGBS samples exhibiting higher strength values. SEM analysis confirmed the formation of N-A-S-H gel in the GGBS samples, which acted as a binding phase and improved the microstructure. These findings demonstrate the potential of using copper tailings and GGBS to produce sustainable artificial aggregates with enhanced properties for construction applications. http://ijaers.com/detail/development-of-artificial-aggregates-by-using-sodium-silicate-activated-copper-tailings-and-slag/ Demagh Lotfi, Hui Wang, Samuel Aires Master Lazaro, Lanping Qian, Xiangyu Li http://ijaers.com/uploads/issue_files/4IJAERS-0620252-Development.pdf The present work sets forth the development and application of a robotic manipulator arm, integrating physical prototypes (LEGO EV3 and 3D printing) with a virtual representation through a Digital Twin and an interactive dashboard. The objective of the research is to optimize industrial processes, reduce costs, and increase productivity, in accordance with the principles of Industry 4.0. The methodology employed involved the mapping of production processes in a factory located in the Industrial Hub of Manaus, utilizing an ACATECH maturity questionnaire. This classification system assigned the company a level 2 (Connectivity) ranking. The construction of the prototypes and the digital simulation enabled the analysis of behavior on the production line and the identification of improvement points, such as material selection and programming. The project demonstrated the potential of accessible tools for the development of robotic systems, with Augmented Reality being explored for the enhancement of maintenance and user-system interaction. The preliminary findings lend credence to the methodology, with the research proceeding towards the execution of comparative assessments and the development of future enhancements. http://ijaers.com/detail/the-importance-of-digital-twin-concepts-for-industrial-process-simulation-in-the-manufacturing-of-electronic-products/ Adria Fabiana Matos de Melo, Jose Santos de Moura Neto, Nivaldo Yenar Cidade Rego, Rafael Silva Santos, Vandermi João da Silva http://ijaers.com/uploads/issue_files/5IJAERS-0620258-TheImportance.pdf This research defines long wave as a wave with a large wave period. The analysis is divided into two main components: deep-water analysis and shallow-water analysis. Deep water refers to the initial depth at which wave generation and calculations begin. In the deep-water domain, a formulation for determining wavelength and wave period is developed. In the shallow-water domain, further analyses are conducted to evaluate wave shoaling, breaking, run-up, and flow depth or inundation at the terminal point of the run-up process. The various analytical methods presented in this study are formulated based on the velocity potential approach derived from the solution of the Laplace equation. http://ijaers.com/detail/long-wave-analysis-using-velocity-potential-equation/ Syawaluddin Hutahaean http://ijaers.com/uploads/issue_files/6IJAERS-06202513-LongWave.pdf The abstract should summarize the content of the paper. The variability of wind resources makes wind power forecasting challenging, which limits its integration into the electrical grid. To address this challenge, several machine learning models are compared to identify the most accurate solution for short-term forecasting. A one-year database, with a ten-minute time step, is used, including environmental variables such as wind speed and direction. An in-depth correlation analysis is performed, outliers are removed, and dimensionality reduction is applied using principal component analysis. Next, seven regression models are compared, including artificial neural networks, support vector machines, k-nearest neighbors, linear regression, decision trees, random forests, and LightGBM. Results show that LightGBM offers the best performance, with a normalized mean squared error of 4.36%, compared to 12.71% for linear regression. Thanks to its ability to model complex nonlinear relationships, LightGBM constitutes a reliable and robust solution for wind power forecasting. This approach significantly improves forecasting accuracy and facilitates the planning of predictive maintenance for wind turbines, which contributes to more efficient management of wind power systems. http://ijaers.com/detail/optimizing-wind-power-forecasting-using-machine-learning-a-comparative-study-with-emphasis-on-lightgbm-for-predictive-maintenance/ Jean Marc Fabien Sitraka Randrianirina, Lovasoa Feno Fanantenana Rakotomalala, Bernard Andriamparany Andriamahitasoa, Zely Arivelo Randriamanantany, Liva Graffin Rakotoarimanana http://ijaers.com/uploads/issue_files/7IJAERS-0620257-Optimizing.pdf This is a case study assessing the environmental impact of GHG emissions from the construction of a reinforced concrete structure. Studies of concrete carbonation focus on concerns about the reduction in pH that causes corrosion of reinforcement. The study aims to show that the CO2 capture by exposed concrete structures is very small during their service life, but quite significant at the end of their life if the concrete is crushed and recycled, showing the importance of this action within the context of the circular economy. We estimated the emissions from the production of the main materials used. We calculated the CO2 capture during the service life and the subsequent recycling in aggregates associated with carbon credits from scrap steel. A device was used to measure carbon levels for three years and produced a 100-year estimate. The results showed a minimal CO2 capture during the service life compared to the respective emissions. However, there is a significant CO2 capture when considering the circular economy involved in the recycling process. CO2 captured by concrete and steel recycling accounts for 40% of emissions, contributing to the achievement of United Nations Sustainable Development Goals No. 8, 12 and 13. http://ijaers.com/detail/the-environmental-impact-of-carbon-emissions-and-carbon-dioxide-capture-by-a-reinforced-concrete-road-structure-during-its-life-cycle/ José de Almendra Freitas Jr., Laila Valduga Artigas, Cinthia Obladen de Almendra Freitas, Everton Tatsuya Kawasaki, Leonardo Luis Bernardi http://ijaers.com/uploads/issue_files/8IJAERS-0520253-TheEnvironmental.pdf Teaching is accepted among the professions in which there are many mental and cultural activities In this context it is important to determine the attitude scores of the members of this profession regarding book reading and to analyse these scores Therefore the purpose of this study was determined as examining the book reading attitude scale scores of science teacher candidates according to the determined variables The study was carried out with the case study method which is one of the qualitative research designs The participant group consists of 93 76 female17 male teacher candidates who are continuing their education in the 2nd 3rd and 4th grades of science teaching The data of the study were collected through the Book Reading Attitude ScaleBRAS 38 items and the Survey Form openended questions developed by the researcher According to the results obtained from the study it can be said that the BRAS scores of the participants N 54 are generally at a medium level 101155 points BRAS scores showed a statistically significant change according to the variables of academic success daily book reading time and the number of books read annually According to the findings obtained from the openended questions it was observed that the participants expressed that not reading enough books in time was a great regret N 43 and the biggest obstacles to reading books were KPSSABT exams held in Trkiye for teacher candidates factors such as appointment N 56 http://ijaers.com/detail/examination-of-science-teacher-candidate/ Mahmut Polat http://ijaers.com/uploads/issue_files/9IJAERS-0720251-Examination.pdf