http://ijaers.com/ Open Access international Journal to publish research paper en-us February The Internet of Things (IoT) describes the network of physical objects embedded with sensors, software and other technologies with the aim of connecting and exchanging data with other devices and systems over the Internet. Therefore, this work aims to develop a system (hardware and software) that allows the interconnection of remote electrical machines to maintenance centers, via the Internet, for the diagnosis of rotor unbalance faults, in real time, through smart sensors, cloud computing and big data. http://ijaers.com/detail/internet-of-things-iot-applied-to-rotor-fault-diagnosis-in-electrical-machines-at-remote-sites/ Nicolly Menezes Bastos, Raphael André Medina, Da Costa Cesar* http://ijaers.com/uploads/issue_files/1IJAERS-0120264-Internet3ofThings.pdf The modified Euler momentum conservation equation proposed by the author contains a term that represents wave energy dissipation. This term includes an energy loss coefficient that governs the magnitude of energy release. The coefficient is not a constant but a function of hydrodynamic parameters; therefore, an explicit formulation of this coefficient is required. In this study, the energy loss coefficient is derived using the Kinematic Free Surface Boundary Condition, incorporating wave energy, wavelength, and wave period as governing parameters. The resulting formulation enables effective representation of energy dissipation within the modified Euler momentum conservation equation. Consequently, a time-series water wave model is obtained that is capable of realistically passing through the breaking phase and propagating into shallower waters. http://ijaers.com/detail/energy-loss-coefficient-equation-in-the-modified-euler-momentum-conservation-equation-for-a-time-series-water-wave-model/ Syawaluddin Hutahaean http://ijaers.com/uploads/issue_files/2IJAERS-0220263-Energy.pdf This work addresses the development of a low-cost semi-automatic machine for manufacturing concrete blocks, aiming to meet the growing demand in the civil construction industry for equipment that offers greater productivity and economic viability for small and medium-sized entrepreneurs. Based on studies and market analysis, the design and selection of materials and components were carried out to minimize failures related to abrasiveness and dynamic loads. The project consists of a simplified manual-hydraulic system, incorporating constructive solutions typical of high-performance automatic models, with appreciable robustness and wear resistance. The results obtained prove the technical and economic viability of the equipment which has significantly lower cost than automated hydraulic models available on the market. It is concluded, therefore, that the project fully meets the objective of reconciling low cost with durability and high productivity, establishing itself as a competitive and innovative alternative in the civil construction market. http://ijaers.com/detail/development-of-a-semi-automatic-machine-for-manufacturing-low-cost-concrete-blocks-for-the-civil-construction-industry/ Fernando Grava, Geraldo Creci http://ijaers.com/uploads/issue_files/3IJAERS-0120265-Development.pdf The rapid growth of e-commerce platforms has led to a significant increase in the volume of user-generated reviews, making manual analysis of customer feedback impractical. A critical issue in modern marketplaces is the presence of inconsistencies between the textual content of reviews and the numerical ratings assigned by users, which can distort product evaluation and mislead potential buyers. This study addresses the task of automatic sentiment classification of textual reviews to identify such discrepancies. A dataset of 100,000 user reviews from the Wildberries marketplace was collected and preprocessed. A three-class sentiment labeling scheme was applied, categorizing reviews as negative, neutral, or positive based on user ratings. Three approaches to sentiment analysis were implemented and compared: logistic regression with TF-IDF vectorization, a transformer-based BERT model, and a hybrid RuBERT model augmented with convolutional neural networks. Experimental results demonstrate that transformer-based and hybrid neural architectures significantly outperform classical machine learning methods, with the RuBERT-CNN model achieving the highest classification performance. The proposed approach can be effectively applied to improve the reliability of rating systems and enhance moderation and analytics tools in e-commerce platforms. http://ijaers.com/detail/sentiment-classification-of-product-reviews/ N. S. Fedotov http://ijaers.com/uploads/issue_files/4IJAERS-0220265-Sentiment.pdf This article thoroughly analyzes the reasons for the low efficiency of existing steam turbine and, through a deep understanding and application of Betz's limit law and blade element momentum theory, redefines the efficiency of newest turbine. http://ijaers.com/detail/the-difference-between-existing-steam-turbine-and-the-newest-turbine/ Qiang Yan http://ijaers.com/uploads/issue_files/5IJAERS-0220268-Thedifference.pdf Aerodynamics is an experimental science, and outstanding design results are achieved through trial and error. This article primarily discusses the bottlenecks encountered in innovative wind power development, pointing out the shortcomings of the Betz limit as applied to new wind power theories and the long-standing misconceptions caused by the conclusions of the “Betz limit” in guiding aerodynamic design for novel wind turbines. It argues that the Betz limit is applicable only under the conditions of traditional single-disc horizontal-axis wind turbines and is not suitable for vertical-axis wind turbines. Instead, vertical-axis wind turbines should be explained using a new framework—the multi-disc theory—along with practical examples of its application. http://ijaers.com/detail/the-impact-of-single-disk-and-multi-disk-theories-on-wind-turbine-design/ Qiang Yan http://ijaers.com/uploads/issue_files/6IJAERS-0220268-Theimpactof.pdf This work promotes a discussion about decolonial linguistics focused on the linguistic phenomena involved in the decolonization processes of the zone of non-being in this historical moment that witnesses the rise of the Global South as a counter-colonial, multicultural force that relies on multilateralism in geopolitical terms. Using the theoretical framework of pragmatic discourse analysis, this discussion seeks to show how Fanon and Aimé Césaire were able to lay the foundations for this alternative linguistics by highlighting, in their discourses, the ways in which language was used to subjugate bodies used in the exploitation of the riches of Africa, America, and Asia. The work developed by Labov on the linguistic discrimination suffered by African Americans also appears in the course of this discussion. Here, discourses are taken in their material reality as spoken or written things, that is, as social practices linked to specific cosmologies (or worldviews). http://ijaers.com/detail/decolonial-linguistics-from-fanon-to-linguistic-phenomena-linked-to-the-historical-transformation-of-the-zone-of-non-being-in-the-global-south/ Alex Pereira de Araújo http://ijaers.com/uploads/issue_files/7IJAERS-02202610-Decolonial.pdf This study investigates risk management practices in clinical trials by analyzing a dataset containing 1,000 trial records sourced from Kaggle's name is Clinical-Risk Management Dataset. The analysis based on their operational, regulatory, ethical, and financial risks are their comparative effectiveness of monitoring frameworks like traditional oversight, Risk-Based Monitoring (RBM), and AI-driven strategies. The findings are explored the trials experienced on average three adverse events is a 24% dropout rate, and 10% cost overruns, with high-risk trials (26.4%) strongly linked toward unsuccessful outcomes. In which regulatory and operational risks were the most frequent for ethical risks had the highest share of high-risk cases (29.1%). The performed a comparative analysis revealed that Risk-Based Monitoring (RBM) achieved stronger compliance and fewer adverse events are 2.94 vs. 3.06 in traditional monitoring based on AI-driven monitoring reduced trial terminations (12.8% vs. 15.1%). The slightly lower success rates in which advanced frameworks give better stability and oversight as compared to traditional approaches. The findings stand make-sure to risk management is strongly linked to successful trial outcomes are with high-risk categories consistently associated with failure of trial phase or region. The study remains to conclude with recommendations for sponsors, regulators, and researchers to adopt data-driven frameworks and develop predictive models that are identified to underexplored domains such as ethical and financial risks. http://ijaers.com/detail/evaluating-the-effectiveness-of-risk-based-monitoring-and-artificial-intelligence-driven-strategies-in-clinical-trial-management-a-data-driven-analysis/ Renjith Kathalikkattil Ravindran, Sharat Ragunayakula, Sanjay Kumar Polampally, Sreekumar Anjali Bhavan Vijayan, Ashok Morsu, Geeta Sandeep Nadella http://ijaers.com/uploads/issue_files/8IJAERS-0220267-Evaluating.pdf Nature Centric Housing redefines affordable living by merging biomimetic principles with passive greenhouse architecture. The core innovation lies in a load-bearing stone system that eliminates conventional columns and beams, instead utilizing organic geometries like shells and cellular forms to distribute stress through mass. This structural efficiency, paired with locally sourced stone and lime mortar, significantly reduces embodied energy and construction costs. Integrated greenhouse zones serve as vital thermal buffers, regulating microclimates through natural ventilation and high thermal mass. Beyond temperature control, these spaces enhance indoor air quality and facilitate small-scale food production. By bypassing complex mechanical systems and utilizing traditional masonry in modern configurations, this model offers a resilient, low-carbon residential solution. It demonstrates that combining ancient material wisdom with nature-inspired design creates sustainable, socially responsive housing ideal for rural and semi-urban development http://ijaers.com/detail/nature-centric-housing-biomimetic-green-house-concepts-for-affordable-residential-design/ S. Umme Shahawar, D. Nageswari, G. Kathyayani, Kummara Siva Prasad http://ijaers.com/uploads/issue_files/9IJAERS-02202612-Nature.pdf