http://ijaers.com/ Open Access international Journal to publish research paper en-us May Fish has increasingly become an essential element in the search for sustainable protein sources in human nutrition. The diverse species available along the 8,000 km of our country's coastline provide a rich and varied source of food. To consolidate the fishing market, ensuring the quality of the food presented to the consumer is crucial. Among the existing ways to ensure the freshness of fish, the rigor mortis index reflects the biochemical aspects of the flesh and the stages it undergoes until it becomes unfit for human consumption. This study aimed to determine the rigor mortis index and its stages in the Carapeba species (E. brasilianus). The samples were captured on the beach of Itaipava, Espírito Santo, Brazil, and the experiment was conducted at IFES – Piúma Campus over a period of 30 hours. The measurements taken indicate that Carapeba exhibits pronounced and long-lasting rigor mortis indices, suggesting great potential in terms of quality and freshness. Specimens P2 and P3 reached the rigor mortis stage first, both at around 4.3 hours, while P1 took 5.3 hours. The full rigor mortis stage lasted 40 minutes for P1, whereas P2 and P3 remained in full rigor for 18.7 and 16.7 hours, respectively. The importance of this study for the species is notable, as even under stressful slaughter methods, the rigor mortis response time is significantly high, indicating an extremely attractive preservation potential. http://ijaers.com/detail/determination-of-the-rigor-mortis-index-for-the-species-eugerres-brasilianus-cuvier-1830-captured-in-itaipava-esp-rito-santo-brasil/ Hugo A. M. Azevedo, Mileni S. P. Gonçalves, Thiago L. Oliveira, Débora B. Gava, Flavio C. G. Junior, Geslaine S. Oliveira, Paulo Henrique C. Lyrio, Marcelo G. Minozzo http://ijaers.com/uploads/issue_files/1IJAERS-0420257-Determination.pdf This study analyzes stakeholders' perceptions of the culture of innovation in an organization in the Greater ABC region linked to an Innovation Hub. The research adopts an exploratory approach, using qualitative and quantitative methods, with data collection carried out through employee questionnaires and interviews with managers. The results show that, although innovation is recognized as essential, there are challenges in integrating this culture, in training employees, and in strategic alignment with the Hub. The study concludes that it is necessary to strengthen support mechanisms and promote greater internal cohesion to ensure that innovation becomes a consistent practice within the organization. http://ijaers.com/detail/culture-of-innovation-the-impact-on-the-day-to-day-of-an-organization/ Bruno Tadeu Ferreira da Silva, Alexandre Acácio de Andrade, Anderson Orzari Ribeiro http://ijaers.com/uploads/issue_files/2IJAERS-0520252-Culture.pdf Aiming at the shortcomings of the DreamTalk 2D digital human synthesis model in computational efficiency and expression generation fineness, this paper proposes an optimization method combining adaptive sparsity and cross-modal feature enhancement. By introducing a dynamic threshold sparsity mechanism into the diffusion model, the sparsity ratio was dynamically adjusted based on the learnable threshold and Exponential Moving Average (EMA), and the Mutual information Constraint (MI Constraint) was combined to minimize the information loss, which reduced the calculation amount of the model while retaining key features. The model architecture is improved, and the decoupled decoder is designed to decompose the facial expression into the upper and lower regions for independent processing. The dynamic linear layer is combined to realize parameter adaptation under the style condition, and the detail expression of expression generation is improved. In addition, Tacotron speech features and Wav2Vec acoustic features are fused to enhance the synchronization of speech and expression, and skip connections are used to optimize the information transmission efficiency. http://ijaers.com/detail/dreamtalk-dmt-a-lightweight-sparse-mechanism-model-with-dynamic-thresholds/ Jia Zhang, Lin Po Shang http://ijaers.com/uploads/issue_files/3IJAERS-0520254-DreamTalk.pdf In the context of energy transition and the growing interest in green hydrogen as a sustainable fuel, this study presents a comprehensive mathematical modeling of an alkaline water electrolyzer. The paper investigates the fundamental physical and electrochemical processes involved in hydrogen generation, covering electric, thermodynamic, and electrochemical models. Key parameters such as electrolyte concentration, conductivity, membrane resistance, and gas bubble effects are incorporated. Simulation results using MATLAB/Simulink are provided to illustrate the behavior of the system under varying operational conditions. The findings contribute to the optimization of hydrogen production systems through accurate model-based design. http://ijaers.com/detail/mathematical-modeling-and-simulation-of-an-alkaline-electrolyzer-for-hydrogen-production/ Andrianaivoarivelo Jaolalaina Arisoa, Andrianjatovo Falinirina, Rafanjanirina Eulalie Odilette, Randriamanantany Zely Arivelo http://ijaers.com/uploads/issue_files/4IJAERS-0520251-Mathematical.pdf In high-stakes domains such as finance, healthcare, and criminal justice, machine learning (ML) systems must balance predictive performance with fairness and transparency. This paper presents a comparative analysis of two widely used ML models, logistic regression and random forest, evaluated through the lens of individual fairness. Using the UCI Adult Income and COMPAS datasets, we assess performance in terms of accuracy, F1 score, individual consistency, and disparate treatment. Our findings indicate that while random forests offer marginally higher accuracy (by approximately 1%), logistic regression improves individual consistency by up to 4%, suggesting it is preferable in fairness-sensitive applications. This study emphasizes model selection’s role in achieving ethically responsible AI. http://ijaers.com/detail/a-comparative-analysis-of-logistic-regression-and-random-forest-for-individual-fairness-in-machine-learning/ Sanjit Kumar Saha http://ijaers.com/uploads/issue_files/5IJAERS-0520256-AComparative.pdf In this research, the governing equation for wave diffraction at a breakwater gap is formulated. The equation is derived by substituting the three-dimensional velocity potential—obtained as the solution to the Laplace equation—into the Laplace equation, under the condition that there is a variation or differential in the wave constants. The resulting equation is a second-order partial differential equation with respect to one of the wave constants. The governing equation is then solved numerically using the Finite Difference Method, employing the Successive Over Relaxation (SOR) technique for the iterative calculation. http://ijaers.com/detail/diffraction-model-on-the-breakwater-gap-based-on-velocity-potential-equation/ Syawaluddin Hutahaean http://ijaers.com/uploads/issue_files/6IJAERS-05202510-Diffraction.pdf Water is the most important element in our environment. Radionuclides such as Uranium and Radon are soluble in water and can pose a significant health hazard. This review provides a comprehensive analysis of the source, occurrence, impact on inhabitants and affecting factors in Uttarakhand state. As Uttarakhand is a water-rich region known for its abundant rivers, springs and groundwater, monitoring of radionuclide contamination is very crucial from a public health and environmental point of view. Districts Bageshwar and Pauri show the maximum uranium content, and Tehri and Rudraprayag show the maximum concentration of radon in water. Mainly, Geology is the main factor in Uttarakhand for uranium and radon anomalies. The result depicts that there is no significant health risk in Uttarakhand state. All dose rates from the uranium and radon are less than the recommended limit prescribed by UNSCEAR and WHO. http://ijaers.com/detail/norms-and-associated-health-hazard-in-himalayan-water-system-a-review/ Shagolsem Dungo Meitei, Pydikondala Narasimha Satya Abhiram, Rohit Singh Sajwan, Veena Joshi http://ijaers.com/uploads/issue_files/7IJAERS-05202511-Norms.pdf