Sensory processing disorders in individuals with autism can result in increased sensitivity to auditory stimuli. Sonic-aid aims to address this challenge by developing an AI- powered tool capable of classifying audio input as speech or music. Using Sub-band Coding (SBC) for feature extraction and employing Support Vector Machines (SVM) and Gaussian Mix- ture Models (GMM) for classification, Sonic-aid enables real-time analysis and therapeutic sound filtering. The system is optimized for scalability, visualization, and user-friendly deployment using Fast-API and TensorFlow. This paper outlines the methodology, implementation and real-world applications of the Sonic-Aid system in therapeutic and accessibility contexts.

Keywords- Speech classification, Music classification, Autism therapy, Subband Coding, SVM, GMM, Audio processing.

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A city is a collection of activities that must cater to the requirements of its citizens and exist because of them. A city's ability to support public life and make user interactions with public spaces valuable is what makes it what it is. Residents frequently use local areas such as streets, marketplaces, etc. More attention should be paid to the details of public areas than to the architecture of famous buildings if the city is to become a better place to live. Over time, urban areas'-built environments have seen continuous expansion and development, but their inability to adjust and maintain themselves in the face of these changes is causing degradation of the cities.......

Keywords- Urban spaces, public spaces, environment, economic, culture.

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This paper discussions and systematizes the occupational safety content contained in the training of professionals in the course for Electricians-installers of photovoltaic systems, offered by the national program "Pronatec – EnergIF ", and carried out in Rio Grande do Norte by the Federal Institute of Rio Grande do Norte – IFRN. The installer course has a total of 200 hours, and part of the course load is dedicated precisely to the basic content of occupational safety , and more specifically , safety in electrical installations and services , working at heights and machines and equipment . With practical classes on panel installations being held on a teaching roof , there is direct application of all occupational safety topics developed here .

Keywords- Photovoltaic systems. Work at height . Dangerousness . Electrical installations . Machines and equipment .

[1]. BRAZIL. Ministry of Labor and Employment . NR-6 – Personal protective equipment - PPE, 2024. Available at : https://www.gov.br/trabalho-e-emprego/pt-br/acesso-a-informacao/participacao-social/conselhos-e-orgaos-colegiados/comissao-tripartite-partitaria-permanente/arquivos/normas-regulamentadoras/nr-6.pdf, accessed on 03/21/2024. [2]. NR -10 – Safety in facilities and services in electricity , 2024. Available at : https://www.gov.br/trabalho-e-emprego/pt-br/acesso-a-informacao/participacao-social/conselhos-e-orgaos-colegiados/comissao-tripartite-partitaria-permanente/arquivos/normas-regulame ntadoras /nr-10.pdf, accessed on 03/21/2024 . [3]. NR-12 – Safety at work in machinery and equipment , 2024. Available at : https://www.gov.br/trabalho-e-emprego/pt-br/acesso-a-informacao/participacao-social/conselhos-e-orgaos-colegiados/comissao-tripartite-partitaria-permanente/arquivos/normas-regulamentadoras/nr-12.pdf, accessed on 03/21/2024.

Corrosion Penetration Rate (CPR) is a critical parameter in the oil and gas industry, as it directly impacts the safety, reliability, and operational costs of pipeline systems. In recent years, numerous studies have proposed various predictive models, including Artificial Neural Networks (ANN), Fuzzy Logic (FIS), Optimized ANN (LM), Hybrid ANN-FL, and Adaptive Neuro-Fuzzy Inference Systems (ANFIS), to estimate CPR under different operational conditions. This meta-analysis aims to synthesize the findings of 5 key studies, providing a comprehensive assessment of the predictive accuracy of these models.......

Keywords- Corrosion Penetration Rate (CPR), Meta-Analysis, Prediction, Effect Size Analysis.

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Heart is the most crucial & critical organ of the human body. Life is completely dependent on the efficient working & functioning of our heart. It is one of the major causes of mortality in today's world. Heart disease remains one of the most serious health issues of our day. It is said to be the primary motive in death globally. Many times it's difficult for medical professionals to expect a heart disease on time. Nowadays, the health sector contains a lot of precious hidden facts & information which could prove to be very helpful in making predictive decisions especially......

Keywords- Data Mining, Artificial Intelligence, Heart Disease, Prediction.

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