Datta Meghe College of Engineering

Understanding the complex interaction between deep foundations and layered soil profiles is critical for the seismic design of high-rise structures. This study conducts a nonlinear dynamic soil pile structure interaction (DSPSI) analysis of a 20-storey reinforced concrete building supported by layered sandy soil, emphasizing the influence of nonlinear soil pile interface behaviour. A detailed three-dimensional finite element model is developed, incorporating three structural configurations: a regular frame and two vertically irregular frames featuring upper-storey geometric discontinuities. The stratified sand deposit is modelled with depth-varying stiffness, and horizontal damping layers are embedded to capture energy dissipation mechanisms. Two pile configurations, series and 2 × 2 grouped arrangements, are examined across two length-to-diameter (L/D) ratios, maintaining a consistent pile spacing of 3D. The study evaluates key seismic response parameters, including lateral deformation, storey drift, base shear, lateral pile displacement, and settlement. The results demonstrate that nonlinear interface modelling significantly alters seismic response trends and enhances the accuracy of performance predictions. These findings underscore the importance of advanced nonlinear interface modelling and optimized pile configurations in improving the seismic resilience of high-rise buildings founded on sandy soil.

The separation of 2,2-dimethoxypropane (DMP) from reaction masses is an important process in chemical manufacturing, particularly in the combination of fine chemicals and pharmaceuticals. This review critically evaluates various separation techniques employed to isolate DMP from complex reaction mixtures. It encompasses a comprehensive analysis of traditional approaches such as concentration and liquid–liquid extraction, highlighting their efficiency, limitations, and suitability based on the physical and chemical properties of DMP. The review also addresses the integration of novel technologies, such as membrane separation and advanced adsorption materials, which offer promising solutions to existing challenges in separation efficiency and cost. Comparative analysis of these methods reveals trends towards more sustainable and cost-effective approaches, with a focus on reducing environmental impact and improving process scalability. Special emphasis is placed on recent innovations and improvements in separation methods, such as the use of novel adsorbents and catalysts, which contribute to higher purity and yield of DMP. The review addresses challenges associated with the separation process, including the impact of impurities, reaction conditions, and economic considerations. Comparative performance metrics and case studies from recent literature are discussed to provide insights into the practical application of these techniques. The review aims to offer a detailed understanding of the current state of DMP separation technologies, guiding researchers and industrial practitioners in selecting and optimizing appropriate methods for their specific needs.

In modern healthcare systems, quick and secure access to patient medical records is very important, especially during emergency situations where the patient may be unconscious or unable to communicate properly. This paper presents BioMedLink, a fingerprint-based medical record retrieval system designed to provide fast and secure access to patient information using biometric authentication. The system captures fingerprint data, performs feature extraction, and matches the generated fingerprint template with records stored in the hospital database. If the record is unavailable locally, the system sends a secure request to a centralized healthcare hub connected with multiple hospitals. After successful authentication, patient medical details such as previous diagnoses, treatment history, and emergency-related information can be retrieved in real time. The proposed system uses SHA-256 hashing, encrypted communication, role-based access control, and audit logging to maintain data privacy and system security. The platform is developed using React, Node.js, Express, Python, and MongoDB to ensure scalability and smooth inter-hospital communication. The proposed framework helps improve accessibility of medical records, reduces retrieval delay during emergencies, and supports better coordination between healthcare institutions.

Depression in Indian adolescents continues to be an important problem related to mental well-being due to the challenges involved in early detection due to the language diversity in India. This paper aims to come up with a system of depression classification using Marathi language, based on the PHQ-9 severity score and MuRIL transformer embeddings. Data used in this study was collected from Marathi journals classified into five categories of depression based on their severity level. The model was trained for 20 epochs via 5-fold cross-validation, with an overall accuracy of 89.32% obtained. The precision, recall, and F1-score for the macro-average values were 0.90, 0.89, and 0.89 respectively. These findings show that the MuRIL model is able to extract linguistic features from the Marathi text successfully while PHQ-9 classifies the text based on its severity score.