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A Comparative Review of Nanomaterials for Neuroprotection in Neurodegenerative Diseases

Neurodegenerative illnesses like Alzheimer's, Parkinson's, and ALS cause progressive injury to the brain, causing loss of memory, movement, and cognitive functions over time. The problem with these diseases is that most drugs cannot pass through the brain's protective barrier—the blood-brain barrier (BBB). In this review, the new use of nanomaterials—extremely tiny particles measured in nanometers—is described to transport drugs across the BBB without harming brain cells. We analyzed eight of the most well-researched types of nanomaterials: fat-based, plastic-like, dendrimers, carbon-based, gold, cerium oxide, iron oxide nanoparticles, and quantum dots. Each was assessed on its ability to deliver drugs to the brain, safety, stability, and performance in laboratory tests. Fat-based and plastic-like nanoparticles outperformed all others based on biocompatibility and drug delivery ability. Gold nanoparticles were highly multifunctional and versatile for therapy and imaging. Cerium oxide proved to be a great antioxidant and could protect neurons from injury. However, some nanomaterials like carbon nanotubes and quantum dots were of concern due to toxicity. The review concludes that just as there is no single nanomaterial that is perfect, their benefits can be leveraged in hybrid systems to enable more powerful, targeted, and safer treatment. In fact, nanotechnology has tremendous potential for future advances in the fight against brain disease by enabling precise and protective drug delivery to the brain.

Published by: Ayaan Bansal

Author: Ayaan Bansal

Paper ID: V11I3-1369

Paper Status: published

Published: October 27, 2026

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Research Paper

Quantum-Inspired Deep Learning for High-Dimensional Data Processing in Finance

This paper explores the application of quantum-inspired deep learning techniques for processing high-dimensional financial data, specifically focusing on predicting stock price movement using Apple Inc. (AAPL) stock data. We investigate the effectiveness of a quantum-inspired model in comparison to a standard Long Short-Term Memory (LSTM) network. The study incorporates various technical indicators as features and evaluates model performance using standard classification metrics and visualizations. The challenges of high-dimensional data in finance are discussed, and the potential benefits of quantum-inspired approaches in this domain are explored.

Published by: Manupati Ramana Kumar, Kokkiligadda Nischal varma, Kamireddy Yaswanth Reddy

Author: Manupati Ramana Kumar

Paper ID: V11I3-1184

Paper Status: published

Published: October 27, 2026

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Research Paper

Electronic Sensory Glove

The human hand is vital for daily and social functions, and its loss can significantly impact quality of life, often necessitating psychological intervention due to isolation, anxiety, or depression. While prosthetic hands restore essential mobility, challenges remain in achieving natural appearance and sensory feedback. This study presents the development of an electronic sensory glove (e-glove) system that seamlessly integrates multimodal sensors—capable of detecting pressure, temperature, and moisture—into a commercial stretchable nitrile glove. Leveraging a hybrid screen- and transfer-printing fabrication method, the e-glove conforms to various prosthetic hand shapes and sizes, offering realistic tactile qualities and real-time data transmission via a wristwatch interface. Both experimental and computational analyses validate the glove’s mechanical and functional efficacy, demonstrating its potential to enhance prosthetic hand interactions in diverse daily and social contexts.

Published by: Ramola Joy P, Subha P S

Author: Ramola Joy P

Paper ID: V11I3-1212

Paper Status: published

Published: October 27, 2026

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Review Paper

REGIONAL INSIGHTS AND PROPOSED ALGORITHM FOR EARLY DIAGNOSIS AND MANAGEMENT OF HEPATIC ENCEPHALOPATHY

Hepatic encephalopathy (HE) is a significant neuropsychiatric syndrome linked to liver dysfunction, presenting as either minimal hepatic encephalopathy (MHE) or overt hepatic encephalopathy (OHE). This review is based on focused group discussions of various experts across India, followed by guidance statements based on analysis of published literature, and designing a set of comprehensive algorithms to encourage early detection, intervention, diagnosis, and management of HE, as well as improve patient outcomes. The experts recommended using tests like the Psychometric Hepatic Encephalopathy Score (PHES) and Critical Flicker Frequency (CFF) reliable tool for diagnosing MHE, highlighting the need for specialized neuropsychological testing. In addition, the experts discussed the role of lactulose and rifaximin in reducing HE recurrence, and the potential benefits of probiotics, prebiotics, and symbiotics. Furthermore, the experts emphasized the importance of nutritional management, particularly intake of protein and branched-chain amino acids (BCAA) in the overall HE management. Liver transplantation may be considered in refractory cases. Regular follow-ups are crucial to monitor and adjust treatment strategies. By incorporating expert opinions and evidence-based practices into the designing of algorithms, the review aims to facilitate accurate and timely diagnosis, prompt intervention, and tailored treatment strategies, thereby reducing the variability in patient care, thus enhancing the quality of life for patients with HE.

Published by: Dr. Pathik Parikh, Dr. Dinesh Jothimani, Dr. Karmabir Chakravartty, Dr. J. R. Mohapatra, Dr. C. C. Chaubal

Author: Dr. Pathik Parikh

Paper ID: V11I3-1363

Paper Status: published

Published: October 27, 2026

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Thesis

Effect of Breathing Exercise on the Outcome of Labour Among Primigravida Mothers

Purpose: To determine the effect of breathing exercise in outcome of labour among primigravida mothers. Objectives: 1. To determine the effect of breathing exercise on outcome of labour among primigravida mothers. 2. To compare the outcome of labour between control and experimental group of primigravida mothers. 3. To determine the relationship between breathing exercise and outcome of labour in experimental group. 4. To determine association between breathing exercise and outcome of labour in experimental group. Result : The primi gravida mothers who practiced the breathing exercise on labour experienced mild level of pain. There was a positive relationship between breathing exercise and outcome of labour. There was significant association (P<0.05) level between breathing exercise and demographic characteristics such as education and income.

Published by: Christy Sahaya Ruby

Author: Christy Sahaya Ruby

Paper ID: V11I3-1364

Paper Status: published

Published: October 27, 2026

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Review Paper

Application of Operations Research in Production Planning

The present review is a systematic literature review-cum-bibliometric analysis of the application of operations research (OR) to production planning and optimisation in manufacturing. The data for the review was procured from Elsevier’s Scopus database using the keywords “Production Planning”, “Optimization” and “Manufacturing”, and was screened using the PRISMA framework. The final database comprises 1,591 articles and review papers published between 2016 and 2026. Using Biblioshiny, the study examines publication trends, leading sources, authorship and the thematic structure of the field. Annual output rose from 75 documents in 2016 to 273 in 2026, an annual growth rate of 13.79%, spread across 568 sources and 5,270 authors. Production control and optimisation, and smart manufacturing and Industry 4.0, were found to be the dominant themes, while sustainability-oriented multi-objective decision making is emerging. The review identifies eight research priorities, including common benchmarks, fair comparison of learning-based and classical OR methods, digital twins, human-centric planning and integrated, resilient planning.

Published by: ⁠Dr. Richa Kalpesh Saxena, Vansh Sanghavi, Viraj Kothari, Vaibhav Shah, Vihaan Jain

Author: ⁠Dr. Richa Kalpesh Saxena

Paper ID: V12I5-1251

Paper Status: published

Published: October 27, 2026

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