Symbiosis International University

Healthcare service utilization under a rural mobile Medical unit in Mulshi block, Maharashtra, India: a retrospective descriptive study

Abstract Mobile Medical Units (MMUs) are increasingly used to improve access to primary healthcare services among geographically underserved rural populations. However, evidence regarding healthcare utilization patterns, repeat consultations, and spatial variation in MMU service...

The Role of Socioeconomic Factors in Severity, Diagnosis and Management of Childhood Asthma: A Scoping Review

Abstract Background Socioeconomic status (SES) has been proposed as a determining factor in asthma severity and management, independent of its role as a confounder. This scoping review aims to systematically map the existing literature on the relationship between parental educati...

Emerging materials and technologies for next-generation sensors in smart IoT systems: a comprehensive review

As the Internet of Things (IoT) continues to advance at an unprecedented rate, there is a growing need for intelligent, adaptable, low-power and sustainable sensing platforms that can operate autonomously over long periods. This paper examines the technological advances in IoT se...

Tracking demographic shifts and epidemiological transition across 44 Asian countries from 1991 to 2023

This study investigates the intertwined demographic and epidemiological transitions across Asia’s five regions and empirically examines the association of demographic shifts on the epidemiological transition across 44 Asian nations. Data from 44 Asian nations from 1991 to 2023 wa...

Deep learning-based multi-modal imaging for early detection of brain tumour

Early and accurate discovery of brain tumours is crucial for timely diagnosis and effective treatment planning. In this work, we put forward an explainable multimodal CNN–Transformer framework, kind of merges MRI and CT cues in a complementary way, using attention-guided multimod...

Experimental and numerical investigation of voltage-dependent active vibration control on a notch-cracked composite mono leaf spring

This paper presents combined experimental and numerical research on the application of an Active Vibration Control System (AVCS) to a cracked glass-fibre-reinforced polymer (GFRP) composite mono leaf spring for automotive suspension systems, an application that, to the authors’ k...

Several Structural Properties and Characterisations of Affine Gould–Hopper-Based Appell Polynomials

In this paper, we introduce and systematically study a new two-parameter family of affine (q,η)-Gould–Hopper-based Appell polynomials. These polynomials arise by fusing the affine (q,η)-exponential Gould–Hopper kernel with an invertible Appell multiplier. A central contribution i...

Emotional Reliance on Artificial Intelligence: A Scoping Review of AI Companionship and Mental Health Implications

Background: Artificial intelligence (AI)-driven conversational systems are increasingly capable of simulating empathy, adapting to individual users, and fostering emotional bonds that blur the boundary between tool and companion. This scoping review maps the extent and nature of...

Robust adaptive graph signal estimation using Pseudo–Huber loss

Graph Signal Processing (GSP) has become a crucial tool for analyzing data distributed over irregular and complex domains. Most widely used representations in GSP are the Graph Fourier Transform (GFT) and the Graph Shift Operator (GSO). GFT is the frequency-domain representation,...

A multimodal cross-modal explainable retrieval-augmented generation framework for hallucination-grounded visual question answering

Recent multimodal large language models (MLLMs) have achieved remarkable performance on visual question answering (VQA) and multimodal reasoning tasks. But one overlooked failure case stubbornly persists: when answers require simultaneous synthesis of evidence from natural images...

Machine learning-based prediction of bead geometry in AZ31 magnesium alloy using robotic cold metal transfer WAAM

This research proposes a machine learning (ML)-assisted framework for bead geometry analysis and optimization in cold metal transfer (CMT)-processed AZ31 magnesium parts. This work aims to predict and validate the bead geometry of single beads using ML techniques. This approach c...

Decoding the KISS1 gene: unraveling KISS1 polymorphisms in the pathogenesis of polycystic ovarian syndrome (PCOS)

Abstract Background Polycystic ovarian syndrome (PCOS) is a common endocrine disorder and the leading cause of anovulatory infertility in women of reproductive age. Changes in the pulsatility of hypothalamic gonadotropin-releasing hormone (GnRH) have been linked to the pathophysi...

An adaptive agentic AI framework for counterfactual validation and adversarial lookahead in automated incident response

With rapid growth in AI research, particularly with the use of large language models (LLMs), there has been swift integration of LLMs into security orchestration, automation and response (SOAR) platforms. Nevertheless, all the current tools share a major flaw in the framework, wh...

An explainable Deep Q-learning and convolutional neural network framework for rice leaf disease detection

Rice leaf diseases pose a significant threat to global food security by reducing crop productivity and causing substantial economic losses. The traditional diagnosis method is manual method, which is low in efficiency, subjective and not suitable for large-scale agricultural moni...

Reframing HRM for a multipolar world: insights from the Asia-Pacific region

Purpose The purpose of this anthology is to critically evaluate the role of human resource management in International Business within an increasingly multipolar, digitally disrupted and institutionally diverse global environment. By bringing together leading scholars, the collec...

The impact of global influence on peace and stability conditions in G20 countries

Peace, cooperation, and stable relations among nations are essential for maintaining global stability. This study applies Power Transition Theory (PTT) to examine how global factors influence peace and stability conditions among G20 countries. It uses 16 years of data (2008–2023)...

Evaluating the task-specific nature of inter-limb asymmetry across change-of-direction and curve sprint tests in youth soccer players

Background Although inter-limb asymmetry is widely investigated, its task-specific nature during multidirectional speed tests remains unclear. The aim of this study was to evaluate the task-specific nature of asymmetry by examining the directional and ordinal consistencies across...

Volatility-adaptive temporal learning framework using hybrid ARIMA-QuadGRU attention for multi-regime financial forecasting

Abstract Conventional financial market forecasting models are challenged by the non-stationarity, the existence of regime changes, the presence of structural breaks, and the phenomena of volatility clustering in financial markets. Linear approaches have only limited accuracy in t...

A PRISMA systematic review of NLP-powered assistive technologies supporting visually impaired students

This systematic review critically examines two decades of research on Natural Language Processing based assistive technologies for visually impaired learners, with a focus on functional scope, implementation maturity, and sustainability implications. Guided by a PRISMA-based meth...

AILQA: Evaluating AI-driven legal question answering systems for the indian legal system

Abstract This comprehensive study introduces an advanced A rtificial Intelligence for I ndian L egal Q uestion A nswering or system tailored for the Indian legal context. leverages a variety of embedding and generative models, including the latest Large Language Models (LLMs), to...