Symbiosis International University

Precision gene editing in infant neuroblastoma: a review of nanoparticle: enabled CRISPR/Cas9 therapies

Infant neuroblastoma (NB), defined by diagnosis during the first year of life, represents a clinically heterogeneous disease spectrum ranging from localized tumours with favourable outcomes and a capacity for spontaneous regression, to high-risk metastatic disease requiring inten...

A review of hydrogen–ethanol–gasoline blends as alternative fuels for spark ignition engines

Abstract The increasing demand and stringent emission norms for sustainable energy have accelerated research into alternative fuels for both SI and CI engines. As promising options, hydrogen‐enriched ethanol‐gasoline and hydrogen‐CNG fuel blends were evaluated for combustion char...

GM-DualTransAML++: A Multi-Source Graph–Transformer Framework with Statistical Risk Mining and Typology Supervision for Anti-Money Laundering Detection

Anti-Money Laundering (AML) has become an increasingly critical challenge for financial institutions because of the rapid growth of digital transactions, sophisticated laundering strategies, and the extreme imbalance between legitimate and suspicious activities. Conventional rule...

Mapping Research Trends and Future Research Directions in Robo-advisory: A Structural Topic Modelling Approach

Robo-advisory services have revolutionized the investment landscape by leveraging advanced technology to provide automated and personalized investment guidance to investors. We explore key research themes addressed in the literature on robo-advisory and identify research avenues...

Technostress and trust in AI mediate the association between AI adoption and employee well-being

Artificial intelligence (AI) technology adoption alters organizational workplaces, automating tasks and processes, augmenting decision-making capabilities, and changing employees’ perceptions of work. While past research has demonstrated positive effects of AI on productivity and...

An optimized majority-feedback QCA D-latch and SET/RESET-enabled SRAM cell for compact, low-latency nanoelectronic memory design

Quantum-dot cellular automata is a contender to replace the scaling of semiconductor technology as it hits physical limits of complementary metal–oxide–semiconductor technology, with its ability to switch faster, take up less space and consume less power. In this study, the desig...

Competition law and sustainable market design: regulating dominant positions to preserve competitive viability in India's telecom and aviation sectors

Purpose This study critically evaluates existing legislations to examine its scope and limitations regarding the sustainability of market design (MD) and effective regulation of abuse of dominant position (ADP) to protect consumer sovereignty in India. It aims to identify princip...

Same hospital, same price, different protection: out-of-pocket expenditure for emergency trauma under public insurance, private insurance and self-payment in India

Background Out-of-pocket expenditure (OOPE) finances 43.4% of total health expenditure in India, and emergency trauma—unforeseeable, unpostponable and costly—is among the sharpest tests of whether a health-financing mechanism protects households from catastrophic spending. Insure...

Estimation of health convergence in Central Europe using β co-efficient

This study examines the convergence of healthcare expenditure and population health outcomes across eleven European countries from 2000 to 2019. Using the β-convergence framework and coefficient-of-variation analysis, the study investigates three health-expenditure indicators—hea...

Metabolic syndrome prevalence clinical profile and associated metabolic risk factors among women with polycystic ovary syndrome in a tertiary care setting

Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder affecting women of reproductive age and is associated with insulin resistance, dyslipidemia, obesity, and an increased risk of metabolic syndrome (MetS). Early identification of metabolic abnormalities...

Time series modeling and anomaly removal for Wikipedia web traffic prediction

Abstract Accurate forecasting of web traffic is essential for a web service provider who wants to manage infrastructure resources and decision-making processes. Internet users rely heavily on Wikipedia articles for information, and over the past few years, the usage of Wikipedia...

Finch–Skea compact stellar configurations in Rastall gravity: structure, stability, and physical admissibility

Abstract We construct static, anisotropic compact-star configurations in Rastall gravity using the Finch–Skea metric ansatz and investigate how the Rastall coupling modifies the structure and stability of ultra-dense matter. We systematically analyze the dependence of the energy...

Association of stroke and cardiac dysfunction: a systematic review of echocardiographic parameters

Cardiovascular issues often arise after acute ischemic stroke, affecting both morbidity and mortality. Although cardiac performance is often reduced after stroke, the relationship between stroke severity, cardiac metrics, and prognostic value remains unclear. This systematic revi...

UAV integrated IoT sensing platform for sustainable air quality monitoring and real time AQI estimation

Monitoring modern air pollution requires flexible but portable systems that can be used to gather real-time data in various settings. This paper describes a drone-based air quality monitoring platform with IoT-enabled sensors integrated into it. The system carries multiple gas se...

Explainable quantum inspired LSTM model for water quality classification in fishponds

Abstract Water quality monitoring is a crucial aspect of aquaculture, contributing significantly to the health, productivity, and sustainable management of aquatic environments. It is important to monitor key parameters like pH, dissolved oxygen, turbidity and temperature levels...

Region-adaptive multimodal learning with morphology-guided feature modulation for brain tumor segmentation

Segmentation of brain tumors using multimodal MRI is difficult because patients have different appearances and structure of tumors. The existing methods of multimodal feature fusion achieve global feature integration but they do not recognize the unique properties which exist in...

Numerical and machine learning analysis of Rb2AgInBr6 lead-free double perovskite solar cells

Abstract To address the environmental concerns and stability limitations associated with conventional lead-based perovskite photovoltaics, this study proposes a lead-free double perovskite solar cell based on an optimized $$\hbox {ITO}$$ / $$\hbox {C}_{60}$$ / $$\hbox {Rb}_{2} \h...

Multi-omics signatures of endometrial receptivity in recurrent implantation failure: a systematic review

Recurrent implantation failure (RIF) affects an estimated 10–15% of women undergoing in vitro fertilisation and may involve impaired endometrial receptivity. This qualitative systematic review synthesised post-2017 multi-omics evidence to identify recurring molecular themes assoc...

Conservation agriculture for sustainable intensification in India integrating soil processes, water resources, crop performance, climate impacts, and adoption

Conservation agriculture (CA) has emerged as a promising approach for enhancing agricultural sustainability by improving soil health, resource use efficiency, climate resilience, and environmental quality. However, the performance of CA in India remains highly heterogeneous due t...

Perceptions of medical students on the utility of Participatory Rural Appraisal (PRA) tools for community learning and communication skill development in a rural health setting

Participatory Rural Appraisal (PRA) is a field-based approach used to gather data or gain insights into the conditions and realities of rural communities. The methods and tools employed in PRA are chosen based on the specific type of data needed. It is a systematic yet adaptable...