Kannur University

Isomerization-Driven Photo-Coloration and Elastic Bendability: A Unique Blend of Molecular and Structural Property in Organic Single Crystals

Abstract This study analyzes the trans−cis isomerization-induced photo-coloration in elastically bendable chalcone single crystals. Crystal’s bendability, fluorescence, photo-coloration, and thermal stability have exhibited substantial changes by para-substitution with chloro, io...

Climate Literacy Education in Intelligent Infrastructure: Data-Driven Learning Interventions and Community Engagement

The increasing frequency and intensity of climate-related hazards necessitate proactive urban resilience strategies informed by robust, data-driven models. This study examines the influence of data-driven approaches—including machine learning, geospatial analytics, and integrated...

Obesity-driven adipokine signaling in breast cancer: mechanistic insights, therapeutic challenges, and opportunities for precision oncology

Breast cancer is the leading cause of illness and death among women worldwide, with more than 2.3 million new cases diagnosed each year. The incidence and fatality rates are steadily increasing, notably in Asian countries. Obesity has been established as a major and growing risk...

Effectiveness of Nurse-Coordinated, Digital-Supported Collaborative Care Model in Reducing Hospital Stay and Mortality Among Patients With Heart Failure: TIME-HF Cluster RCT India

BACKGROUND: Heart failure with reduced ejection fraction causes high mortality and recurrent hospitalizations in India. We evaluated the effectiveness of the collaborative care model in improving days alive and out of the hospital and overall survival. METHODS: We conducted a par...

Artificial Intelligence for Early Heart Disease Prediction: A Review of Machine Learning Techniques

Cardiovascular disease (CVD) is still the number one cause of death worldwide and many patients are exposed to severe cardiac events only after the disease has progressed to an advanced stage. Recent advances in artificial intelligence (AI) and machine learning (ML) have shown gr...

Image Steganography Under Multiple Performance Metrics: A Comparative Study

Image steganography performance depends on a trade-off among embedding capacity, imperceptibility, structural fidelity, robustness, security, and computational cost. This paper presents a comparative evaluation framework for spatial-domain and transform-domain image steganography...