Nitte University

Exercise-Induced Modulation of Inflammation and Fatigue in Patients with Head and Neck Cancer Undergoing Chemoradiotherapy: A Pilot Randomised Controlled Trial

Objectives: Fatigue and systemic inflammation are among the most prevalent and distressing complications in patients with head-and-neck cancer (HNC) undergoing chemo-radiation therapy (CRT). Exercise has emerged as an effective supportive care intervention; however, high-quality...

In vitro Phase Separation of α-Synuclein: A Model System to Investigate Molecular Pathology of Parkinson’s Disease

Objectives Parkinson’s disease (PD) is the second most common neurodegenerative disease and is characterised by the presence of Lewy bodies in the post-mortem brain histology. Lewy bodies are mostly made up of insoluble aggregated α-synuclein protein, which has been recently sugg...

Hybrid CNN-GRU framework for wind turbine blade defect classification and data-driven severity assessment for predictive maintenance

Abstract The integrity of wind turbine blades is essential for the continuous production of renewable energy. If left unchecked, surface pollution and fissures hasten structural deterioration, lower aerodynamic efficiency, and result in catastrophic blade failure with serious saf...

Assessment of combustion behavior and catalytic converter deposits in a CI engine operated with MWCNT-enriched pongamia biodiesel: experimental study

Abstract Although biodiesel seems to be a promising alternative fuel for compression ignition (CI) engines, its use can cause deposit formation on the catalytic converter and impact engine durability. The effects of 30 ppm multi-walled carbon nanotube (MWCNT) dispersed Pongamia b...

CRNN-V2: speech emotion recognition from audio signals using deep learning techniques

In human–human communication, emotions are naturally perceived through facial expressions, gestures, and speech patterns. However, enabling machines to accurately recognize human emotions during human–machine interaction remains a significant challenge. Speech Emotion Recognition...

A comparative evaluation of deep learning architectures, loss functions, and ensemble strategies for underwater fish species classification

Abstract The accurate classification of underwater fish species is important for biodiver-sity monitoring, sustainable fisheries management, and aquaculture. However, underwater fish classification remains challenging due to class imbalance, varying imaging conditions, and high v...