Jamia Millia Islamia

Heat transfer optimization in MHD trihybrid nanofluid flow over a stretching Riga surface with Cattaneo–Christov heat flux

This study presents the heat transfer analysis of magnetohydrodynamic trihybrid nanofluid flow over a stretching Riga surface configuration and the Cattaneo–Christov non-Fourier heat flux model. The electrically conducting $${\text{Al}}_{{2}} {\text{O}}_{{3}}$$ –Cu– $${\text{TiO}...

Challenges in Learning Continuity during the COVID-19 Pandemic: A Methodological and Thematic Review

The COVID-19 pandemic has resulted in the physical closure of educational institutions throughout the world, but learning continues, albeit with a paradigm shift. The use of digital content in the teaching-learning process gradually began shifting from erstwhile intermittent tech...

Quasi-Monomiality and Heat-Semigroup Extensions of Mittag–Leffler–Sheffer Polynomials

This draft presents the construction of a two-variable extension 2Esn(Θ,Ω)(ρ,y) of the Mittag–Leffler–Sheffer polynomials Esn(Θ,Ω)(ρ) by applying the heat (Gauss–Weierstrass) semigroup generated by the family’s own quasi-monomial lowering operator P^Es, rather than the ordinary d...

Advanced industrial-scale recycling of nickel waste alloys: a driver for circular economy objectives

An eco-friendly electrochemical method of nickel alloy waste leaching was developed for circular economy. The nickel concentration was 72.11 g/L in 100 g/L HCl after 90 A·h, 60 °C and 5 A/dm2 current, while 37.37 g/L nickel was obtained in 100 g/L H₂SO₄ under these conditions. Th...

Development and evaluation of a deep learning framework for screening of cervical lymph node metastasis in microscopic images of oral squamous cell carcinoma: A proof of concept study

Abstract Introduction : Lymph node (LN) metastasis serves as a critical prognostic indicator in oral squamous cell carcinoma (OSCC), profoundly influencing treatment approaches and survival outcomes. This proof‐of‐concept study developed and internally evaluated an economical, de...

Targeting the Candida albicans agglutinin-like sequence 3 adhesin to disrupt oral polymicrobial bacterial–fungal biofilms: mechanisms and therapeutic strategies

glucosyltransferases is examined in detail. Emergent properties of Als3-dependent oral co-biofilms, including elevated antimicrobial tolerance, architectural complexity, metabolic interdependence, and interkingdom signaling amplification, are analyzed. Therapeutic strategies revi...

A phenomenological study of psychosocial challenges faced by parents of children with neurodevelopmental disabilities: a qualitative study

Abstract Introduction Raising a child with neurodevelopmental disabilities (NDDs) like Autism Spectrum Disorder, Intellectual Disability or Specific Learning Disability is particularly challenging from a psychosocial perspective and extends beyond mere caregiving. Given the India...

Urban EcoScore index-based assessment of biophilic potential and habitat-structural condition of the Kolkata metropolitan area

Urban sustainability assessment is crucial due to rapid urbanisation and environmental stress, particularly in the Kolkata Metropolitan Area (KMA), where land-use changes contribute to ecological degradation. This research develops and assesses the Urban EcoScore Index (UESI) as...

Machine learning-driven prediction and optimization of turbulence-enhanced multi-effect distillation system for efficient water treatment

Multi-effect distillation (MED) is one of the most energy-efficient thermal desalination technologies for freshwater production using low-grade heat; however, its performance is constrained by limited heat-transfer efficiency and the lack of accurate predictive tools for process...

Landslide susceptibility mapping using Frequency Ratio, Random Forest, and XGBoost Models along NH-7 between Nandprayag and Vishnuprayag

Landslides are a significant natural hazard in mountainous regions, causing substantial environmental and socio-economic damage. This study aims to evaluate landslide susceptibility using Frequency Ratio (FR), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) models in...