Chandigarh University

Elucidating the impact of plants in recruitment of rhizosphere microbiome for enhancing pathogenic resistance, stress resilience and crop productivity

Plants, despite their immobile nature, demonstrate an incredible array of adaptive strategies, which position them as opportunistic organisms in their dynamic interactions with the microbial world. Microbial communities have been integral to plant evolution, helping early land pl...

Machine learning-based comparative analysis of nasal morphology: Forensic implications for sexual dimorphism and ethnic variation

Abstract Background The human nose is a prominent facial feature whose morphoscopic traits offer valuable insights into an individual's ancestry, sex, and personal identification. The study aims to evaluate the nasal morphological features to explore sexual dimorphism and ethnic...

Spectral index and machine learning-based evaluation of coastal urban thermal dynamics using google earth engine

Abstract This present study introduces a cloud-based geospatial and machine learning framework for assessing coastal urban heat island (UHI) dynamics in Thoothukudi coastal region, Southern India, using 12 seasonal Landsat composites (2010–2025) processed through Google Earth Eng...

Development of statistically validated empirical models for rice husk ash and silica fume blended concrete with uncertainty and reliability assessment

The rise in the demand for sustainable concrete necessitates deploying greater levels of industrial and agricultural waste-derived supplementary cementitious materials, whilst achieving predictable engineering performance. Predicting multiple engineering properties of rice husk a...

Unravelling the roles of redox homeostasis and antioxidant system in facilitating adaptive responses during Pb induced hormesis in Brassica juncea

Abstract This research explores the role of the antioxidant-prooxidant balance in eliciting the hormesis effect in Brassica juncea seedlings exposed to mild Lead (Pb). Excessive Pb doses in plants causes oxidative stress, which damages plant cells, stunts growth, and reduces agri...

Performance Enhancement of a Pyramid-Type Solar Still Using a Fresnel Lens and Thermoelectric Coolers: An Experimental Study

This study experimentally investigates the performance of a pyramid-type solar still under four operating configurations: a reference system, a thermoelectric cooling (TEC)-assisted system, a Fresnel lens-assisted system, and a hybrid configuration combining Fresnel concentration...

Driving sustainability, resilience, and digitalisation in automotive supply chains: A stochastic maturity model for future-oriented transformation

Digitalisation, resilience, and sustainability are key drivers of contemporary supply chain transformation, requiring organisations to make strategic decisions under conditions of uncertainty. To support such decisions, this paper presents a stochastic maturity model that support...

NRF2‐Regulated Ferroptosis in Breast Cancer: Mechanisms, Resistance, and Therapeutic Opportunities

ABSTRACT Breast cancer remains a significant clinical challenge, particularly in triple‑negative breast cancer (TNBC), in which therapeutic resistance limits treatment efficacy. Ferroptosis, an iron‐dependent form of regulated cell death driven by lipid peroxidation, has emerged...

Recent advances in solar panel efficiency and economic analysis using passive and active cooling methods

The performance and endurance of photovoltaic panels are primarily dependent upon functional temperature, creating active thermal management vital for enhancing solar energy conversion. This review indicates a complete study of novel passive, active, and hybrid cooling technologi...

Predictive modeling of oral squamous cell carcinoma risk using a multi-parametric machine learning framework integrating clinical, sociodemographic, and salivary biomarker data

Abstract Oral Squamous Cell Carcinoma (OSCC) represents a major public health challenge due to diagnostic delays and the invasive nature of conventional biopsy techniques, underscoring the need for accurate, non-invasive prognostic tools. This study develops and validates a multi...

Black phosphorus quantum dots for precision oncology: From design to translation

Black phosphorus quantum dots (BPQDs) have emerged as a promising class of biodegradable nanomaterials for precision oncology owing to their unique physicochemical properties, quantum-confinement effects, tunable surface chemistry, and multifunctional therapeutic capabilities. Co...

Advanced cathode engineering in sodium-ion batteries: doping, phase, and interface modulation from layer oxides to polyanionics

Abstract Sodium-ion batteries (SIBs) have attracted significant attention as viable alternatives to lithium-ion batteries; however, their practical advancement remains limited by cathode-related challenges, including sluggish Na + diffusion, structural degradation, and rapid capa...

Synthetic Biology and Soft Robotics in Biohybrid Kidney Replacement: A Conceptual Framework and Translational Roadmap

ABSTRACT Background Chronic kidney disease necessitates safer, more continuous kidney replacement therapies (KRT), yet current dialysis and transplantation are constrained by intermittent treatment, organ scarcity, and immunosuppression‐related complications. Methods This concept...

Machine Learning Framework with Posthoc Explainability for Predicting the Strength of Mechanochemically Activated Geopolymer Paste

Abstract Geopolymers offer a low-carbon alternative to ordinary portland cement (OPC); yet their industrial adoption is hindered by complex multivariate design spaces exceeding 10 6 possible formulations and reliance on empirical optimization. This study integrates mechanochemica...

Attention Is All You Need: A Technical Review of the Transformer Architecture and Its Impact on Modern Artificial Intelligence

This technical review examines the Transformer architecture introduced in “Attention Is All You Need,” with emphasis on self-attention, scaled dot-product attention, multi-head attention, positional encoding, and the encoder-decoder architecture. It analyzes how the Transformer a...

Decellularized extracellular matrix bioinks through a polymer engineering lens: tissue-source-dependent macromolecular architecture, crosslinking chemistry, rheological behavior, and 3D bioprinting performance

Decellularized extracellular matrix (dECM) bioinks are widely regarded as one of the more compositionally faithful hydrogel platforms for three-dimensional (3D) bioprinting in tissue engineering. However, the field still lacks a unified polymer engineering framework that links ti...

Attention Is All You Need: A Technical Review of the Transformer Architecture and Its Impact on Modern Artificial Intelligence

This technical review examines the Transformer architecture introduced in “Attention Is All You Need,” with emphasis on self-attention, scaled dot-product attention, multi-head attention, positional encoding, and the encoder-decoder architecture. It analyzes how the Transformer a...

Optimization of surface finish in fused deposition modeled components using hybrid metaheuristic techniques and abrasive flow machining

Fused deposition Modelling (FDM) technique is extensively used in industrial applications. The main advantage of this technique is to provide flexibility and ease of operation, but at the same time, surface roughness is a significant drawback to FDM, caused by layer-by-layer depo...

MXene-based biosensors for hospital-on-chip diagnostics: a coordination chemistry framework from materials design to clinical translation

MXenes, a rapidly expanding family of two-dimensional transition metal carbides and nitrides, have emerged as promising materials for hospital-on-chip (HoC) diagnostics because of their high electrical conductivity, chemically tunable surfaces, and versatile biofunctionalization....

Microwave-assisted plant-extract-mediated synthesis of S-scheme S-g-C₃N₄/ZnWO₄ nanocomposite for visible-light degradation of dye and antibiotic and antimicrobial activity

This investigation focused on the rapid microwave-assisted synthesis of an environmentally benign ZnWO 4 /S-g-C₃N₄ nanocomposite using a dry date-palm extract. The date palm extract functioned as both a reducing and stabilising agent, while microwave irradiation facilitated effic...