Graphic Era University

Genetic and biotechnological advances in eggplant improvement for food security

Eggplant, a key strategic horticultural crop within the Solanaceae family, serves as a crucial source of micronutrients, bioactive phytochemicals, and functional foods significantly contributing to food security and sustainable agriculture. Its wide agro-climatic adaptability, ec...

Enhanced prediction of monthly reference evapotranspiration by optimizing SVR with the bagging algorithm in Indian Punjab

In this study, support vector regression (SVR) was enhanced with the Bagging (B-SVR) algorithm for monthly ET0 prediction at Ludhiana and Faridkot stations. The three different scenarios (S1, S2, and S3) were developed to predict monthly ET0 at study locations. The outcomes of th...

Optimization of paper mill sludge ash in sustainable concrete mixes for enhanced strength and durability performance

This research studies the feasibility of paper mill sludge ash (PMSA) as a sustainable alternative to conventional cementitious materials to alleviate the environmental and economic issues due to the production of regular cement. The study was done with M30 concrete with water to...

Symptomatic Sclerosing Pneumocytoma of Lung: A Diagnostic Challenge with Diverse Morphological Patterns.

Background & Objective: Sclerosing pneumocytoma (SP), formerly termed sclerosing hemangioma, is a rare benign lung neoplasm often detected incidentally. Its histological diversity and dual cell population frequently complicate diagnosis, particularly in small biopsies. Case Prese...

Sustainable production of microbial phytase from animal faeces-derived Escherichia sp. via process optimization using response surface methodology

The global phytase market is projected to reach USD 28.53 billion by 2035, reflecting substantial growth potential over the forecast period. The production of microbial phytase supports sustainable waste management; besides, enhances industrial and agricultural applicability by e...

Optimizing biosurfactant production through cost effectiveness and precision approaches

Biosurfactants (BSs) are surface-active compounds synthesized by several microbes, serving as a sustainable substitute for chemical surfactants due to their non-toxicity, biodegradability and environmental-friendliness. They have garnered considerable attention owing to their bro...

Comparative agronomic performance of foliar-applied nano-biochar and potassium nanoparticles in enhancing nutrient uptake, growth, and yield of Triticum aestivum L.

The growing demand for sustainable crop production necessitates innovative nutrient management strategies based on waste valorization. In this study, two waste-derived nanofertilizers, nano-biochar (NBC) and potassium nanoparticles (KNPs), prepared via green routes were evaluated...

What does it take to bring employees back to office? Driving reattachment and engagement through compassionate team and dependable supervisors

Purpose In this study, we investigate the impact of pandemic-induced disruptions and subsequent changes in work arrangements on employee's responses to return to a work-from-office environment. Our premise is two-fold – first, we examine reattachment and engagement levels of the...

Emerging chemical and biotechnological approaches for sustainable treatment of food industrial wastewater and resource valorization: a review

Abstract Food industrial wastewater (FIWW) is a high‐strength and compositionally complex effluent generated from dairy, meat, beverage, fruit and vegetable, and agro‐processing industries. Characterized by high concentrations of organic matter (COD: 1000–6000 mg L −1 ; BOD: 600–...

A Promising Strain for Wheat Growth Promotion and Antifungal Activity Against Fungal Phytopathogens: Bacillus velezensis TRQ67

The rising global food demand requires boosting agricultural productivity without compromising environmental sustainability, especially in the face of intensive agrochemical use and soil degradation. Based on this, strain TRQ67 was isolated from wheat rhizosphere soil in the Yaqu...

A hybrid SHA-256 and variational quantum classifier framework for simulation-based intrusion detection in SDN-IoT networks

Abstract The convergence of Software-Defined Networking (SDN) with Internet of Things (IoT) introduces critical security vulnerabilities requiring adaptive detection mechanisms. This paper presents QEIDS, a quantum-enhanced intrusion detection system combining SHA-256 cryptograph...

Does Financial Literacy Improve Farmer Resilience? The Role of Risk Perception and Credit Access Among Horticulturists

This article examines the relationship between financial literacy and financial resilience of horticultural farmers, and more specifically, the mediation of such a relationship through the perception of risk and by accessing credit. Data were collected from 500 horticultural farm...

Draft genome of Streptomyces species VRG-4 isolated from leaf cutter ants of Uttarakhand

ABSTRACT We describe the draft genome sequence of Streptomyces sp. VRG-4, isolated from leaf cutter ants (Uttarakhand, India). The genome (9.3 Mb) consists of 83 contigs with 72% GC content. Genome annotation identified 8,243 protein-coding genes and 69 tRNA genes, which can be f...

ARIMA and LSTM based Prediction of Diffused Radiation

AbstractThis study demonstrates application of an autoregressive integrated moving average(ARIMA) and long short-term memory (LSTM) network based deep learning optimisers formultistep-ahead prediction of daily mean diffused radiation (DMDR). The DMDR data ofpast 30 years of New D...

Machine learning for mechanical property assessment and optimisation in hybrid natural fibre/epoxy composites

The development of sustainable engineering materials and rising environmental awareness has encouraged the development of research in high performance natural fibre reinforced polymer composites. This study aims to provide a comprehensive experimental and machine learning based s...

Beyond Statistical Similarity: A Multidimensional Framework for Evaluating Synthetic Tabular Data

This research examines the quality of synthetic tabular datasets generated by two deep generative models, CTGAN and TVAE. The evaluation uses three benchmark datasets representing different application areas: Adult Income, Bank Marketing, and German Credit. The study goes beyond...

Sonochemically manganese doped activated carbon from Bauhinia variegata for dual energy application

Activated carbon (AC) remains a foundational electrode material in electrochemical double-layer capacitors (EDLCs) owing to its high specific surface area, tunable pore structure, and robust charge–discharge cycling. The performance of EDLCs is closely linked to the physicochemic...

Toward smarter solar: IoT and fuzzy logic for real-time maximum power point tracking and monitoring of photovoltaic systems

Abstract Photovoltaic (PV) systems are extremely prone to wear and tear and physical damage due to large variation in environmental conditions. Integration of real-time monitoring systems with PV would be highly advantageous in detecting early faults and performance degradation c...

Valorization of slag and banana leaf ash in five natural fiber-reinforced sustainable cementitious composites: early age mechanical and microstructural insights

Portland cement is highly energy-consuming, and its CO 2 emissions raise environmental concerns in the construction sector. This has prompted the desire for sustainable additional cementitious materials, such as slag and banana leaf ash (BLA). Nevertheless, the current literature...

Data-driven decision support for inventory planning: A Lean, Agile, Resilient, and Green (LARG) perspective

This study proposes a data-driven decision support framework for Maintenance, Repair, and Operation (MRO) inventory planning from a Lean, Agile, Resilient, and Green (LARG) perspective. The first stage of the proposed framework involves demand forecasting, which is implemented us...