Abstract:
Laser light scattering techniques have emerged as indispensable analytical tools for characterizing semiconductor materials, providing non-destructive and high-resolution measurements of structural, optical, and electronic properties. This meta-analysis synthesizes research conducted over the past two decades to evaluate the efficacy, applicability, and limitations of various laser light scattering methodologies including Raman spectroscopy, Brillouin scattering, dynamic light scattering (DLS), and resonant light scattering (RLS). Through systematic review of 180+ peer-reviewed articles and technical reports, this study identifies key advancements in laser scattering technologies, compares quantitative performance metrics across different techniques, and establishes frameworks for optimal technique selection based on specific material characterization requirements. Critical analysis reveals that Raman spectroscopy maintains predominance with 67% citation frequency, while emerging hybrid approaches combining multiple scattering modalities demonstrate superior diagnostic capabilities. This meta-analysis contributes to the standardization of laser scattering protocols for semiconductor analysis, identifies research gaps particularly in real-time in-situ characterization during device fabrication, and proposes future research directions including integration with machine learning algorithms for automated spectral interpretation. The comprehensive synthesis provides researchers and practitioners with evidence-based guidance for selecting, implementing, and interpreting laser light scattering techniques in semiconductor materials research and quality control applications.
Area: Department of Physics
Author: Riya Dhadhich¹, Dr. Bhanu Pratap²
DOI: MJAP/05/1507
Abstract:
This institute mainly focuses on the construction industry as it is one of the biggest contributors of global carbon dioxide owing mainly to Ordinary Portland Cement (OPC) production. Environmental concerns regarding concrete combine with growth in global infrastructure demand to push innovative sustainable replacements for traditional cement. It evaluate mechanical, durability and microstructural properties of concrete utilizing the waste materials. It is found that replacement levels differ with respect to material type and fineness, however, strategic replacements can improve the compressive strength substantially, increase sulfate attack resistance, and mitigate thermal cracking. Setting time and early-age strength are however still very much an issue This work is by far the overall review of the recent trends to find out the best replacement ratios and discuss future research potentials for carbon-neutral construction materials.
Area: Department of Civil Engineering
Author: Ravi Mandloi¹, Rajesh Chouhan²
DOI: MJAP/05/1506
Abstract:
Project scheduling remains one of the most critical determinants of cost efficiency and resource optimization in contemporary project management practice. This review paper presents a comprehensive meta-analysis of past research examining the multidimensional relationship between scheduling methodologies, cost performance, and resource utilization across diverse industry sectors. Drawing from over three decades of empirical studies, theoretical frameworks, and applied investigations, the analysis synthesizes findings from construction, information technology, manufacturing, and infrastructure development domains. The review identifies consistent patterns demonstrating that structured scheduling approaches including Critical Path Method (CPM), Program Evaluation and Review Technique (PERT), and Agile-based scheduling significantly correlate with reduced cost overruns and improved resource allocation efficiency. Meta-analytic findings reveal that projects employing advanced scheduling techniques experience, on average, 23–35% lower cost deviations compared to those operating without formal scheduling frameworks. Furthermore, resource optimization indices consistently improve when scheduling is integrated with real-time monitoring and earned value management systems. The paper also highlights persistent gaps in the literature, particularly regarding dynamic scheduling in uncertain environments and the role of digital tools such as Building Information Modeling (BIM) and Artificial Intelligence (AI) in transforming scheduling efficacy.
Area: Department of Civil Engineering
Author: Mohammad Zikrullah¹, Mrs. Kamni Laheriya²
DOI: MJAP/05/1505
Abstract:
Concrete is a material with wide use in construction industry but the low tensile strength and brittle behavior of this construction material restrict structural performance. The addition of steel fibers in concrete has been found to be an effective method to enhance mechanical properties of concrete. The experimental study aims to assess the behaviour of the steel fibre chips (which are produced by machining and lathe waste) on the properties of strength of M-25 grade, M-30 grade and M-35 grade concrete. The dosage of steel fiber chips used in the concrete was 0%, 0.5%, 1.0%, 1.5%, and 2.0% by volume of concrete. A comprehensive experimental study has been carried out to evaluate the compressive strength, split tensile strength, flexural strength at curing ages of 7, 14 and 28 days as per Indian Standard specifications on which 135 specimens were tested. The findings showed that the concrete with steel fibre chips addition showed considerable improvement in all mechanical properties of concrete as the most significant improvement is noted in the tensile and flexural properties. The best results were obtained at 1.5 % fibre content when the compressive strength was raised by around 13-15%, split tensile strength was raised by around 30-35% and flexural strength raised by around 39-45% over conventional concrete. The 1.5% fibre content and beyond, workability reduction, fibre clustering, and compaction problems caused marginal reduction in the strength. The authors show that steel fiber chips can provide an economical and sustainable alternative to commercially produced steel fibers, and can be used to achieve better structural performance, as well as beneficial utilization of the industrial waste in construction applications.
Area: Department of Civil Engineering
Author: Jaiprakash Jaiswal¹, Mrs. Kamni Laheriya²
DOI: MJAP/05/1504
Abstract:
Reinforced concrete (RC) structures remain critical infrastructure in water treatment systems globally, yet their long-term durability performance under aggressive chemical environments continues to present significant engineering challenges. This empirical study presents a comprehensive assessment of 47 water treatment facilities across diverse climatic and operational conditions, evaluating structural integrity, material degradation mechanisms, and design performance. Through systematic field investigations, laboratory analysis, and quantitative data assessment, this research identifies critical durability indicators and performance metrics associated with corrosion, alkali-aggregate reactions, and microcracking phenomena. Our findings reveal that 62% of facilities aged 20-30 years exhibited moderate to severe durability concerns, with carbonation depth and rebar corrosion constituting the primary degradation mechanisms. Advanced statistical analysis correlates design parameters, material composition, and environmental factors with observed damage patterns. The research implements optimization strategies utilizing supplementary cementitious materials, enhanced surface treatments, and innovative protective coatings that demonstrated 35-45% improvement in durability indicators. Additionally, this study proposes predictive models for service life estimation incorporating climate data, loading patterns, and maintenance regimes. The integrated methodology provides practical frameworks for design optimization and rehabilitation strategies applicable to existing and future water treatment infrastructure. Recommendations emphasize preventive maintenance protocols, material innovation, and performance-based design approaches to extend facility lifespan by 15-20 years. These findings contribute significantly to sustainable infrastructure development and resource optimization in water management sectors.
Area: Department of Civil Engineering
Author: Rupali Dehariya¹, Dr. Jyoti Yadav², Vivek Shukla3
DOI: MJAP/05/1503
Abstract:
The global nutraceutical industry, valued at approximately USD 451.8 billion in 2024, operates under divergent regulatory architectures that impose fundamentally different clinical evidence standards across jurisdictions. This study presents an evidence-based comparative analysis of nutraceutical clinical validation frameworks in India (FSSAI), the United States (FDA/DSHEA), and the European Union (EFSA/Directive 2002/46/EC), with particular emphasis on safety substantiation requirements, health claim authorization pathways, and pre-market clinical evidence obligations. The primary hypothesis states that significant regulatory asymmetry in clinical evidence requirements among the three jurisdictions creates unequal market entry barriers, consumer safety risks, and structural impediments to global harmonization. Using documentary analysis, regulatory database review, and structured comparative tabulation of official regulatory instruments, this study examined clinical evidence tiers, claim categories, and enforcement mechanisms across the three regulatory regions.
Area: Department of Clinical Nutrition
Author: Jyotsna Jaspal
DOI: MJAP/05/1502
Abstract:
Self-healing smart materials have the potential to be game changers in sustainable infrastructures, providing autonomous repair of delaminated bonds and functional biomimetic structures that may extend service life significantly while minimizing long term cost and environmental footprint. This empirical work provides a detailed data-driven investigation of five different classes of self-healing materials-microcapsule-epoxy composites, vascular network polymers, intrinsic self-healing hydrogels, bacterial concrete and shape memory alloys-evaluated for multiple infrastructure applications such as bridge decks, highway pavements, tunnel linings, water treatment plants and high-rise foundations. Data were collected over an integrated field and laboratory four-year period (2019–2023) consisting of 60 test specimens at five real-world deployment sites covering a total treated infrastructure surface area of more than 24,800 m². Compared to conventional concrete controls, the perfomance of shape memory alloys was 68.9% efficient in healing compared with 91.2% for intrinsic self-healing hydrogels and CO₂ emission reductions ranged from up to 31.8% and maintenance cost savings from up to 47.3%. Statistical analysis utilizing one-way ANOVA found significant differences in performance across material types (F(5,54) = 24.73; p < 0.001). Strong positive correlations were established between healing efficiency and durability (r = 0.912; p < 0.001), CO₂ reduction and service life extension (r = 0.874; p < 0.001) through Pearson correlation analysis. The multiple regression modelling resulted to R² = 0.874, supporting that the healing efficiency, carbon reduction benefit and recovery time available and the benefit-cost ratio jointly accounted for 87.4% of the variation of infrastructure durability indices. This categorization reveals intrinsic self-healing hydrogels to possess the most well-rounded performance profile along tech-environment-economic axes rendering them stro
Area: Department of Civil Engineering
Author: Jyotibala Dewada¹, Prof. Sachin Sironiya²
DOI: MJAP/05/1501