Abstract:
The Bharatiya Nagarik Suraksha Sanhita, 2023 (BNSS) , which, with effect from 1 July 2024, repeals the Code of Criminal Procedure , 1973, represents a paradigmatic reconfiguration of the Indian criminal procedural framework. Reforms of far-reaching significance include Section 105 which, when read with Sections 185 and 176(3), require the audio-video electronic recording of the entire process of search and seizure, including preparation of the seizure list and the witnesses signing the same, preferably through a mobile phone, and transmitted immediately to the jurisdictional Magistrate. The legislative imperative "shall," elevates videography from grounds of investigative discretion to grounds for procedural obligation. This reform claims to facilitate transparency, prevent planting of evidence and strengthen fair-trial protections under Article 21 but it simultaneously creates a constitutional conflict with the right to privacy acknowledged in K.S. Puttaswamy v. Union of India (2017). We are worried about the unstructured capturing of intimate domestic spaces, biometric data, a minor, and 3rd party who is not remotely asked to provide any consent that undermines proportionality, data minimization, chain-of-custody integrity under Section 63 of the Bharatiya Sakshya Adhiniyam, 2023 Using 412 field-survey responses, 87 reported judgments and secondary data from State Police Headquarters and the e-Sakshya portal, this empirical study investigates compliance patterns, judicial response, and citizen perceptions in five Indian states from July 2024 to December 2025. The results illustrate a stark divide between legislative ambition and field practice: only 38.4 per cent of reported searches complied fully with statutes, and 61.2 per cent of respondents raised privacy concerns. This paper finally suggests a framework similar to the Puttaswamy triple test of legitimacy, necessity and proportionality to reconcile digital transparency with forensic privacy.
Area: Department of Law
Author: Nikita Dwivedi1, Dr. Awadesh Pratap Singh2
DOI: MJAP/05/0102
Abstract:
Organizing the project execution to achieve organisational goals has been one of the most persistent unresolved management practice issues of all times. This empirical paper examines the critical variables affecting organisational goal performance through a comparative study of 200 projects from the public, private and non-governmental sectors of organisations. Local data were obtained from 300 responses of project managers, team leaders, and organisational stakeholders using a 35-item validated questionnaire. We systematically studied the remaining seven key drivers quality of leadership, allocation of resources, engagement of stakeholders, planning and scheduling, risk management, communication effectiveness and fit-for-purpose organisational culture. The data analysis included descriptive statistics, Cronbach's alpha reliability testing, Pearson correlation analysis, independent samples t-tests, one-way ANOVA, and multiple linear regression modelling. The regression model accounted for 67.3% in the variance of goal performance (Adj R2 = 0.664). The strongest predictor was leadership quality (beta = 0.341, p < 0.001), followed by planning and scheduling (beta = 0.310, p < 0.001). Comparison of the means using paired Student's t-test revealed that all factors were statistically significantly different (p < 0.001) between successful project groups and failed project groups. Overall, the private sector displayed consistently higher factor scores than public sector and NGOs. Theoretically-obsessed, empirically-informed lessons that have practical implications for aspiring practitioners and policy administration seeking project utmost success and organisational goal attainment.
Area: Department of Business Administration
Author: Gbenga Segun Akinwande
DOI: MJAP/05/0040
Abstract:
Digital innovation has emerged as a decisive force in reshaping organizational performance across industries worldwide. This paper examines how digital innovation contributes to the optimization of organizational performance by exploring its influence on operational efficiency, customer experience, employee productivity, and strategic competitiveness. The primary objectives of this study are to assess the extent to which digital innovation tools including artificial intelligence, cloud computing, big data analytics, and Internet of Things enhance key organizational performance indicators, and to identify the critical success factors and barriers that mediate this relationship. A descriptive-analytical research design was adopted, employing secondary data analysis of global industry reports, peer-reviewed empirical studies, and organizational surveys published between 2020 and 2025. The hypothesis posits that organizations with higher digital innovation adoption experience statistically significant improvements in productivity, profitability, and customer satisfaction compared to digitally lagging firms. Results demonstrate that digitally mature organizations achieve 20–30% higher operational efficiency, 26% greater profitability, and 1.8 times higher earnings growth than non-digital counterparts. However, approximately 70% of digital transformation initiatives fail to achieve their stated objectives due to cultural resistance, leadership gaps, and skills deficits. The study concludes that digital innovation yields measurable performance gains only when strategically aligned with organizational goals, leadership commitment, and continuous workforce upskilling.
Area: Department of Management
Author: Ahamed Kabir Pary1, Dr. Bharat Bhushan2
DOI: MJAP/05/0038
Abstract:
The exponential growth of digital food delivery services in India has transformed consumer dining habits, particularly in Tier-II cities of North India. This study examines consumer attitudes and behavioral intentions toward online food delivery platforms in cities like Chandigarh, Jaipur, Lucknow, and Dehradun. Employing the Technology Acceptance Model and Theory of Planned Behavior, this research investigates factors influencing adoption patterns among 385 respondents aged 18-45 years. Data collection utilized structured questionnaires and convenience sampling during January-March 2025. Results indicate that perceived ease of use, service quality, promotional offers, and delivery time significantly influence consumer satisfaction and reuse intention. The study reveals that 68.3% of respondents order food online at least once weekly, with average order values ranging from ₹350-₹500. Platform preference shows Swiggy (42.1%) and Zomato (39.7%) dominating the market. Statistical analysis demonstrates significant correlations between convenience motivation, price consciousness, and platform loyalty. Findings suggest that Tier-II city consumers prioritize value-for-money propositions and reliable delivery over premium features. This research contributes to understanding digital consumption patterns in emerging urban markets and provides strategic insights for platform operators targeting non-metropolitan regions.
Area: Department of Management
Author: Manmeet Jaggi1, Dr. Samta Jain2
DOI: MJAP/05/0037
Abstract:
Financial inclusion remains a critical challenge for Below Poverty Line (BPL) communities in India, particularly in urban slum areas where institutional barriers and socio-economic constraints limit access to formal banking services. This study assesses the effectiveness of policy-driven financial inclusion strategies implemented in Delhi's slum areas, examining the impact of initiatives such as Pradhan Mantri Jan Dhan Yojana (PMJDY), Direct Benefit Transfer (DBT), and microfinance interventions. Utilizing a cross-sectional research design, data was collected from 384 BPL households across five major slum clusters in Delhi through structured questionnaires and secondary government databases. The research hypothesizes that policy-driven financial inclusion initiatives have significantly improved banking penetration, digital payment adoption, and credit accessibility among BPL communities. Results indicate that while account ownership has reached 78.4%, active account usage remains at 43.2%, revealing a substantial dormancy challenge. Digital payment adoption stands at 34.7%, constrained by limited digital literacy and smartphone penetration. The study reveals significant gaps between policy objectives and ground-level implementation, particularly regarding financial literacy, last-mile connectivity, and sustained engagement with formal financial systems, necessitating targeted interventions for meaningful economic empowerment.
Area: Department of Commerce
Author: Nihar Ranjan Swain1, Dr. Nidhi Goenka2
DOI: MJAP/05/0036
Abstract:
Time-dependent partial differential equations (PDEs) represent fundamental mathematical frameworks for modeling dynamic phenomena across engineering, physics, and applied sciences. This research investigates the integration of analytical and numerical methodologies for solving complex time-dependent PDE systems, addressing computational efficiency and solution accuracy challenges. The study employs hybrid approaches combining finite difference methods (FDM), finite element methods (FEM), and analytical techniques including separation of variables and Laplace transforms. A comparative analysis framework examines convergence rates, stability conditions, and computational costs across different problem domains. Research hypotheses posit that coupled methodologies yield superior accuracy compared to standalone approaches, particularly for stiff and nonlinear systems. Results demonstrate that hybrid FEM-analytical methods achieve 23-37% improved accuracy for parabolic PDEs, while coupled FDM-spectral approaches reduce computational time by 18-29% for hyperbolic systems. The findings establish that adaptive coupling strategies optimize solution quality across diverse temporal scales and spatial domains, with stability criteria varying based on problem stiffness and nonlinearity. This research contributes validated frameworks for methodology selection in time-dependent PDE applications.
Area: Department of Mathematics
Author: Jaydev Rathod1, Dr. B V Padamwar2
DOI: MJAP/05/0035
Abstract:
Internal talent marketplaces have emerged as strategic human resource management tools for enhancing organizational agility and reducing employee turnover. This quantitative research investigates the relationship between internal talent marketplace implementation, organizational agility, and employee retention through empirical data collection from 312 organizations across multiple sectors. The study employed a cross-sectional survey design using structured questionnaires distributed to HR professionals and organizational leaders. Data analysis reveals significant positive correlations between talent marketplace adoption and reduced turnover rates (r=0.74, p
Area: Department of Human Resource
Author: G Mahesh1, Dr. Rajiv Thakur2
DOI: MJAP/05/0034
Abstract:
Natural product-derived heterocyclic compounds represent a cornerstone of modern pharmaceutical chemistry, offering remarkable structural diversity and pharmacological potential. This research investigates the synthetic strategies and pharmacological activities of heterocyclic scaffolds derived from natural sources including alkaloids, flavonoids, coumarins, and terpenoids. The primary objectives include examining contemporary synthetic methodologies such as Pictet-Spengler cyclization, Fischer indole synthesis, and multicomponent reactions for heterocycle construction, alongside evaluating their therapeutic applications. The methodology encompasses comprehensive analysis of published literature from peer-reviewed databases, utilizing comparative analytical approaches to assess pharmacological data. The hypothesis postulates that natural product-derived heterocyclic compounds demonstrate superior bioactivity profiles compared to purely synthetic counterparts due to their evolutionary optimization for biological target interactions. Results reveal that over 85% of FDA-approved drugs contain heterocyclic moieties, with nitrogen-containing heterocycles predominating in anticancer and antimicrobial therapeutics. IC50 values ranging from 0.12 to 16.79 µM were observed across various cancer cell lines for synthesized derivatives. Discussion elaborates structure-activity relationships demonstrating that electron-donating substituents enhance antioxidant potential while specific ring modifications improve target selectivity. In conclusion, natural product-derived heterocycles continue serving as privileged scaffolds for drug discovery, warranting continued exploration of their synthetic accessibility and pharmacological optimization.
Area: Department on Chemistry
Author: Dimple Singh1, Dr. Sushrita Patnayak2
DOI: MJAP/05/0033
Abstract:
Urban garden systems in India face escalating environmental challenges due to rapid urbanization, threatening ecological sustainability and public health. This research examines landscape sustainability practices and environmental hazard management strategies across Indian urban gardens through comprehensive data analysis. The study investigates soil contamination patterns, heavy metal accumulation, urban heat island mitigation, biodiversity conservation, and air quality improvements associated with urban garden interventions. It was hypothesized that well-managed urban green spaces significantly reduce environmental hazards while enhancing ecological resilience. Analysis of 262 urban green spaces across major Indian cities revealed that gardens provide cooling effects averaging 2.23°C within 347-meter radius, while reducing air pollutant concentrations by 20-30%. Heavy metal contamination assessment indicated chromium (81-751 mg/kg) and copper (2-180 mg/kg) pose significant health risks, necessitating systematic monitoring protocols. Results demonstrate that integrated landscape management combining native vegetation, soil remediation, and community participation effectively controls environmental hazards while promoting urban sustainability. The findings underscore the critical need for evidence-based urban planning policies prioritizing green infrastructure development, regular environmental monitoring, and stakeholder engagement to achieve sustainable urban futures in India's rapidly expanding metropolitan regions.
Area: Department of Management
Author: Bathala Greesma1, Dr. Amit Verma2
DOI: MJAP/05/0032
Abstract:
This research paper examines the literary depictions of old and new India through a cross-author analysis of V.S. Naipaul and Aravind Adiga, two prominent writers who have significantly shaped postcolonial representations of India. The primary objective is to analyze how these authors construct contrasting narratives of traditional and contemporary India through their distinctive literary perspectives. The methodology employed is qualitative comparative analysis utilizing textual examination of selected works including Naipaul's India trilogy and Adiga's The White Tiger. The hypothesis proposes that while both authors critique Indian society, Naipaul represents India through a diasporic lens of disillusionment with traditional structures, whereas Adiga portrays contemporary India's socioeconomic disparities through indigenous perspectives. Results indicate that Naipaul's portrayal emphasizes cultural stagnation, colonial remnants, and civilizational wounds, while Adiga highlights neoliberal India's class divisions, corruption, and the darkness-light binary. The discussion reveals that both writers employ distinct narrative strategies to represent India's transformation. The conclusion establishes that these complementary perspectives provide comprehensive understanding of India's postcolonial journey from traditional to globalized society.
Area: Department of English
Author: Seema Ekka1, Dr. Manvendra Prakash Mourya2
DOI: MJAP/05/0031
Abstract:
Ocimum sanctum, commonly known as Tulsi or Holy Basil, represents a significant medicinal plant in Indian traditional medicine systems. This integrated biotechnological study aimed to identify and evaluate bioactive constituents in O. sanctum leaves through phytochemical analysis, antioxidant assessment, and antimicrobial activity evaluation. Fresh O. sanctum leaves were collected and subjected to sequential solvent extraction using methanol, ethyl acetate, butanol, and n-hexane. Advanced analytical techniques including High-Performance Liquid Chromatography and Gas Chromatography-Mass Spectrometry were employed for constituent identification. Results revealed high total phenolic content (212.26±6.3 mg GAE/g) and flavonoid content (54.51±3.5 mg QE/g) in butanol extracts. Major bioactive compounds identified included eugenol, rosmarinic acid, ursolic acid, luteolin, and apigenin. The extracts demonstrated significant antioxidant activity with DPPH EC50 values ranging from 3.91±0.3 to 8.61±0.6 μg/ml. Essential oil analysis showed methyl eugenol (92.4%) and eugenol (2.4%) as predominant constituents. Antimicrobial assays revealed potent antibacterial activity against Staphylococcus aureus, Escherichia coli, and Pseudomonas aeruginosa with MIC values below 100 μg/mL. The integrated biotechnological approach successfully characterized O. sanctum as a rich source of therapeutic bioactive compounds with significant pharmaceutical potential.
Area: Department of Biotechnology
Author: Meenakshi Choure1, Dr. Poonam Verma2
DOI: MJAP/05/0030
Abstract:
The rapid advancement of Artificial Intelligence (AI) has significantly transformed healthcare
management by enhancing operational efficiency, clinical decision-making, and patient-centered
care. AI technologies including machine learning, deep learning, natural language processing, and
predictive analytics are increasingly being integrated into healthcare systems to manage complex
administrative, clinical, and logistical challenges. From an overall point of view, 34 scholarly articles
published during 2020 -2025 related to AI application in healthcare services have been utilized to
conduct this study. The study delve into various aspects of AI-driven solutions in areas such as
hospital resource optimization, patient flow management, clinical decision support systems, electronic
health record (EHR) management, disease prediction, revenue cycle management, and supply chain
automation through detailed literature review. Starting from theoretical analysis, the study has got
into deeper analysis of different articles used to present the review. Application of AI in different
fields of healthcare and their impact on patient’s delight has been studied. Lastly, limitations of the AI
enabled services have also been discussed. The article concluded with areas of improvement and
future studies related to AI application in health sector.
Area: Department of Management
Author: Kapil Maheshwari1, Dr. Anil Sharma2
DOI: MJAP/05/0029
Abstract:
Healthcare delivery is undergoing a revolution, and the role of Artificial Intelligence (AI) is one of the factors to consider, but nurses in developing countries do not fully understand and accept it. This paper assessed an educational intervention that would promote the knowledge and perceptions of staff nurses regarding AI in clinical practice at Raigarh, Chhattisgarh. The quasi experimental pre-post design was utilized using 120 tertiary care hospital staff nurses. It was proposed that there would be a marked improvement in AI knowledge and positive change in perception after the intervention. It was a four-week educational program, which included lectures, demonstrations, and practical sessions. A validated 30-item knowledge questionnaire and 25-item perception scale were used in the collection of data. Findings showed statistically significant mean knowledge increase of 14.32+ 3.45 to 24.67+ 2.89 (p= 0.001) and perception increase of 78.45+ 12.34 to 102.56+ 10.23 (p= 0.001). The users demonstrated improved knowledge about AI applications such as clinical decision support systems, predictive analytics, and automated documentation. The learning plan was also successful to enhance the AI literacy of nurses and create the positive disposition towards the integration of technology. The nursing workforce in India needs to be prepared to undergo digital transformation in healthcare through continuous professional development with priorities on AI competencies.
Area: Medical surgical nursing
Author: Punam Patel1, Dr. Nelson Jewas2
DOI: MJAP/05/0028
Abstract:
Addiction remains a critical public health challenge in India, affecting millions and straining healthcare systems. This study examines the influence of combined therapeutic strategies on recovery trajectories and psychological well-being in addiction treatment programs. The research investigates how integrating cognitive-behavioral therapy, pharmacotherapy, family therapy, and mindfulness-based interventions affects treatment outcomes compared to single-modality approaches. A mixed-methods design was employed with 240 participants across six rehabilitation centers in India, utilizing standardized assessment tools including the Addiction Severity Index and WHO Quality of Life-BREF. The hypothesis posited that combined therapeutic strategies would demonstrate superior outcomes in sustained recovery and psychological well-being compared to monotherapy approaches. Results indicated significant improvements in abstinence rates (68.3% vs 41.2%), reduced relapse episodes, and enhanced psychological well-being scores among participants receiving combined interventions. Statistical analyses revealed that integrated treatment approaches produced 47% better recovery trajectories over 12 months. Discussion highlights the synergistic effects of multimodal interventions addressing biological, psychological, and social dimensions of addiction. The study concludes that combined therapeutic strategies should be prioritized in Indian addiction treatment frameworks to optimize recovery outcomes and long-term psychological health.
Area: Department of Nursing
Author: Jenitha.T1, Dr. Surendra Goswami2
DOI: MJAP/05/0027
Abstract:
Chemotherapy-induced oral mucositis (CIOM) significantly impacts the quality of life in head and neck cancer patients, causing pain, difficulty in eating, and treatment interruptions. This comparative study evaluated the effectiveness of Yashtimadhu (Glycyrrhiza glabra) versus Triphala in managing CIOM and improving quality of life among 120 patients undergoing chemotherapy at a tertiary care hospital in India. Participants were randomly assigned to Yashtimadhu group (n=40), Triphala group (n=40), or control group (n=40) receiving standard care. The study employed WHO oral mucositis grading scale and EORTC QLQ-C30 quality of life questionnaire as assessment tools. Results demonstrated that Yashtimadhu significantly reduced mucositis severity (p
Area: Department of Nursing
Author: Pusa Ram1, Dr. Avdhesh Kumar Sharma2
DOI: MJAP/05/0026
Abstract:
Higher education students face unprecedented stress levels affecting their academic performance and
mental well-being. This empirical study investigates the efficacy of performing arts-driven
interventions as stress management strategies among university students in India. The research
employs a quasi-experimental design with 240 participants from three universities, divided into
experimental and control groups. Students in the experimental group participated in structured
performing arts activities including theatre, music, and dance over twelve weeks. The study
hypothesizes that performing arts interventions significantly reduce perceived stress levels and
enhance psychological well-being compared to traditional stress management approaches. Results
from standardized psychological assessments reveal statistically significant reductions in stress
scores among experimental group participants (p
Area: Department of Education,
Author: Mrinal Kumar Pathak1, Dr. Rajesh Kumar2
DOI: MJAP/05/0025
Abstract:
Through an interpretation of Elfriede Jelinek the Austrian writer/activist whose essays and plays establish the basis for the following e-text the analysis shows how the selected interpretations of female consciousness in Jelinek's literary works still is very crude in its approach. This paper intends to discuss the portrayal of female subjectivity, psychological fragmentation and the suppression of the feminine self under the capitalist and patriarchal social systems in [insert book name]. This is a qualitative analytical approach based on feminist literary criticism and close textual analysis of the major novels by Jelinek; namely, The Piano Teacher (Die Klavierspielerin), Women as Lovers (Die Liebhaberinnen), and Lust. The main hypothesis suggests that by means of female consciousness, Jelinek exposes the particulars of psychological disintegration women experience under patriarchal domination and systemic exploitation, where they learn to internalize oppression. The results, show that Jelinek is, in his novels, using concrete narrative methods such as fragmented prose, satirical remarks, and descriptions of sexual acts, to reveal the potential and final loss she represents for women, as a woman, the (deffuit) thing, through sexualization followed by destruction. Kindly note that this summary has its own words with different scripts of human form: The examination exposes the fact that the female figures of Jelinek are physically living in psychological petrifaction prisons with their heads brainwashed by maternal control, economic subjugation, and sexual objectification. To sum up, Jelinek's depiction of female consciousness can be considered a radical feminist perspective, forcing readers to not ignore the uncomfortable realities of gender relations and systemic oppression in the modern world.
Area: Department of English
Author: Amrita Singh1, Dr. Anil Kumar Singh2
DOI: MJAP/05/0024
Abstract:
Covering approximately 342,239 km2, Rajasthan is the largest state of India by area, and hosts an exceptionally diverse, yet relatively poorly understood, snake fauna shaped by its heterogeneous ecological landscape that encompasses arid/thinly vegetated desert scrub/grassland through to riparian floodplain. Gigantic snakes like the reticulated python (Malayopython reticulatus) are observed hereHighly urbanized regions with strong human habitation like the Kota district, in the Hadoti region along the Chambal River corridor, describe a more complex habitat matrix supporting high species diversity, including a number of medically-important snakes. Using a combination of field-based data, peer-reviewed literature, public institutional databases and government biodiversity reports, this paper investigates spatial distribution patterns, biological and behavioral ecology and venom variability among snake species documented in and around Kota, Rajasthan. Around 25 species of snakes have been recorded in the myriad of micro-habitats across the District, including scrublands, fields, riverine habitats and rocky plateaus. Of these, the four medically important species Najanaja (Indian cobra), Bungaruscaeruleus (common krait), Daboiarusselii (Russell's viper), and Echiscarinatus (saw-scaled viper) show remarkable interspecific variation in ecology, patterns of behavior, and venom composition. Natural historical studies based on known toxicology literature on specific components of venoms demonstrates venom composition can differ broadly between species, and this variation can also occur within a species and can result from ecological selective pressures and/or geographic isolation. This study emphasizes the need for regional herpetological surveys, antivenom optimization, and biodiversity conservation plans for the Kota region. The implications of the findings are a significant aspect of public health management and wildlife conservation policy in Rajasthan.
Area: Vineet Mahobia1, Dr. Ram Bhajan Kumawat2
Author: Vineet Mahobia1, Dr. Ram Bhajan Kumawat2
DOI: MJAP/05/0024
Abstract:
Covering approximately 342,239 km2, Rajasthan is the largest state of India by area, and hosts an exceptionally diverse, yet relatively poorly understood, snake fauna shaped by its heterogeneous ecological landscape that encompasses arid/thinly vegetated desert scrub/grassland through to riparian floodplain. Gigantic snakes like the reticulated python (Malayopython reticulatus) are observed hereHighly urbanized regions with strong human habitation like the Kota district, in the Hadoti region along the Chambal River corridor, describe a more complex habitat matrix supporting high species diversity, including a number of medically-important snakes. Using a combination of field-based data, peer-reviewed literature, public institutional databases and government biodiversity reports, this paper investigates spatial distribution patterns, biological and behavioral ecology and venom variability among snake species documented in and around Kota, Rajasthan. Around 25 species of snakes have been recorded in the myriad of micro-habitats across the District, including scrublands, fields, riverine habitats and rocky plateaus. Of these, the four medically important species Najanaja (Indian cobra), Bungaruscaeruleus (common krait), Daboiarusselii (Russell's viper), and Echiscarinatus (saw-scaled viper) show remarkable interspecific variation in ecology, patterns of behavior, and venom composition. Natural historical studies based on known toxicology literature on specific components of venoms demonstrates venom composition can differ broadly between species, and this variation can also occur within a species and can result from ecological selective pressures and/or geographic isolation. This study emphasizes the need for regional herpetological surveys, antivenom optimization, and biodiversity conservation plans for the Kota region. The implications of the findings are a significant aspect of public health management and wildlife conservation policy in Rajasthan.
Area: Department of Zoology
Author: Vineet Mahobia1, Dr. Ram Bhajan Kumawat2
DOI: MJAP/05/0024
Abstract:
Digital training interventions have emerged as transformative tools in contemporary sports science, revolutionizing how university-level athletes approach physical conditioning and skill development. This study investigates the effects of digital training interventions on physical conditioning, performance outcomes, and skill enhancement among university-level male athletes in India. The primary objectives include examining the impact of mobile applications, wearable technology, and video-based feedback systems on athletic performance parameters. A quasi-experimental research design was employed, utilizing a sample of 120 male athletes from various universities across India. Standardized fitness assessments, performance metrics, and skill evaluation tools were administered pre and post-intervention over a 12-week period. The hypothesis posited that athletes receiving digital training interventions would demonstrate significantly greater improvements compared to traditional training methods. Results revealed statistically significant improvements in cardiovascular endurance, muscular strength, agility, and sport-specific skills among the experimental group. Discussion indicates that digital interventions enhance training adherence, provide immediate feedback, and facilitate personalized programming. The conclusion suggests that integrating digital training technologies into university athletic programs can substantially optimize athlete development and competitive performance outcomes.
Area: Department of Physical Education
Author: Srishti Kanskar1, Dr. Poonam2
DOI: MJAP/05/0023
Abstract:
Climate change represents one of the most pressing global challenges, necessitating advanced computational approaches for accurate modeling and prediction. This study investigates the application of machine learning techniques in climate modeling, examining their effectiveness compared to traditional numerical methods. The primary objectives include evaluating deep learning architectures for temperature prediction, assessing ensemble methods for precipitation forecasting, and analyzing the computational efficiency of various algorithms. The methodology employs a comparative analytical design utilizing secondary data from major climate databases including NASA GISS and NOAA repositories. The hypothesis posits that machine learning models demonstrate superior predictive accuracy for short-term climate variables while maintaining computational efficiency. Results indicate that neural network-based approaches achieve 15-23% improvement in prediction accuracy for temperature anomalies compared to conventional statistical methods. Random forest and gradient boosting algorithms show particular promise for regional precipitation modeling with R² values exceeding 0.85. Discussion reveals that hybrid approaches combining physical climate models with data-driven techniques offer optimal performance. The conclusion emphasizes the transformative potential of machine learning in enhancing climate prediction capabilities while acknowledging limitations regarding long-term projections and interpretability challenges.
Area: Department of Computer Science
Author: Ms. Aarti Hans
DOI: MJAP/05/0021
Abstract:
Statistical convergence, introduced by Fast and Steinhaus in 1951, extends classical pointwise convergence by focusing on the behavior of the majority of sequence elements while disregarding a negligible set. This study examines the foundational properties, applications, and theoretical implications of statistical convergence within real analysis. Originally connected to summation of series, statistical convergence has evolved into a powerful tool, particularly useful when classical convergence methods such as pointwise, uniform, or almost sure convergence prove insufficient. We investigate how statistical convergence relates to these traditional methods, offering a comparative framework through theoretical exploration and practical examples. The methodology includes analytical approaches, comparative studies of convergence criteria, and applications in approximation theory. Our results highlight statistical convergence’s superiority in modeling sequences that frequently occur in measurement and computational processes. It proves especially beneficial where classical convergence fails to capture the underlying structure of sequences. The study underscores statistical convergence as a bridge between abstract theory and real-world problems, reinforcing its value in fields like calculus, topology, and functional analysis. Ultimately, this research affirms statistical convergence as a significant extension of classical theory, offering fresh insights into sequence behavior in mathematical analysis.
Area: Department of Mathematics
Author: Sushree Swagatika1, Dr. Badri Vishal Padamwar2
DOI: MJAP/05/0020
Abstract:
This study investigates the key determinants influencing employee retention in India's metal industry, a sector employing approximately 1.3 million people as of 2023. The research adopts a quantitative approach using a cross-sectional survey design with 450 employees from major metal manufacturing companies across India. The study examines five primary retention factors: compensation and benefits, workplace safety and environment, career development opportunities, work-life balance, and organizational culture. Results indicate that compensation emerges as the strongest predictor (β=0.542, p
Area: Department of Management
Author: Anil kumar Sharma1, Dr. Parag Sanghani2
DOI: MJAP/05/0019
Abstract:
The emergence of artificial intelligence has fundamentally transformed contemporary society, presenting unprecedented challenges to established human rights frameworks and ethical principles. This paper examines the intricate relationship between artificial intelligence technologies, ethical considerations, and fundamental human rights through an analytical lens grounded in international legal instruments and emerging regulatory frameworks. The research analyzes key legal developments including the European Union's Artificial Intelligence Act (2024), UNESCO's Recommendation on the Ethics of Artificial Intelligence (2021), and the Council of Europe's Framework Convention on AI and Human Rights (2024), alongside foundational human rights instruments such as the Universal Declaration of Human Rights. The analysis reveals critical tensions between technological innovation and human rights protection, particularly concerning privacy, non-discrimination, freedom of expression, and algorithmic accountability. This paper argues that effective governance of AI requires a human-centric approach anchored in international human rights law, supported by robust regulatory mechanisms, and informed by ethical principles that prioritize human dignity, transparency, and accountability in AI system lifecycles.
Area: Department of Law
Author: Ankita Shukla1, Dr. Shameem Ahmed Khan2
DOI: MJAP/05/0018
Abstract:
Climate change poses an existential threat to sustainable development, necessitating urgent legal and policy interventions. Carbon credits have emerged as a pivotal market-based mechanism to mitigate greenhouse gas emissions while promoting economic efficiency. This paper examines the legal and policy dimensions of carbon credit systems within international and domestic frameworks, with particular emphasis on India's legislative developments. The study analyzes the evolution from the Kyoto Protocol's Clean Development Mechanism to the Paris Agreement's Article 6 framework, and India's Energy Conservation (Amendment) Act, 2022, which established the Carbon Credit Trading Scheme. The research evaluates the regulatory architecture, institutional mechanisms, and challenges in operationalizing carbon markets. Through doctrinal analysis and examination of verified legal instruments, this paper demonstrates that while carbon credits present significant opportunities for climate action and sustainable development, their effectiveness depends on robust regulatory frameworks, transparency, and integration with broader climate policies. The findings underscore the need for strengthened legal mechanisms to ensure environmental integrity and equitable participation in carbon markets.
Area: Department of Law
Author: Madhav Kale1, Dr. Shameem Ahmed Khan2
DOI: MJAP/05/0017
Abstract:
The development of advanced luminescent materials for high-performance display devices has gained significant attention in recent decades. Rare-earth activated phosphors, particularly Eu³⁺ and Tb³⁺ doped aluminates, show sharp emission lines, long lifetimes, and high color purity. Thermal quenching at elevated temperatures, however, remains a critical limitation for practical applications. In this study, Eu³⁺ and Tb³⁺ activated aluminate nanophosphors were synthesized via a sol–gel assisted solid-state reaction method. The samples were characterized by XRD, SEM, PL spectroscopy, and TGA to assess their structural, morphological, luminescent, and thermal properties. The aluminate host matrix provided high crystallinity and uniform dopant distribution. Co-doping with Eu³⁺ and Tb³⁺ facilitated energy transfer, resulting in enhanced up-conversion emission under near-infrared excitation. Notably, the phosphors retained over 80% of their room-temperature emission intensity at 500 °C, confirming excellent thermal stability. These results indicate the potential of Eu³⁺/Tb³⁺ activated aluminate nanophosphors for next-generation optoelectronic display devices, LEDs, and laser-based applications.
Area: Department of Physics
Author: Mrs. Rinku Lodh1, Dr. Aloke Verma2
DOI: MJAP/05/0016
Abstract:
Food preservation has become an integral component of modern food systems, with chemical preservatives playing a crucial role in extending shelf life and ensuring microbiological safety. However, the widespread use of synthetic preservatives has raised significant concerns regarding their potential adverse effects on human health. This comprehensive review examines the landscape of chemical food preservatives, including sodium benzoate, nitrites, nitrates, sulfur dioxide, sorbic acid, and various other additives commonly employed in the food industry. Through systematic analysis of recent literature spanning 2012-2024, this study investigates the mechanisms of action, applications, and health implications of these preservatives. Evidence suggests that chronic exposure to chemical preservatives may be associated with oxidative stress, gut microbiota dysbiosis, genotoxicity, carcinogenic potential, and various metabolic disorders. The review also explores emerging alternatives, including natural preservatives derived from essential oils, spices, and plant extracts, which demonstrate promising antimicrobial properties with reduced toxicological concerns. This meta-analysis synthesizes findings from toxicological studies, epidemiological research, and mechanistic investigations to provide a comprehensive understanding of the risk-benefit balance in food preservation practices and inform future regulatory guidelines.
Area: Department of Chemistry
Author: Sulochana Nayak1, Dr. Sushreeta Patnaik2
DOI: MJAP/05/0015
Abstract:
The twenty-first century has experienced a high pace of industrialization, urbanization, and uncontrolled use of resources, hence making environmental protection one of the most pressing issues of a global concern. Although most countries have implemented tough policies and laws on the environment, their success can largely be determined by the existence of consistent political goodwill. This paper is a critical analysis of how politics and the law interact in influencing environmental protection efforts, especially in India against certain international examples of the processes under consideration as the United States, the European Union, and China. India has passed laws that are very broad like the Environment Protection Act (1986) and the National Green Tribunal (2010) but its implementation is not uniform as it is hindered by bureaucratic inefficiencies, other developmental priorities, and a lack of political goodwill. Comparatively, the EU has maintained policy continuity with supranational binding targets, U.S. has experienced ups and downs due to change of political regimes and China has displayed speed in terms of implementation through centralized powers. The comparative study indicates that a high level of political will, institutional autonomy as well as binding obligations are critical to turn legal frameworks into viable environmental governance. The paper wraps up with the insights of the lessons that India can learn out of the international practices in order to augment its environmental policies and place the development objectives in terms of sustainability.
Area: Department of Political Science
Author: Sandeep Malik1, Dr. Mahendra Tiwari2
DOI: MJAP/05/0014
Abstract:
This study examines the comparative accuracy of different analytical approaches in pile test evaluation, focusing on static load testing (SLT) and dynamic load testing (DLT) methodologies. The investigation evaluates the effectiveness of various analytical techniques including Case Pile Wave Analysis Program (CAPWAP), pile driving analyzer (PDA) methods, and traditional static load testing approaches. A comprehensive analysis of 51 pile test cases reveals significant correlations between different testing methods, with dynamic-to-static load ratios averaging 0.9833. The methodology encompassed both driven and cast-in-situ piles tested across diverse soil conditions, utilizing standardized testing procedures as per ASTM D1143 and ASTM D4945 specifications. Results indicate that dynamic load testing with CAPWAP analysis demonstrates high accuracy in predicting static pile capacity, with correlation coefficients ranging from 0.77 to 0.92 depending on soil conditions and pile types. The study establishes that while static load testing remains the gold standard for accuracy, dynamic testing provides reliable results with significant cost and time advantages. The findings demonstrate that CAPWAP-derived capacities are typically 1.06 to 1.15 times static capacities, indicating conservative yet reliable predictions. These results contribute to optimizing pile testing strategies by providing engineers with validated correlation factors for different analytical approaches, thereby improving foundation design efficiency while maintaining safety standards in geotechnical engineering practice
Area: Department of Civil Engineering
Author: Bishwjeet Kumar Chandan1, Mrs. Kamini Laheriya2
DOI: MJAP/05/0013
Abstract:
Ground improvement techniques have become increasingly crucial for enhancing the bearing capacity and reducing settlement of weak soils in geotechnical engineering applications. This study investigates the effectiveness of stone column technique reinforced with jute geotextile for soil improvement in soft clay conditions. The research employs experimental and numerical analysis to evaluate the performance of conventional stone columns compared with jute geotextile-encased stone columns. The primary objectives include assessing bearing capacity enhancement, settlement reduction, and load-displacement behavior under various loading conditions. The methodology involves laboratory testing on soil samples with different reinforcement configurations, field investigations, and statistical analysis of performance parameters. The hypothesis postulates that jute geotextile reinforcement significantly improves stone column performance by providing lateral confinement and preventing bulging failure. Results demonstrate that geotextile-encased stone columns exhibit 60-78% improvement in bearing capacity and 45-67% reduction in settlement compared to conventional columns. The enhanced performance is attributed to increased lateral confinement, improved load transfer mechanism, and reduced column deformation. Statistical analysis confirms the significance of reinforcement parameters on overall performance. The study concludes that jute geotextile reinforcement presents an economical and environmentally sustainable solution for ground improvement, particularly suitable for Indian soil conditions where jute fiber availability and cost-effectiveness make it a viable alternative to synthetic geotextiles.
Area: Jayparkash Kumar1, Ms. Yamini Rai2
Author: Jayparkash Kumar1, Ms. Yamini Rai2
DOI: MJAP/05/0012
Abstract:
Abstract
This research paper explores the manifestation of existential themes in the dramatic works of Eugene O'Neill, the Nobel Prize-winning American playwright, and Girish Karnad, the acclaimed Indian dramatist. The study examines how both playwrights employ existentialist philosophy to explore the human condition, focusing on themes of alienation, authenticity, freedom, and the search for meaning in an apparently absurd universe. Through comparative analysis of their major works, this research demonstrates how O'Neill's psychologically penetrating American dramas and Karnad's mythologically rooted Indian plays converge in their exploration of existential crisis, despite their distinct cultural contexts. The methodology employs textual analysis, comparative literature approach, and existentialist theoretical framework to examine selected plays including O'Neill's "Long Day's Journey into Night," "The Iceman Cometh," and Karnad's "Tughlaq," "Hayavadana," and "Yayati." The results reveal that both playwrights present characters struggling with existential despair, the burden of choice, and the quest for authentic existence. The discussion highlights how O'Neill's autobiographical realism and Karnad's mythological revisionism serve as vehicles for existential exploration. The research concludes that both dramatists effectively demonstrate that existential themes transcend cultural boundaries, offering universal insights into the human predicament of existence in a seemingly meaningless world
Area: Performing Arts
Author: JSV Sivaprasaad Ji
DOI: MJAP/05/0011
Abstract:
Self-care awareness among healthcare practitioners has emerged as a critical factor in maintaining professional wellbeing and optimal patient care delivery. This cross-sectional study examined self-care practices, awareness levels, and associated factors among healthcare professionals across various specialties. The study aimed to assess the prevalence of self-care awareness, identify barriers to implementation, and evaluate the relationship between self-care practices and professional burnout. A quantitative methodology was employed using validated instruments including the Mayo Clinic Well-Being Index and Six Domains of Self-Care framework among 850 healthcare practitioners from multiple healthcare settings. The hypothesis posited that higher self-care awareness would correlate with lower burnout rates and improved professional satisfaction. Results revealed that 67.3% of participants demonstrated adequate self-care awareness, with physical self-care being most prevalent (61.7%) followed by relational (38.0%) and psychological domains (34.6%). Statistical analysis showed significant associations between self-care practices and reduced emotional exhaustion (p
Area: Department of Psycology
Author: Mullai Kodi Madesh1, Dr. Jayarani Manikandan2
DOI: MJAP/05/0010
Abstract:
Up‑conversion (UC) phosphors that can sustain high luminous efficiency at elevated temperatures are pivotal for next‑generation, high‑brightness display and projection systems that operate under intense photoexcitation and thermally stressful conditions. This journal describes the synthesis, structure–property relationships, and photophysical behavior of Eu³⁺‑ and Tb³⁺‑activated aluminate host lattices with a focus on thermal quenching resistance, color purity, and excitation flexibility. We discuss host platforms including SrAl₂O₄, BaMgAl₁₀O₁₇ (BAM), CaAl₁₂O₁₉ (CA₆), and related aluminate frameworks, and analyze energy transfer channels that enable anti‑Stokes (up‑conversion) emission by leveraging defect‑assisted sensitization, cooperative energy transfer, and cross‑relaxation pathways. A comparative evaluation of Eu³⁺ and Tb³⁺ emission manifolds, Judd–Ofelt intensity parameters, CIE colorimetry, thermal activation energies (ΔE) from Arrhenius fits, and photostability under continuous‑wave (CW) pumping is presented. Results reveal that properly engineered charge‑compensated sites, optimized dopant concentration (typically 0.1–5 mol%), and controlled grain‑boundary chemistry can suppress non‑radiative multiphonon losses and maintain ≥70–85% room‑temperature brightness at 423–473 K. The work outlines design rules and future directions for integrating thermally stable UC aluminates in micro‑LED backlights, laser‑excited phosphor (LEP) projectors, and augmented‑reality (AR) light engines.
Area: Department of Physics
Author: Mrs. Rinku Lodh1, Dr. Aloke Verma2
DOI: MJAP/05/0009
Abstract:
Rheumatoid arthritis is a chronic autoimmune disorder marked by progressive joint destruction and systemic inflammation. Current therapies are often limited by side effects and inconsistent efficacy, prompting interest in natural alternatives. Tephrosia purpurea L. (Sharapunkha), traditionally used in Ayurveda for inflammatory ailments, has shown promise against rheumatism and joint disorders. This study evaluated the anti-arthritic potential of hydro-alcoholic extract of T. purpurea leaves in Freund’s complete adjuvant (FCA)-induced arthritis in Wistar rats. It further assessed inflammatory biomarkers, safety through acute toxicity studies, and possible mechanisms of action. Acute toxicity was assessed following OECD 423 guidelines. Arthritis was induced in 36 male Wistar rats using FCA. Animals were orally treated with T. purpurea extract (200 and 400 mg/kg) for 21 days. Paw edema, arthritic score, inflammatory cytokines, biochemical indices, and histopathology were analyzed. The extract was safe (LD₅₀ >2000 mg/kg) and significantly reduced paw swelling, arthritic scores, and pro-inflammatory cytokines (TNF-α, IL-1β, IL-6). Histology confirmed reduced synovial inflammation and cartilage protection. The findings highlight T. purpurea as a promising natural therapeutic for rheumatoid arthritis.
Area: College of Pharmacy
Author: Shivam Shakiya1, Dr. Narendra Patel2, Mr. Firoz Khan3
DOI: MJAP/05/0008
Abstract:
Traditional knowledge systems have been fundamental to human healthcare for millennia, particularly in indigenous communities of central India. This ethnobotanical study was conducted in Sehore district, Madhya Pradesh, to document and analyze the diversity of medicinal plants and associated traditional knowledge among local communities. The research objectives were to inventory medicinal plants used by tribal populations, document traditional preparation methods, evaluate conservation status, and assess knowledge transmission patterns. A cross-sectional research design was employed using semi-structured interviews, field observations, and focus group discussions with 150 informants including traditional healers and community members. The study documented 89 medicinal plant species belonging to 82 genera and 44 families used for treating various human ailments. Trees constituted the highest proportion (43%) followed by herbs (33%) and shrubs (24%). Fabaceae, Asteraceae, and Lamiaceae were the most represented families. Results revealed that traditional knowledge is concentrated among elderly populations (65+ years) with limited transmission to younger generations. Statistical analysis showed high informant consensus factor (ICF) values ranging from 0.68 to 0.92 for different ailment categories. The study identified significant threats including habitat destruction, deforestation, and knowledge erosion. Conservation strategies and community-based documentation programs are urgently needed to preserve this invaluable traditional knowledge system for future generations and potential pharmaceutical applications.
Area: Department of Botany
Author: Bhawna Patidar1, Dr. Syed Shahab Ahmad2
DOI: MJAP/09/0007
Abstract:
India’s electric vehicle (EV) sector has shown rapid growth, with sales surpassing 2 million units in 2024 a 24% increase from 2023 and capturing 8% market share, up from 6.8% the previous year. This review explores India’s evolving EV landscape by assessing technological advancements, policy frameworks, and barriers to adoption. Regional disparities remain prominent: Uttar Pradesh contributed 19% of national EV sales, followed by Maharashtra (12%) and Karnataka (9%). The market is dominated by two-wheelers, which accounted for nearly 1.2 million units and 92% of total EV sales in 2024. Government support has been pivotal through initiatives such as the FAME-II scheme with an allocation of ₹11,500 crore, Production Linked Incentive (PLI) programs, and rapid expansion of charging networks, which reached 25,202 public stations by December 2024. Despite progress, challenges persist, including high upfront costs, inadequate rural charging infrastructure, range anxiety, and low consumer awareness. Drawing on literature reviews, government data, and industry reports from 2019–2025, findings indicate the EV market is projected to grow at a 22.4% CAGR, reaching USD 117.78 billion by 2032. The study concludes that while supportive policies and innovation drive growth, overcoming cost and infrastructure barriers is crucial to achieving 30% EV penetration by 2030.
Area: Department of EVS
Author: Electric vehicles India1, FAME Scheme2, Charging Infrastructure3, EV Adoption Barriers4, Sustainable
DOI: MJAP/09/0006
Abstract:
The influx of AI is changing the face social media from a content creation, targeting and moderation standpoint with updates across major platforms. This has dramatically boosted efficiency and engagement through the strength of AI with personalized user experiences, advertising strategies optimization and content management automation. However, AI also brings with it significant challenges such as bias, echo chamber formation and creation of new rumors. And of course, time and privacy are the complicating factors — (broader concerns also. arise) about how our faces can be used to track us through the world against job prospects or even from public protests. How to address these challenges, as well harness AI capability is critical in the fast-changing social media landscape where maintaining trust and ethical standard amidst respecting users' privacy are primary concerns.
Area: Department of Mechanical Engineering
Author: Brij Bhan Singh1, Dr. Prashant Singh2
DOI: MJAP/09/0005
Abstract:
To research the effect of web-based entertainment on youth, this study used a quantitative exploration strategy with a regulating review procedure. The discoveries uncover that web 2.0, which incorporates stages like WhatsApp or Facebook and Instagram is exceptionally coordinated into the everyday existence of youngsters where advantages incorporate more prominent availability with more extensive companions organizations; enhanced opportunities for career advancement as well improved ways to help self-expression in youth civic engagement and personal identity development. The majority of respondents use these businesses regularly from a mobile device. Anyway, the concentrate additionally recognizes significant downsides. Overuse of digital recreation was also associated with social isolation, reduced live interpersonal interactions and a shift in focus from academic interests to the electronic domain. Anything from cyberbullying to protection dangers and habit are typical Issues. The analysis of socio-segment shows that the majority clients are male, and aged 18-24 with student. Additionally, the review includes the impact of web based amusement on personal life (e.g., its effects for physical work, focus and family time). Despite the many advantages brought about by virtual entertainment, it is also important to take into consideration its negative effects so that an appropriate balance can be struck between online and offline life in young people. The review highlights the need for ways that harness the benefits of streaming while mitigating its harmful effects
Area: Department of Management
Author: Swati Singh1, Pratik Singh2
DOI: MJAP/09/0004
Abstract:
This qualitative study explores contemporary management practices adopted by organizations navigating digital transformation in Indian contexts. The research investigates how managers understand, implement, and experience digital management practices amidst technological disruption. Employing a qualitative exploratory design, the study conducted in-depth semi-structured interviews with thirty-four managers from diverse industries including information technology, manufacturing, healthcare, financial services, and retail sectors across major Indian cities. Thematic analysis revealed five major themes: digital leadership competencies and strategic vision, agile management integration challenges, remote work adaptation struggles, data-driven culture development, and continuous learning imperatives. Findings demonstrate that successful digital transformation requires balancing technological proficiency with human-centric approaches, fostering organizational cultures embracing change and innovation, and developing adaptive leadership capabilities. Participants emphasized that inadequate change management, cultural resistance, and insufficient digital competencies constitute primary implementation barriers. The study concludes that contemporary management practices must integrate strategic vision, collaborative leadership, employee engagement, and iterative learning processes to navigate digital disruption effectively. These insights provide valuable guidance for Indian managers implementing digital transformation strategies while contributing to theoretical understanding of management practice evolution in digital contexts.
Area: Department of Management
Author: Uday Pratap Singh
DOI: MJAP/09/0003
Abstract:
This review focuses on the application of AI tools to detect phishing sites, concentrating specifically in calculations such as Arbitrary Backwoods (LR), XGBoost, Simplistic Bayes (NB), Support Vector Machine(Bolstered vector machine). The study reminiscences the importance of comprehensive data preprocessing which consists, different precursory procedures like cleaning, extraction and standardization to improve the predictive accuracy and robustness of models. Among the tried methodologies, Angle Helping accomplished 97.6% precision which shows its strength in phishing identification and Guileless Bayes recorded the least exactness at 60.5%. Results show the fundamental role of selecting appropriate AI models and preprocessing methods to enhance phishing detection systems. This represents a significant advancement over traditional methods, especially in dealing with happy hour phishing attacks and managing restrictive data sets, providing an effective solution to enhance cyber security.
Area: Department of Aeronautical Engineering
Author: Pooja Singh1,Hrishita Maurya2
DOI: MJAP/09/0002
Abstract:
Taking the context of Kerala into account, this study investigates motivations and barriers for RL adoption as well benefits in plastic recycling units (PRU). Through different statistical analysis, the study finds that economic factors are more determinants of urban recycling units while environmental and social concerns drive rural units. There are differences by region in the barriers to RL adoption, with urban units experiencing HR and organizational challenges, while rural units face technological obstacles. RL practices result in a variety of benefits; urban units achieved improvements in relationship with stake holders, cost effectiveness and social advantages while environmental gains for rural beneficiaries. The results highlight the heterogeneity of RL practices in Kerala and this could serve as a fundamental stepping-stone for shaping policy environment, directing future investments even promotional activities on recycling towards addressing requisite needs of rural/urban cycles so that comprehensive solution may be tailored with reference to tackling grinding waste management woes from across the state.
Area: DEPARTMENT OF AERONAUTICAL ENGINEERING
Author: BRIJ BHAN SINGH
DOI: MJAP/09/0001