Category Archives: Uncategorized

Authors: Ankit Kumar, Bhuvaneshwaran V, Maheshwaran C, Thulasidass M

Abstract: Modern e-commerce platforms contain millions of products, making it increasingly difficult for customers to discover products that match their individual requirements. Traditional recommendation systems primarily depend on collaborative filtering, product popularity, or keyword-based search. Although these techniques are useful, they may perform poorly when users have limited interaction histories, when products are newly introduced, or when customers express their requirements using natural language.This paper presents ShopMind AI, an intelligent e-commerce recommendation and semantic search framework designed to combine multiple sources of information within a unified per-sonalization architecture. The proposed framework integrates user preferences, historical interactions, product attributes, behavioral signals, semantic product representations, and con-textual search information. A hybrid recommendation strategy combines collaborative signals, content-based similarity, pop-ularity information, and semantic similarity. In addition, a transformer-based semantic representation layer enables users to search for products using natural-language descriptions rather than relying exclusively on exact keyword matching. The architecture also supports product comparison, price-related information, personalized recommendations, explain-able recommendation signals, and scalable vector-based re-trieval. The paper describes the system architecture, data-processing pipeline, recommendation model, semantic-search mechanism, evaluation methodology, scalability considerations, and potential future improvements. The proposed framework is intended to provide a practical foundation for developing more intelligent and user-centered e-commerce applications.

DOI: https://doi.org/10.5281/zenodo.23263005

Published by: vikaspatanker

Authors: Yusuf Ahmad, Lucia D Ambruoso, Pamela Abbotta

Abstract: – Background: Health research widely promotes community engagement and involvement, yet no previous studies have examined approaches, operationalisation, and efficiency across disciplines and regions. Methods: We conducted a scoping review with Joanna Briggs Institute guidance and reported in line with PRISMA-ScR. We searched Google Scholar, MEDLINE, EMBASE and CINAHL, and sampled grey literature from relevant organisational websites. We included empirical health research and grey literature published in English (January 2015–June 2025). References were screened against the inclusion criteria, and relevant data were extracted and charted deductively against Arnstein’s Ladder of Citizen Participation. Results: No grey literature met the inclusion criteria. Twenty-four peer-reviewed publications were included. 16 engagement approaches were identified. Diverse, yet context-specific. There is a noteworthy overlap in approaches, designs and methods. 87.5% were qualitative, 8.3% quantitative, and 4.16% mixed-methods. 79.5% were used to report findings from a research project, and 21% were used to discuss the process and practice of community engagement itself. The evidence base was geographically concentrated in sub-Saharan Africa (n=18), with limited representation from Latin America and other LMIC regions. 87.5% have engagement consistent with “citizen power” (partnership, delegated power, or citizen control), with communities participating as partners or having substantial influence over the direction of engagement, yet tokenistic practices persist. Conclusions: CEI in LMIC empirical health research is feasible and often substantive, but reporting and evaluation are inconsistent, and equity gaps persist. A clearer taxonomy, transparent documentation of decision rights and resourcing, and pragmatic measures of CEI quality and impact are required.

DOI: http://doi.org/10.5281/zenodo.23255715

Published by: vikaspatanker

Authors: Mashiba Alfred Kalaba, Dr. C. Maria Ugin Joseph

Abstract: The study investigated the use of graphical methods by teachers when teaching coordinate geometry in Zambian secondary school to be specific in Chainda, Chalimbana and Chongwe secondary schools in Chongwe district Lusaka province. Coordinate geometry is an important topic in mathematics that connects algebra and geometry through graphical representations. However, many learners experience difficulties in understanding the topic due to abstract teaching approaches. The study examined how teachers apply graphical techniques, the challenges they encounter, and the effects of graphical methods on learners’ understanding. A descriptive research design was used. Data were collected from mathematics teachers and learners through questionnaires, interviews and classroom observations. Findings reveal that graphical methods improve learners’ conceptual understanding, engagement, and performance in coordinate geometry. However, limited teaching resources, insufficient teacher training and time constraints hinder effective use of graphical approaches. The study recommends increased teacher training, provision of teaching aids and integration of digital tools such as GeoGebra to enhance the teaching of coordinate geometry.

DOI: http://doi.org/10.5281/zenodo.23212369

Published by: vikaspatanker

Authors: K. Prathip, G. suresh

Abstract: This study evaluates the seismic response of a G+15 reinforced-concrete framed building for three geometric configurations: a setback building on level ground, a step-back building on 30° sloping ground, and a step-setback building on 30° sloping ground. Three-dimensional models were analysed in STAAD.Pro using the equivalent static lateral-force method and linear time-history concepts in accordance with the source study's IS 1893:2002 framework. The comparative assessment covers storey drift, storey shear, time period, displacement, and column actions including shear force, bending moment, torsion and axial force under critical load combinations. The results demonstrate strong sensitivity of seismic response to vertical and plan irregularity and to the change in column geometry caused by sloping terrain. The setback configuration develops comparatively larger tensile moments in several critical cases, while short columns in the step-back and step-setback configurations require particular design attention. The complete numerical result tables, response curves, model views and comparative plots from the project study are retained in this manuscript to support transparent comparison among the three configurations.

DOI: http://doi.org/10.5281/zenodo.23211320

Published by: vikaspatanker

Authors: Rohit Agnihotri.

Abstract: The rapid proliferation of cloud-native environments, decentralized workforces, and API-driven architectures has exposed critical limitations in conventional Identity and Access Management (IAM) systems. This article examines the emergence of Agentic Artificial Intelligence (AI)-driven IAM frameworks as a transformative paradigm for enterprise security. Drawing on empirical data from industry reports, peer-reviewed studies, and real-world deployment analyses, we evaluate the architecture, operational benefits, risk dimensions, and governance requirements of AI-powered IAM systems. Our findings indicate that agentic AI integration yields measurable improvements across breach detection (up to 87%), provisioning speed (82%), and compliance automation (91%), while simultaneously introducing novel challenges in auditability, model explainability, and adversarial robustness. We propose a multi-layered governance model and research agenda to guide responsible adoption.

DOI: https://doi.org/10.5281/zenodo.23209786

Published by: vikaspatanker

Authors: Renuka Kantilal Thange, Dr. Hitesh Sharma

Abstract: The rapid advancement of Artificial Intelligence (AI) is transforming professional photography by introducing intelligent systems that assist photographers in technical and creative decision-making. While AI-powered tools have significantly improved image enhancement and editing, limited research has explored their collaborative role in professional toddler photography, where creativity, lighting precision, child comfort, and safety are equally important. This study proposes a Human–AI collaborative framework that integrates intelligent lighting systems with the expertise of professional photographers to optimize lighting selection during toddler photography sessions. The research examines how AI-assisted recommendations can support decisions regarding natural, artificial, and hybrid lighting environments while maintaining the photographer's creative control. A mixed-method research design is proposed, involving professional photographers and parents to evaluate image quality, creativity, workflow efficiency, toddler comfort, and overall photographic outcomes. The study aims to demonstrate that Human–AI collaboration enhances decision-making rather than replacing professional expertise. The proposed framework contributes to intelligent photography practices by combining computational intelligence with artistic creativity and offers practical guidelines for integrating AI into professional toddler photography.

DOI: https://doi.org/10.5281/zenodo.23205864

Published by: vikaspatanker

Authors: Professor (Dr.) Lalith Kumar Dharavath

Abstract: Modern law enforcement agencies face the dual challenge of managing complex public safety threats while maintaining strict institutional accountability. This paper explores the integration of artificial intelligence (AI), automation, and advanced digital tools within modern policing frameworks. By analyzing current implementations—including predictive policing algorithms, automated facial recognition, automated license plate readers (ALPRs), and AI-driven evidence management systems—this study assesses how these technologies enhance operational efficiency, accelerate response times, and optimize resource allocation. Furthermore, the paper addresses critical systemic challenges, specifically targeting algorithmic bias, citizen privacy concerns, data security vulnerabilities, and the regulatory frameworks required to govern automated decision-making. Ultimately, this research provides a balanced framework for law enforcement executives and policymakers, demonstrating how agencies can leverage cutting-edge technical innovation while upholding the core principles of ethical, transparent, and community-oriented justice.

DOI: http://doi.org/10.5281/zenodo.23184750

Published by: vikaspatanker

Authors: Nweke James, Emenike Wami, Awajiogak Anthony Ujile, T.O. Goodhead

Abstract: This study investigates biogas production from water hyacinth (Eichhornia crassipes) through anaerobic co-digestion with cow dung in order to enhance methane yield and process stability. Experiments were conducted in 18.9 L batch digesters operated at 75% working volume, an organic loading rate of 3.5 g VS L⁻¹ day⁻¹, and a hydraulic retention time of 70 days under mesophilic conditions (29–38 °C). Six feedstock configurations were evaluated, comprising mono-digestion of water hyacinth and five water hyacinth–cow dung co-digestion ratios. Mono-digestion of water hyacinth produced 42.3 L kg⁻¹ VS, while the optimal 2:1 water hyacinth–cow dung ratio achieved the highest cumulative biogas yield of 54.9 L kg⁻¹ VS, representing a 29.8% increase. Biogas upgrading using a three-stage purification system (ferric oxide, sodium hydroxide, and silica gel) increased methane concentration from 60.05% to 86.02%, yielding a calorific value of 31.46 MJ m⁻³. Kinetic modelling based on coupled first-order hydrolysis and Monod microbial growth equations showed excellent agreement with experimental data (R² = 0.984, RMSE = 0.263 L). The results demonstrate that anaerobic co-digestion of water hyacinth with cow dung provides an efficient, environmentally sustainable pathway for renewable energy generation while simultaneously addressing aquatic weed management challenges.

DOI: https://doi.org/10.5281/zenodo.23182991

Published by: vikaspatanker

Authors: Professor (Dr.) Lalith Kumar Dharvath

Abstract: The Ancient Art of Modern Leadership in Ancient Banjaras Background: Modern organizational leadership frequently relies on westernized, bureaucratic, and highly structured frameworks. However, these models often struggle to address the complexities of community cohesion, agility, and decentralized resilience. The Banjaras—a historically nomadic community renowned for their intricate social governance, adaptive trades, and collective decision-making—offer a rich, yet understudied, repository of traditional governance strategies. Purpose: This paper examines the historical socio-political structures of the ancient Banjara community, focusing on their unique leadership models, such as the Naik (community head) system, customary councils (Tandas), and collective trust mechanisms. The study seeks to bridge the gap between historical heritage and contemporary management by extracting timeless principles embedded within Banjara governance. Methodology: Utilizing an ethno-historical and qualitative analytical approach, this research evaluates archival records, oral histories, and cultural frameworks of the Banjaras. These ancestral practices are cross-examined against modern leadership theories, including servant leadership, situational leadership, and crisis management. Findings: The study reveals that ancient Banjara leadership was fundamentally rooted in high emotional intelligence, adaptive resource management, and communal sustainability. Their ability to navigate geographic, economic, and political shifts while maintaining cultural and structural integrity serves as a powerful blueprint for modern leaders navigating volatile, uncertain, and complex (VUCA) global environments. Conclusion: Ultimately, this paper argues that the "ancient art" of the Banjaras is not an obsolete relic of the past, but a forward-looking paradigm. By integrating nomadic resilience, consensus-based authority, and ethical stewardship into contemporary frameworks, modern organizations can build more sustainable, agile, and human-centric leadership models.

DOI: http://doi.org/10.5281/zenodo.23181644

Published by: vikaspatanker

Authors: Professor (Dr.) Lalith Kumar Dharvath

Abstract: This paper provides a critical analysis of Systems Theory and Contingency Theory within the unique socio-economic landscape of India. Systems theory views organizations as open, interconnected frameworks where internal subsystems collaborate to process external inputs. Conversely, contingency theory argues that there is no universal management style, emphasizing that organizational success depends heavily on adapting to specific, changing environments. While both frameworks originated in Western corporate ecosystems, their application in India requires navigating a distinct blend of traditional hierarchy, family-led conglomerate structures, and immense regional diversity.Through a contextualized lens, this study explores how large Indian business houses utilize systems thinking to maintain corporate synergy across highly diverse portfolios. Simultaneously, it examines how the volatile, dual-speed Indian market forces managers to rely on contingency-driven management—vividly captured by the culturally embedded practice of Jugaad (frugal, situational innovation). The analysis reveals that rigid adherence to standardized corporate blueprints often fails in the Indian marketplace. Instead, the paper concludes that a hybrid framework—one that harmonizes the structural wholeness of systems theory with the agile, hyper-local flexibility of contingency theory—offers the most resilient roadmap for organizational sustainability and strategic growth in India.

DOI: http://doi.org/10.5281/zenodo.23181148

Published by: vikaspatanker