Category Archives: Uncategorized

Authors: Abhishek Das

Abstract: Open, Fast, Yours: Building Custom Business CRMs On Linux For Complete Control Over Features, Costs, And Data.

DOI: https://doi.org/10.5281/zenodo.16880762

 

Published by: vikaspatanker

Authors: Rohit Iyer

Abstract: In an era where agility, transparency, and data ownership are increasingly critical to business success, traditional CRM platforms often fall short offering limited customization, escalating costs, and reduced control over sensitive customer data. This review explores how Linux-based CRM architectures are enabling businesses to break free from the constraints of proprietary systems by offering a fully customizable, cost-effective, and secure alternative. Through the lens of Unix philosophy and modern DevOps practices, the article examines the benefits of building CRMs from the ground up using open-source tools, scripting languages, containerized infrastructure, and modular APIs. It details the architectural components required to design flexible and scalable CRMs on Linux, including data storage, automation, front-end customization, and security hardening. Real-world use cases from startups, governments, and SMEs illustrate the transformative power of Linux CRMs in diverse environments from edge deployments to air-gapped systems. The article also outlines key challenges such as skill requirements and maintenance overhead, offering strategies for successful adoption. Finally, the review looks forward to future developments, including AI-driven CRM automation, federated models, and low-energy deployment options. Linux-based CRMs represent a pivotal shift toward software autonomy, allowing organizations to reclaim control over their features, costs, and data on their own terms.

DOI: https://doi.org/10.5281/zenodo.16880733

 

Published by: vikaspatanker

Authors: Rohan Kapoor

 

Abstract: As modern enterprises increasingly rely on customer relationship management (CRM) systems to drive personalized engagement, optimize sales pipelines, and maintain regulatory compliance, the limitations of proprietary SaaS-based CRM platforms have become more evident. These closed systems often enforce rigid data models, impose licensing constraints, and restrict customization resulting in high total cost of ownership and reduced operational agility. This review explores the emergence of Unix-based CRM architectures as a powerful alternative for organizations seeking to reclaim control over their customer operations. Rooted in the Unix philosophy of modularity, transparency, and scriptability, these CRM environments support composable system design, deep integration with business logic, and flexible deployment models across on-premises, cloud, or edge infrastructures. By examining architectural foundations, real-world case studies, performance scaling methods, and cost-efficiency analyses, this article demonstrates how Unix CRMs enable full ownership, robust security, and strategic freedom. It also discusses the trade-offs, such as technical skill requirements and UI complexity, while highlighting future trends in federated CRMs, AI-driven workflows, and green IT. Ultimately, Unix-based CRMs offer a transformative path forward for businesses seeking autonomy, scalability, and innovation without compromise.

DOI: https://doi.org/10.5281/zenodo.16880706

 

Published by: vikaspatanker

Authors: Nikita Patel

Abstract: As businesses operating in regulated, high-risk, or data-sensitive environments seek greater autonomy over their customer engagement platforms, Unix-based CRM solutions are emerging as viable alternatives to traditional SaaS offerings. This review explores the growing preference for self-hosted CRM architectures grounded in Unix design principles, particularly in industries such as healthcare, finance, defense, and government. Unlike SaaS CRMs, which often obscure infrastructure details and limit customization, Unix CRMs offer full-stack transparency, advanced access controls, and hardened deployment options. The article examines how Unix systems empower organizations with modularity, granular permission enforcement, immutable audit trails, and native support for secure automation. Through detailed architectural analysis and real-world use cases, it highlights how Unix-based CRMs align with key regulatory frameworks including HIPAA, GDPR, and SOC 2. Furthermore, the review outlines deployment patterns, observability practices, and disaster recovery strategies that enhance CRM resilience and compliance. Looking forward, it discusses how trends such as Zero Trust infrastructure, AI-assisted log analysis, and federated CRM standards will shape the future of security-centric CRM ecosystems. The conclusion underscores Unix CRM stacks as a strategic choice for organizations that prioritize data sovereignty, operational transparency, and long-term control.

DOI: https://doi.org/10.5281/zenodo.16880675

 

Published by: vikaspatanker

Authors: Harpreet Singh

Abstract: As organizations increasingly seek greater control, automation, and efficiency in their customer relationship management (CRM) platforms, traditional GUI-based and SaaS-centric CRMs are being re-evaluated for their limitations in scalability, customization, and data sovereignty. This review explores how Linux and Unix design principles—such as modularity, transparency, and command-line automation are transforming the CRM landscape. By leveraging tools native to Unix environments, including shell scripting, CRON scheduling, filesystem-driven data control, and infrastructure-as-code, businesses can construct CRM stacks that are lightweight, secure, and deeply integrated with real-time workflows. The study outlines the architectural patterns of modern Linux-based CRMs, their integration with ETL pipelines and observability tooling, and the advantages they offer in cost efficiency, sustainability, and operational independence. It also examines use cases across startups, enterprises, and regulated sectors, highlighting trade-offs and future trends such as decentralized CRM models, AI automation via CLI, and green IT deployments. This article positions Unix-driven CRM design as a forward-looking strategy for teams that prioritize automation, data ownership, and agility in a post-SaaS era.

DOI: https://doi.org/10.5281/zenodo.16880653

 

Published by: vikaspatanker

Authors: Labdhi Jain, Rajesh Dhakad Associate Professor

Abstract: In the current digital era, the volume of data produced every second is staggering, making it challenging for users to find relevant information. Recommendation systems utilize extensive data and data mining techniques to analyze large amounts of data and provide accurate, personalized sug- gestions. Recommendation systems are information filter- ing systems that provide particular suggestions for items that are most pertinent to a particular user or a group of users. The algorithms and methods used for recommender systems are Content-Based Filtering, Collaborative Filtering, and Hybrid Methods. Recommendation systems include diverse applications and domains such as books, e-commerce ser- vices, social network services, movies, and tourism services. Key evaluation metrics of different recommender systems are discussed to provide insights into the assessment of mod- els and the optimization of their performance. Globally, recommendation systems have become important. The pur- pose of this paper is to include and give knowledge of each method, from a traditional-based recommendation system to a deep learning-based recommendation system. By synthe- sizing current trends, challenges, and future research direc- tions, this paper offers a comprehensive understanding of the recommendation system for both researchers and industry professionals.

DOI: http://doi.org/

Published by: vikaspatanker

Authors: Dr. V.Vijayalakshmi, Dr. D. Sridevi, L. Mohan, N.Sundarakannan

Abstract: In Genomic analysis, a comprehensive theoretical study is the need of the hour. Genomic analysis is an elaborate network that comprises various, expendable data. Such data has to be organized leading to comprehensible, practical data which is used to extricate critical information. A feasible procedure called SILE (Search, Identification, Load and Exploitation), is applied to assimilated genomic data with appropriate alterations that is associated with a certain disease. The principal aim is to propose natural drugs for treatment to those patients diagnosed with the disease and this is achieved by substantiating genes that have mutated. In this research, triangular fuzzy numbers are incorporated by considering three symptoms for examining the genes.

Published by: vikaspatanker

Authors: Pankaj Kumar Yadav, Rashmi Dubey

Abstract: Biosurfactant-producing microbes have emerged as crucial agents in eco-friendly environmental remediation, particularly for cleaning up oil spills, heavy metal contaminants, and industrial pollutants. These naturally derived surface-active compounds, produced by bacteria such as Pseudomonas aeruginosa, Bacillus subtilis, and Rhodococcus erythropolis, exhibit high emulsifying activity, low toxicity, and exceptional biodegradability. The focus of this research is to evaluate how microbial biosurfactants contribute to environmental cleaning through mechanisms of emulsification, desorption, and biostimulation. Emphasis is placed on their structural diversity, metabolic pathways, and potential applications in oil spill mitigation, soil washing, and heavy metal recovery. Through a review of current studies, laboratory findings, and emerging field applications, this article investigates the comparative performance of biosurfactants against synthetic surfactants. It also explores genetic and process engineering strategies to enhance biosurfactant yields. The results point toward biosurfactant-driven bioremediation as a promising frontier for sustainable environmental management. The article concludes with future research directions, highlighting bioreactor scalability and regulatory considerations necessary for large-scale deployment. These insights underscore the transformative role of biosurfactant-producing microbes in redefining the future of green technology and environmental restoration.

DOI: http://doi.org/10.5281/zenodo.16871248

Published by: vikaspatanker

Authors: Vivek Kumar Ghosh, Kusum Singh

Abstract: Electronic waste (e-waste) bioremediation has emerged as a sustainable approach to manage the growing burden of discarded electronics. This study investigates microbial communities in e-waste bioreactors using metagenomic techniques to identify key species and functional pathways involved in metal recovery and detoxification. By deploying next-generation sequencing (NGS) and shotgun metagenomic approaches, we uncovered taxonomic diversity and biochemical functions encoded in the resident microbiota. Our results revealed a predominance of metal-resistant bacteria, including Pseudomonas, Cupriavidus, and Desulfovibrio species, which possess genes for metal reduction, transport, and biofilm formation. Functional annotation indicated the prevalence of resistance-nodulation-division (RND) transporters, metallothioneins, and oxidoreductases crucial for heavy metal sequestration. This study underscores the utility of metagenomics in unraveling complex microbial interactions and their adaptive strategies in hostile e-waste environments. Insights from this research can facilitate the engineering of microbial consortia tailored for enhanced metal recovery and minimal ecological impact. The findings also establish a foundational knowledge base for bioaugmentation practices in electronic waste treatment systems. Ultimately, the integration of omics-based techniques into environmental biotechnology can accelerate the development of efficient and eco-friendly waste valorization platforms.

DOI: http://doi.org/10.5281/zenodo.16871064

Published by: vikaspatanker

Authors: Raghavendra Kumar, Smita Tiwari

Abstract: Microbial communities inhabiting contaminated ecosystems often develop complex resistance mechanisms to survive toxic environmental stressors. Understanding the molecular basis of this resistance is essential for ecological risk assessment and the development of bioremediation strategies. CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) technology, originally discovered as an adaptive immune system in bacteria and archaea, has emerged as a transformative tool for functional genomics and microbial ecology. This study explores how CRISPR-based approaches can elucidate microbial resistance mechanisms in polluted habitats, including heavy metal-rich soils, industrial effluents, and pesticide-contaminated farmlands. Using CRISPR interference (CRISPRi) and activation (CRISPRa), researchers can selectively knock down or upregulate microbial genes linked to metal ion transport, oxidative stress response, and efflux pump regulation. Metagenome-assembled genomes (MAGs) in tandem with CRISPR screens provide a robust framework to map resistance pathways at the community level. This article presents an overview of current CRISPR applications in microbial resistance research, evaluates their ecological implications, and highlights their potential to inform biotechnological interventions for ecosystem restoration. By integrating gene-editing precision with metagenomic profiling, CRISPR tools open new avenues to monitor, model, and modulate microbial responses to contamination.

DOI: http://doi.org/10.5281/zenodo.16871016

Published by: vikaspatanker