Visionary Approach In Corporate Sector Of Internet Of Things

Authors: Prabal Kumar Joshi

Abstract: Internet banking is one of the unavoidable advancements in the Information technology revolution. The advancement of Information technology and the Internet led the way to the evolution of internet banking. Internet banking connects the customers and the bank through the Internet to access certain services provided by the bank. It is the application of technological advancements for bestowing the available financial information resources in electronic form. This technology advancement also renders opportunities for banks to quickly and efficiently deliver specific services to the customers at anytime from anywhere without the physical visit of consumers at the bank locations

DOI: http://doi.org/10.5281/zenodo.17019115

Enhancing Customer Experiences With AI-Enhanced Salesforce Bots While Maintaining Compliance In Hybrid Unix Environments

Authors: Ravichandra Mulpuri

Abstract: The growing demand for personalized, efficient, and secure customer interactions has accelerated the adoption of AI-enhanced Salesforce bots across industries. These bots integrate natural language processing, machine learning, and CRM intelligence to streamline engagement while adapting to user needs in real time. Their deployment in hybrid Unix environments provides enterprises with a balance of stability, scalability, and flexibility. However, ensuring compliance with global regulations such as GDPR, HIPAA, and PCI DSS remains a central challenge. This review explores the role of AI-powered Salesforce bots in enhancing customer experiences, examines compliance strategies within hybrid Unix systems, and highlights ethical, operational, and organizational considerations. Future directions emphasize the importance of compliance-by-design, secure integration, and industry-specific applications, positioning AI-driven bots as transformative tools in enterprise digital ecosystems.

DOI: http://doi.org/10.5281/zenodo.17189840

Qlik Sense On The Cloud: A Strategic Approach To Building Scalable BI Solutions On AWS And GCP

Authors: Raghav Iyer

Abstract: Cloud-based Business Intelligence (BI) is transforming how organizations access, analyze, and act upon data. Qlik Sense, a leading BI platform, leverages an associative in-memory data model, interactive dashboards, and scalable architecture to deliver actionable insights in real time. This review explores the deployment of Qlik Sense on cloud platforms, specifically AWS and GCP, emphasizing scalability, performance optimization, and integration with advanced analytics tools. Key topics include cloud-optimized data modeling, incremental ETL loading, dashboard tuning, and disaster recovery strategies. The article also highlights industry applications in finance, healthcare, and retail, demonstrating how cloud-based Qlik Sense supports operational efficiency, regulatory compliance, and decision-making agility. Challenges such as cloud cost management, latency, and governance are addressed with mitigation strategies including load balancing, auto-scaling, and security frameworks. Future trends in multi-cloud strategies, AI-driven analytics, serverless computing, real-time dashboards, mobile BI, and natural language interaction are discussed, positioning Qlik Sense as a forward-looking, intelligent BI solution. By implementing best practices in cloud deployment, data modeling, and dashboard design, organizations can maximize insight generation, enhance operational performance, and achieve sustainable growth through data-driven decision-making.

DOI: https://doi.org/10.5281/zenodo.17277422

The Qlik Sense Data Story: Creating Compelling Narratives From Complex Datasets To Drive Decisions

Authors: Ibrahim Rahman

Abstract: In the era of data-driven decision-making, organizations face increasing challenges in converting complex datasets into actionable insights. Qlik Sense, a leading self-service business intelligence platform, enables the creation of interactive dashboards and compelling data stories that empower analysts and decision-makers alike. This review explores the principles, techniques, and best practices for effective data storytelling using Qlik Sense, emphasizing the integration of advanced analytics, predictive modeling, and real-time interactivity. The paper begins with an overview of the evolution of data storytelling in BI and the unique capabilities of Qlik Sense’s associative in-memory model, which allows dynamic exploration and discovery of hidden patterns across multiple data sources. It then discusses foundational storytelling principles, the identification of key metrics, and methods for achieving visual and narrative cohesion. Advanced techniques such as set analysis, variables, triggers, and AI integration are examined to illustrate how adaptive and predictive narratives enhance decision-making. Industry-specific applications in finance, healthcare, and retail are analyzed through case studies, highlighting the platform’s versatility in diverse operational contexts. Challenges related to data quality, user adoption, and maintaining narrative clarity are addressed, alongside mitigation strategies and governance recommendations. Finally, emerging trends such as AI-assisted narrative generation, real-time streaming analytics, cloud integration, and multi-platform deployment are explored to provide forward-looking insights. By combining technical expertise, visualization best practices, and narrative design, this review demonstrates how Qlik Sense transforms raw data into actionable stories that drive informed, strategic business decisions.

DOI: https://doi.org/10.5281/zenodo.17277490

Network Modernization In Large Enterprises: Firewall Transformation, Subnet Re-Architecture, And Cross-Platform Virtualization

Authors: Shravan Kumar Reddy Padur

Abstract: Enterprises in the early 2000s relied on static perimeter firewalls, monolithic rule sets, flat subnetting structures, and heterogeneous operating platforms that were adequate for client–server models but quickly proved fragile under the accelerating demands of virtualization, mobility, and regulatory compliance. These limitations gave rise to the imperative of network modernization, a process that is far more than a routine technical refresh and instead represents a strategic transformation. Modernization encompasses the redesign of firewall policies into layered and abstracted models to reduce misconfiguration risks, the re-architecture of subnetting schemes into hierarchical and modular structures to improve scalability and control, and the orchestration of cross-platform upgrades that integrate virtualized and legacy systems while maintaining resilience. Drawing from research and practice between 2000 and July 2016, this article synthesizes how organizations adopted abstraction frameworks, distributed enforcement mechanisms, and virtualization-aware network interfaces to create adaptive infrastructures. Three representative figures are used to contextualize this transformation: (1) abstraction in firewall management, (2) virtualization-driven network interfaces, and (3) distributed firewall topologies. The analysis underscores that modernization is not a tactical exercise but a governed, programmatic shift that depends on repeatable processes, structured governance, and incremental execution to sustain long-term enterprise agility and security.

DOI: https://doi.org/10.5281/zenodo.17291987

Container Intelligence At Scale: Harmonizing Kubernetes, Helm, And OpenShift For Enterprise Resilience

Authors: Harish Govinda Gowda

Abstract: Containers have become the backbone of modern enterprise IT, providing portability, agility, and consistency across environments. However, scaling containers across hybrid and multi-cloud infrastructures requires more than orchestration—it demands governance, security, and resilience. This article explores how Kubernetes, Helm, and OpenShift can be harmonized to achieve container intelligence at scale. Kubernetes provides orchestration, Helm simplifies application deployment and lifecycle management, and OpenShift delivers governance, compliance, and enterprise-grade security. By layering these tools together, organizations can create resilient, scalable ecosystems that balance agility with trust. The discussion highlights key challenges in scaling containers, the role of each tool, and best practices for enterprise adoption, emphasizing that true resilience comes from harmonizing orchestration, management, and governance into one cohesive framework.

DOI: http://doi.org/10.5281/zenodo.16992539

Development Of Functionalized Schiff Base Derivatives And Their Role In Advanced Organic And Medicinal Chemistry

Authors: Janaki Ramarao Kasa, Dr. Chitra Gupta

Abstract: Due to their straightforwardness in synthesis, controllable electronic properties, high coordination abilities, and extensive biological importance, Schiff base derivatives concentrate greater importance and expertise in the research of organic and medicinal chemistry. The present study article surveys literature up to January 2016 so as to examine the impact of trends in functionalization on the chemical behaviour and medical uses of Schiff base antecedents. The research design used in the study is structured secondary research with the 60 peer-reviewed references published up to the beginning of the year 2016. The coding of these articles was by year of publication, structural classification, functional group modification, the ability to form metal-complex, biological use, and profile of activity reported. This was to identify the dominant research themes, gauge the major research treatment and interpretive uses, and to determine whether structural functionalization and metal coordination accepted superior performance. It has been disclosed that since 2010 and 2015, there was an increase in the number of studies published on Schiff bases, along with the most widespread types of use in the field were antimicrobial, anticancer, antioxidant, enzyme inhibitory, and chemosensing purposes. Schiff bases based on heteroaryl, quinoline, quinazoline, isatin, triazole and coumarin were particularly noticeable. Metal-complexed Schiff bases were found to be more commonly linked with DNA interaction, cytotoxicity and redox-based activity whereas metal free versions were more common in antimicrobial and enzyme-inhibition studies. Electron-withdrawing groups, incorporation of heterocyclic rings and the use of donor atoms like nitrogen and oxygen were always used to enhance reactivity and biological potential. The paper concludes that functionalized Schiff base derivatives were widely used as molecular platforms with twist before 2016 in selecting synthetic organic chemistry and coordination chemistry and medicinal chemistry, and the development of multifunctional therapeutics, molecular probes and catalytic systems used after 2016 builds off their earlier development.

Atmospheric Chemistry Of Greenhouse Gases And Their Role In Global Warming

Authors: Dr. Sarika Sharma

Abstract: Atmospheric chemistry plays an important role in the global climate system as greenhouse gases (GHGs) are involved in the Earth's climate system, radiation, and atmosphere. GHGs such as carbon dioxide (CO₂), methane (CH₄), nitrous oxide (N₂O), and halogenated compounds absorb infrared light and emit it in the atmosphere of Earth as greenhouse gases, and this is associated with the greenhouse effect. The heat in the lower atmosphere is retained, and global warming and the surface temperature of the Earth are increasing. As such, the chemistry of greenhouse gases depends on the concentration of atmospheric gases as well as their chemical composition, reactivity, lifetime, and interaction with solar and terrestrial radiation (e.g., photochemical reactions, oxidation processes, gas-aerosol interaction). For example, methane oxidation and nitrogen oxide cycles play an important role in ozone production and secondary radiative forcing, so that the chemistry of atmospheric chemistry and climate are interrelated. Since the 20th century, anthropogenic activities such as combustion of fossil fuels, industrial pollution, deforestation, and agricultural processes have increased the GHG levels in our atmosphere, thus adding to the natural greenhouse effect. However, CO₂ is the most important greenhouse gas present now, but it is not the only one that is responsible for warming, and other gases such as CH₄ and N₂O are essential in the global warming process as well. Atmospheric chemistry reveals that the greenhouse effect is not only dependent on CO₂, but many interacting gases are involved in the climate processes. Recent studies have also shown that changes in the composition of the atmosphere can lead to severe weather events, radiative forcing, and climate feedback loops, and the consequences can be dramatic for global warming. In any system for climate change, the interplay of greenhouse gases, aerosols, and chemical reactions in the atmosphere should be taken into account. From a global perspective, understanding the chemistry and nature of greenhouse gases is necessary to understand what is driving us toward global warming. The chemical properties and interactions of these gases are also useful in understanding how climate change must be countered in the long run and how to identify solutions to this problem for climate policy.

DOI: https://doi.org/10.5281/zenodo.19416017

Conversational Enterprises: LLM-Augmented Salesforce For Dynamic Decisioning

Authors: Ravichandra Mulpuri

Abstract: This article examines the transformative potential of integrating Large Language Models (LLMs) into Salesforce to create conversational enterprises capable of dynamic decisioning. It explores how natural language interfaces and AI-driven intelligence reshape CRM systems from passive repositories of customer data into active engines of contextual insights and guided action. The discussion highlights the evolution of Salesforce toward an augmented ecosystem that democratizes access to analytics, accelerates decision-making, and enhances enterprise agility. Key use cases across sales, service, marketing, and leadership demonstrate the breadth of impact, while architectural principles emphasize integration, governance, security, scalability, and user experience as foundational requirements. Challenges such as data quality, AI reliability, compliance, and cultural adoption are also addressed, underscoring the need for careful strategy and governance. Looking ahead, the article outlines future directions including autonomous decision support, multimodal integration, interoperability across federated cloud environments, and the emergence of new professional roles.

DOI: http://doi.org/10.5281/zenodo.16925791

Epidemiological And Environmental Drivers Of Dengue Fever: A Case Study Of Bareilly District, Uttar Pradesh India

Authors: Dr. Barkha

Abstract: Dengue fever is an emerging mosquito-borne viral disease and a significant global public health concern, particularly in tropical and subtropical regions. The present study investigates the dynamics of dengue fever in Bareilly district, Uttar Pradesh, India, with special emphasis on epidemiological patterns, environmental factors, and clinical manifestations. The study was conducted during the peak transmission period from August to October 2014 through surveys of ten hospitals and pathology laboratories. Data were collected on suspected and confirmed dengue cases, including variables such as age, sex, symptoms, and diagnostic methods. Blood samples were analyzed using ELISA, rapid diagnostic kits, and microscopy. The results revealed a considerable number of dengue cases across all age groups, with both males and females equally affected. Common clinical features included high fever and thrombocytopenia (low platelet count), while mortality remained below 1% due to timely medical intervention. Environmental and socio-economic factors such as rapid urbanization, poor waste management, water stagnation, and favorable climatic conditions (temperature, humidity, and rainfall) were identified as major contributors to dengue transmission. Comparative analysis with the 2010 nationwide.

DOI: https://doi.org/10.5281/zenodo.19448692

Fractional Differential Equations (FDEs) In Viscoelasticity Or Anomalous Diffusion

Authors: Jag Pratap Singh Yadav

Abstract: Classical diffusion models based on Fick’s law assume Brownian motion and local transport, leading to a mean squared displacement that grows linearly with time. However, many physical, biological, and engineering systems exhibit anomalous diffusion, where the mean squared displacement follows a power law in time rather than a linear relationship. Such behavior commonly arises in heterogeneous porous materials, crowded biological environments, polymeric systems, and disordered media, where long trapping times and memory effects invalidate standard integer-order diffusion equations. Despite significant progress in fractional modeling, there remains a need for mathematically consistent and computationally efficient formulations that clearly link the physical origin of anomalous transport to robust numerical implementation. In this paper, we develop a time-fractional diffusion model using the Caputo fractional derivative to represent memory-dependent transport induced by heavy-tailed waiting times. Starting from the conservation of mass and a constitutive relation with temporal memory, we derive a physically meaningful fractional diffusion equation. An analytical solution for a benchmark initial-boundary value problem is presented using Laplace and Fourier transforms, and a numerical approximation based on the L1 finite difference scheme is constructed. The stability and convergence properties of the numerical method are discussed. Numerical experiments demonstrate that the fractional order controls the transition from normal to subdiffusive transport and accurately reproduces power-law mean squared displacement behavior. The model captures anomalous transport with significantly fewer parameters than multi-scale classical alternatives. These results show that fractional differential equations provide an effective and parsimonious framework for describing memory-driven diffusion processes, with direct relevance to transport in porous media, biological tissues, and complex soft matter systems.

DOI: http://doi.org/10.5281/zenodo.70