Cloud Computing for Supply Chain Management and Warehouse Automation: A Case Study of Azure Cloud

In recent times, organizations are examining the art training situation to improve the operation efficiency and the cost of warehouse retail distribution and supply chain management. Microsoft Azure emerges as an expressive technology that leads optimization by giving infrastructure, software, and platform resolutions for the whole warehouse retail distribution and supply chain management. Using Microsoft Azure as a cloud computing tool in retail warehouse distribution and supply manacle management contributes to active and monetary benefits. At the same time, potential limitations and risks should be considered by the retail warehouse distribution and the supply chain administration investors. In this research summary of the cloud figuring tool, both public and hybrid in supply chain administration and retail, warehouse distribution is addressed. A brief introduction to the use of Microsoft Azure technology is provided. This is followed by the application of cloud computing to warehouse retail distribution and supply chain management activities. At the same time, the negative and positive aspects of familiarizing this Microsoft Azure technology in the modern supply chain and retail distribution are debated. Also, the circumstance for the third-party logistics services suppliers has indicated respect for automation and cybersecurity solutions in a cloud environment. Lastly, the upcoming research practices and following technological trends are offered as the conclusion

Big Data Analytics and Data Visualization in Shaping Supply Chain Industry: A Review

Technology is changing the way we live and organize our days. As the number of smart city projects grows, enhancing Supply Chain Management is a top objective in each smart city program. The study below describes how big data analytics and visualization tools have shaped the supply chain industry today. The different applications identified from big data analytics in the supply chain industry are reviewed as their impact and influence within the industry. The supply chain sector is shown to experience several challenges. Risks and unpredictability are shown to be the main problems. Big data analytics is, however, shown to be an effective tool for effective decision-making. Technology Acceptance Model is shown to inform and guide the entire research process

In Vitro Anti-microbial effect of various extracts of Ġokṣura (Tribulus terrestris) fruits on common pathogens causing Urinary Tract Infection

Introduction: The present study was carried out with an objective to investigate the antimicrobial potentials of various extracts of Gokṣura (Tribulus terrestris Linn.) fruits on common uropathogen strains. Material and Methods: Aqueous, ethanol, chloroform, petroleum ether extracts of fruits of Tribulus terrestris were evaluated for potential antimicrobial activity against certain uropathogen strains. The antimicrobial activity was determined in the extracts using agar well diffusion method. The antibacterial activities of extracts (5%, 10% and 15% w/v) of Tribulus terrestris were tested against Escherichia coli, Pseudomonas aeruginosa, Proteus mirabilis, Klebsiella pneumonia and Enterococcus faecalis.   Zone of inhibition of extracts were compared with that of standard drug Azithromycin 1 % w/v (Positive control) and DMSO(Negative control) for antibacterial activity. Observations and Results: Inhibition of the bacterial growth was shown against the tested organisms in all extracts but ethanol extract at 15% concentration showed highest activity against all pathogens. The phytochemical analyses of the plants were also carried out which was found to be similar to standard values of API. Conclusion: The results of this study showed that Tribulus terrestris possesses significant antibacterial activity against common uropathogens

Big Data and Internet of Behaviors (IoB): Its Nature and Importance in the World of KYC

With rapid digitalization, a novel concept called "Internet of Behaviors" (IoB) is emerging, where businesses can leverage large data gathered through IoT as a tool to affect people's actions. By the end of 2025, more than half of the world's population, according to Gartner, will be enrolled in the IoB program. The research below identifies how the Internet of Behaviors (IoB) can be integrated and used to change the world of KYC (Know Your Customer). The analysis identifies that KYC is a critical process, especially in finance. Financial organizations can use KYC to effectively manage the funds they receive by protecting the market from money obtained through fraud. The theoretical foundation shows that the research follows the TAM model. IoT, People, and IoE are identified as critical external factors that influence the way IoB can change the world of KYC. The study comes to the conclusion that KYC is directly impacted by IoB through the massive big data it gathers, which has a substantial impact on success in many modern firms

A Data-Driven AI Framework to Improve Urban Mobility and Traffic Congestion in Smart Cities

One of the most talked-about problems at the start of the twenty-first century is effective transportation, which is one of the numerous challenges the globe is experiencing. Technology is playing a critical role in helping to tackle the current transportation problems as smart cities evolve. Smart cities feature the modernized form of civilization worldwide as they leverage increasing technological advancement, including Artificial Intelligence, in running city initiatives alongside addressing urban challenges. Traffic forms a major challenge in urban development due to various factors, such as poor planning. The innovative approaches, exemplified by integrating shop and delivery options in smart cities, will alleviate traffic congestion challenges. This research study pinpoints the Actor-Network Theory (ANT) principles and pragmatism as the guiding approaches in the research and enhancing the integration. The data collection methods included in the research included interviews, reports, and media content essential for understanding the complex interrelations of smart city initiatives. As depicted in the data analysis, the ANT and pragmatic framework form the foundation of shaping the future urban landscapes

Data Ethics, Integrity, and Security in Shared Cloud Platforms

The current study describes how organizations can maintain data integrity and security in their shared cloud platforms. The literature review describes data integrity to be crucial in influencing the operations achieved by a business. This is attributed to effective decision-making from the data obtained from the shared cloud platform. This showcases the need for shared cloud platforms to promote their data integrity. The theoretical framework is effective and ensures that the entire research process has been guided by the framework selected. The findings in the study support that data integrity can be maintained through various methods and actions

A Clinical Trial to Evaluate the Efficacy of Topical Application of Modified Vijaya Oil in the Management of Vicharchika (Eczema)

Skin disorders have become a major threat in the present era due to the modern lifestyle and stressful living. References to skin diseases in Ayurveda are mostly seen under Kushtha. Vicharchika (Eczema) is one among them with Kapha predominance. The commonly used steroid therapy might lead to side effects. Thus, new topical treatments, such as Modified Vijaya oil, may be useful in reducing the requirement for chronic topical steroid therapy. Aim: To assess the efficacy of topical application of modified Vijaya oil in the management of Vicharchika (Eczema). Materials and Methods: An open-label clinical trial was conducted on 40 patients clinically diagnosed with Vicharchika (Eczema) and the oil was given for topical application for 30 days. The efficacy was evaluated in terms of changes in parameters like EASI (Eczema Area Severity Index), SCORAD (Scoring of Atopic Dermatitis), VAS (Visual Analogue Scale), and SIGA (Static Investigator Global Assessment) before and after the intervention, between Day 0 and 30. The data were collected and analyzed with Wilcoxon Test. Results: The topical application of modified Vijaya oil was found to be highly effective in reducing the symptoms of Vicharchika (Eczema). Conclusion: Modified Vijaya oil could be used in symptomatic relief of Vicharchika (Eczema), and also repairs and enhances the damaged skin

Development and Clinical Validation of RT-LAMP-Based Lateral-Flow Devices and Electrochemical Sensor for Detecting Multigene Targets in SARS-CoV-2

Consistently emerging variants and the life-threatening consequences of SARS-CoV-2 have prompted worldwide concern about human health, necessitating rapid and accurate point-of-care diagnostics to limit the spread of COVID-19. Still, However, the availability of such diagnostics for COVID-19 remains a major rate-limiting factor in containing the outbreaks. Apart from the conventional reverse transcription polymerase chain reaction, loop-mediated isothermal amplification-based (LAMP) assays have emerged as rapid and efficient systems to detect COVID-19. The present study aims to develop RT-LAMP-based assay system for detecting multiple targets in N, ORF1ab, E, and S genes of the SARS-CoV-2 genome, where the end-products were quantified using spectrophotometry, paper-based lateral-flow devices, and electrochemical sensors. The spectrophotometric method shows a LOD of 10 agµL−1 for N, ORF1ab, E genes and 100 agµL−1 for S gene in SARS-CoV-2. The developed lateral-flow devices showed an LOD of 10 agµL−1 for all four gene targets in SARS-CoV-2. An electrochemical sensor developed for N-gene showed an LOD and E-strip sensitivity of log 1.79 ± 0.427 pgµL−1 and log 0.067 µA/pg µL−1/mm2, respectively. The developed assay systems were validated with the clinical samples from COVID-19 outbreaks in 2020 and 2021. This multigene target approach can effectively detect emerging COVID-19 variants using combination of various analytical techniques at testing facilities and in point-of-care settings