American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS)
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The Impact of Microservices Architecture on System Scalability
Full text linkThis article analyzes the impact of microservices architecture on the scalability of information systems, drawing on theoretical foundations, practical experience from large-scale transitions (with a focus on Netflix as a case study), and contemporary performance optimization methods. The study includes a comparative analysis of monolithic and microservices-based approaches, highlighting the advantages of independent scalability, fault tolerance, and development flexibility. The methodology combines comparative analysis of publicly available research, case studies, and the evaluation of caching, load balancing, containerization, and monitoring tools. The findings show that integrating microservices architecture with modern management technologies significantly enhances the efficiency of distributed systems—an outcome that is increasingly vital to the advancement of the digital economy. The material presented will be of interest to researchers in the field of distributed computing, software architects, and IT infrastructure specialists seeking to improve system scalability through the adoption of microservices. The publication may also appeal to graduate students and professionals aiming to conduct in-depth theoretical and engineering analyses of dynamic, flexibly scalable solutions for modern computing systems
Core Concepts of Financial Reporting Automation in Corporations
Full text linkThe article presents a theoretical overview of the core concepts of financial reporting automation in corporations, with a focus on RPA, AI, ML, and NLP technologies. The study is conducted within an interdisciplinary paradigm that integrates digital finance, corporate governance, accounting, information technology, and regulatory compliance practice. The methodological basis is a qualitative comparative content analysis of domestic and international publications addressing the application of intelligent systems in financial modeling, variance analysis, planning, and report preparation. Automation approaches are identified and classified according to cognitive complexity, system architecture, and the degree of human involvement. Three analytical tables are provided: examples of AI use in auditing, a comparative review of the benefits and risks of RPA implementation, and the challenges and opportunities of AI in the financial domain. Based on empirical and conceptual data, the article demonstrates the effectiveness of a comprehensive “RPA + AI + Human-in-the-loop” model, ensuring interpretability, resilience, and regulatory compliance of financial reporting. The study highlights limitations related to the insufficient cognitive flexibility of RPA, algorithmic bias risks in AI, and the shortage of digital competencies among personnel. The article will be of interest to professionals in corporate finance, accounting process digitalization, auditors, developers of automated reporting systems, and executives responsible for financial function transformation in the digital economy
Time, a three-directional Dimension I
Full text linkThis paper revisits the concept of multidimensional time, extending discussions to incorporate orthogonal time dimensions ? and ? alongside the familiar linear t-axis, in resemblance to space and its intimate intertwinement with time. The presented framework explores how time\u27s multidimensional nature might interact with spatial dimensions and quantum phenomena such as superposition and entanglement. Rather than redefining the arrow of time, this work underscores the need to broaden our perspective on time as multidirectional. By questioning certain conventional views about time’s nature and representation, this model advocates for a forward-moving perspective that aligns with quantum mechanics. Though experimental validation remains a challenge, the model lays a foundation for further theoretical exploration and discussion
A Narrative Review on Multisensory Strategies for Enhancing Well-being of Pediatric Cancer Patients within Therapeutic Environments
Full text linkPediatric cancer is a complex and challenging illness that not only affects physical health but also profoundly impacts the psychological and emotional well-being of young patients and their families. This research aims to understand the mental conditions arising from physical illnesses of pediatric cancer patients and address their holistic needs. This narrative literature review examines the potential of a multisensory approach to enhance the well-being of pediatric cancer patients. By synthesizing existing research and evidence, this study explores various sensory elements such as visual, auditory, and tactile stimulation, and their role in improving patient outcomes. Furthermore, the review investigates the effectiveness of multisensory interventions to enhance the quality of living in hospitals, promote mental wellness, and reduce stress among pediatric cancer patients. Ultimately, the findings of this narrative literature review seek to inform healthcare professionals, policymakers, and researchers about the potential benefits of incorporating multisensory therapeutic approaches into pediatric cancer care
Verification of Design Solutions for Port Hydraulic Structures with the Use of Physical and Mathematical (Numerical) Simulation to Ensure Safety of Marine Terminals and Seaports
Full text linkThe article considers the possibility of verification of design solutions for port hydraulic structures with the help of physical and mathematical (numerical) types of simulation to ensure the safety of marine terminals and seaports, including under the impact of various natural phenomena. The features of these types of simulation are discussed, a brief description of the range of problems to be solved is given
Assessment of the Performance of the Pharmaceutical Supply Chain of Public Health Facilities: A Case of Tabora Region, Tanzania
Full text linkPerformance of the Pharmaceutical Supply Chain is a cornerstone to achieving universal access to Essential Medicines and Health Supplies (EMHS), however it is influenced by several factors. Several indicators have been developed to measure performance of the Pharmaceutical Supply Chain, making possible to identify areas of improvement for continuous transformation. This study aimed at assessing the performance of the Pharmaceutical Supply Chain in Tabora Region, Tanzania. Quantitative research approach was employed in a cross sectional descriptive study. A sample of 58 health facilities was selected using stratified sampling technique. Pharmaceutical supply Chain Performance was summarized using frequency Tables using weighted average score from quality, cost/financial, responsiveness and productivity indicators scores. The performance was classified using average score range that is <50% equals ‘low’ performance, 50% - 79% equals ’moderate’ performance, and >79% equals ‘high’ performance [49]. Logistics Information System Tools available at the facility was used to gather the information for indicator calculation. The public health facilities pharmaceutical supply chain performance with regard to all indicators was found to be Highly Performing at 82.5% score. The notable low performance in this assessment was order fill rate from MSD which was about 38.6% while efficiency in utilization of space, timely entry of received orders into registers, heath commodities availability rate, adherence to forecast and proper arrangement of inventories performed moderately. Furthermore, only 10% of surveyed facilities had adequate pharmaceutical personnel and 14% of surveyed facilities had adequate number of Laboratory personnel performing PSC activities.
Since majority of parameters are moderately performing with the exception of low order fill rate from MSD and few pharmaceutical personnel supervising supply chain activities. Therefore managers supervising the Pharmaceutical Supply Chain should pay particular attention in improving Prime Vendor System to fill the gap of MSD and improve the skills of task shifted non-pharmaceutical personnel supervising supply chain of Health commodities in public health facilities
Using AI Assistants to Enhance Information Security Efficiency
Full text linkThis article explores the potential of deploying virtual AI assistants to strengthen information security in light of the rapid evolution of digital technologies and the growing complexity of cyber threats. The study addresses the organizational aspects of implementing AI-based solutions—including threat notifications, user training, monitoring, and analytics—and the technical integration of such assistants with existing information security systems. This includes practical steps such as registering Telegram bots, leveraging Google Apps Script, and integrating with the OpenAI API. Special attention is given to challenges and limitations, such as technical vulnerabilities, false positives, ethical and legal considerations, and functional constraints in complex scenarios. The methodology is grounded in a review of findings from related studies. Results indicate that the integration of innovative AI-driven solutions holds strong potential for advancing the field of information security. Future research should focus on improving Explainable AI algorithms, enhancing the protection of transmitted data, and developing a regulatory framework to support such systems\u27 safe and ethical use. The insights presented in this article will be of particular interest to cybersecurity professionals, researchers, and systems architects focused on the development and deployment of AI-powered approaches for improving threat detection and mitigation mechanisms in information security
Tax Automation and its Implications for Non-residents and Foreign Entities
Full text linkThis study explores the advantages and challenges associated with tax automation for foreign individuals and entities engaged in business activities within the United States. The article examines the significance of tax automation in addressing the complexities of U.S. tax regulations and policies applicable to foreign individuals and entities earning income in the United States, whether directly or indirectly. Tax automation has provided valuable guidance in navigating the tax regulations for foreign individuals and entities to ultimately reduce compliance risks, improve work efficiency, and promote the rationality of tax planning. At the same time, tax automation opens up challenging issues of stability and security of technology, as well as the need for an enhanced competency of tax professionals to develop specialized expertise in matters relevant to foreign individuals and entities. The article addresses both the opportunities and challenges of tax automation for foreign individuals and entities by providing a series of measures, including a deeper analysis of activities that trigger U.S tax reporting requirements, and an understanding of the various tax forms needed throughout the tax process
Impact of Human Activities on Earthquake Occurrence- a Global Seismological Review
Full text linkHuman activities, such as large-scale fluid injection and withdrawal, reservoir impoundment, underground mining, geothermal energy extraction, and hydrocarbon extraction, affect the Earth’s crust. This is due to the increasing activities that are capable of perturbing the ambient stress field and triggering earthquakes, a term called induced seismicity. The global extent and relative impact of these anthropogenic drivers remain poorly quantified. This study synthesizes worldwide seismic occurrences to evaluate the impact of human activities and interventions on earthquake occurrence. Evidence shows that anthropogenic seismicity accounts for an estimated 6 ± 2 % of global shallow seismicity and dominates Mw 3–5 event rates in several intraplate regions, notably the central United States, western Canada, and parts of China. Fluid-pressure perturbations associated with wastewater disposal and geothermal operations account for 68% of the cataloged anthropogenic events, while reservoir impoundment and mining represent 21% and 11%, respectively. Evidence reveals that policy-driven reductions in injection volumes have decreased the occurrence of seismicity within three to five years. Conversely, emerging energy technologies (e.g., carbon capture and underground hydrogen storage) pose growing seismogenic risks if unmanaged. It is concluded that human activities contribute to earthquake occurrence, yet effective intervention and policies are mitigating the probable occurrence of earthquake
Automation of Research Master Data Management for Dataset Consistency
Full text linkThe article addresses the automation of master-data management in research organizations as a key prerequisite for dataset consistency and result reproducibility. The problem is pressing because of the growing volumes of heterogeneous data, the reproducibility crisis acknowledged by most biomedical researchers, and the considerable economic losses associated with manual cleansing and duplicated experiments. The study aims to justify and experimentally confirm the effectiveness of integrating FAIR principles with a multi-layer architecture for data intake, normalization, and golden record creation. The novelty is a holistic method that joins together cloud reference architectures, Data Mesh, and Landing Zone, probabilistic record linkage, graph embeddings, and active learning for dynamically adjusting confidence thresholds, thus reducing the burden imposed on experts while delivering continuous quality metrics. Automated MDM removes 37% data redundancy, reduces researchers’ time spent on cleansing to just 26%, and accelerates integration into machine-learning pipelines by close to one third; besides, it proves an actual economic effect visible already from the estimated annual cost reduction of at least EUR 10.2 billion in the EU. Some known shortcomings about the risk of wrong joins, old records, and people\u27s pushback against using machines will guide further research into changing thresholds, fixing past data issues, and improving human-machine links. This paper is for data-management workers, bioinformaticians, research project bosses, and information-system builders