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501 articles for “Data Insights”
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Cracking the Code: A Study on Exploitable Weaknesses in QR Code Technology
Abstract: This study investigates the exploitable weaknesses inherent in quick response (QR) code technology, aiming to provide insights into potential security risks and mitigation strategies. QR codes, ubiquitous in modern society, serve various purposes ranging from marketing to authentication. However, their widespread utilization also renders them vulnerable to exploits by malicious actors. The research identifies common vulnerabilities such as data tampering, code injection, and phishing attacks, which can have significant consequences, …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 9–17 Read article
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Experimental Study of Roughness Analysis of AISI 316L Material using Fiber and CO2 LBM
Abstract: Laser beam machines have gained significant attention as a precise and versatile method for cutting and shaping materials in various industries. This study investigates the surface roughness characteristics of SS 316L, a commonly used stainless steel, when subjected to laser beam machining using both fiber and CO2 laser sources. The aim of this research is to compare the effects of these two laser types on the final surface finish of …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 12–21 Read article
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Advancements in Pneumonia X-Ray Image Detection: A Review
Abstract: Pneumonia remains a primary cause of morbidness and mortality worldwide, necessitating the continuous advancement of diagnostic techniques for timely and accurate detection. Pneumonia is common, it is potentially a life-threatening infection for respiration, poses significant challenges to healthcare systems worldwide. Recently, the arrival of deep learning techniques has stirred up the field of medical imaging, offering promising avenues for enhanced pneumonia detection. In this paper, the advancements in pneumonia detection …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 1–11 Read article
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A Comprehensive Review of Metabolite
Abstract: Metabolites, tiny chemicals, are essential to physiology, signalling, and biological function. This extensive review classifies metabolites into primary and secondary categories by biological relevance. Alkaloids, flavonoids, and terpenoids contribute to ecological interactions and defence systems, while amino acids, nucleotides, and carbohydrates directly affect development and cellular function. The article examines metabolic pathways, mass spectrometry, NMR, and metabolomics, a growing field. Metabolites play a crucial role in various scientific and practical …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article
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AI Powered Invention in Pharmaceuticals Boosting Innovation
Abstract: Artificial intelligence has the potential to transform the drug discovery process, making the process more efficient, accurate and faster. But the success of artificial intelligence depends on the availability of good data, resolution of ethical issues, and awareness of the limitations of artificial intelligencebased methods. The present article examined the benefits, challenges, and shortcomings of skills in the workplace and suggested strategies and practical actions to overcome current challenges. Data …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 102–107 Read article
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In Silico Assessment of Demethoxycurcumin: Molecular Docking and Computational Insights into its various therapeutic Potential
Abstract: Natural compounds are increasingly explored for their therapeutic potential in medical research. Here, we focused on demethoxycurcumin (DMC), a polyphenolic bioactive compound extracted from Curcuma longa, commonly found in turmeric. DMC, with a chemical formula of C20H18O5 and a molecular weight of 340 g/mol, possesses two aromatic ring systems, each featuring a β-diketone moiety connected by a seven-carbon chain. This unique structure allows DMC to engage in tautomerism, which is …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 9–15 Read article
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Advanced Computational Models for Predicting Molecular Interactions
Abstract: Understanding molecular interactions is essential for a number of disciplines, including biochemistry, materials science, and medication development. Traditional experimental methods, while accurate, are often time-consuming and expensive. Advanced computational models have emerged as powerful tools to predict molecular interactions efficiently. In order to predict the behavior and interactions of molecules at the atomic and subatomic levels, this paper reviews the most recent developments in computational techniques, such as machine learning …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article
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Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 Read article
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A Monte Carlo Simulation Approach to Decision Analytics in Manufacturing and Industrial Automation Project Management
Abstract: Manufacturing and industrial automation projects face high uncertainty and risk arising from factors such as complex supply chains, equipment variability, and fluctuating production demands. If not properly managed, these uncertainties can lead to costly delays, unplanned downtime, and budget overruns that jeopardize project success. Given the shortcomings of deterministic planning in such volatile environments. If not properly managed, it can lead to costly delays and failures if not properly managed. …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 1–12 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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Automating time based Household electricity Bill Calculations for Efficient Budgeting
Abstract: Recurrent household expenses must be precisely, in time, and openly tracked to make efficient household budgeting. Conventional monthly billing performance tends to delay the financial information, which results in the inefficient cash flow management and inability to modify short-term expenditure patterns. The proposed research is a system to automatize the calculation of household bills per week in order to deliver more frequent and practical insights into the household spending habits. …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 1–16 Read article
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Law Students and the Use of Technology: Transforming Legal Education in the Digital Era
Abstract: The legal profession is undergoing a digital revolution, making the integration of technology into legal education essential. Traditional learning methods are evolving with the use of digital tools, legal databases, AI-driven research, and virtual platforms, preparing future lawyers for a rapidly changing, technology-driven legal landscape. Traditional methods of legal study, which relied heavily on printed case law books and in-person moot courts, are now being supplemented with advanced digital tools. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 25–29 Read article
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Energy harnessing solution using a vertical axis wind turbine installed on the automotive rooftop.
Abstract: The transportation sector plays a major role in greenhouse gas emissions, prompting worldwide initiatives to mitigate its environmental effects. While the shift from internal combustion engines to electric vehicles is growing, it often merely shifts emissions rather than eliminating them, as fossil fuels continue to dominate energy production. A comprehensive solution requires universal access to renewable energy sources like wind, solar, and hydro power, which is currently impractical due to …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 1–21 Read article
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Targeting Dystrophin Restoration and Neuroprotection in Duchenne Muscular Dystrophy: Insights from Withania somnifera
Abstract: Duchenne muscular dystrophy is a genetic disorder. This disease affects men more common than women. Main objective of the present study was to identify the naturally active phytocompounds from Withania somnifera (Ashwagandha). Ashwagandha has a great value in the field of Ayurveda and Indian medicine and is used for treating muscular and neurological disorders. Toxicity prediction, molecular docking, statistical information, drug illness prediction, and Absorption, distribution, metabolism, excretion, and toxicity …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 64–84 Read article
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Exploring the Influence of Colors on Primary School Learning Environments: A Psychophysiological Perspective
Abstract: Primary schools are thought of as a child's first educational experiences and should be planned with a supportive learning environment that supports the desired learning goals. This study's primary goal is to investigate how colors, a significant visual component of design, affect a child's psychophysiological and behavioural characteristics. The impact of prolonged exposure to a monochrome classroom on primary education is examined in this study. Depending on how color is …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 01–23 Read article
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In Situ Investigation of Hemidesmus indicus Phytocompound Extracts as a Therapeutic Target for Acute Myeloid Leukemia
Abstract: Objective: Acute myeloid leukemia (AML) is an apoptotic condition in the hematopoietic system induced by the differentiation and maturation of stem cells into erythrocytes, and leukemic cell proliferation is suppressed as the PI3K-Akt-mTOR pathway is pharmacologically targeted with certain inhibitors. As a result, in silico molecular docking of compounds against AML receptors, CTMP, was used in computational research on Hemidesmus indicus to uncover therapeutic phytochemicals for AML. Thus, this study …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 1, 2024 · pp. 38–53 Read article
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Designing Engaging Interactive Animatronics: Strategies and Implementation Insights
Abstract: The field of animatronics uses robotic systems to imitate realistic movements and activities in mechanical figures. To enhance the recognition and performance of the animatronic as a relationship mediator, it is important that the animatronics in recreational games be perceived as human companions to create productive interaction scenarios. This study describes the design and implementation of a Java- based programming method, an Adriano microcontroller, an open environment, a depth camera …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 27–33 Read article
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Enhancing Safety Protocols in Industrial Operations
Abstract: Industrial safety is a crucial aspect of maintaining both operational efficiency and protecting the workforce in hazardous environments. Despite significant advancements in safety technologies and regulatory frameworks, industrial accidents remain a persistent problem, often leading to severe injuries, fatalities, and financial losses. Such incidents typically arise from a combination of factors, including human error, equipment malfunctions, and insufficient safety protocols. In response to these challenges, this paper examines key strategies …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
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Fundamental Analysis of Mid-Cap Stocks in the Indian IT Sector
Abstract: Fundamental analysis is also needed for the classification of financial assets (stocks, bonds, and currencies) using economic indicators or valuation methods to determine their true value. The present study focuses on mid-cap stocks in the information technology (IT) sector of the Indian market, which includes sectors such as software development, hardware manufacturing, semiconductors, IT services, internet and e-commerce, telecommunications, cybersecurity, and cloud computing. Mid-cap stocks may offer a good mix …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 1–11 Read article
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Gene Annotation of Cancer Vaccine for Homo sapiens
Abstract: Objectives: Gene annotation helps us to deduce the structural and functional aspects of a gene that encodes for a functional protein in our body. Thus, by determining the coding sequence and gene location we can derive meaningful insights as to what these genes do in our body. In this study, an unknown gene, cancer vaccine for Homo sapiens has been studied and annotated. Methods: This study was based on a …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article