Search
1977 articles for “Event Chain Methodology (ECM)” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
Nothing matched all of your words, so these match any of them.
-
Exploring the Potential of Allium sativum Phytocompounds as B-Cell Leukemia 2 Inhibitors in Acute Lymphoblastic Leukemia: Molecular Docking Study
Abstract: Objective: Acute lymphoblastic leukemia (ALL) is a lymphoid progenitor cell malignancy that could be treated with plant-based drugs, thus alleviating the off-target effects caused by conventional chemotherapy. Since ancient days, Allium sativum has been an integral part of traditional medicine and an excellent antimicrobial, antioxidant, and antiproliferative agent. Hence, this study aims to assess the anti-leukemic potential of A. sativum phytoconstituents as the B-cell leukemia 2 protein (Bcl-2) natural inhibitor …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 53–80 Read article
-
Effectiveness of Concrete Retrofitted with FRP Wrapping Subjected to Higher Temperature
Abstract: This work aims to provide additional insight into the behavior of fiber-reinforced polymer (FRP) laminates at high temperatures. The compressive properties of concrete coated in fiber-reinforced polymer (FRP) under elevated heat levels. The study addresses the important issue of assessing the performance of structural elements, specifically concrete columns, in the event of a fire. Recently, there has been increased interest in fiber-reinforced polymer (FRP) composite materials as a possible concrete …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 17–28 Read article
-
Exploring the Development of AI Models Using Open-Source Tools to Predict Patient Outcomes and Optimize Treatment Plans
Abstract: Integrating artificial intelligence (AI) into healthcare offers a transformative opportunity to enhance patient care and clinical decision-making. Through the use of predictive analytics, AI can significantly enhance the accuracy of outcome predictions and assist in developing personalized treatment plans that cater to each patient’s specific needs. This paper delves into the development of AI models using open-source tools, which are increasingly favored for their accessibility, collaborative nature, and capacity for …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 37–49 Read article
-
Trends in Computer Programming and Language
Abstract: The field of computer programming has undergone significant transformations driven by evolving technologies, increasing demand for more efficient software solutions, and the continuous need for enhanced system performance. This paper examines the latest trends in programming languages and methodologies that are influencing the future of software development. Key trends include the rise of functional programming paradigms, the growing importance of concurrent and parallel programming to handle multi-core processors, and the …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 28–35 Read article
-
Stilbenes: A Molecular Docking and ADMET Analysis Approach on an Emerging Resource for Scavenging Reactive Oxygen Species in the Field of Colon Malignancy
Abstract: Objective: Colon malignancy, also referred to as colon cancer, originates as precancerous polyps in the colon or rectum, which have the potential to thrive and progress into cancerous tumors over time. This study delves into various bioactive compounds (from natural sources like plants) to assess their potential efficacy in inhibiting colon malignancy as compared to conventional methods. Methods: The objective of this study was to employ computational methodologies to evaluate …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 29–38 Read article
-
Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
-
The Impact of Climate Change on Animal Health and Veterinary Practices
Abstract: Climate change poses significant challenges to animal health, altering disease dynamics, impacting livestock productivity, and threatening wildlife populations. Rising global temperatures, changing precipitation patterns, and increased frequency of extreme weather events have direct and indirect effects on both domestic animals and wildlife. Heat stress in livestock, for instance, reduces productivity, fertility, and overall well-being. Water scarcity, malnutrition, and changing ecosystems also compromise the health of animals, making them more susceptible …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 3, 2024 · pp. 26–30 Read article
-
Unified Ensemble Techniques for Enhanced DDoS Attack Prevention and Detection
Abstract: Today’s world is entirely reliant on the internet. The internet is a worldwide information source that all users rely on, hence its accessibility is critical. There have been reports in recent years, particularly in the information and technology division of significant organizations worldwide, of data breaches where the terms denial-of-service (DoS) and DDoS are consistently present in the stolen material. Network security is seriously threatened by DoS attacks. They have …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 20–27 Read article
-
Analysis of White Matter, Gray Matter, and Cerebrospinal Fluid Alterations in Neurological Disorders: A Deep Learning Approach
Abstract: This paper investigates the role of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) alterations in the pathophysiology of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, and epilepsy. By leveraging advanced deep learning methodologies, we aim to automate the segmentation and analysis of brain structures from MRI scans, enabling a more detailed and precise evaluation of their roles in disease progression. These techniques allow for the identification …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 21–27 Read article
-
Study of Lipid Profile and Its Correlation with Coronary Angiogram Finding in a Tertiary Care Hospital in an Urban Setting
Abstract: Coronary artery disease (CAD) is a major global health concern caused by the constriction or blockage of the coronary arteries, which can result in serious cardiovascular events. This study looks at the relationship between lipid profiles and the severity of CAD as measured by coronary angiography in patients in a tertiary care hospital. The study focuses on dyslipidemia as a major risk factor for CAD, emphasizing the importance of efficient …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 106–118 Read article
-
A Community-Based Study to Assess: The Aggravating Factors and Treatment Choices in Youth with Acne
Abstract: Background and Aim: Acne vulgaris is a common dermatological condition affecting youth worldwide. While its pathogenesis is well-understood, individual experiences with aggravating factors and treatment choices vary. This study aimed to evaluate self-reported factors aggravating acne and determine treatment choices among youth with acne while assessing the correlation between self-perceived and clinically assessed acne severity. Methodology: A cross-sectional survey was conducted with 390 participants aged 18–24 suffering from acne. Data …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
-
Evaluation of Emergency Response Plans in Industrial Environments Using Simulation Techniques
Abstract: Industrial facilities, particularly those in the chemical, manufacturing, and energy sectors, face significant hazards due to their complex operations and the handling of hazardous materials. Ensuring the safety of workers and minimizing the impact of incidents require robust and effective emergency response plans (ERPs). Traditional evaluation methods, such as drills and tabletop exercises, often fall short in replicating the complexities of real-world emergencies. These methods may lack the realism needed …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 6–10 Read article
-
Risk Assessment of Nitration Process Using HAZOP and Fault Tree
Abstract: The present study addresses the safety issues associated with the nitration reactions. Since the nitration reaction is highly exothermic in nature exhibiting intense heat during the operation and may explode if wrongly handled, the risk assessment of nitration reaction is absolutely necessary. In the present work, the production of Ortho Nitro Chloro Benzene (ONCB) and Para Nitro Chloro Benzene (PNCB) is considered to perform the risk assessment of the nitration …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 18–23 Read article
-
Synergistic Procurement and Molecular Characteristics of Full Grain Leather in Advanced Material Engineering
Abstract: This article explores the molecular characteristics and engineering processes involved in the production and application of full-grain leather, recognized for its premium quality due to its intact granular structure. Full-grain leather, undivided into split layers, maintains a robust and durable molecular composition, making it a preferred material in high-quality garment manufacturing. The study emphasizes the role of leather conditioners in restoring the molecular suppleness and moisture retention of leather, crucial …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article
-
A Comprehensive Review of Digital Transformation in Healthcare: Addressing Privacy, Security, and Usability Challenges in Electronic Health Records
Abstract: The healthcare industry’s shift toward digitalization through electronic health records (EHRs) and advanced health information technology (HIT) promises improved patient care but brings forth challenges in safeguarding patient data privacy, confidentiality, and security (PCS). Researchers are exploring innovative solutions like block chain and cryptography to address these concerns while ensuring usability for healthcare professionals. Additionally, the impact of regulatory frameworks on data sharing and security is being studied, emphasizing the …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 9–14 Read article
-
Need For EPDS in Indian High-Rise Constructions for Reduced Greenwashing and Sustainable Future with Green Polymer and Composites
Abstract: Environmental product declarations (EPDs) are a globally recognized means of communicating the environmental impacts of a product or service across its entire lifecycle. They evaluate various items' environmental performance and pinpoint enhancement chances. EPDs are very useful in the construction industry since they may be used to choose environmentally friendly building materials and techniques. India is undergoing a swift construction surge, with high-rise towers becoming progressively prevalent.. However, the construction …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 54–66 Read article
-
Convolutional Neural Network Based Ripeness Detection of Fruits
Abstract: The accurate and efficient assessment of fruit ripeness plays a crucial role in ensuring the quality of fruits and optimizing supply chain management. This paper presents a novel approach for the automated detection of apple and banana ripeness using Convolutional Neural Networks (CNNs). The suggested method supports the capability of CNNs to learn hierarchical features from images, variations in color and shape associated with different ripeness stages. The online dataset …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 30–36 Read article
-
The drying characteristics of bitter and sour sop leaves are affected by temperature
Abstract: One of the earliest techniques for food preservation is the drying method. Drying is important because it reduce the moisture content of the food hence reducing the breeding ground for microorganism that causes food spoilage. Due to this marked effect, the study was aimed at investigating the effect of temperature on the drying characteristic of bitter leave (Vernonia Amygdalina) and Soursop (Annona Muricata). The methodologies employed in this researches are …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 12, Issue 3, 2024 · pp. 01–014 Read article
-
Reducing Environmental Impact through Optimized Non-Renewable Resource Management: A Systematic Review of Technological Advances
Abstract: The term "optimized use of non-renewable resources" describes the prudent management and optimization of limited natural resources that are difficult to replenish or regenerate quickly. Minerals, nuclear fuels, and fossil fuels (coal, oil, and natural gas) are examples of resources that are not renewable. The abstract idea is to minimize waste, the impact on the environment, and the pace of depletion while optimizing the utility obtained from these resources. Advanced …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 12–19 Read article
-
Utilizing circulation-derived cancer cells to evaluate patients with surgically treated stages I–IIIA NSCLC throughout the preoperative phase
Abstract: Context: When a tumor is considered resectable, surgery is viewed as the primary treatment approach for both early-stage and locally advanced non-small cell lung cancer (NSCLC). One of the most exciting areas of cancer research in the past ten years is liquid biopsy, which offers a practical non-invasive method for cancer detection and tracking. Circulating tumor cells (CTCs) have been linked to a worse prognosis and increased chance of relapse …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 3, 2024 · pp. 17–28 Read article