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198 articles for “hetero”
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An Evaluative Comparison of CD123 and CD66c as Biomarkers to Detect Minimal Residual Disease in B-Cell Acute Lymphoblastic Leukemia
Abstract: Background: B-cell Acute Lymphoblastic Leukemia (B-ALL) often shows lineage heterogeneity with lymphoid cells expressing myeloid markers. Minimal Residual Disease (MRD) refers to the small number of cancer cells that may remain in a patient's body after treatment and that are undetectable by standard diagnostic methods. In diseases like B-cell Acute Lymphoblastic Leukemia (B-ALL), MRD is a critical prognostic indicator, as its presence can signal a higher risk of relapse. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 7–12 Read article
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Cyanophycin: Production and Its Role as Stabilizer in Nanoparticle Synthesis
Abstract: Cyanophycin also known as cyanophycin granule polypeptide, an exceptional biopolymer produced by diverse cyanobacteria, has attracted considerable attention because of its potential uses in various environmental and biomedical field. In this review paper, we examine the current knowledge about cyanophycin production under different culture mediums and supplements that are consumed by varieties of microorganisms. Cyanobacteria have the capacity to produce cyanophycin, a nitrogen-rich compound generated under stress conditions, such as …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 13–26 Read article
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Comprehensive Analysis of Modern IoT Security Challenges and Solutions
Abstract: The Internet of Things (IoT) is rapidly transforming various industries by enhancing the human quality of life (QoL) through its wide-ranging applications. From healthcare to automotive, agriculture, education, and numerous other sectors, IoT has become essential for enabling smarter, more efficient systems. However, with its heterogeneous nature, IoT introduces a multitude of security challenges, as different IoT applications often function under varying frameworks and protocols. Consequently, addressing and studying IoT …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 34–39 Read article
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Experimental Studies on the Mechanical and Microstructural Properties of Sustainable Concrete Incorporating Palm Oil Industrial Waste
Abstract: Diving into the world of concrete, normal concrete is widely used in construction but poses environmental challenges due to significant carbon dioxide emissions from cement production. Incorporating oil palm shells (OPS) and palm oil fuel ash (POFA) into concrete offers a sustainable alternative, utilizing waste products from the palm oil industry and reducing environmental impact. Experimental studies have examined the use of OPS and POFA as partial replacements for coarse …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 19–40 Read article
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Deep Learning-Based Pneumonia Diagnosis: A Comparative Review of Models and Metrics
Abstract: Pneumonia is a common viral infection that affects a large percentage of people worldwide. It is more common in developing and impoverished areas because of factors like poor sanitation, crowded living quarters, pollution in the environment, and restricted access to medical facilities. In order to improve survival chances and gain access to therapeutic therapies, pneumonia must be diagnosed as soon as possible. A type of artificial intelligence called deep learning …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Enhancing Road Safety: A System for Vehicular Accident Detection, Prevention, and Rescue Alerts
Abstract: The Vehicular Accident Detection, Prevention, and Rescue Alert System is a comprehensive solution aimed at bolstering road safety by integrating multiple advanced technologies. It merges drowsiness detection, alcohol level monitoring, and instant emergency alerts to mitigate accidents and expedite rescue efforts. Modern computer vision and machine learning techniques are used by the Drowsiness Detection Alarm to track driver conduct and spot drowsiness indicators. Upon detecting drowsiness, an immediate alarm is …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 7–11 Read article
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Comparative Proteomics: From Cell Lines to Clinical Samples
Abstract: Comparative proteomics is a powerful tool for understanding the molecular differences between various biological samples. It entails identifying and measuring proteins in complex biological samples to assess their abundance, modifications, and interactions under various conditions. This approach plays a crucial role in advancing biomedical research, especially in disease understanding, biomarker discovery, and therapeutic development. While cell lines are widely used for proteomic studies due to their controlled environments and reproducibility, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 30–34 Read article
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Computational Approaches to Understanding Cellular Signaling Pathways
Abstract: Cellular signaling pathways are fundamental in regulating vital processes, such as cell growth, differentiation, and apoptosis. The intricate and interconnected nature of these signaling networks requires sophisticated methods for their analysis. Computational approaches, including mathematical modeling, network analysis, and machine learning, have revolutionized the way researchers analyze and simulate cellular signaling. This article provides a comprehensive overview of computational strategies employed to model signaling pathways, with a focus on integrating …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article
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New Insight into the Composition and Structure of Sizing Agent from NMR Spectroscopy
Abstract: Sized carbon fibers (CFs) are of commercial significance as they form the main load-bearing component in advanced materials, namely, carbon fiber-reinforced plastics (CFRPs). Much of the knowledge of sizing composition and the process of sizing is a subject of intellectual property rights owing to its commercial relevance. In this original research article, deeper insights into the structure and composition of the sizing agent used for the surface modification of commercial …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 06–23 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Nanocomposites of Polyethylene-Closite 20A: Preparation and Characteristics
Abstract: Low-density polyethylene/closite 20A nanocomposites with different organoclay contents were made in the current study by a melt mixing technique with two different compatibilizers of varying contents: low molecular weight oxidized polyethylene and low molecular weight trimethoxysilyl modified polybutadiene. The inclusion of compatibilizers and concentrations of organoclay were analyzed in relation to the mechanical and thermal properties of the nanocomposites. The dispersibility of the silicate clay in the nanocomposites was investigated …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 1, 2025 · pp. 01–12 Read article
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Emerging Paradigms in Parallel Computing: Trends and Innovations
Abstract: Parallel computing is at an inflection point with revolutionary new paradigms and technologies. The goal of this paper is to survey the recent trend in parallel computing from architecture, programming model and applications. Mahajan cites a litany of architectural developments such as heterogeneous computing systems with integrated graphics processing unit/central processing unit ; the emerging promise from quantum and neuromorphic architectures (please see later); advances in packing transistors using novel …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 39–43 Read article
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Investigation of Process Specifications on Friction Stir Welded Aluminium 5083 and 6082 Alloys
Abstract: Aluminium 5083 alloys were mainly used for naval based applications because of better corrosion resistance feature. Similarly aluminium 6082 alloy being a structurally significant material found its applications in construction sector. Fusion welding of these two heterogeneous alloys is bit hard, since it evolves many defects. Present Investigation deals with two cases of distinct alloys through FSW process. Case 1 represents 31 experimental trails performed by 5 various tool pin …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 1–11 Read article
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Role of Organizational Culture in Mediating AI-Induced Social Alienation: A Meta-Analysis
Abstract: The fast adoption of artificial intelligence (AI) in the workplace has raised worries about its influence on employee well-being, particularly social alienation. Social alienation is characterised by feelings of detachment and estrangement at work. It can harm job satisfaction, staff engagement, and organisational performance. Existing literature suggests that organizational culture is crucial in shaping employee experiences with AI technologies. This meta-analysis investigates how organizational culture mediates the relationship between AI …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 28–33 Read article
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Advances in Biological Systems Modeling for Predicting Drug Effects in Chronic Disease
Abstract: Biological systems modeling has emerged as a promising tool for understanding and predicting the effects of drugs in the treatment of chronic diseases. Chronic diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders pose significant challenges to traditional drug development due to their complex, multifactorial nature. Systems biology approaches, which integrate computational modeling with experimental data, provide a holistic view of disease mechanisms and treatment responses. This review explores recent …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 17–22 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article
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Understanding Leukemogenesis: Challenges and Advancements in Diagnostic Approaches
Abstract: Leukaemia development, or leukemogenesis, is a multifactorial process driven by a complex interplay of environmental, genetic, and epigenetic factors. Despite substantial advancements in technology and medicine, which have enhanced our understanding of the contributing factors, early and accurate diagnosis remains a major challenge due to the overlapping clinical features shared by the various leukaemia subtypes. This study explores the molecular and cellular mechanisms underlying leukemogenesis, while also addressing the difficulties …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
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Computational Analysis of Tinospora Cordifolia Phytochemicals as Potential Inhibitors of BRCA1-BRCT Domain Interaction in Breast Cancer
Abstract: Breast cancer is a leading cause of cancer-related deaths worldwide, accounting for a significant proportion of mortality rates among women. Despite current therapeutic approaches, the disease remains characterized by molecular heterogeneity, making it challenging to develop effective treatments. This study explores the potential of Tinospora cordifolia, a medicinal plant, in breast cancer therapy. Guduchi, scientifically known as Tinospora cordifolia, boasts a centuries-long history of use in traditional medicine, with a …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 27–37 Read article
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Assessment of Water Quality along River Ethiope, Delta State
Abstract: The environment, economic growth, and human health all depend on the quantity and quality of water supplies. Given this, the significance of water quality monitoring cannot be overstated.This study was aimed at assessing the water quality of River Ethiope. To achieve this, surface water samples were collected from Ethiope River along its banks at the following towns; Umuaja (SWI), Ebedie (SW2), Abraka (SW3), Sapele (SW4) and Ughara (SW5) axis during …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article
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Optimizing Data Processing Efficiency in Big Data: Advanced MapReduce Algorithm Innovations
Abstract: The exponential growth of big data in recent years has created an urgent need for innovative and efficient processing frameworks capable of managing and analyzing massive and complex datasets. Among these, MapReduce has gained prominence as a powerful tool for distributed data processing due to its simplicity and scalability. However, traditional MapReduce frameworks often encounter significant limitations in terms of efficiency, scalability, and resource optimization, particularly when handling large-scale and …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article