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1975 articles for “font meta- data” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Combine Effect of Metakaolin, Recycled Steel Fiber and Waste Glass Powder on Mechanical Properties of Concrete
Abstract: This study investigates the combined effects of metakaolin, recycled steel fiber, and waste glass powder on the mechanical properties of concrete. Specifically, the research explores concrete mixes with metakaolin, crushed glass powder at 9%, 12%, 15%, and 18%, and recycled steel fiber at 0.5%, 1%, 1.5%, and 2% as partial replacements for cement. The primary aim is to identify the optimal mix proportions that enhance the compressive strength, flexural strength, …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 3, 2024 · pp. 7–17 Read article
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Development of Biomass-Derived Composites From Commodity Plastics Via Pyrolysis For Enhanced Corrosion Protection of Metals
Abstract: Escalating environmental concerns and the depletion of fossil resources have spurred the need for sustainable and eco-friendly materials. By converting plastic waste into valuable carbonaceous materials via pyrolysis, both plastic pollution and resource scarcity can be addressed. The process involves the thermal decomposition of plastics in an inert atmosphere, producing a mixture of gases, liquids, and solid residues rich in carbon. These carbonaceous residues are then incorporated with biomass materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 59–70 Read article
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Size-biased Sujatha Distribution with Properties and Application to Model Flood Data
Abstract: In this study, a size-biased version of the Sujatha distribution was proposed to model flood data. The descriptive statistical properties based on moments and the reliability properties of the distribution are discussed in detail along with their derivation and graphical presentation. An interesting feature of the proposed distribution is that it is a member of the exponential family of distributions. A sequential probability ratio test was performed using the proposed …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 31–46 Read article
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Machinability of Metal Matrix Composites using Wire Electric Discharge Machining: A Review
Abstract: Metal Matrix composites [MMCs] are increasingly being applied in the automotive and aerospace industries as high-performance substitutes for traditional materials. Due to these properties, namely, high strength-to-weight ratio, outstanding fracture toughness, and low density, a vast array of uses is feasible. We can control the properties of MMCs directionally as well, which makes them the perfect choice for military uses and marine and sports equipment. The machining of MMCs plays …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 303–311 Read article
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Wear Attribute of Aluminium Metal Matrix Composite Reinforced With MWCNT, Produced By FSP, On A Vertical Milling Machine
Abstract: The exceptional properties of Aluminium metal matrix composites (AMMCs) like good hardness, specific strength, enhanced wear rate made huge demand in the automobile and aerospace industries. The classical methods of manufacturing AMMCs leave problems at the interface of matrix and reinforcement segregation, like an agglomeration of reinforcements, wettability etc. To overcome this, an alternate, innovative method of fabricating aluminium matrix surface composites has been invented, which is termed friction stir …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 525–539 Read article
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Recent Advances in Transition Metal Complexes with Phenyl Acetic Acid and Pseudo Halogen: Synthesis, Characterization and Applications
Abstract: A well established strategy is to introduce a biologically relevant organic molecule in coordination sphere of transition metal complexes to increase the selectivity and biocompatibility. Phenylacetic acid (PAA), an organic molecule with a phenyl functional group and a carboxylic acid functional group, is a phenylalanine that is generated from the naturally occurring auxin, which is extensively present in plants. The most promising outcomes in the battle against cancer and microbes …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 68–78 Read article
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A Systematic Review on Blockchain Technology for Maintaining Data Security in Cloud Systems
Abstract: Cloud is one of the fastest growing technologies that is widely adopted in different types of application systems such as healthcare, smart network, supply chain management, internet of things (IoT), and many others. However, it is more prone to the security threats due to the inclusion of different technologies. Blockchain technology is currently being used to safeguard cloud data security, which provides the features of decentralization, resilience to failure, and …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 1, 2025 · pp. 31–39 Read article
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Movie Popularity Content-based Database System Using Cloud Computing Based on Deep Learning and AI
Abstract: The digital age has brought rapid growth in both the production and consumption of movies within the entertainment industry. This surge in movie availability has created a need for effective methods to assist users in discovering films that align with their preferences. This paper introduces the concept of a “Movie Popularity Content-Based Database System,” designed to enhance the movie recommendation process by combining content-based filtering with popularity trends. In summary, …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 1, 2025 · pp. 7–12 Read article
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Overview of Atomic Structure of Metals in Group 1 Elements
Abstract: This study discussed the basic atomic features of Group 1 elements—lithium, sodium, potassium, rubidium, cesium, and francium—by concentrating on their electronic configurations, atomic radii, and ionization energies. The article gives a thorough investigation of how these variables contribute to the chemical and physical characteristics of alkali metals. The data demonstrated that when the atomic number increases, the atomic radius likewise increases, whereas the ionization energy drops. These developments are ascribed …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 3, 2024 · pp. 6–13 Read article
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Progression in multi-omics and immunological research on host-parasite interactions: Transcriptomics, proteomics, genomics, metabolomics, and immune responses
Abstract: The interaction occuring between hosts and parasites is a quick and multi step-complex biological process that tries to influence disease outcomes. In recent years, multi-omics approaches, such as transcriptomics, proteomics, genomics, metabolomics, and immunological studies, have gathered substantial eye in dissecting these interactions at a microscopic level. These techniques enable a vast understanding of the molecular structures involved in parasitic infections and host defense mechanisms. This article reviews the advancements …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
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Role of Carboxylesterases in Xenobiotic Metabolism and Detoxification: Insights for Cheminformatics Approaches
Abstract: Xenobiotics, which include a wide range of environmental pollutants, food additives, drugs, and carcinogens, are foreign chemical entities that enter the human body and may accumulate, leading to toxic effects. Phase I and phase II metabolic responses are among the detoxification procedures that are necessary to lessen these negative consequences. This review highlights the pivotal role of carboxylesterases (CES), enzymes involved in the hydrolysis of ester, amide, and thioester bonds …
Published in International Journal of Cheminformatics · Vol. 2, Issue 2, 2024 · pp. 9–17 Read article
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Smart Soil Health Monitoring: Leveraging Sensors and Big Data to Optimize Crop Growth
Abstract: The increasing demand for sustainable farming practices has necessitated the development of innovative technologies that improve crop productivity while reducing environmental harm. This study investigates the combination of internet of things (IoT) sensors and big data analytics for real-time soil health monitoring, with the aim of maximizing crop yield and efficient resource management. This allows for informed decision-making in key agricultural practices, such as fertilization, irrigation, and crop rotation, based …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 36–43 Read article
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Physical and Mechanical Properties of GGBS Based Geopolymer Concrete with the Inclusion of Metakaolin
Abstract: The use of ecologically friendly materials in the production of concrete is a significant and pertinent development in the global movement for sustainable construction. Geopolymer concrete (GPC) has gained popularity as an alternative to conventional Portland cement (OPC)-based concrete due to its utilisation of ground granulated blast furnace slag (GGBS), fly ash, and metakaolin, among other industrial by-products. The production of geopolymer concrete addresses serious environmental problems and contributes to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 261–266 Read article
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Physiological and Psychological Effects of Ekadashi Upavasa (Fasting Ritual) on Women: A Prospective cohort study on Metabolism, Immunity, and Mental Clarity
Abstract: Background: Ekadashi Upavasa, a traditional bi-monthly fasting ritual, is believed to offer physical, mental, and spiritual benefits. However, its scientific impact on metabolism, immunity, and mental clarity remains underexplored. This prospective cohort study evaluates these effects among women practicing the ritual at Krishna Temple, Amloh, over six months. Methods: A total of 800 women aged 25–50 years were recruited from Krishna Temple, Amloh, for this study, conducted from June 2024 …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 · pp. 67–70 Read article
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Evaluation of Metal Coupons Corrosions in Fresh Water Environment at Different Water Depths Using Finite Element Analysis
Abstract: This research addressed the effects of water depths and quality on corrosion of submerged metal structures in the water body considering environmental conditions. The depths considered were 30cm to 150cm. Four different metal coupons were selected (Mild Steel, Copper Steel, Carbon Steel and Stainless Steel] Galerkin`s finite element techniques was applied to evaluate the relationship between diffusion and weight loss, also velocity and weight loss at different water depths. The …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 27–50 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Examining Experimentally the Impact of Spot-Welding Process Variables on Metal Matrix Composites
Abstract: Metal matrix composites work in concert with reinforcement to improve the material's qualities. Reliability in joining metal matrix composites using traditional methods is challenging. Friction Stir Welding has demonstrated the ability to solve numerous issues that arise in traditional welding procedures. Initially, the Friction Stir Welding (FSW) welding procedure produced metal seams that were solid. Additionally, FSW was expanded to join MMCs and their alloys. The purpose of this review …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 193–201 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Integration of Multispectral Satellite data with Ensemble Machine Learning Models for Wetland Classification: a new Ramsar Site in Central India
Abstract: For biodiversity conservation, several wetlands in India have been classified as Ramsar sites, and Sirpur Lake is a recent addition to the list. The objective of this paper is to use Sentinel optical data with 10-meter resolution to prepare a robust and accurate classified map which will be crucial for further analysis. The data on thirteen spectral bands along with four essential spectral indices, Normalized Difference Vegetation Index (NDVI), Normalized …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 Read article
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Collaborative Approaches in Using Satellite Data for Climate Action: A study
Abstract: As climate change continues to threaten coastal towns in many ways, satellite sensing has become an increasingly important tool for assessing and managing risk. This technology could help ecological scientists, legislators, and urban planners make better decisions, which could lead to safer and greater resilient coastal communities in the end. The use of satellite data in urban development and emergency preparedness programs has helped a lot in reducing the consequences …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 1–9 Read article