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1982 articles for “exploration” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Matriarchal Influence and Spiritual Identity: Exploring Women's Spirituality in Young Sheldon
Abstract: The study analyzes the TV series Young Sheldon (2017–2024) through maternal and spiritual feminism. It is a prequel to The Big Bang Theory, set in the 1980s. It is based on a ten-year-old Sheldon’s struggles to adjust to his environment. It aims to examine the study critically, emphasizing the role of his mother and her maternal and spiritual practices through episodes of seasons one to five. The study works on …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 33–43 Read article
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An Exploratory Study on the Application of Locust Bean Pod Extract as a Natural Binder in the Manufacture of Laterite Blocks for Affordable Housing Construction
Abstract: This study investigates the potential application of locust bean pod extract as an alternative binding material in the production of laterite blocks for local building construction. It also examines the availability and distribution of locust bean pod resources across Nigeria and other parts of Africa. Locust bean pods are typically treated as agricultural waste and discarded after the seeds are removed, creating an opportunity to convert this underutilized by-product into …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 36–45 Read article
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Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Exploring the Dynamic Mechanical Analysis and Biocompatibility of Compression-Molded PMMA for Biomaterial Applications
Abstract: Metals such as titanium, cobalt, and magnesium are commonly used as biomaterials. However, their use can lead to tissue reactions due to the formation of foreign bodies which may cause blood cancer. Researchers have addressed this issue by substituting biomaterials with polymethyl methacrylate materials (PMMA). The PMMA material being studied is produced using the compression molding technique. This article examines the mechanical properties and biotoxicity of PMMA. These materials have …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 482–499 Read article
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Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine
Abstract: Integrative frameworks that integrate traditional medicine and modern computer research are increasingly important for advancing evidence-based, individualized healthcare. One interesting strategy is the combination of Ayurveda, network pharmacology, and artificial intelligence (AI). AI expands the capability by allowing for the quick analysis of biomedical big data, the identification of therapeutic trends, and the optimization of treatment plans. Ayurveda, with its long-standing emphasis on individualized care, holistic balance, and natural remedies, …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 92–98 Read article
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Future-Ready Communication Systems: Exploring High-Speed, Adaptive, and Secure Network Solutions
Abstract: The domain of electronics communication systems has experienced rapid transformation due to the growing demand for high-speed, reliable, and intelligent communication networks. This paper presents a comprehensive analysis of emerging trends such as Fifth Generation (5G) communication systems, Internet of Things (IoT), Artificial Intelligence (AI)-enabled networks, Software-Defined Networking (SDN), optical communication advancements, and cybersecurity mechanisms. The combination of cloud computing, edge computing, and network virtualization which improve system flexibility, allow …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 Read article
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Digital Innovation in Heritage Management: Exploring possibilities of I-BIM and H-BIM through Borobudur Temple and Dhanyakuriya
Abstract: Heritage buildings are vital links to our past, embodying the architectural, cultural, and historical significance of earlier eras. Their preservation has become increasingly complex due to environmental degradation, structural aging, and the evolving urban landscape. This paper investigates the application of Heritage Building Information Modelling (H-BIM) as a comprehensive methodology for documenting and conserving these structures. H-BIM leverages advanced digital technologies such as photogrammetry, laser scanning, and Geographic Information System …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 2, 2026 Read article
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Medicinal Pteridophytes of Himachal Pradesh: Exploring Their Role in Alleviating Respiratory and Gastrointestinal Disorders
Abstract: Pteridophytes, comprising a diverse group of vascular cryptogams, have been widely used in traditional medicine for their medicinal properties. The therapeutic potential of different medicinal pteridophytes in treating gastrointestinal and respiratory conditions is investigated in this study. Their bioactive substances, including flavonoids, alkaloids, tannins, and saponins, which have anti-inflammatory, antibacterial, and antispasmodic properties, are highlighted by both traditional knowledge and recent research. Specific species, such as Adiantum capillus-veneris (maidenhair fern), …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 2, 2026 Read article
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Exploring the Relationship Between Disseminated Intravascular Coagulation and Waterhouse–Friderichsen Syndrome
Abstract: Waterhouse–Friderichsen syndrome was first identified as a distinct clinical entity by Little in 1901. He described four cases from his own observations and, after examining existing literature, identified eight additional cases that he considered previously unclassified. One case in his report may have involved purpura resulting from a different cause. The knowledge of this unusual disorder developed slowly from several significant clinical observations and case reports during the first two …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 2, 2026 · pp. 45–49 Read article
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Emerging Trends in Photobiology: Exploring the Photophysics and Photobiology of the Eye
Abstract: The eye consists of three main segments: the cornea, lens, and retina. The primary function of the anterior ocular tissue, the cornea and lens, is to transmit and focus light onto the retina without distortion. They also filter UV light (under 400 nm), preventing it from reaching the retina. While light reaching the retina is mostly used for vision, it can also have various effects on the eye's constituents, both …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
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Exploring the viability of DIY mobile robots, a technical and economic perspective.
Abstract: This article is intended for on ramping of novices in mobile robotics and shine a new light on feasibility of home-brew robots. Readers are expected to use this resource as a take-off point from which they will get to know where to look and to what extent, along with some of our own recommendations. The topics covered include but not limited to, hardware selection, firmware programming, feedback control, system design, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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The Evolution of Ion Propulsion Systems: A Comprehensive Review of Technologies and Applications
Abstract: Field-Emission Electric Propulsion (FEEP) represents a cutting-edge advancement in electric propulsion systems, leveraging the principle of ion emission through intense electric fields to generate precise and efficient thrust for spacecraft. This study explores the working mechanisms, performance characteristics, and applications of FEEP thrusters in the context of modern space exploration. FEEP systems utilize liquid metals, such as cesium or indium, as propellants, which are ionized at the emitter tip and …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 1, 2025 · pp. 16–22 Read article
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Leveraging Origami for Space Efficiency: A Comprehensive Review of Its Role in Aerospace
Abstract: Originating in East Asia, origami has developed beyond its original artistic medium to play a significant role in the design of adjustable systems, especially in the sector of space engineering. Due to tight weight and space constraints, these structures which are essential for aviation and spacecraft make effective use of the geometric qualities of origami. This study provides a summary of recent research, emphasizing the benefits, technical applications, and uses …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 43–50 Read article
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A Detailed Review on Intelligent and Robust Control Strategies for Autonomous Underwater Vehicles with Emphasis on Navigation, Path Tracking, and Stability Enhancement
Abstract: Autonomous Underwater Vehicles (AUVs) have gained significant attention due to their applications in ocean exploration, underwater surveillance, environmental monitoring, and offshore industries. The control of AUVs presents various challenges due to the highly dynamic and uncertain underwater environment, nonlinear hydrodynamics, and external disturbances. This review paper explores various control strategies employed for AUVs, including classical control methods such as Proportional-Integral-Derivative (PID) controllers, modern techniques like Model Predictive Control (MPC), and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 28–52 Read article
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A Data-driven Approach to Sales Analysis
Abstract: Decisions made using data from digital sources are said to be data-driven when they are analysed and interpreted. Across many sectors, a data-driven approach is an effective technique for gaining insights, making wise choices, and guiding corporate strategy. This study covers the concept of data analytics in sales analysis of bakery and mess. It involves evaluating diverse types of information, including sales data, customer preferences, production costs, and supplier details. …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 29–41 Read article
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Analysis of World Population Growth Using Python
Abstract: In this research work, we studied data analysis using the Python programming language. The fundamental steps in data analysis, such as cleansing, converting, and modelling of data is briefly explained in this study. In order to come up with good results, data analysis is required. Python has been used by us for data analysis. This language is interactive, interpreted, and follows an object-oriented programming paradigm. It is open source and …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 15–20 Read article
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Tales from the Himalayas: Straight from the Heart of Priyanka Pradhan
Abstract: “Tales from the Himalayas” is a collection of seventeen short stories written by Priyanka Pradhan. She is the recipient of the “Ruskin Bond Promising Writer Award 2019” at the Dehradun Literature Festival. Each tale in the collection is an entertaining, heart-warming, and delightful read. Themes of family, friendship, belonging, and loss are prominent in the pages. The stories depict the rich cultural heritage that resides in the heart of the …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 1, 2024 · pp. 19–25 Read article
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CampusX: Empowering College Selection with 3D insights using machine Learning approach.
Abstract: CampusX redefines college selection with dynamic 3D insights, empowering students to navigate campuses virtually. Utilizing cutting-edge machine learning and visualization techniques, it transforms static data into interactive experiences. Personalized comparisons enable informed decision-making, while predictive analytics forecast future campus developments. With a user-centric interface and robust privacy protocols, CampusX ensures seamless exploration and data security. This innovative platform bridges the gap between prospective students and their ideal educational environments, revolutionizing …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 23–29 Read article
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Using Artificial Intelligence for The Design of Polymeric Drug Delivery Systems
Abstract: AI is cost effective and time efficient process. Artificial intelligence is a method which uses high speed calculation, the improvement regarding algorithm along with collection about biological and chemical features in pharmaceutical exploration and development .Present day because continuous progress towards machine learning (ML),Artificial intelligence an effective statistics analysing technology might have been broadly utilized in drug design .In pharmaceutical exploration and research employ of AI in target identification, compound …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1018–1027 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article