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1954 articles for “Cr(VI)” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Identifying Origin of Replication (ORI) sites in genomic sequence using Python-based programming and Motif analysis in Bioinformatics
Abstract: ORI sites serve a critical function in DNA replication serving as the beginning point of the process. Identifying the spots appropriately means a lot and is important for the biologists working in the lab. Detecting the ORI is not only vital for the detection of replication sites but is also important in numerous biological processes. In this study, we offer a unique approach employing Python-based motif analysis to discover the …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 22–33 Read article
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Social Media Usage Among Youth in Punjab: Platform Preferences, Usage Habits, and Academic Impact
Abstract: Background: The role of social media in daily life and communication activities continues to grow, especially among young people. Given the shift towards more social interaction and engagement online, it is important to look at the preferences of the platforms, their habits of usage, and how they relate with academic engagement. This research study analyzes the social media utilization patterns of youth residing in Punjab, India with the aim of …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 21–30 Read article
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A Study on the Factors Influencing the Buying Behaviour of Organic Food Products Amongst Gen Z in Mumbai
Abstract: This study explores the key variables that shape the purchasing behavior of Generation Z (Gen Z) consumers in Mumbai with regard to organic products. As awareness about health and sustainability continues to grow, understanding the preferences of this consumer group has become increasingly important. The research is based on a structured quantitative survey conducted among 100 Gen Z consumers residing in Mumbai. The responses reveal that several factors, including price, …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Optimizing Mechanical Properties of Polypropylene Fibre-Reinforced Coconut Shell Concrete
Abstract: This study investigates the impact of polypropylene (PP) fibre reinforcement on the mechanical properties of coconut shell (CS) concrete. The compressive strength of CS concrete is primarily governed by the strength of CS aggregates, with early-age failure attributed to poor bonding and later-stage failure influenced by aggregate strength. The incorporation of PP fibres significantly enhanced compressive, tensile, and flexural strength. At 28 days, compressive strength increased by 1.2–3.45% in CSF …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 6–12 Read article
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SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
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Assessment of Polycystic Ovarian Syndrome with Emphasis on Imaging Modalities
Abstract: Polycystic Ovarian Syndrome (PCOS) is a higly prevalent hormonal disorder that affects women during their reproductive age. It is linked to a wide range of health concerns ,including disturbances in reproductive functions, metabolic abnormalities and an increased risk of cardiovascular diseases. Ultrasonography plays a crucial role in identifying polycystic ovarian morphology, which constitutes one of the key diagnostic criteria under the Rotterdam consensus. This prospective cross-sectional observational study was conducted …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 Read article
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DEVELOPMENT OF POLYMERSOMES AS MACROMOLECULAR PLATFORMS FOR NANOMEDICINE
Abstract: The conventional method of drug delivery is plagued with instability, low targeting and low bioavailability. A solution to these shortcomings is the use of polymer Somes, artificial vesicles that are produced through self-assembly of amphiphilic block copolymer, and they are suggested as universal nanoscale carriers. They have stiff, tunable membranes (thickness = 2-50 nm) due to accurate control of polymer chemistry, chain length, and hydrophilic mass fraction (f), which allows …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Quick Reach Alert System
Abstract: This project presents the design and implementation of a compact and low-cost GPS tracking system using the A9G module. The system is capable of tracking real-time location, sending emergency alerts, and providing audio surveillance. It includes an SOS button that, when pressed, immediately sends the user’s current GPS location via SMS to a predefined phone number. Additionally, the system allows remote audio monitoring through a microphone connected to the A9G …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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The Creation and Assessment of the Herbal Face Pack
Abstract: The aim of this study is to develop and test herbal facials for glowing skin using organic herbs. Natural herbal components in the form of dry powder, such as Orange peel, Tulsi (Holy Basil), Masoor dal (Lentin), Multani mitti (Calcium Bentonite), and Methi (Fenugreek), Sandalwood (Santalum album) were bought from the local market. Orange peel powder was made via commercial shade drying. To guarantee a consistent composition, all powdered natural …
Published in Recent Trends in Cosmetics · Vol. 1, Issue 2, 2024 · pp. 13–25 Read article
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Novel Amino Silanes for Inhibition and Dissolution of Aldol Polymer for Caustic Tower in Cracker Plant
Abstract: Aldol polymer fouling in petrochemical plant is an undesirable process, which needs to be removed for increasing the efficiency of downstream process. In this paper, inhibition and dissolution efficiency of the aminopropyl trimethoxy silane (APTMS), aminopropyl triethoxy silane (APTES), sodium salt of aminopropyl trimethoxy silane (SS-APTMS), sodium salt of aminopropyl triethoxy silane (SS-APTES) were studied at different molar ratio of vinyl acetate (VA):amino alkoxy silane (antipolymerant). The sodium salt of …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 35–48 Read article
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Unraveling Mixed Ionic-Electronic Conduction in Lithium-Substituted Rubidium Tetra Titanates via Dielectric Spectroscopy and EPR Analysis
Abstract: Lithium-substituted Rubidium Tetra Titanates with varying concentrations of lithium carbonate (Li₂CO₃) — specifically 0.01, 0.05, and 0.1 molar percentages — were successfully synthesized using a conventional high-temperature solid-state reaction method. The resulting compounds follow the general chemical formula Rb₂₋ₓLiₓTi₄O₉. X-ray diffraction (XRD) analysis confirmed that lithium ions were successfully incorporated into the crystal lattice without disrupting the fundamental layered structure of the host material. The crystal system remained monoclinic across …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 2, 2025 · pp. 19–29 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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Waste-Heat Recovery Systems for Sustainable Industrial Energy Management
Abstract: Industrial processes consume vast amounts of energy, often resulting in substantial heat losses to the environment. Waste-heat recovery (WHR) systems provide a viable solution to harness this otherwise lost thermal energy, improving overall energy efficiency, reducing operational costs, and contributing to sustainable industrial practices. This study investigates the design, implementation, and optimization of waste-heat recovery systems across various industrial sectors, including power generation, chemical processing, cement production, and steel manufacturing.The …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 78–84 Read article
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AI EdTech Synergy: From Chalkboards to Smartboards
Abstract: Beyond textbooks and classrooms, AI paints a future from adaptive tutors to immersive realities. AI is not just a tool sculpted by algorithms but an architect of a learning revolution where knowledge becomes truly boundless. The convergence of AI marks an era of revolution in learning, promising individualized learning pathways, optimized evaluative metrics, interactive virtual pedagogies, and enhanced accessibility. This convergence examines the emergent field of AI-powered educational innovation, shedding …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 18–25 Read article
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Transformative Breakthroughs: Revolutionizing Potato Disease Detection Through Machine Learning
Abstract: Advancements in agricultural technology and the integration of artificial intelligence for diagnosing plant and leaf diseases are crucial for sustainable agricultural development. Conditions like early blight and late blight exert a notable influence on both the quality and quantity of potato harvests. Identifying these leaf diseases manually demands significant labor and a considerable level of expertise. Therefore, efficient, and automated methods for disease detection are essential to improve potato production. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 54–62 Read article
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Research on the Field of Social Robotics and HRI
Abstract: One of the most fascinating trends in recent technology is “Social Robots”, born out of human intelligence. Soft Robots will soon become a vital organ of Human civilization. Social robots are robots that are designed in such a way that they can interact with other living organisms. The detailed study of interactions between a Social robotic system and humans is crucial in developing this technology. With the progress in this …
Published in Trends in Electrical Engineering Read article
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Effect of Functionalization on glass transition temperature of Carbon Fiber reinforced Epoxy Nanocomposites using MD Simulation
Abstract: As we all know that the mechanical characterization of any material plays a vital role in performance of the material throughout its life cycle. One of the major parameters in calculating the mechanical properties of carbon fiber reinforced nanocomposite is glass temperature. Understanding glass transition behaviour of polymer nanocomposites are crucial for optimizing their mechanical properties and performance. We used “Molecular dynamics simulations” to calculate sequel functionalization effect on glass …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 1–8 Read article
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Epilert: Epilepsy Tracker and Detector
Abstract: Epilepsy, affecting over 50 million individuals worldwide, necessitates innovative solutions for effective monitoring and intervention. Current systems face challenges such as inaccuracy, limited accessibility, and discomfort, leaving patients and caregivers vulnerable. Epilert, a wearable device, addresses these gaps by employing advanced sensors and machine-learning algorithms for real-time epilepsy detection and monitoring. The device integrates electromyography (EMG) and motion sensors to capture and analyze physiological and movement data. Preprocessing techniques ensure …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 1–8 Read article
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An Investigation into the Quality of Distillate Diesel Fuel at Selected Service Stations in Freetown’s Western Area
Abstract: As a critical energy source for global transport and industry, diesel fuel quality is of paramount importance. This study evaluates and compares the quality of diesel fuel samples by analyzing key parameters: sulfur content, density, cetane index, and kinematic viscosity. The properties of diesel fuel samples from six (6) Fuel Stations of various Oil Marketing Companies (OMCs) are compared with National Technical specifications limits of the Sierra Leone Standards Bureau, …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–14 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article