Search
168 articles for “Multi-Scale”
-
Valorization of Fruit and Vegetable Wastes for CA Production: A Comprehensive Review with Emphasis on Aspergillus niger Bioprocessing and Future Prospects
Abstract: Citric Acid (CA) is a multifunctional organic acid with diverse industrial applications, recently gaining prominence in polymer and composite science as a green crosslinker, compatibilizer, and functional additive. Conventionally produced through submerged fermentation of refined sugars by Aspergillus niger, industrial CA production faces sustainability challenges due to reliance on food-grade substrates. This review highlights emerging strategies for CA biosynthesis from vegetable and fruit processing residues—including cucumber peels, broccoli stalks, spinach …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 807–822 Read article
-
A Study on Cancer Related Fatigue and Quality of Life (QOL) among Women Undergoing Treatment for Various Cancers in Selected Tertiary Care Hospitals of Ludhiana, Punjab
Abstract: Cancer is a collection of illnesses marked by irregular cell proliferation that has the potential to infiltrate or metastasize to different areas of the body. Gynecological cancer specifically refers to the abnormal cell growth in the female reproductive tract, including various organs such as the endometrium, fallopian tubes, ovaries, uterus, cervix, vagina, and breast. These cancer cells have a tendency to multiply uncontrollably. The majority of individuals diagnosed with cancer …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 6–11 Read article
-
Thin Film Technology in Sensor Manufacturing – A Technical Discussion
Abstract: Thin‑film technology has become the cornerstone of modern sensor manufacturing, enabling the convergence of miniaturisation, multifunctionality, and cost‑effective mass production. This paper surveys the latest advances in deposition techniques—ranging from magnetron sputtering and chemical vapour deposition to atomic‑layer deposition (ALD) and ink‑jet‑printed sol‑gel processes—and examines how their unique material‑control capabilities translate into performance gains across the sensor spectrum (chemical, physical, and bio‑sensing). By integrating nanoscale thickness control (≤ 10 nm) …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 48–58 Read article
-
Online Learning’s Effect on Education
Abstract: This review paper, titled “Online Learning’s Effect on Education,” delves into the multifaceted impact of online learning on the educational landscape. It investigates how online learning influences students, educators, and institutions, exploring its effects on learning outcomes, pedagogical strategies, and the evolving nature of education itself. This study offers valuable insights into the potential benefits and challenges associated with online learning, shedding light on its continuously developing role in the …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
-
OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 39–50 Read article
-
A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
-
Webpage Extraction and Retrieval Chatbot
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
-
Development of a Low-Cost Autonomous Robot for Obstacle Avoidance Using Ultrasonic Sensing
Abstract: In the evolving landscape of automation, autonomous mobile robots are becoming critical for performing tasks with minimal human intervention. This project presents the design and development of a cost-effective, small-scale obstacle-avoiding robot using an Arduino microcontroller and an ultrasonic sensor. The robot operates by scanning its surroundings, identifying nearby obstacles, and navigating by altering its path in real time. Through intelligent programming and sensor integration, the system achieves smooth, collision-free …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 1–11 Read article