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1946 articles for “Friday AI-2.0” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Effect of Salinity and Spraying of Spirulina sp. Extract on some Morphological and Physiological Characteristics of Anise (Pimpinella anisum L.)
Abstract: The experiment was conducted during the academic year (2023-2024) in the Al-Ghammas area, affiliated with Al-Shamiya District / Diwaniyah Governorate, with the aim of studying the effect of salinity of irrigation water and spraying Spirulina plantensis algae extract on some phenotypic and physiological growth characteristics of the anise plant Pimpinella anisum. Which were measured in the laboratories of the Department of biology/ College of Education for women - University of …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 3, 2025 · pp. 1–7 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Energy Efficiency and Awareness in Edge Computing: A Critical Review of Challenges, Strategies, and Future Directions"
Abstract: Edge computing enhances distributed systems by processing data near its source, yet its rapid growth, driven by IoT, 5G, and smart applications, escalates energy consumption across billions of devices. This study critically analyzes energy-saving techniques across hardware, software, and network layers, highlighting the role of AI tools and user education in promoting energy awareness. It explores trade offs between energy efficiency and system performance, identifies scalability challenges in large-scale deployments, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 32–36 Read article
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Physiological and Anatomical Study of The role of Phytoremediation of Mustard Plant in Reducing Pollutants in Najaf Governorate/Iraq
Abstract: The experiment was conducted in Najaf Governorate / Iraq during the winter of 2023 to determine the types of some heavy metals in Najovernorate and to know the role of phytoremediation of mustard plant in absorbing these heavy metals and the plant's response to these pollutants by measuring some nutrients and heavy metals and studying some anatomical characteristics. Large pots were used in the experiment and distributed after a month …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 Read article
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Hybrid Polymer Nanocomposites with Enhanced Dielectric and Optical Properties for Wireless Communication Systems
Abstract: The incorporation of nanofillers into polymer matrices offers a promising approach to enhancing the multifunctional properties of composite materials. This study examines the effect of nanofiller concentration on the dielectric performance, mechanical strength, thermal stability, optical absorbance, and electromagnetic interference (EMI) shielding effectiveness of polyvinylidene fluoride (PVDF)-based nanocomposites. Titanium dioxide (TiO₂) and zinc oxide (ZnO) nanofillers were incorporated at varying concentrations to assess their influence on material properties. EMI shielding …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 518–549 Read article
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Leveraging Large Language Models for Personalized Document Summarization and Question Answering: An Architecture for Stoner-Friendly Chatbots
Abstract: This study presents a detailed framework for developing personalized chatbots that utilize large language models (LLMs) to process and extract information from extensive documents while effectively responding to user inquiries. The proposed system is designed to mitigate information overload by employing advanced natural language processing techniques, leveraging technologies such as OpenAI, LangChain, and Streamlit. By integrating these tools, the framework enhances knowledge retrieval, simplifies document comprehension, and improves overall productivity. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 88–93 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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Analytical Technique Optimization and ICH-Directed Verification of a Reverse Phase HPLC Approach for Quantification of Bupropion Hydrochloride
Abstract: This method was developed for retention time, peak resolution and baseline response using Bupropion Hydrochloride under optimized conditions as validation. The method resulted in two well separated, well defined peaks, a minor peak at 7.5 minutes 12 mV and a main peak at 11.52 minutes 150 mV. At the same time, the baseline has remained stable during the chromatographic run and the fluctuations of noise are very small (0.5 ± …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 2, 2025 · pp. 47–54 Read article
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Computer and Commerce – Relationship for The Future
Abstract: The relationship between computers and commerce has evolved dramatically over the past few decades, transforming the way businesses operate and how consumers interact with markets. This synergy continues to grow and holds significant potential for the future. Computers, through advancements in artificial intelligence (AI), machine learning, cloud computing, and big data analytics, have revolutionized commerce by enhancing efficiency, improving decision-making, and fostering innovation. In the future, we can expect even …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 42–59 Read article
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Vaccines in the Fight Against COVID-19: Mechanisms, Efficacy, and Global Challenges
Abstract: The SARS-CoV-2 pandemic has created an unparalleled public health problem, necessitating comprehensive prevention. This page discusses COVID-19's evolution, scientific understanding, and quick vaccine production and implementation. It compares the mechanisms, efficacy, and safety profiles of the four major types of COVID-19 vaccines—namely mRNA, viral vector, protein subunit, and inactivated virus vaccines. Each type is evaluated in terms of how it stimulates the immune response, its effectiveness in preventing infection or …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 34–48 Read article
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Analytical Method Development and Validation for Simultaneous Estimation of Paracetamol and Piroxicam by UV Method
Abstract: A new establishment and validation of a simple, precise, accurate and cost effective UV-Visible spectrophotometric method was developed to estimate both Paracetamol and Piroxicam simultaneously in conjoined pharmaceutical dosage forms. This technique was founded on simultaneous equation method of absorbances recorded at 252.0 nm and 282.0 nm of Paracetamol and Piroxicam in methanol respectively and an isosbestic point could be observed at 265.0 nm. It showed very good linearity over …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 14–21 Read article
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Analytical Method Development and Validation of Simultaneous Estimation of Natural Active Constituents Andrographolide and Piperine by UV Method.
Abstract: A simple, accurate, precise, and robust UV-Visible spectrophotometric method was developed and validated for the simultaneous estimation of Andrographolide and Piperine in bulk and combined pharmaceutical dosage forms. Preformulation studies confirmed favorable physicochemical properties for both drugs, including acceptable solubility profiles, melting points, pH values, and partition coefficients. The method development involved determination of λmax values at 224 nm for Andrographolide and 288 nm for Piperine using ethanol as solvent. …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 3, 2025 · pp. 33–41 Read article
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Polymer-Nanowire Hybrid Composites Based on PEDOT: PSS and AgNWs for High-Performance Conductive Films in Flexible Devices
Abstract: The growing demand for flexible photovoltaic and wearable optoelectronic devices has intensified research into polymer-based conductive composites that provide transparency, flexibility, and electrical efficiency. In this work, we report the fabrication and characterization of a hybrid polymer nanocomposite electrode comprising silver nanowires (AgNWs) embedded within a PEDOT:PSS matrix, deposited on flexible polyethylene terephthalate (PET) substrates. The PEDOT:PSS polymer phase, modified with 5 vol% dimethyl sulfoxide (DMSO) and 0.1 vol% Zonyl …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 236–250 Read article
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Effect of Carbonyl Iron Particle Concentration on The Printability and Stiffness of Magnetorheological Elastomer Filaments
Abstract: Magnetorheological elastomer (MRE) are increasingly valued for their field-responsive mechanical properties, making them ideal for adaptive components in automotive, aerospace, and vibration control systems. However, conventional mould-based fabrication methods limit design flexibility, produce excess material waste, and are unsuitable for complex or customized geometries caused challenges that have hindered broader industrial adoption. Although 3D printing offers a compelling alternative, research on printable MRE filaments remains limited, particularly regarding how carbonyl …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 310–317 Read article
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Harnessing NLP for Automation and Intelligence Across Sectors
Abstract: Natural Language Processing or NLP is a vital subset of Artificial Intelligence or AI which enables machines to interpret, understand, and communicate using human language in a remarkable way. From the traditional rule-based approaches to the modern advanced deep learning techniques such as transformers, neural networks, and hybrid models, NLP has been evolving year by year. This study reflects on various applications of NLP, including sentiment analysis, machine translation, analysis …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 23–32 Read article
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HCI: A Systematic Review of Trends, Challenges, and Future Directions
Abstract: The field of human-computer interaction (HCI), which connects people and technology, is becoming increasingly important and developing quickly. By emphasizing intuitive interaction, user-focused design, and overall system usability, it contributes to the development of more intelligent, responsive, and human-centered systems. This thorough analysis explores the many uses of HCI, such as mobile and multi-screen platforms that demand smooth, cross-device interactions and immersive settings like the Metaverse, where users interact within …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 10–16 Read article
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Evaluate The Engineering Properties of Low Load-Carrying Capacity of Expansive Soil by Using Magnesium Chloride and Dry Leaf Ash Powder
Abstract: The swell-shrink behavior of expansive soils poses numerous challenges with the substructure and distress in infrastructures such as buildings, pavements, breast walls, etc. The behavior of expanding soil has been carefully examined by geotechnical engineers, who have then put adequate management techniques into place. Present investigation intends to investigate potential benefits of dry leaf ash (DLA) powder and magnesium chloride (MgCl2) to enhance geological characteristics of soil, particularly addressing problems …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 1, 2025 · pp. 33–45 Read article
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Smart Trolley Billing System
Abstract: The Smart Trolley Billing System is an advanced automation solution designed to enhance retail efficiency by integrating IoT, embedded systems, and real-time data processing. Utilizing a GROW GM65 Barcode Scanner Module, Raspberry Pi 4, and a Capacitive Touchscreen display, the system streamlines checkout by capturing product data, dynamically updating a preloaded SQLite database, and displaying an itemized bill in real-time. Its Python-based software stack ensures efficient barcode processing, database management, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 29–36 Read article
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Real-Time IR Intensity Measurement and Computation for Systems
Abstract: In contemporary defense mechanisms, infrared (IR) sensing has become a fundamental technology for identifying and neutralizing heat-seeking threats, especially concerning aircraft protection. Conventional IR detection systems, such as single-channel radiometers and basic thermal sensors, frequently face restrictions due to low spatial resolution, sluggish data processing, and inadequate user engagement. These constraints can impede the prompt identification of dangers like missile launches or flare activations, potentially endangering mission safety. Additionally, numerous …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 8–13 Read article
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Association of Metabolic Syndrome with Cholelithiasis in Female Patients and Its Impact on Clinical Management and Surgical Outcome
Abstract: Background: Metabolic syndrome (MetS) is associated with obesity, insulin resistance, dyslipidemia, and hypertension, which may predispose to gallstone formation. This study aimed to evaluate the association between MetS and cholelithiasis in female patients and to assess its impact on clinical presentation, surgical difficulty, and postoperative outcomes. Methods: A prospective observational study was conducted on 88 female patients with ultrasonography-confirmed cholelithiasis. Patients were divided into two groups: MetS (n=44) and non-MetS …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 · pp. 1–7 Read article