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1961 articles for “Keywords: Omega-3 fatty acids (n-3 PUFAs)” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Face Aging Using Generative Adversarial Network
Abstract: This project addresses the challenge of predicting how a person may look in the future or how they appeared in the past using a single photograph. While existing methods mainly focus on altering texture, they often neglect changes in head shape that naturally occur during the aging process, limiting their effectiveness, especially when applied to images of children. To tackle this issue, a novel approach is introduced that employs a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 41–52 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Exploring the Role of Teamwork in Enhancing Research Productivity in Yobe State Tertiary Institutions, Nigeria
Abstract: The impact of cooperation on academic scientists' publishing production at tertiary institutions in Yobe State, Nigeria, was the subject of this survey study. Three (3) goals served as the study's guidelines. At the 0.05 level of significance, chi-square (X2) was used to test two (2) null hypotheses The study's target audience consisted of 162 academic scientists, and a survey research design was employed. The study used the total enumeration sampling …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 19–26 Read article
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Computation of the Necking in Bars Without Geometrical Imperfection
Abstract: This paper presents a finite element analysis to compute the neck profiles of smooth, circular cylindrical bars in shear-free grip under uniaxial tensile load. The analysis uses 4-node quadrilateral element with linear displacement variation, as well as 8-node Serendipity quadrilateral element with curved sides and a quadratic variation of the displacement field, for power law hardening materials that follow von Mises plasticity. All the elements are based on isoparametric formulation. …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 10–19 Read article
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CNN-Based Wound Segmentation: A Review of Models and Performance Evaluation
Abstract: Deep learning, particularly convolutional neural networks (CNNs), has altered medical image processing by automating and precisely segmenting complex medical pictures. Wound segmentation, a critical application in automated wound assessment, is essential for wound size estimation, classification, and healing progress monitoring. This study presents a comprehensive review of CNN-based wound segmentation models, focusing on their architectures, methodologies, and performance on diverse datasets. Four deep learning models, including two U-Net variants (5-layer …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 33–46 Read article
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The State of Air Quality: Pollution Sources, Health Implications, and Future
Abstract: Air quality is a critical component of environmental health, significantly affecting human well-being and ecological balance. Poor air quality has been related to a variety of health issues, including respiratory and cardiovascular disorders, and it is a major cause of early death worldwide. Understanding the origins, kinds, and impacts of air pollutants is critical for establishing effective pollution-reduction initiatives. This review focuses on the principal pollutants that affect air quality, …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 1–4 Read article
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IoT-based Marine Life Tracking and Pollution Monitoring System
Abstract: In the contemporary world, marine pollution stands as a significant challenge that has adversely affected oceans over the decades. This issue has been exacerbated by human activities, including the improper disposal of sludge, oil spills, and agricultural runoff entering marine environments without adequate regulatory oversight. The repercussions of ocean pollution are detrimental, impacting marine ecosystems, the environment, and ultimately human health. The Internet of Things (IoT) has emerged as a …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 11–20 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Integrating Internet of Things and Global Navigation Satellite System for Advanced Accident Detection and Road Safety Enhancement
Abstract: The purpose behind this project is to improve road safety through the development of an innovative internet of things (IoT)-based accident detection and reporting system. This research paper proposes the integration of GSM (Global System for Mobile Communications) and LoRa (long-range communications) technologies, utilizing the A9G module, Arduino Nano, and LoRa module RA02, to achieve real-time accident detection and efficient reporting. By leveraging accelerometer data analysis, the system promptly identifies …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 29–35 Read article
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Great Women of India Like Ahilyabai Holkar, Rani Durgavati, Rani Bhabani, Rani Bhavashankari, Rani Rasmoni: Lessons for Making New India 2047
Abstract: Introduction: Since ancient times, women have struggled to navigate a society dominated by men. Despite years of planned development in India, women still have a lower status in society, and their socio-economic conditions remain significantly worse than those of men. Time has come to take Lessons from our Great Women, like Ahilyabai Holkar, Rani Durgavati, Rani Bhabani, Rani Bhavashankari, Rani Rasmoni and others to make New India 2047. Objective: The …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 2, 2025 · pp. 39–44 Read article
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Length–Weight and Girth Relationship, Condition Factor, and Stomach Contents of Pila Ovata from Otuoke/Otuaba River, Bayelsa State, Nigeria
Abstract: Otuoke/Otuaba River situated in Otuoke, Bayelsa State, Nigeria serves numerous purposes, such as fishing, laundry, human feacal disposal, amongst others. The river is home to Pila ovata, a mollusc which serves as a special delicacy in the meals of most Bayelsan due to its high protein content. The length-weight and girth relationship, condition factor and stomach contents of P. Ovata (Apple snail) from Otuoke/Otuaba River was studied. Snail samples were …
Published in International Journal of Marine Life · Vol. 2, Issue 1, 2025 · pp. 10–17 Read article
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Phytochemicals from Plectranthus amboinicus and Azadirachta indica for Promoting Angiogenesis and Tissue Regeneration – A Short Review
Abstract: The eco-friendly synthesis of silver nanoparticles (AgNPs) using plant extracts has garnered significant attention due to its potential in biomedical applications. This review highlights the green synthesis methodologies, focusing on Plectranthus amboinicus and Azadirachta indica, their phytochemical components, and their docking studies with angiogenesis-related receptors such as VEGF and FGF. The applications of AgNPs in tissue regeneration, wound healing, and angiogenesis are discussed in detail, emphasizing the roles of phytochemicals …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 34–40 Read article
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Finite Element Analysis of Multiwall Carbon Nanotubes Enabled Single Lap Joint
Abstract: This study uses finite element analysis (FEA) to examine the strength of adhesively bonded single lap joints with and without Multiwall Carbon Nanotubes (MWCNT) added to the adhesive. Shear strength analysis is performed by applying a tensile load that generates shear stress at the overlap between the two substrates bonded with adhesive. Aluminum (Al-Al) substrates were used, and single-lap joints were prepared following ASTM standards. Specimens with identical overlap and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 195–203 Read article
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Self-Driving Cars and Computer Vision: Enhancing Computer Vision for Autonomous Vehicle Navigation
Abstract: Autonomous vehicles, commonly known as self-driving cars, are transforming the transportation sector by aiming to enhance road safety, ease traffic congestion, and boost overall efficiency. Central to the operation of these vehicles is computer vision, which enables them to perceive and understand their environment. This paper examines how computer vision contributes to the navigation of autonomous vehicles and highlights its continuous developments. Specifically, it examines key challenges such as real-time …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 1–10 Read article
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A summary continuation analysis evaluating the prevalence and predictors of diabetic retinopathy in newly diagnosed type 2 diabetic patients.
Abstract: Context: Diabetic retinopathy (DR), the leading cause of acquired blindness in adults, affects approximately 93 million people globally. It is a serious complication of type 2 diabetes, resulting from prolonged damage to the blood vessels in the retina. Although largely preventable and treatable, DR continues to be the main cause of vision loss among working-age adults and significantly impacts quality of life. While most studies on DR in Nepal have …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 21–30 Read article
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Nutritional Management of Polycystic Ovarian Disease: Integrating Unani and Contemporary Approaches
Abstract: In Unani medicine, dietary management, known as Ilaj bil Ghiza, plays a vital role in restoring humoral balance and maintaining a healthy temperament (mizaj). This principle aligns with modern medical understanding, particularly in conditions, like polycystic ovarian syndrome (PCOS), which is often associated with insulin resistance and obesity. Modifying dietary habits has shown promise in improving both metabolic and reproductive functions in PCOS patients. Unani scholars attribute PCOS to a …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2025 · pp. 1–6 Read article
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Exploring Antimalarial Activity of Chalcone Derivatives through QSAR
Abstract: Background: The core structure of chalcones contains a reactive α,β-unsaturated system within the aromatic rings, which plays a key role in mediating various biological effects. These effects include enzyme inhibition, anticancer activity, anti-inflammatory properties, as well as antibacterial, antifungal, antimalarial, antiprotozoal, and anti-filarial actions.Modifying the structure by introducing substituent groups to the aromatic ring can enhance potency, reduce toxicity, and expand their range of pharmacological actions. Methods: A total of …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Extraction of Impacted Lower 3rd Molars immediately after the Single Visit Endodontic treatment of 2nd Molar - A Case Series
Abstract: Patients who visit a dental clinic often anticipate fewer appointments and quicker recovery times. This expectation is particularly relevant when discussing impacted lower third molars in conjunction with decayed second molars. Dentists often struggle with the decision of whether to start endodontic treatment on the second molar or to proceed with extracting the third molar. This dilemma arises due to the absence of sufficient research or documentation specifically addressing the …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 6–11 Read article
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Nurse’s Responsibility and Liability in Chemotherapy Formulation: Legal and Ethical Considerations
Abstract: Each year, over 16 million new cancer cases are diagnosed globally. Cancer causes cells to grow uncontrollably, potentially leading to the formation of tumors, immune system damage, and other debilitating effects that can be fatal. Common cancer treatments include surgery to remove tumors, chemotherapy, radiation therapy, hormonal therapy, and immunotherapy. Among these, chemotherapy plays a significant role, accounting for nearly half of the overall treatment approach. Chemotherapy drugs can be …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 15–20 Read article
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Developing Techniques for Controlling Different Aspects of Text Generation Such as Tone and Contents
Abstract: Large Language Models (LLMs) have shown excellent text creation quality in Natural Language Processing (NLP). However, LLMs have to satisfy ever-more-complex standards in real-world applications. LLMs are supposed to meet specific user goals, like as mimicking specific writing styles or producing material with poetic richness, in addition to eliminating inaccurate or objectionable content. Controllable Text Generation (CTG) techniques were developed in response to these diverse demands. They guarantee that outputs …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 34–39 Read article