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88 articles for “recurrence”
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Advancements and Challenges of Modern Breeding over Conventional Breeding
Abstract: Plant breeding dates back thousands of years, when people first deliberately bred plants based on visually pleasing characteristics. The domestication of wild plants aided this process, resulting in the evolution of numerous breeding strategies over time. Conventional breeding, which is distinguished by selective breeding based on superior performance, used procedures such as pure-line selections, mass selection, backcross breeding, recurrent selection, and hybridization. While effective, classical breeding procedures were time-consuming and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–5 Read article
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Understanding the Efficacy of Homoeopathic Remedies in the Treatment of Heloma (Corn)
Abstract: Heloma (Corn), is a horny induration and thickening of the stratum corneum resulting from faulty mechanics, irregular distribution of pressure, bony prominences and repetitive motion injury due to repetitive activities or problems with footwear. Thus, both the extrinsic factor and the intrinsic factor are responsible for the formation of Heloma (Corn) affecting 14-18% of people. As most people consider it as a non-threatening condition, they seek home remedial measures like …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 2, 2024 · pp. 23–30 Read article
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A Comprehensive Review: Effectiveness Of Multi-Sensory Learning Strategies for Learning Disability Students
Abstract: A person's ability to learn new things can be severely hampered by a range of neurodevelopmental diseases known as difficulties with learning. Multisensory learning is an instructional strategy that offers learners multiple ways to perceive information through different sensory signals. The purpose of this review is to assess how learning disabilities, Dyslexia, Dysgraphia, and Dyscalculia can be treated with a multisensory learning approach. A thorough evaluation of past papers published …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 01–09 Read article
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Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential
Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Wiskott-Aldrich Syndrome: A Comprehensive Guide
Abstract: Wiskott-Aldrich Syndrome (WAS) is an uncommon genetic disorder inherited through the X chromosome, marked by a combination of immune system deficiencies, eczema, and low platelet counts. This syndrome primarily affects males, leading to significant morbidity and mortality due to recurrent infections, bleeding complications, and autoimmune diseases. Mutations in the WAS gene disrupt the production of the Wiskott-Aldrich Syndrome protein (WASp), crucial for the functioning of immune cells and platelet formation. …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 2, 2024 · pp. 39–46 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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Robustness of Deepfake Detection Systems Against Adversarial Attacks
Abstract: This paper explores a deep learning system to detect deepfake videos, a common type of fake media. With the use of sophisticated methods such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs), our system can reliably discern between authentic and altered videos. It analyzes both the images and the audio in videos to find signs of deepfake manipulation. We process video frames and audio, extract features with CNNs …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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An Overview of Fanconi Anemia: A Genetic Disorder
Abstract: Fanconi Anemia (FA) is a rare genetic disorder caused by DNA repair defects due to pathogenic variants in one of 21 genes. It is the primary cause of inherited bone marrow failure, marked by pancytopenia. Clinically, Fanconi Anemia (FA) is associated with congenital malformations in multiple systems, resulting in progressive bone marrow failure and heightened cancer risk, especially in the urogenital region and the head and neck. There are approximately …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 19–25 Read article
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Recipe-Fusion: Multimodal Food Recipe Recommendation System
Abstract: The food recipe recommendation system using data science is a software solution designed to help users discover new and delicious food options based on their food history and other relevant data. This system recommends various recipes based on the input given by the user and it helps to filter out the recipes on course type, diet type, and nature of the food (including non-veg, and veg) using a recommendation technique. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 82–91 Read article
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Detecting Phishing Websites Using Hybrid Methodologies
Abstract: In the digital era, personal information theft has become a widespread and increasingly severe crime. Cybercriminals, often known as hackers, use deceptive strategies, with phishing websites being a major method for stealing confidential data. These fake websites imitate legitimate ones, tricking users into revealing sensitive personal and financial information, which has led to a rise in fraud cases. To address this escalating threat, a comprehensive research paper is proposed. This …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 59–65 Read article
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Literature Review and Discussion of Machine Learning Algorithms for Predicting Chronic Kidney Disease
Abstract: Being one of the most serious and most occurring diseases in our era, chronic kidney disease requires a fast and correct diagnosis. The usage of machine learning in medicine has now grown to such a level that it could be a means of diagnosis. The doctor can be the first one to get the ailment by using machine learning classifier algorithms. This has been the data science sector’s new horizons, …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 34–39 Read article
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Effective Ayurvedic Management of Dadru Kustha with Herbo- mineral Aushadhi yoga: A Single Case Study
Abstract: The skin, as the body's largest organ, is highly prone to various disorders due to its size and exposure to external factors. The majority of skin conditions are often the result of infections, including those caused by fungi or bacteria. In Ayurveda, skin diseases are grouped under the term 'Kustha' and are further categorized into MahaKustha and KshudraKustha. Among these, Dadru is a notable condition, classified as Raktapradoshaja Vikara, with …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 3, 2024 · pp. 26–31 Read article
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A Case Study on Ayurvedic Management of Psoriasis (Ekakushtha)
Abstract: Psoriasis is a common chronic inflammatory skin condition characterized by red, scaly patches. In Ayurveda, such skin diseases fall under "Kushtha," divided into two categories: "Maha Kushtha," which includes more severe disorders with systemic effects, and "Kshudra Kushtha," encompassing less severe conditions like "Ekakushtha." The dominancy of Doshas in Ekakushtha is Vata and Kapha.In present case study, 26 years of old male patient was presented to the panchakarma OPD at …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 3, 2024 · pp. 5–12 Read article
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Utilizing circulation-derived cancer cells to evaluate patients with surgically treated stages I–IIIA NSCLC throughout the preoperative phase
Abstract: Context: When a tumor is considered resectable, surgery is viewed as the primary treatment approach for both early-stage and locally advanced non-small cell lung cancer (NSCLC). One of the most exciting areas of cancer research in the past ten years is liquid biopsy, which offers a practical non-invasive method for cancer detection and tracking. Circulating tumor cells (CTCs) have been linked to a worse prognosis and increased chance of relapse …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 3, 2024 · pp. 17–28 Read article
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A Review on The effect of Polycystic Ovary Syndrome on some Hormonal and Metabolic Disturbances in Women
Abstract: Polycystic ovary syndrome (PCOS) is a common hormonal condition that affects women of reproductive age. It usually begins to appear during adolescence. The ovaries produce an abnormal amount of "androgens", which are male sex hormones that are usually found in women in small quantities. Ovarian syndrome causes hormonal imbalances, irregular menstrual cycles, increased cysts in the ovaries, in addition to hair growth all over the body, acne, and pain in …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 21–28 Read article
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Epidermolysis Bullosa and Its Role in Cervical Cancer: An Overview
Abstract: Epidermolysis Bullosa is a group of uncommon genetic disorders that primarily affect the skin and mucous membranes. It is marked by severe skin fragility and the formation of blisters even after minor trauma. Traditionally, the focus of Epidermolysis Bullosa research has been on its dermatological manifestations, which include recurrent blistering, scarring, and the potential for infections due to the compromised skin barrier. However, recent advancements in Epidermolysis Bullosa research have …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 14–18 Read article
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A Study on The Impact of Artificial Intelligence in Pharmaceuticals
Abstract: The main goal of artificial intelligence (AI) is to create intelligent modeling, which facilitates knowledge imagination, problem-solving, and decision-making. AI is becoming more and more significant in several pharmacy domains, including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Various types of artificial neural networks (ANNs), including deep neural networks (DNNs) and recurrent neural networks (RNNs), are utilized in the development of drug delivery formulations and in drug …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 24–32 Read article
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Sustainable Advances in Oral Pathology: The Impact of Artificial Intelligence
Abstract: Oral cavity cancers constitute about 4% of all malignant neoplasms. More than 9,900 new cases are reported from the developed countries yearly, and the 5-year mortality rate is higher than 39%. In Europe, the highest rates occur in Hungary, Croatia, and other Central and Eastern European countries; high levels are also seen in India, Pakistan, and Bangladesh. The management of endosseous pathologies presents considerable challenges because they often exhibit no …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 1, 2025 · pp. 24–27 Read article
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DVT in Athletes: A Physiotherapist’s Approach to Prevention, Early Detection, and Rehabilitation
Abstract: Deep vein thrombosis (DVT) is a serious medical condition where blood clots develop in the deep veins, most often in the lower limbs. While it is traditionally associated with immobility, athletes are also at risk due to factors like prolonged travel, injuries, dehydration, and genetic predispositions. This paper explores the role of physiotherapists in preventing, detecting, and rehabilitating DVT in athletes. Preventive strategies include promoting hydration, active recovery, circulatory exercises, …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 1, 2025 · pp. 11–16 Read article
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Clinical Evaluation of Ayurvedic Intervention (Mahamanjishathadi Kwatha, Kaishora Guggulu, Panchatikta Ghrita, Eranda Taila) in the Management of Ekakushtha W.S.R. to Psoriasis
Abstract: Introduction: Psoriasis is a chronic skin condition causing scaly plaques, typically on extensor surfaces, scalp, and nails, and often leads to quality of life impairments, including physical and mental health challenges. Ayurveda offers a holistic approach targeting root causes and balancing body and mind, while conventional treatments focus on symptom management through therapies that may cause side effects and recurrence. Aim and Objectives: The study aimed to assess the efficacy …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 1, 2025 Read article