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1860 articles for “IDE” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Pharmacoinformatic Based Screening Of Phytocompound Epigallocatechin Gallate To Identify As A Potential Bcl-2 Inhibitor
Abstract: Objectives: The B-cell lymphoma-2 (Bcl-2) is a protein that is particularly though to be involved in preventing apoptosis. Bcl-2 family members also essential for cancer survival, and its over expression has been linked to tumor genesis, development and resistance to anticancer treatments. The Bcl-2 family of members that inhibit apoptosis is a promising target for the creation of anticancer drugs. Methods: The study was based on computational approach using different …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 1, Issue 3, 2023 · pp. 1–13 Read article
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Acoustic or Sonic Log Analysis Identifying the Subsurface Geophysical Changes in Hydrocarbon Bearing Zones in Oil and Gas Potential Sedimentary Basins
Abstract: The introduction of acoustic/sonic logs to oil and gas industry is barely decades old. But, even within such a short span of time it has become an integral part of most of the modern logging programmes. With the recent introduction of acoustic scope pictures, this may even hold a promise of making the old dream of seeing the hydrocarbon in situ come true. In this paper, an attempt has been …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 22–35 Read article
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Identification of Secondary Metabolites from Zingiber officinale as Inhibitors for Keap 1-Nrf2 small Molecules through Molecular Docking Techniques
Abstract: Objective: Therapeutic plants aid in treating cancer-based cell signaling pathways and preventing certain risk factors. Zingiber officinale has a variety of anti-inflammatory characteristics also contributing to enhanced immunity, reducing cancer risk and used to target the KEAP NRF2. When overexpressed in response to oxidative stress and DNA damage, elevates the risk of developing multiple cancers. NRF2 cellular sensors, which also control and coordinate their expression aid in defending healthy cells …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 1, Issue 2, 2023 · pp. 35–48 Read article
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In Silico Docking Analysis to Identify Therapeutic Benzoic Acid Derivatives for Acute Myeloid Leukaemia
Abstract: Background: The study is anchored to initiate subjugation against modern cancer therapy for Acute Myeloid Leukaemia (AML) which involves natural therapeutics as an alternative therapy that would degrade the prospect of adverse side effects along with anti-cancer properties. Objectives: Collate the various characteristics of Giltertinib with natural benzoic acid derivative phytochemicals for a disquisition regarding their similarities and differences in the context of providing adverse side effects. Methods: ADME toxicity …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 2, 2023 · pp. 50–63 Read article
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Identification and Categorization of Brain Tumors
Abstract: Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Strategic and well-thought-out treatment planning significantly contributes to improving a patient's overall quality of life. Many different imaging techniques, such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and also ultrasound are used to evaluate tumors in different parts of the body, with a focus on using MRI images for brain tumors. It is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 32–37 Read article
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A study to assess the effect of nutritional supplementation on the hemoglobin level and the associated signs and symptoms of the students identified with anaemia in selected colleges of SNDT Womens’ University Mumbai
Abstract: The purpose of this study was to assess the effects of nutritional supplements on haemoglobin levels and related symptoms among students at SNDT Women's University in Mumbai who had been diagnosed with anaemia in a few particular institutions. Non-occurrence A sample of thirty anaemic students was selected via easy sampling. With a one-group pre-test-post-test methodology, the study used a descriptive evaluative design. Data collecting instruments included measurement devices, opinion questionnaires, …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 16–25 Read article
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Philosophical Ideas of Swami Vivekananda: Culture, The Psychological Cultivation of The Mind
Abstract: Man consists of two factors, the mind and the body. Mind with its perception is said to be directly opposed to, though somehow or other familiarly connected with, the body with its extension for, the mind has no expansion, and the body, consciousness. Now, the consciousness of mind assumes the form of reason in man, while consciousness is the common property of all living beings. Hence, the prominent yet often …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 29–33 Read article
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Identification of Brain Stroke Using Artificial Intelligence
Abstract: Globally, strokes are the primary cause of disability and mortality. Recently, machine learning (ML) and deep learning (DL) have been employed by artificial intelligence algorithms as effective stroke diagnosing techniques. These days, machine learning and data mining technologies are used in the construction of the main models. We have used five machine learning algorithms to determine if a stroke has occurred or is likely to occur based on a patient’s …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Identifying and Blocking of Non-productive Calls in Emergency Call System Using Machine Learning and IVRS Integration
Abstract: The Dial 100 emergency reaction gadget handles over 1,000,000 calls every day, with over 95% being unproductive, such as blank, machine-generated, and spoofed calls. These futile calls waste resources and put off responses to actual emergencies. This look presents a comprehensive solution integrating advanced name evaluation, system learning, and an interactive voice response system (IVRS) to filter out and prevent these calls. Our technique starts with studying incoming calls to …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 20–28 Read article
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Deep Analysis of the Banknote Identification and Counterfeit Detection
Abstract: The production of counterfeit paper currencies has become cheaper due to advancements in printing technologies and graphic design. The circulation of fake currencies negatively impacts a country’s economy. This paper aims to develop an intelligent system for detecting and categorizing counterfeit currencies, which also plays a significant role in the field of human–computer interaction (HCI). The paper delves into the history of counterfeit currencies and the development of techniques used …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 13–17 Read article
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An Innovative AI-Integrated Approach for Identifying the Tensile Robustness of Polymeric Materials
Abstract: Polymeric materials have so many applications and character similar to flexibility, robustness and lightweight nature they are essential to a large variety of industries. Though, it is difficult to establish their tensile robustness appropriately, particularly in a variety of environmental situation. Provide a recommended Artificial Intelligence (AI)-integrated method to decide the issues of rapidly ascertaining the tensile robustness of the polymeric material. Using machine learning (ML), this study, predicted and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 90–97 Read article
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AI-Powered Architectural Ideation: From Sketch to Script
Abstract: Artificial Intelligence (AI) is redefining the landscape of architectural education by altering how students conceptualize, design, and execute their projects. As emerging technologies continue to permeate architecture, AI holds a central role in shaping future architectural pedagogy. The integration of AI in architectural studies has introduced new methodologies, facilitating complex design processes, sustainability assessments, and improved efficiency. This abstract explores how AI tools like generative design software, digital twins, and …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Pneumonia Identification Using Explainable Artificial Intelligence
Abstract: Pneumonia, including tuberculosis (TB), remains one of the leading causes of death worldwide, especially in regions where access to healthcare is limited. Early and accurate diagnosis is critical for effective treatment and better patient outcomes, but traditional methods are time-consuming and require specialized expertise. This study explores the use of advanced deep learning models VGG16, VGG19, and ResNet50 to detect pneumonia and TB from chest X-ray images. By leveraging transfer …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 01–11 Read article
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Leveraging Deep Learning for Accurate Weed Identification
Abstract: Weed control is very important for all types of agricultural businesses. The project here revolves around the application of computer vision techniques and, more concretely, deep learning techniques, for the effective recognition and classification of weeds. The EfficientNetB4 architecture is an appropriate backbone as its scalability and performance optimization is adequate. The modifier used is Adam optimization algorithm which will serve as a pre- processor for the model. Weeds at …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 90–99 Read article
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New Ideas in Quantum RF
Abstract: Quantum RF Innovations is leading the way in next-generation wireless technologies by connecting old radio frequency systems with new quantum- enabled solutions. Our goal is to change the way signals are processed, communicated, and sensed by using advanced quantum principles and cutting- edge RF engineering. We are creating a new class of devices and systems that can achieve ultra-low-noise signal amplification, unprecedented spectrum control, and quantum-secured communication through interdisciplinary research …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 35–43 Read article
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Synthesis, Identification and Bio Evaluation of New Thiophene Derivatives
Abstract: Thiophene is considered one of the most effective cyclic sulfur compounds in organic and pharmaceutical chemistry due to its high stability in various chemical reactions. It plays a key role as an antifungal agent in treating skin allergies, as well as in the preparation of polymers, rubber, and other materials. Recent research has focused on incorporating sulfur compounds into the synthesis of organic compounds because of their high stability in …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 32–44 Read article
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Activated Carbon Materials as Ideal Adsorbents for the Desulfurization of Fossil Fuels
Abstract: Removal of organosulfur compounds from diesel is of interest from scientific, social, economic, and environmental viewpoints. Production of clean fuel remains a primary goal of the petroleum refining industry. The reduction of sulfur content below stringent ppm levels in diesel fuels becomesincreasingly challenging due to the presence of sterically hindered sulfur compounds, such as 4,6- dialkyldibenzothiophenes, which are resistant to removal over conventional supported mixed sulfide hydrodesulfurization catalysts. Consequently, alternative …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 28–34 Read article
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Looking into new ideas in green chemistry
Abstract: Green chemistry has become a revolutionary way to change chemical processes such that they have less of an effect on the environment while still being efficient and cost-effective. This article looks at new developments in green chemistry that go beyond small changes and offer completely new ways to build chemicals that are good for the environment. There is a lot of focus on innovative catalytic systems, sustainable feedstocks, reaction pathways …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 10–18 Read article
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Identification of Moisture Content in Paper Industry Using PID Auto-Tuning
Abstract: The maintenance of removal of moisture content in pulp is one of the major challenges in paper manufacturing process. In some paper industries, the above process is carried out using open loop method. This method uses more labor to monitor and control the process parameters such as moisture and temperature. Also the accurate maintenance is not possible and it takes more time for tuning the process parameter. So the closed …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 1, 2016 · pp. 15–25 Read article
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Identification of Die Erosion or Pit Marks & Development of Preventive Maintenance Procedure for Die Keeping
Abstract: The objective of this project is to provide a technical solution needed to minimize the uncertainty and defects, such as Die Erosion or Pit Marks on dies used for casting & to give preventive maintenance procedure for Die Keeping at Sigma Electric Mfg. Corp. Ltd., Chakan, Pune. The aim is to achieve the zero defect production & good rate of production by eliminating the defects such as Die Erosion or …
Published in Journal of Microcontroller Engineering and Applications · Vol. 7, Issue 3, 2020 · pp. 8–12 Read article