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7 articles for “isotopes”
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Application of an Online Chromium Reduction System for D/H Analysis of Water Samples with Large Isotopic Variations Using Conventional Mass Spectrometer
Abstract: We present an online chromium (Cr) reduction system for measuring the D/H ratio of water samples exhibiting significant isotopic contrast, where the memory effect cannot be overlooked. Memory compensation is incorporated into the analysis procedure to mitigate this effect, allowing the utilization of injection results that would otherwise be discarded due to the memory effect. This approach enables a faster analysis and an increased sample throughput. Additionally, crucial aspects of …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 7–12 Read article
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Radiopharmaceuticals use as a nuclear medicine for a Treatment of Disease
Abstract: Radiopharmaceuticals are radioactive substances that contain a bonded radionuclide with the intention of directing the radionuclide to a specific place for treatment or imaging. Radiopharmaceuticals are employed in nuclear medicine for cancer therapy as well as other therapeutic and diagnostic applications. Therefore, the primary goal of this study is to identify the key metal complexes and radioactive elements utilized in radiopharmaceutical applications. The sodium and methylenediphosphonate (MDP-99mTc) complexes, along with …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 17–21 Read article
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Advancements in Photocatalysis: Applications in Environmental Remediation
Abstract: The study of radioluminescence, a phenomenon where materials emit light upon exposure to ionizing radiation, has expanded significantly in recent years, finding applications in various fields, including environmental remediation, radiation detection, and dosimetry. This paper reviews recent advancements in radioluminescent technologies, particularly focusing on Radioluminescent Isotope Cells (RLICs) and semiconductor colloidal quantum dots (cQDs). The use of RLICs, particularly those based on 63Ni, demonstrates enhanced energy conversion efficiency through optimized …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 39–44 Read article
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Theoretical Study of Z = 122 Nuclei
Abstract: We used atomic nuclei with proton number Z = 122 to calculate bulk properties within the relativistic mean field (RMF) theory. We utilized the force parameters recognized as NL3 in our calculations. We extend our calculation to isotopic series of Z = 122 and analyses the theoretical outcomes. A whole isotopic chain of nuclei with atomic number 𝑍 = 122 Z=122 is included in our inquiry, enabling a methodical examination …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–9 Read article
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Role of Machine Learning Principles for Efficient Nuclear Fuel Management and Design
Abstract: The introduction of machine learning (ML) and evolutionary computation methods in addressing complex nuclear fuel management challenges has brought a significant positive change in the domain of nuclear fuel management. Key applications include fuel assembly design optimization, core loading pattern determination, burnup calculation acceleration, fuel performance prediction, and spent fuel characterization. The analysis reveals significant improvements in computational efficiency, prediction accuracy, and optimization capabilities when ML techniques are properly integrated …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–33 Read article
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Scientists Reinvent Low Energy Nuclear Reaction (LENR)/Cold Fusion
Abstract: Two of the researchers of The University of Utah, USA in 1989 named Dr. Martin Fleishmann and Stanley Pons declared that they had discovered a sustained nuclear fusion reaction at room temperature during electrolysis experiment that could solve the problem of energy requirement on this planet. The cold fusion reaction, also called low energy nuclear reaction (LENR) takes place at room temperature, unlike conventional fusion reaction where temperature required is …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 3, 2024 Read article
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article