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Status of Renal and Liver Function in Rheumatoid Arthritis (RA) Patients of Chattogram, Bangladesh Treated with Methotrexate (MTX)

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Journal of Biosciences and Medicines 2023年第9期11卷 114-126页

作者： Mohammad Razuanul Hoque Md. Abdur Razzaque Abrar Nafis Mohammad Shahriar Zawad sharaf wasima rahman Department of Biochemistry and Molecular Biology University of Chittagong Chattogram Bangladesh Department of Rheumatology Chittagong Medical College Hospital Chattogram Bangladesh

Rheumatoid Arthritis (RA) is a chronic autoimmune disorder that is usually manifested as inflammation in multiple joints and several extra-articular symptoms, involving the liver, kidney, eye, skin, blood, blood vessels, heart, lungs, nervous system, and other organs. Methotrexate (MTX) is the anchor drug that treats RA. As renal and liver abnormalities are more common during disease conditions as well as during the treatment period, we tried to find out if there is any impact of MTX in these organs during the treatment of RA patients. Once the disease complications are developed, it is quite difficult to reverse the disease, and treatment in this situation is not very effective. Consequently, patients suffer a lot. So, early evaluation of renal and liver function is essential for the treatment of RA patients and it might also help prevent different complications which are usually very frequently observed. This was a cross-sectional study. A total of 150 RA patients treated with MTX were evaluated for the study where female and male respondents were 115 and 35 respectively. In this study, we found that 82% of RA patients had creatinine levels ≤ 1.1 mg/dL although the normal range of serum creatinine is below 1.4 mg/dL. Usually, a 15% increase in Serum creatinine level from the baseline is considered renal impairment. We found 4% of such cases. Moreover, 2% of RA patients had creatinine levels above the normal range of 1.4 mg/dL and those patients were hypertensive as well. So, a total (4 + 2 = 6)% had renal impairments. Among them, 5% had diabetes mellitus. On the other hand, the ultrasonogram (USG) of RA patients with kidney disease showed signs of renal parenchymal disease and 3% of RA patients having renal problems whose serum creatinine level was within the normal range showed signs of chronic kidney disease (CKD). On the other hand, 2% of RA patients showed signs of hepatic parenchymal disease. In this study, 69% of RA patients had ALT levels ≤ 50 mg/dL, 23% ha

关键词： Rheumatoid Arthritis Renal Function Liver Function C-Reactive Protein Methotrexate

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A Deep Learning Approach to Industrial Corrosion Detection

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Computers, Materials & Continua 2024年第11期81卷 2587-2605页

作者： Mehwash Farooqui Atta rahman Latifa Alsuliman Zainab Alsaif Fatimah Albaik Cadi Alshammari Razan sharaf Sunday Olatunji Sara Waslallah Althubaiti Hina Gull Department of Computer Engineering(CE) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer Science(CS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer Information Systems(CIS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

The proposed study focuses on the critical issue of corrosion,which leads to significant economic losses and safety risks worldwide.A key area of emphasis is the accuracy of corrosion detection *** recent studies have made progress,a common challenge is the low accuracy of existing detection *** models often struggle to reliably identify corrosion tendencies,which are crucial for minimizing industrial risks and optimizing resource *** proposed study introduces an innovative approach that significantly improves the accuracy of corrosion detection using a convolutional neural network(CNN),as well as two pretrained models,namely YOLOv8 and *** leveraging advanced technologies and methodologies,we have achieved high accuracies in identifying and managing the hazards associated with corrosion across various industrial *** advancement not only supports the overarching goals of enhancing safety and efficiency,but also sets a new benchmark for future research in the *** results demonstrate a significant improvement in the ability to detect and mitigate corrosion-related concerns,providing a more accurate and comprehensive solution for industries facing these *** CNN and EfficientNetB0 exhibited 100%accuracy,precision,recall,and F1-score,followed by YOLOv8 with respective metrics of 95%,100%,90%,and 94.74%.Our approach outperformed state-of-the-art with similar datasets and methodologies.

关键词： Deep learning YOLOv8 EfficientNetB0 CNN corrosion detection Industry 4.0 sustainability

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