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27. Evaluation of machine learning models for predicting TiO2 photocatalytic degradation of air contaminants.

Author

Javed, Muhammad Faisal, Shahab, Muhammad Zubair, Asif, Usama, Najeh, Taoufik, Aslam, Fahid, Ali, Mujahid, and Khan, Inamullah

Abstract

The escalation of global urbanization and industrial expansion has resulted in an increase in the emission of harmful substances into the atmosphere. Evaluating the effectiveness of titanium dioxide (TiO2) in photocatalytic degradation through traditional methods is resource-intensive and complex due to the detailed photocatalyst structures and the wide range of contaminants. Therefore in this study, recent advancements in machine learning (ML) are used to offer data-driven approach using thirteen machine learning techniques namely XG Boost (XGB), decision tree (DT), lasso Regression (LR2), support vector regression (SVR), adaBoost (AB), voting Regressor (VR), CatBoost (CB), K-Nearest Neighbors (KNN), gradient boost (GB), random Forest (RF), artificial neural network (ANN), ridge regression (RR), linear regression (LR1) to address the problem of estimation of TiO2 photocatalytic degradation rate of air contaminants. The models are developed using literature data and different methodical tools are used to evaluate the developed ML models. XGB, DT and LR2 models have high R2 values of 0.93, 0.926 and 0.926 in training and 0.936, 0.924 and 0.924 in test phase. While ANN, RR and LR models have lowest R2 values of 0.70, 0.56 and 0.40 in training and 0.62, 0.63 and 0.31 in test phase respectively. XGB, DT and LR2 have low MAE and RMSE values of 0.450 min-1/cm2, 0.494 min-1/cm2 and 0.49 min-1/cm2 for RMSE and 0.263 min-1/cm2, 0.285 min-1/cm2 and 0.29 min-1/cm2 for MAE in test stage. XGB, DT, and LR2 have 93% percent errors within 20% error range in training phase. XGB has 92% and DT, and LR2 have 94% errors with 20% range in test phase. XGB, DT, LR2 models remained the highest performing models and XGB is the most robust and effective in predictions. Feature importances reveal the role of input parameters in prediction made by developed ML models. Dosage, humidity, UV light intensity remain important experimental factors. This study will impact positively in providing efficient models to estimate photocatalytic degradation rate of air contaminants using TiO2. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Complications associated with HCV-related liver cirrhosis and their relationship with diabetic control. A tertiary care center study in Peshawar, Pakistan.

Author

Khan, Zahidullah, Ahmad, Wisal, Zaman, Mamoona, Khan, Inamullah, Haroon, Mohammad, Khan, Hamza Ali, Ullah, Irfan, and Zafar, Wadana

Subjects
HEPATIC encephalopathy, GLYCEMIC control, PEOPLE with diabetes, CIRRHOSIS of the liver, TEACHING hospitals
Abstract

Objective: To determine the frequencies of liver cirrhosis-associated complications in patients with HCV+ diabetic patients and its association with HbA1C. Study Design: Observational Cross-sectional study. Setting: Medical Wards of Khyber Teaching Hospital. Period: October 2019 to November 2020. Methods: After approval from the hospital ethical committee, all HCV positive diabetic patients were enrolled in the study. Informed consent was obtained and relevant examination was performed. Hematemesis was diagnosed clinically, while venous blood was sent for all routine and relevant specialized investigations. Twenty-four-hour urinary output was calculated. Abdominal ultrasounds and Triphasic CT abdomen were done where required. Data were collected on structurally designed proforma. All data were entered into SPSS version 22. Results: A total of 62 patients were enrolled. The mean age was 49. 23 years ± 11.72 SD. Twenty-three patients (37.1%) were males, while 39 patients (62.9%) were females. Forty-nine patients (79%) were PCR-positive for HCV. Most patients (58.1%) had less than five years duration of HCV. Frequency of SBP was 16.1%, hepatic encephalopathy was 22.6%, ascites was 40.3%, hematemesis was 11.3%, portal vein hypertension was 45.2%, and HCC 3.2%. On poststratification, significant associations emerged with age, where SBP (p <0.01), hepatic encephalopathy (p<0.001), and ascites (p<0.0001), increased with advancing age, while hematemesis (p<0.04) and portal vein hypertension (p<0.04) were more pronounced in younger patients. Conclusion: In conclusion, individuals with both chronic HCV and diabetes mellitus exhibit an increased risk of cirrhosis-related complications. The most common complication was portal vein hypertension followed by ascites and hepatic encephalopathy. The complications like SBP, Hepatic encephalopathy and ascites associated with increasing age. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Impact of unplanned readmissions on lumbar surgery outcomes: a national study of 33,447 patients

Author

Croft, Andrew J., primary, Pennings, Jacquelyn S., additional, Hymel, Alicia M., additional, Chanbour, Hani, additional, Khan, Inamullah, additional, Asher, Anthony L., additional, Bydon, Mohamad, additional, Gardocki, Raymond J., additional, Archer, Kristin R., additional, Stephens, Byron F., additional, Zuckerman, Scott L., additional, and Abtahi, Amir M., additional

Published
2023
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43. Molecular Insights into the In Vivo Analgesic and Anti-Inflammatory Activity of Indomethacin Analogues

Author

Ahmad, Abid Ali, primary, Hussain, Kashif, additional, Shah, Muhammad Raza, additional, Ashhad Halimi, Syed Muhammad, additional, Rabbi, Fazle, additional, Ahmad, Zahoor, additional, Khan, Inamullah, additional, Rauf, Abdur, additional, Alshammari, Abdulrahman, additional, Alharbi, Metab, additional, and Rasul Suleria, Hafiz Ansar, additional

Published
2023
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46. 101 30-Day Outcomes of Resolute Onyx Stent for Symptomatic Intracranial Stenosis: A Multicenter Propensity-Score Matched Comparison With SAMMPRIS Trial

Author

Siddiq, Farhan, primary, Nunna, Ravi Shankar, additional, Khan, Inamullah, additional, Khan, Musharaf, additional, Beall, Jonathan, additional, Tekle, Wondwossen, additional, Ezzeldin, Mohamad, additional, Tanweer, Omar, additional, Burkhardt, Jan-Karl, additional, Jabbour, Pascal, additional, Tjoumakaris, Stavropoula I., additional, Herial, Nabeel, additional, Siddiqui, Adnan Hussain, additional, Grandhi, Ramesh, additional, Qureshi, Adnan I., additional, and Hassan, Ameer O., additional

Published
2023
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47. Development and Validation of Cervical Prediction Models for Patient-Reported Outcomes at 1 Year After Cervical Spine Surgery for Radiculopathy and Myelopathy

Author

Archer, Kristin R., Bydon, Mohamad, Khan, Inamullah, Nian, Hui, Pennings, Jacquelyn S., Harrell, Frank E., Jr, Sivaganesan, Ahilan, Chotai, Silky, McGirt, Matthew J., Foley, Kevin T., Glassman, Steven D., Mummaneni, Praveen V., Bisson, Erica F., Knightly, John J., Shaffrey, Christopher I., Asher, Anthony L., and Devin, Clinton J.

Published
2020
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49. Climate corridors for strategic adaptation planning

Author

Orlowsky, Boris, Calanca, Pierluigi, Ali, Irshad, Ali, Jawad, Elguera Hilares, Agustin, Huggel, Christian, Khan, Inamullah, Neukom, Raphael, Nizami, Arjumand, Qazi, Muhammad Abbas, Robledo, Carmenza, Rohrer, Mario, Salzmann, Nadine, and Schmidt, Kaspar

Published
2017
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