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| 1 | Savings Dynamics in Asian Countries显示文摘 | Baharumshah A Z Thanoon M A Rashid S | | 0，，204： | 1 |
| 2 | Development of an innovative interlocking load bearing hollow block system in Malaysia显示文摘 | Waleed A Thanoon Mohd Saleh Jaafar Mohd Razali Abdul Kadir Abang Abdullah Abang Ali D.N Trikha Amad M.S Najm | 2004 | Construction and Building Materials2004，，6： | 1 |
| 3 | Comparative Effects of Glibenclamide and Metformin on C - Reactive Protein and Oxidant/Antioxidant Status in Patients with Type II Diabetes Mellitus 显示文摘 | Abdulkadir AA Thanoon IA | 2012 | Sultan Qaboos Univ Med J2012，12，1： | 1 |
| 4 | Repair and structural performance of initially cracked reinforced concrete slabs显示文摘 | Thanoon W A Jaafar M S Razali M A | 2005 | Construction and Building Materials2005，19，8： | 1 |
| 5 | Dexamucobase: A novel treatment for oral aphthous ulceration 显示文摘 | Al-Na' mah ZM Carson R Thanoon IA | 2009 | Quintes-sence Int2009，4040，5： | 1 |
| 6 | Dexamucobase: A novel treatment for oral aphthous ulceration 显示文摘 | Al-Nainah ZM Carson R Thanoon IA | 2009 | Quintessence Int2009，40，5： | 1 |
| 7 | Foreign capital flows and economic growth in East Asian countries 显示文摘 | Baharumshah A Z Thanoon M A M | 2006 | China Economic Review2006，，17： | 1 |
| 8 | Dexamucobase: A noveltreatment for oral aphthous ulceration 显示文摘 | Al-Namah ZM Carson R Thanoon IA | 2009 | Quintessence Int2009，40，5： | 1 |
| 9 | Oxidative stress and C- reactive protein in patients with cerebrovascular accident ( ischaemic stroke) :the role of Ginkgo biloba extract 显示文摘 | Thanoon IAJ Abdul-Jabbar HAS Taha DA | 2012 | Sultan Qaboos Univer- sity Medical Journal2012，12，2： | 1 |
| 10 | Dexamucobase: A novel treatment for oral aphthous ulceration 显示文摘 | Al-Nainah ZM Carson R Thanoon IA | 2009 | Quintessence Int2009，40，5： | 1 |
| 11 | Dexamucobase : a novel treatment for oral aphthous ulceration显示文摘 | A1-Namah ZM Carson R Thanoon IA | 2009 | Quintessence Int2009，40，5： | 1 |
| 12 | Antioxidant status, C-reactive protein andiron status in patients with pulmonary tuberculosis 显示文摘 | Taha DA Thanoon IA | 2010 | Sultan Qa-boos Univ Med J2010，10，3： | 1 |
| 13 | Comparative Effects of Glibenclamide and Metformin on C-reactive Protein and Oxidant/Antioxidant Status in Patients with Type II Di- abetes Mellitus显示文摘 | Abdulkadir AA Thanoon IA | 2012 | Sultan Qaboos Univ Med J2012，12，1： | 1 |
| 14 | Total testoster- one levels and the effect of sildenafil on type 2 diabetics with e- rectile dysfunetion显示文摘 | Hadeed NN Thanoon IA AI-Mukhtar SB | 2014 | Oman Med J2014，29，1： | 1 |
| 15 | Thermal and stress analysis of Kinta RCC dam 显示文摘 | Noorzaei J Bayagoob K H Thanoon W A | 2006 | Engineering Structures2006，28，13： | 1 |
| 16 | Thermal and Stress Analysis of Kinta RCC Dam 显示文摘 | Noorzaei J Bayagoob K H Thanoon W A | 2006 | Engineering Structures2006，28，13： | 1 |
| 17 | Development of an imovative interlocking load bearing hollow block system in Malaysia 显示文摘 | WA Thanoon MS Jaafar MRA Kadir | 2004 | Construction and Building Materials2004，18，6： | 1 |
| 18 | Artificial Intelligence Based Sentence Level Sentiment Analysis of COVID-19显示文摘Web-blogging sites such as Twitter and Facebook are heavily influenced by emotions,sentiments,and data in the modern era.Twitter,a widely used microblogging site where individuals share their thoughts in the form of tweets,has become a major source for sentiment analysis.In recent years,there has been a significant increase in demand for sentiment analysis to identify and classify opinions or expressions in text or tweets.Opinions or expressions of people about a particular topic,situation,person,or product can be identified from sentences and divided into three categories:positive for good,negative for bad,and neutral for mixed or confusing opinions.The process of analyzing changes in sentiment and the combination of these categories is known as“sentiment analysis.”In this study,sentiment analysis was performed on a dataset of 90,000 tweets using both deep learning and machine learning methods.The deep learning-based model long-short-term memory(LSTM)performed better than machine learning approaches.Long short-term memory achieved 87%accuracy,and the support vector machine(SVM)classifier achieved slightly worse results than LSTM at 86%.The study also tested binary classes of positive and negative,where LSTM and SVM both achieved 90%accuracy. | Sundas Rukhsar Mazhar Javed Awan Usman Naseem Dilovan Asaad Zebari Mazin Abed Mohammed Marwan Ali Albahar Mohammed Thanoon Amena Mahmoud | 2023 | Computer Systems Science & Engineering2023，47，10： | 0 |
| 19 | Toward Robust Classifiers for PDF Malware Detection显示文摘Malicious Portable Document Format(PDF)files represent one of the largest threats in the computer security space.Significant research has been done using handwritten signatures and machine learning based on detection via manual feature extraction.These approaches are time consuming,require substantial prior knowledge,and the list of features must be updated with each newly discovered vulnerability individually.In this study,we propose two models for PDF malware detection.The first model is a convolutional neural network(CNN)integrated into a standard deviation based regularization model to detect malicious PDF documents.The second model is a support vector machine(SVM)based ensemble model with three different kernels.The two models were trained and tested on two different datasets.The experimental results show that the accuracy of both models is approximately 100%,and the robustness against evasive samples is excellent.Further,the robustness of the models was evaluated with malicious PDF documents generated using Mimicus.Both models can distinguish the different vulnerabilities exploited in malicious files and achieve excellent performance in terms of generalization ability,accuracy,and robustness. | Marwan Albahar Mohammed Thanoon Monaj Alzilai Alaa Alrehily Munirah Alfaar Maimoona Algamdi Norah Alassaf | 2021 | Computers, Materials & Continua2021，，11： | 0 |
| 20 | 3D TECA hydrogel reduces cellular senescence and enhances fibroblasts migration in wound healing显示文摘This study was designed to investigate the effect of 3 D TECA hydrogel on the inflammatory-induced senescence marker, and to assess the influence of the gel on the periodontal lig-ament fibroblasts(PDLFs) migration in wound healing in vitro. PDLFs were cultured with20 ng/ml TNF-α to induce inflammation in the presence and absence of 50 μM 3 D TECA gelfor 14 d. The gel effect on the senescence maker secretory associated-β-galactosidase(SA-β-gal) activity was measured by a histochemical staining. Chromatin condensation and DNAsynthesis of the cells were assessed by 4,6-diamidino-2-phenylindole and 5-ethynyl-2-deoxyuridine fluorescent staining respectively. For evaluating fibroblasts migration, scratchwound healing assay and Pro-Plus Imaging software were used. The activity of senescencemarker, SA-β-gal, was positive in the samples with TNF-α-induced inflammation. SA-β-galpercentage is suppressed( > 65%, P < 0.05) in the treated cells with TECA gel as compared tothe non-treated cells. Chromatin foci were obvious in the non-treated samples. DNA syn-thesis was markedly recognized by the fluorescent staining in the treated compared to non-treated cultures. Scratch wound test indicated that the cells migration rate was significantlyhigher(14.9 μm^2/h, P < 0.05) in the treated versus(11 μm^2/h) for control PDLFs. The new for-mula of 3 D TECA suppresses the inflammatory-mediated cellular senescence and enhancedfibroblasts proliferation and migration. Therefore, 3 D TECA may be used as an adjunct to ac-celerate repair and healing of periodontal tissues. | Luay Thanoon Younis Mohamed Ibrahim Abu Hassan Tara Bai Taiyeb Ali Tommy Julianto Bustami | 2018 | Asian Journal of Pharmaceutical Sciences2018，13，4： | 0 |
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