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| 1 | Ureteroscopy (URS): an effective interventional and diagnostic 显示文摘 | Hasan AT | 2002 | J Pak Medassoc2002，52，： | 1 |
| 2 | Superficial bladder tumours : recurrence and progression 显示文摘 | Mansoor M Ali S Fasihuddin Q | 2011 | J Coll Physicians Surg Pak2011，21，3： | 1 |
| 3 | Antioxidant and antimicrobial properties of Litsea elliptica Blume and Litsea resinosa Blume(Lauraceae)显示文摘Objective:To investigate antioxidant and antimicrobial activities of two plant species,Litsea elliptica(L elliptica) and Litsea resinosa(L resinosa).Methods:In vitro method-2,2-diphenyl-1-picrylhydrazyl radical scavenging assay was conducted for antioxidant activity detennination while antimicrobial assay consisted of agar well diffusion assay and mycelial radial growth assay.Results:Methanol extracts of root and stem of L elliptica and L resinosa exhibited the highest antioxidant activity with EC_(50)of 23.99,41.69,11.22 and 33.48 mg/l.respectively.All methanol extracts of L resinosa as well as root extracts from L elliptica showed significant scavenging activity.Hexane extract from stem of L resinosa presented the largest inhibition zone in Gramnegative bacteria Pseudomonas aeruginosa and Escherichia coli while chloroform extract from inner bark of L resinosa showed major inhibition towards Gram-positive bacteria Bacillus subtilis.Essential oils from the root of both species showed significant antifungal activities which are 80.11%and 66.85%respectively.Conclusions:Overall,methanol extracts from root and stem of both species showed antioxidant activity comparable to standard butylated hydroxytoluene.Extracts from L resinosa demonstrated stronger antimicrobial properties compared to that from L elliptica. | Mui-Hung Wong Li-Fang Lim Fasihuddin bin Ahmad Zaini bin Assim | 2014 | Asian Pacific Journal of Tropical Biomedicine2014，4，5： | 1 |
| 4 | Physico-chemical characterisation of sago starch 显示文摘 | Fasihuddin B Ahmad Peter A Williams Jean-Louis Doublier | 1998 | Carbohydrate polymers1998，38，： | 1 |
| 5 | Physicochemical characterization of sago starch显示文摘 | Fasihuddin Bahmad Peter A Williams Jean-Louis Dou- blier | 1998 | Carbohydrate polymers1998，38，： | 1 |
| 6 | A comprehensive review of spontaneous pneumothorax complicating sarcoma显示文摘 | Hoag JB Sherman M Fasihuddin Q | | 0，，3： | 1 |
| 7 | Physicochemi- cal characterization of sago starch 显示文摘 | Fasihuddin B Peter A Jean-Louis D | 1998 | Carbohydrate Poly- mers1998，38，6： | 1 |
| 8 | Toxicity and antitermite activities of the essential oils from Piper sarmentosum显示文摘 | CHIENG T C ASSIM Z B FASIHUDDIN B A | 2008 | The Malaysian Journal of Analytical Sciences2008，12，1： | 1 |
| 9 | A Study of the in vitro cytotoxic activity of Gelsemium elegans using human ovarian and breast cancer cell lines显示文摘 | Khartini Abdul Wahabl Fasihuddin B Ahmad | 2004 | Tropical Biomedicine2004，21，2： | 1 |
| 10 | A comparative study of the composition of the leaf oils of three Litsea species from Borneo显示文摘 | Fasihuddin bin Ahmad lbrahim bin Jantan Bukhori Abu Bakar etc | 2005 | Journal of Essential Oil Research2005，17，3： | 1 |
| 11 | Isolation and characterization of dehydrogoniothalamin from Goniothalamus umbrosus显示文摘 | FASIHUDDIN B A LAILY B D | 2002 | Indian Journal of Chemistry2002，41，： | 1 |
| 12 | Physico-chemical characterisation of sago starch 显示文摘 | Fasihuddin B Ahmad Peter A Williams Jean- Louis Doublier | 1998 | Carbohydrate polymers1998，38，： | 1 |
| 13 | Ureteroscopy (URS) : an effective inter- ventional and diagnostic modality 显示文摘 | Fasihuddin Q Hasan AT | 2002 | J Pak Medassoc2002，52，11： | 1 |
| 14 | Physicochemical characterization of sago starch 显示文摘 | Fasihuddin B Ahmad Peter A Williams Jean-Louis Doublier | 1998 | Carbohydrate Polymers1998，38，： | 1 |
| 15 | An Improved DeepNN with Feature Ranking for Covid-19 Detection显示文摘The outbreak of Covid-19 has taken the lives of many patients so far.The symptoms of COVID-19 include muscle pains,loss of taste and smell,coughs,fever,and sore throat,which can lead to severe cases of breathing difficulties,organ failure,and death.Thus,the early detection of the virus is very crucial.COVID-19 can be detected using clinical tests,making us need to know the most important symptoms/features that can enhance the decision process.In this work,we propose a modified multilayer perceptron(MLP)with feature selection(MLPFS)to predict the positive COVID-19 cases based on symptoms and features from patients’electronic medical records(EMR).MLPFS model includes a layer that identifies the most informative symptoms to minimize the number of symptoms base on their relative importance.Training the model with only the highest informative symptoms can fasten the learning process and increase accuracy.Experiments were conducted using three different COVID-19 datasets and eight different models,including the proposed MLPFS.Results show that MLPFS achieves the best feature reduction across all datasets compared to all other experimented models.Additionally,it outperforms the other models in classification results as well as time. | Noha E.El-Attar Sahar F.Sabbeh Heba Fasihuddin Wael A.Awad | 2022 | Computers, Materials & Continua2022，，5： | 0 |
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