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| 1 | Ampullary carcinoma:Effect of preoperative biliary drainage on surgical outcome显示文摘AIM: To evaluate the influence of preoperative biliary drainage on morbidity and mortality after surgical resection for ampullary carcinoma. METHODS: We analyzed retrospectively data for 82 patients who underwent potentially curative surgery for ampullary carcinoma between September 1993 and July 2007 at the Singapore General Hospital, a tertiary referral hospital. Diagnosis of ampullary carcinoma was confirmed histologically. Thirty-five patients underwent preoperative biliary drainage (PBD group), and 47 were not drained (non-PBD group). The mode of biliary drainage was endoscopic retrograde cholangiopancreatography (n = 33) or percutaneous biliary drainage (n = 2). The following parameters were analyzed: wound infection, intra-abdominal abscess, intra-abdominal or gastrointestinal bleeding, septicemia, biliary or pancreatic leakage, pancreatitis, gastroparesis, and re-operation rate. Mortality was assessed at 30 d (hospital mortality) and also longterm. The statistical endpoint of this study was patient survival after surgery. RESULTS: The groups were well matched for demographic criteria, clinical presentation and operative characteristics, except for lower hemoglobin in the non-PBD group (10.9 ± 1.6 vs 11.8 ± 1.6 in the PBD group).Of the parameters assessing postoperative morbidity, incidence of wound infection was signif icantly less in the PBD than the non-PBD group [1 (2.9%) vs 12 (25.5%)]. However, the rest of the parameters did not differ signif icantly between the groups, i.e. sepsis [10 (28.6%) vs 14 (29.8%)], intra-abdominal bleeding [1 (2.9%) vs 5 (10.6%)], intra-abdominal abscess [1 (2.9%) vs 8 (17%)], gastrointestinal bleeding [3 (8.6%) vs 5 (10.6%)], pancreatic leakage [2 (5.7%) vs 3 (6.4%)], biliary leakage [2 (5.7%) vs 3 (6.4%)], pancreatitis [2 (5.7%) vs 2 (4.3%)], gastroparesis [6 (17.1%) vs 10 (21.3%)], need for blood transfusion [10 (28.6%) vs 17 (36.2%)] and re-operation rate [1 (2.9%) vs 5 (10.6%)]. There was no early mortality in either group. Median survival was 44 mo (95% CI: 34.2-53.8) in the PBD group and 41 mo (95% CI: 27.7-54.3; P = 0.86) in the non-PBD group. CONCLUSION: Biliary drainage before surgery for ampullary cancer significantly reduced postoperative wound infection. Overall mortality was not influenced by preoperative drainage. | Sheikh Anwar Abdullah Tarun Gupta Khairul Azhar Jaafar Yaw Fui Alexander Chung London Lucien Peng Jin Ooi Steven Joseph Mesenas | 2009 | World Journal of Gastroenterology2009，15，23： | 16 |
| 2 | Characterization of clarithromycin resistance in Malaysian isolates of Helicobacter pylori显示文摘AIM:To characterize the types of mutations present in the 23S rRNA genes of Malaysian isolates of clarithromycin-resistant Helicobacter pylori (H pylori).METHODS: Clarithromycin susceptibility of H pylori isolates was determined by E test. Analyses for point mutations in the domain V of 23S rRNA genes in clarithromycin-resistant and-sensitive strains were performed by sequence analysis of amplified polymerase chain reaction products. Restriction fragment length polymorphism was performed using Bsa-RESULTS: Of 187 isolates from 120 patients, four were resistant to clarithromycin, while 183 were sensitive. The MIC of the resistant strains ranged from 1.5 to 24 μg/mL. Two isolates had an A2142G mutation and another two had A2143G mutations. A T2182C mutation was detected in two out of four clarithromycin-resistant isolates and in 13 of 14 clarithromycin-sensitive isolates. Restriction enzyme analyses with Bsa-CONCLUSION: Clarithromycin resistance is an un-common occurrence among Malaysian isolates of H pylori strains and the mutations A2142G and A2143G detected were associated with low-level resistance. | Norazah Ahmad Wan Rasinah Zakaria Sheikh Anwar Abdullah Ramelah Mohamed | 2009 | World Journal of Gastroenterology2009，15，25： | 4 |
| 3 | Effect of applying rhizobacteria and fertilizer on the growth of Ludwigia octovalvis for arsenic uptake and accumulation in phytoremediation显示文摘 | Harmin Sulistiyaning Titah Siti Rozaimah Sheikh Abdullah Idris Mushrifah Nurina Anuar Hassan Basri Muhammad Mukhlisin | 2013 | Ecological Engineering2013，，： | 1 |
| 4 | Implementation of Chemical Health Risk Assessment in Teaching Laboratories 显示文摘 | Siti Nurul Hunadia Husin Abu Bakar Mohamad Siti Rozaimah Sheikh Abdullah& Nurina Anuar | 2012 | Asian Social Science2012，16，8： | 1 |
| 5 | A review on heavy metals (As, Pb, and Hg) uptake by plants through phytoremediation显示文摘 | TANGAHIU B V SHEIKH ABDULLAH S R BASRI H | 2011 | International Journal of Chemical Reactor Engineering2011，20，11： | 1 |
| 6 | l Ampullary carcinoma: Effect of preoperative biliary drainage on surgical outcome 显示文摘 | Sheikh Anwar Abdullah Tarun Gupta Khairul Azhar Jaafar Yaw Fui Alexander Chung eta | 2008 | World Joural ofGastroenterology2008，53，72： | 1 |
| 7 | Application of response surface methodology(RSM)for optimisation of COD,NH3-N and 2,4-DCP removal from recycled paper wastewater in a pilot-scale granular activated carbon sequencing batch biofilm reactor(GAC-SBBR)显示文摘 | Mohd Hafizuddin Muhamad Siti Rozaimah Sheikh Abdullah Abu Bakar Mohamad | 2013 | Journal of Environmental Management2013，121，： | 1 |
| 8 | Simultaneous NH4+-N and Mn2+removal from drinking water using a biological aerated filter system: Effects of different aeration rates显示文摘 | HASAN Hassimi Abu ABDULLAH Siti Rozaimah Sheikh KAMARUDIN Siti Kartom | 2013 | Separation and Purifi- cation Technology2013，118，： | 1 |
| 9 | Locally produced tumor necrosis factor-alpha mediates interleukin-2-induced lung injury显示文摘 | Rabinovici R Feuerstein G Abdullah F Whiteford M Borboroglu P Sheikh E | 1996 | Circ Res1996，78，2： | 1 |
| 10 | Isolation and Screening of Rhizobacteria from Scirpus Grossus Plant after Lead (Pb) Exposure显示文摘 | Bieby Voijant Tangahu Siti Rozaimah Sheikh Abdullah Hassan Basri Mushrifah Idris Nurina Anuar Muhammad Mukhlisin | 2011 | Journal of Civil Engineering and Architecture2011，5，6： | 0 |
| 11 | Text Extraction with Optimal Bi-LSTM显示文摘Text extraction from images using the traditional techniques of image collecting,and pattern recognition using machine learning consume time due to the amount of extracted features from the images.Deep Neural Networks introduce effective solutions to extract text features from images using a few techniques and the ability to train large datasets of images with significant results.This study proposes using Dual Maxpooling and concatenating convolution Neural Networks(CNN)layers with the activation functions Relu and the Optimized Leaky Relu(OLRelu).The proposed method works by dividing the word image into slices that contain characters.Then pass them to deep learning layers to extract feature maps and reform the predicted words.Bidirectional Short Memory(BiLSTM)layers extractmore compelling features and link the time sequence fromforward and backward directions during the training phase.The Connectionist Temporal Classification(CTC)function calcifies the training and validation loss rates.In addition to decoding the extracted feature to reform characters again and linking them according to their time sequence.The proposed model performance is evaluated using training and validation loss errors on the Mjsynth and Integrated Argument Mining Tasks(IAM)datasets.The result of IAM was 2.09%for the average loss errors with the proposed dualMaxpooling and OLRelu.In the Mjsynth dataset,the best validation loss rate shrunk to 2.2%by applying concatenating CNN layers,and Relu. | Bahera H.Nayef Siti Norul Huda Sheikh Abdullah Rossilawati Sulaiman Ashwaq Mukred Saeed | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 12 | Novel Adaptive Binarization Method for Degraded Document Images显示文摘Achieving a good recognition rate for degraded document images is difficult as degraded document images suffer from low contrast,bleedthrough,and nonuniform illumination effects.Unlike the existing baseline thresholding techniques that use fixed thresholds and windows,the proposed method introduces a concept for obtaining dynamic windows according to the image content to achieve better binarization.To enhance a low-contrast image,we proposed a new mean histogram stretching method for suppressing noisy pixels in the background and,simultaneously,increasing pixel contrast at edges or near edges,which results in an enhanced image.For the enhanced image,we propose a new method for deriving adaptive local thresholds for dynamic windows.The dynamic window is derived by exploiting the advantage of Otsu thresholding.To assess the performance of the proposed method,we have used standard databases,namely,document image binarization contest(DIBCO),for experimentation.The comparative study on well-known existing methods indicates that the proposed method outperforms the existing methods in terms of quality and recognition rate. | Siti Norul Huda Sheikh Abdullah Saad M.Ismail Mohammad Kamrul Hasan Palaiahnakote Shivakumara | 2021 | Computers, Materials & Continua2021，，6： | 0 |
| 13 | An Improved Encoder-Decoder CNN with Region-Based Filtering for Vibrant Colorization显示文摘Colorization is the practice of adding appropriate chromatic values to monochrome photographs or videos.A real-valued luminance image can be mapped to a three-dimensional color image.However,it is a severely ill-defined problem and not has a single solution.In this paper,an encoder-decoder Convolutional Neural Network(CNN)model is used for colorizing gray images where the encoder is a Densely Connected Convolutional Network(DenseNet)and the decoder is a conventional CNN.The DenseNet extracts image features from gray images and the conventional CNN outputs a^(*)b^(*)color channels.Due to a large number of desaturated color components compared to saturated color components in the training images,the saturated color components have a strong tendency towards desaturated color components in the predicted a^(*)b^(*)channel.To solve the problems,we rebalance the predicted a^(*)b^(*)color channel by smoothing every subregion individually using the average filter.2 stage k-means clustering technique is applied to divide the subregions.Then we apply Gamma transformation in the entire a^(*)b^(*)channel to saturate the image.We compare our proposed method with several existing methods.From the experimental results,we see that our proposed method has made some notable improvements over the existing methods and color representation of gray-scale images by our proposed method is more plausible to visualize.Additionally,our suggested approach beats other approaches in terms of Peak Signal-to-Noise Ratio(PSNR),Structural Similarity Index Measure(SSIM)and Histogram. | Mrityunjoy Gain Md Arifur Rahman Rameswar Debnath MrimMAlnfiai Abdullah Sheikh Mehedi Masud Anupam Kumar Bairagi | 2023 | Computer Systems Science & Engineering2023，46，7： | 0 |
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