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| 1 | Mesenteric Venous Thrombosis显示文摘 | Bashar Hmoud Ashwani K. Singal Patrick S. Kamath | 2014 | Journal of Clinical and Experimental Hepatology2014，，： | 2 |
| 2 | Candida glabrata fungemia:ex-perience in a tertiary care center显示文摘 | Malani A Hmoud J Chiu L | 2005 | Clin Infect Dis2005，41，6： | 1 |
| 3 | Microemulsions are membrane - active, antimicrobial, self - preserving systems 显示文摘 | Al- Adham IS Khalil E Al- Hmoud ND | 2000 | J Appl Microbiol2000，89，1： | 1 |
| 4 | 对急性憩室出血患者进行早期结肠镜诊治可提高医疗资源利用率显示文摘背景:在发达国家,憩室出血是严重的急性下消化道出血最常见的原因。早期结肠镜(≤24小时)的作用仍然存在争议,目前尚无早期肠镜应用于急性憩室出血的数据。本研究旨在通过美国全国住院患者样本库,评估结肠镜诊治的时机对急性憩室出血患者预后的影响。方法:采用第9版国际疾病分类(ICD 9),对全国住院患者样本库中2012-2014年间的病例进行选择并提取资料。纳入出院诊断(包括主要诊断或第二诊断)为憩室病合并出血和憩室炎合并出血的病例,排除年龄不满18周岁以及住院期间未行结肠镜检查的病例。首要结局指标为住院时间和住院总费用。结果:共计88,600例患者纳入研究,其中45,020例(50.8%)在入院24小时内接受了结肠镜检查(早期肠镜组),而另外43,580例(49.2%)则是在入院24小时后行结肠镜检查(晚期肠镜组)。早期肠镜组较晚期肠镜组患者住院时间显著缩短(3.7天vs 5.6天,P<0.001),住院总花费显著降低($9317 vs$11,767,P<0.001)。两组患者病死率的差异无统计学意义(0.7%vs 0.8%)。对潜在致混淆因素进行校正后,两组间住院时间和住院总费用的差异仍然具有统计学意义。结论:对于急性憩室出血,早期结肠镜诊治可显著缩短住院时间,降低住院费用,而且并不会增加病死率。选择适宜的急性憩室出血病例进行早期结肠镜诊治,具有节省医疗资源的潜在意义。进一步研究需明确哪些憩室出血患者能从早期结肠镜诊治中获益。 | Hamzeh Saraireh Obada Tayyem Mohamed Tausif Siddiqui Bashar Hmoud Mohammad Bilal | 2019 | Gastroenterology Report2019，7，2： | 1 |
| 5 | Candida glabrata fungemia:experience in a tertiary care center显示文摘 | Malani A Hmoud J Chiu L | 2005 | Clin Infect Dis2005，41，6： | 1 |
| 6 | Resilient linear filtering of uncertain systems显示文摘 | HMOUD M S | 2004 | Automatic2004，40，10： | 1 |
| 7 | Candida glabrata fugemia experience in a tertiary care center显示文摘 | Malani A Hmoud J Chiu L | | Clin Infect Dis0，41，6： | 1 |
| 8 | Evolving frequency and outcomes of liver transplantation based on etiology of liver disease显示文摘 | Singal AK Guturu P Hmoud B | 2013 | Transplantation2013，95，5： | 1 |
| 9 | Candidaglabrata fugemia experience in a tertiary care center显示文摘 | Malani A Hmoud J Chiu L | 2005 | Clin Infect Dis2005，41，6： | 1 |
| 10 | Mesenteric venous thrombosis显示文摘 | Hmoud B Singal AK Kamath PS | 2014 | J Clin Exp Hepatol2014，4，3： | 1 |
| 11 | Evolving frequency and outcomes of liver transplantation based on etiology of liver disease 显示文摘 | Singal AK Guturu P Hmoud B | 2013 | Transplantation2013，95，5： | 1 |
| 12 | Outcome after liver transplantation for cirrhosis due to alcohol and hepatitis C:comparison to alcoholic cirrhosis and hepatitis C cirrhosis显示文摘 | Singal AK Hmoud BS Guturu P | 2013 | J Clin Gastroenterol2013，47，8： | 1 |
| 13 | Outcomes of livertransplantation alone after listing for simultaneous kidney:comparison to simultaneous liver kidney transplantation显示文摘 | Hmoud B Kuo Y Wiesner RH | 2015 | Transplantation2015，99，4： | 1 |
| 14 | The current management of rectal cancer显示文摘 | Ross HM Ma hmoud NN Fry RD | 2005 | Curr Probl Surg2005，142，2： | 1 |
| 15 | Candida glabrata fungemia: experience in a tertiary care center显示文摘 | Malani A Hmoud J Chiu L | 2005 | Clin Infect Dis2005，41，6： | 1 |
| 16 | Outcomes after liver transplantation for alcoholic hepatitis are similar to alcoholic cirrhosis: Exploratory analysis from the UNOS database显示文摘 | Ashwani K. Singal Hmoud Bashar Bhupinderjit S. Anand Sarat C. Jampana Vineet Singal Yong‐Fang Kuo | 2012 | Hepatology2012，，5： | 1 |
| 17 | Deep Learning and Holt-Trend Algorithms for Predicting Covid-19 Pandemic显示文摘The Covid-19 epidemic poses a serious public health threat to the world,where people with little or no pre-existing human immunity can be more vulnerable to its effects.Thus,developing surveillance systems for predicting the Covid-19 pandemic at an early stage could save millions of lives.In this study,a deep learning algorithm and a Holt-trend model are proposed to predict the coronavirus.The Long-Short Term Memory(LSTM)and Holttrend algorithms were applied to predict confirmed numbers and death cases.The real time data used has been collected from theWorld Health Organization(WHO).In the proposed research,we have considered three countries to test the proposed model,namely Saudi Arabia,Spain and Italy.The results suggest that the LSTM models show better performance in predicting the cases of coronavirus patients.Standard measure performance Mean squared Error(MSE),Root Mean Squared Error(RMSE),Mean error and correlation are employed to estimate the results of the proposed models.The empirical results of the LSTM,using the correlation metrics,are 99.94%,99.94%and 99.91%in predicting the number of confirmed cases in the three countries.As far as the results of the LSTM model in predicting the number of death of Covid-19,they are 99.86%,98.876%and 99.16%with respect to Saudi Arabia,Italy and Spain respectively.Similarly,the experiment’s results of the Holt-Trend model in predicting the number of confirmed cases of Covid-19,using the correlation metrics,are 99.06%,99.96%and 99.94%,whereas the results of the Holt-Trend model in predicting the number of death cases are 99.80%,99.96%and 99.94%with respect to the Saudi Arabia,Italy and Spain respectively.The empirical results indicate the efficient performance of the presented model in predicting the number of confirmed and death cases of Covid-19 in these countries.Such findings provide better insights regarding the future of Covid-19 this pandemic in general.The results were obtained by applying time series models,which need to be considered for the sake of saving the lives of many people. | Theyazn H.H.Aldhyani Melfi Alrasheed Mosleh Hmoud Al-Adaileh Ahmed Abdullah Alqarni Mohammed Y.Alzahrani Ahmed H.Alahmadi | 2021 | Computers, Materials & Continua2021，，5： | 0 |
| 18 | Human-Animal Affective Robot Touch Classification Using Deep Neural Network显示文摘Touch gesture recognition is an important aspect in human-robot interaction,as it makes such interaction effective and realistic.The novelty of this study is the development of a system that recognizes human-animal affective robot touch(HAART)using a deep learning algorithm.The proposed system was used for touch gesture recognition based on a dataset provided by the Recognition of the Touch Gestures Challenge 2015.The dataset was tested with numerous subjects performing different HAART gestures;each touch was performed on a robotic animal covered by a pressure sensor skin.A convolutional neural network algorithm is proposed to implement the touch recognition system from row inputs of the sensor devices.The leave-one-subject-out cross-validation method was used to validate and evaluate the proposed system.A comparative analysis between the results of the proposed system and the state-of-the-art performance is presented.Findings show that the proposed system could recognize the gestures in almost real time(after acquiring the minimum number of frames).According to the results of the leave-one-subject-out cross-validation method,the proposed algorithm could achieve a classification accuracy of 83.2%.It was also superior compared with existing systems in terms of classification ratio,touch recognition time,and data preprocessing on the same dataset.Therefore,the proposed system can be used in a wide range of real applications,such as image recognition,natural language recognition,and video clip classification. | Mohammed Ibrahim Ahmed Al-mashhadani Theyazn H.H.Aldhyani Mosleh Hmoud Al-Adhaileh Alwi M.Bamhdi Mohammed Y.Alzahrani Fawaz Waselallah Alsaade Hasan Alkahtani | 2021 | Computer Systems Science & Engineering2021，38，7： | 0 |
| 19 | Arsenic Detection Using Surface Plasmon Resonance Sensor With Hydrous Ferric Oxide Layer显示文摘The lethality of inorganic arsenic(As)and the threat it poses have made the development of efficient As detection systems a vital necessity.This research work demonstrates a sensing layer made of hydrous ferric oxide(Fe_(2)H_(2)O_(4))to detect As(Ⅲ)and As(Ⅴ)ions in a surface plasmon resonance system.The sensor conceptualizes on the strength of Fe_(2)H_(2)O_(4) to absorb As ions and the interaction of plasmon resonance towards the changes occurring on the sensing layer.Detection sensitivity values for As(Ⅲ)and As(Ⅴ)were 1.083°·ppb^(–1) and 0.922°·ppb^(-1),respectively,while the limit of detection for both ions was 0.6 ppb.These findings support the feasibility and potential of the sensor configuration towards paving future advancement in As detection systems. | Yasmin MUSTAPHA KAMIL Sura Hmoud AL-REKABI Muhammad Hafiz ABU BAKAR Yap Wing FEN Husam Abduldaem MOHAMMED Nor Hafizah MOHAMED HALIP Mohammed Thamer ALRESHEEDI Mohd Adzir MAHDI | 2022 | Photonic Sensors2022，12，3： | 0 |
| 20 | Effects of a low-radiotoxicity uranium salt(uranyl acetate) on biochemical and hematological parameters of the catfish,Clarias gariepinus显示文摘Specimens of Clarias gariepinus were treated with lethal(70,75,80,85,90,and 95 mg/L) and sub-lethal concentrations(8,12 and 16 mg/L) of uranyl acetate,a low-radiotoxicity uranium salt. The LC 50 value was registered as 81.45 mg/L. The protein and glycogen concentrations in liver and muscles were decreased in the fish exposed to sub-lethal concentrations. The red blood cell(RBC) and white blood cell(WBC) counts,haemoglobin(Hb) concentration and haematocrit(Hct) values were decreased. Different blood indices like mean corpuscular volume(MCV),mean corpuscular haemoglobin(MCH) and mean corpuscular haemoglobin concentration(MCHC) were negatively affected. Level of plasma glucose was elevated whereas protein was decreased. The level of calcium concentration(Ca) was declined in the blood of exposed fish whereas magnesium(Mg) remains unchanged. The activity level of glutamic-oxaloacetic transaminase(GOT) and glutamic-pyruvic transaminase(GPT) was elevated in exposed fish. These effects were more pronounced in the last period of exposure and in higher concentrations. Results of the present study indicate that uranyl acetate has adverse effects on C larias gariepinus and causes changes in the biochemical and hematological parameters of the fish. | Khalid.A.AL-GHANIM Zubair AHMAD Hmoud F.Al-Kahem AL-BALAWI Fahad AL-MISNED Shahid MABOOB El-Amin M.SULIMAN | 2016 | Chinese Journal of Oceanology and Limnology2016，34，1： | 0 |
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