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| 1 | 碳纳米纤维改性热拌沥青混合料特性研究显示文摘该文介绍了一种碳纳米管纤维(Carbon Nano-fiber,CNF)改性沥青混合料制备工艺,利用此工艺分别制备对比试样以对CNF改性前后沥青混合料的粘弹特性、强度、抗永久变形能力和疲劳性能进行评价,同时采用扫描电子显微镜研究和分析CNF改性机理。结果显示:CNF能够提高沥青混合料的力学性能,并且通过桥接机制抑制微裂纹扩展。 | 王萌(编译) 刘慧杰(编译) 龚明辉(编译) 杨军(编译) 牛晓伟(编译) 吴春颖(编译) jamal khattak,mohammad khattab,ahmed r.rizvi,hashim | 2016 | 中外公路2016，36，1： | 7 |
| 2 | Impact of community-based interventions on HIV knowledge, attitudes, and transmission显示文摘In 2012,an estimated 35.3 million people lived with HIV,while approximately two million new HIV infections were reported.Community-based interventions(CBIs)for the prevention and control of HIV allow increased access and ease availability of medical care to population at risk,or already infected with,HIV.This paper evaluates the impact of CBIs on HIV knowledge,attitudes,and transmission.We included 39 studies on educational activities,counseling sessions,home visits,mentoring,women’s groups,peer leadership,and street outreach activities in community settings that aimed to increase awareness on HIV/AIDS risk factors and ensure treatment adherence.Our review findings suggest that CBIs to increase HIV awareness and risk reduction are effective in improving knowledge,attitudes,and practice outcomes as evidenced by the increased knowledge scores for HIV/AIDS(SMD:0.66,95%CI:0.25,1.07),protected sexual encounters(RR:1.19,95%CI:1.13,1.25),condom use(SMD:0.96,95%CI:0.03,1.58),and decreased frequency of sexual intercourse(RR:0.76,95%CI:0.61,0.96).Analysis shows that CBIs did not have any significant impact on scores for self-efficacy and communication.We found very limited evidence on community-based management for HIV infected population and prevention of mother-to-child transmission(MTCT)for HIV-infected pregnant women.Qualitative synthesis suggests that establishment of community support at the onset of HIV prevention programs leads to community acceptance and engagement.School-based delivery of HIV prevention education and contraceptive distribution have also been advocated as potential strategies to target high-risk youth group.Future studies should focus on evaluating the effectiveness of community delivery platforms for prevention of MTCT,and various emerging models of care to improve morbidity and mortality outcomes. | Rehana A Salam Sarah Haroon Hashim H Ahmed Jai K Das Zulfiqar A Bhutta | 2014 | Infectious Diseases of Poverty2014，3，1： | 3 |
| 3 | Predictors of thirty-day readmission in nonagenarians presenting with acute heart failure with preserved ejection fraction: a nationwide analysis显示文摘BACKGROUD Acute heart failure with preserved ejection fraction(HFpEF)is a common but poorly studied cause of hospital admissions among nonagenarians.This study aimed to evaluate predictors of thirty-day readmission,in-hospital mortality,length of stay,and hospital charges in nonagenarians hospitalized with acute HFpEF.METHODS Patients hospitalized between January 2016 and December 2018 with a primary diagnosis of diastolic heart failure were identified using ICD-10 within the Nationwide Readmission Database.We excluded patients who died in index admission,and discharged in December each year to allow thirty-day follow-up.Univariate regression was performed on each variable.Vari-ables with P-value<0.2 were included in the multivariate regression model.RESULTS From a total of 45,393 index admissions,43,646 patients(96.2%)survived to discharge.A total of 7,437 patients(15.6%)had a thirty-day readmission.Mean cost of readmission was 43,265 United States dollars(USD)per patient.Significant predictors of thirty-day readmission were chronic kidney disease stage III or higher[adjusted odds ratio(aOR)=1.20,95%CI:1.07−1.34,P=0.002]and diabetes mellitus(aOR=1.18,95%CI:1.07−1.29,P=0.001).Meanwhile,female(aOR=0.90,95%CI:0.82−0.99,P=0.028)and palliative care encounter(aOR=0.27,95%CI:0.21−0.34,P<0.001)were associated with lower odds of readmission.Cardiac arrhythmia(aOR=1.46,95%CI:1.11−1.93,P=0.007)and aortic stenosis(aOR=1.36,95%CI:1.05−1.76,P=0.020)were amongst predictors of in-hospital mortality.CONCLUSIONS In nonagenarians hospitalized with acute HFpEF,thirty-day readmission is common and costly.Chronic co-morbidities predict poor outcomes.Further strategies need to be developed to improve the quality of care and prevent the poor outcome in nonagenarians. | Ahmed Maraey Mahmoud Salem Nabila Dawoud Mahmoud Khalil Ahmed Elzanaty Hadeer Elsharnoby Ahmed Younes Ahmed Hashim Amit Alam | 2021 | Journal of Geriatric Cardiology2021，18，12： | 3 |
| 4 | Outcomes of surgical management of tracheobronchial injuries a case series from a developing country显示文摘客观 Tracheobronchial 损害被定义为从延长直到支气管的部门的环状的软骨的水平包含气管或支气管的损害。我们在场有大多数 tracheobronchial 损害的一个盒子系列发现了在渗透损伤以后被支撑。回顾的评论在统帅中亚细亚大学被执行的方法,喀拉蚩,巴基斯坦。从 2004 年 1 月到 2009 年 12 月,有胸的损伤的 168 个病人被对待,谁 15 被认出有主要 tracheobronchial 和肺的损害。结果平均年龄是与大多数是男性的病人(14:1 ) 一起的 31 年。在他们之中, 11 个病人让了作为损害的主要原因渗透损伤,有的 3 个病人从道路交通事故弄钝损伤,仅仅 1 个病人联合了损伤(钝、渗透的损伤) 。八个病人基于放射学的调查结果被诊断。所有病人通过手术被对待。叶切除术是在 7 个病人执行的最普通的干预。死亡率是 7%(1 个病人) 。当 5 与残疾幸存时,大多数病人没有 sequelae (10 个病人) 幸存。我们发现渗透损伤是在我们的系列的损害的领先的原因。损害的严厉取决于引起损伤的武器。在我们的系列的病人有多重损害并且要求了外科的管理。结论 Tracheobronchial 损害是稀罕的但是潜在地威胁的生活。他们要求快诊断和管理。自从没有目前可得到的专业化诊断形式,诊断趋于困难。 | Saulat H. Fatimi Hashim M. Hanif Ameera Ahmed Ghina Shamsi Marium Muzaffar | 2011 | Chinese Journal of Traumatology2011，14，3： | 2 |
| 5 | Impact of desalination plants fluid effluents on the integrity of seawater, with the Arabian Gulf in perspective 显示文摘 | Ahmed Hashim Muneer Hajjaj | 2005 | Desalination2005，182，123： | 1 |
| 6 | Role of endoscopic ultrasound and endoscopic ultrasound-guided tissue acquisition in diagnosing hepatic focal lesions显示文摘BACKGROUND Endoscopic ultrasonography(EUS)has become an established method in diagnostic and therapeutic procedures in gastroenterology;however,it has recently gained a growing role in hepatology.AIM To evaluate the role of EUS features,strain elastography(SE),and EUS-tissue acquisition in diagnosing hepatic focal lesions(HFLs)that could affect further management.METHODS This cross-sectional study included 215 patients with pancreatic,biliary,or gastrointestinal malignancies referred for EUS examination.HFLs were identified in 43 patients(20%),and EUSguided tissue acquisition was performed from these lesions.RESULTS EUS features were highly sensitive(100%)but much less specific(57%)in diagnosing HFLs;the overall accuracy was 94%.Real-time elastography was also very sensitive(97%)but less specific(67%)in diagnosing HFLs;however,the overall accuracy was 92%.EUS tissue acquisition was extremely sensitive(100%)and specific(100%),with a 100%overall diagnostic accuracy.CONCLUSION The diagnostic utility of EUS-guided tissue acquisition was extremely accurate in diagnosing HFLs.EUS characteristics and real-time SE accurately predicted the histological diagnosis of both benign and malignant HFLs. | Hussein Hassan Okasha Hanane Delsa Abdelmoneim Alsawaf Ahmed Morad Hashim Hani M Khattab Dalia Abdelfatah Abeer Abdellatef Amr Albitar | 2023 | World Journal of Methodology2023，13，4： | 1 |
| 7 | Hyperparameter Tuned Deep Learning Enabled Intrusion Detection on Internet of Everything Environment显示文摘Internet of Everything(IoE),the recent technological advancement,represents an interconnected network of people,processes,data,and things.In recent times,IoE gained significant attention among entrepreneurs,individuals,and communities owing to its realization of intense values from the connected entities.On the other hand,the massive increase in data generation from IoE applications enables the transmission of big data,from contextawaremachines,into useful data.Security and privacy pose serious challenges in designing IoE environment which can be addressed by developing effective Intrusion Detection Systems(IDS).In this background,the current study develops Intelligent Multiverse Optimization with Deep Learning Enabled Intrusion Detection System(IMVO-DLIDS)for IoT environment.The presented IMVO-DLIDS model focuses on identification and classification of intrusions in IoT environment.The proposed IMVO-DLIDS model follows a three-stage process.At first,data pre-processing is performed to convert the actual data into useful format.In addition,Chaotic Local Search Whale Optimization Algorithm-based Feature Selection(CLSWOA-FS)technique is employed to choose the optimal feature subsets.Finally,MVO algorithm is exploited with Bidirectional Gated Recurrent Unit(BiGRU)model for classification.Here,the novelty of the work is the application of MVO algorithm in fine-turning the hyperparameters involved in BiGRU model.The experimental validation was conducted for the proposed IMVO-DLIDS model on benchmark datasets and the results were assessed under distinct measures.An extensive comparative study was conducted and the results confirmed the promising outcomes of IMVO-DLIDS approach compared to other approaches. | Manar Ahmed Hamza Aisha Hassan Abdalla Hashim Heba G.Mohamed Saud S.Alotaibi Hany Mahgoub Amal S.Mehanna Abdelwahed Motwakel | 2022 | Computers, Materials & Continua2022，，12： | 1 |
| 8 | The Medical Man- agement of Urinary Incontinence 显示文摘 | Ahmed S Marcus J D Hashim | 2010 | Autonomic Neuroscience:Basic and Clinical2010，152，12： | 1 |
| 9 | A biopsy simulation study to assess the accuracy of several transrectal ultrasonography (TRUS)‐biopsy strategies compared with template prostate mapping biopsies in patients who have undergone radical prostatectomy显示文摘 | Yipeng Hu Hashim U. Ahmed Tim Carter Nimalan Arumainayagam Emilie Lecornet Winston Barzell Alex Freeman Pierre Nevoux David J. Hawkes Arnauld Villers Mark Emberton Dean C. Barratt | 2012 | BJU International2012，，6： | 1 |
| 10 | Primary malignant non - Wilms' renal tumours in children 显示文摘 | Hashim Uddin Ahmed Manit Arya Gill Levitt | 2007 | Lancet Onco12007，8，： | 1 |
| 11 | Impact of desalination plants fluid effluents on the integrity of seawater,with the Arabian Gulf in perspective显示文摘 | Hashim Ahmed Hajjaj Muneer | 2005 | Desalination2005，182，： | 1 |
| 12 | Focal therapy for localised unifocal and multifocal prostate cancer: a prospective development study显示文摘 | Hashim U Ahmed Richard G Hindley Louise Dickinson Alex Freeman Alex P Kirkham Mahua Sahu Rebecca Scott Clare Allen Jan Van der Meulen Mark Emberton | 2012 | Lancet Oncology2012，，： | 1 |
| 13 | Economic and environmental benefits of landfill gas from municipal solid waste in Malaysia 显示文摘 | Anwar Johari Saeed Isa Ahmed Haslenda Hashim | 2012 | Renewable and Sustainable Energy Reviews2012，16，5： | 1 |
| 14 | The Marrara syndrome: a hypersensitivity reaction of the upper respiratory tract and buccopharyngeal mucosa to nymphs of Linguatula serrata显示文摘 | Hashim Yagi Sabir El Bahari Hanan A. Mohamed El Rasheed Sid Ahmed Babiker Mustafa Magdi Mahmoud Mohamed B.A. Saad Suad M. Sulaiman Ahmed M. El Hassan | 1996 | Acta Tropica1996，，3： | 1 |
| 15 | Systematic Review of Complications of Prostate Biopsy显示文摘 | Stacy Loeb Annelies Vellekoop Hashim U. Ahmed James Catto Mark Emberton Robert Nam Derek J. Rosario Vincenzo Scattoni Yair Lotan | 2013 | European Urology2013，，： | 1 |
| 16 | Oscillatory andsteady shear rheology of gellan/dextran blends 显示文摘 | AHMAD N H AHMED J HASHIM D M | 2014 | Journal of FoodScience and Technology2014，，： | 1 |
| 17 | Digoxin and 30-day All-cause Hospital Admission in Older Patients with Chronic Diastolic Heart Failure显示文摘 | Taimoor Hashim Shereen Elbaz Kanan Patel Charity J. Morgan Gregg C. Fonarow Jerome L. Fleg Gerald McGwin Gary R. Cutter Richard M. Allman Sumanth D. Prabhu Michael R. Zile Robert C. Bourge Ali Ahmed | 2014 | The American Journal of Medicine2014，，2： | 1 |
| 18 | An Efficient IIoT-Based Smart Sensor Node for Predictive Maintenance of Induction Motors显示文摘Predictive maintenance is a vital aspect of the industrial sector,and the use of Industrial Internet of Things(IIoT)sensor nodes is becoming increasingly popular for detecting motor faults and monitoring motor conditions.An integrated approach for acquiring,processing,and wirelessly transmitting a large amount of data in predictive maintenance applications remains a significant challenge.This study presents an IIoT-based sensor node for industrial motors.The sensor node is designed to acquire vibration data on the radial and axial axes of the motor and utilizes a hybrid approach for efficient data processing via edge and cloud platforms.The initial step of signal processing is performed on the node at the edge,reducing the burden on a centralized cloud for processing data from multiple sensors.The proposed architecture utilizes the lightweight Message Queue Telemetry Transport(MQTT)communication protocol for seamless data transmission from the node to the local and main brokers.The broker’s bridging allows for data backup in case of connection loss.The proposed sensor node is rigorously tested on a motor testbed in a laboratory setup and an industrial setting in a rice industry for validation,ensuring its performance and accuracy in real-world industrial environments.The data analysis and results from both testbed and industrial motors were discussed using vibration analysis for identifying faults.The proposed sensor node is a significant step towards improving the efficiency and reliability of industrial motors through realtime monitoring and early fault detection,ultimately leading to minimized unscheduled downtime and cost savings. | Majida Kazmi Maria Tabasum Shoaib Arshad Aziz Hashim Raza Khan Saad Ahmed Qazi | 2023 | Computer Systems Science & Engineering2023，47，10： | 0 |
| 19 | Severity Based Light-Weight Encryption Model for Secure Medical Information System显示文摘As the amount of medical images transmitted over networks and kept on online servers continues to rise,the need to protect those images digitally is becoming increasingly important.However,due to the massive amounts of multimedia and medical pictures being exchanged,low computational complexity techniques have been developed.Most commonly used algorithms offer very little security and require a great deal of communication,all of which add to the high processing costs associated with using them.First,a deep learning classifier is used to classify records according to the degree of concealment they require.Medical images that aren’t needed can be saved by using this method,which cuts down on security costs.Encryption is one of the most effective methods for protecting medical images after this step.Confusion and dispersion are two fundamental encryption processes.A new encryption algorithm for very sensitive data is developed in this study.Picture splitting with image blocks is nowdeveloped by using Zigzag patterns,rotation of the image blocks,and random permutation for scrambling the blocks.After that,this research suggests a Region of Interest(ROI)technique based on selective picture encryption.For the first step,we use an active contour picture segmentation to separate the ROI from the Region of Background(ROB).Permutation and diffusion are then carried out using a Hilbert curve and a Skew Tent map.Once all of the blocks have been encrypted,they are combined to create encrypted images.The investigational analysis is carried out to test the competence of the projected ideal with existing techniques. | Firas Abedi Subhi R.M.Zeebaree Zainab Salih Ageed Hayder M.A.Ghanimi Ahmed Alkhayyat Mohammed A.M.Sadeeq Sarmad Nozad Mahmood Ali S.Abosinnee Zahraa H.Kareem Ali Hashim Abbas Waleed Khaild Al-Azzawi Mustafa Musa Jaber Mohammed Dauwed | 2023 | Computers, Materials & Continua2023，，3： | 0 |
| 20 | Chaotic Flower Pollination with Deep Learning Based COVID-19 Classification Model显示文摘The Coronavirus Disease(COVID-19)pandemic has exposed the vulnerabilities of medical services across the globe,especially in underdeveloped nations.In the aftermath of the COVID-19 outbreak,a strong demand exists for developing novel computer-assisted diagnostic tools to execute rapid and cost-effective screenings in locations where many screenings cannot be executed using conventional methods.Medical imaging has become a crucial component in the disease diagnosis process,whereas X-rays and Computed Tomography(CT)scan imaging are employed in a deep network to diagnose the diseases.In general,four steps are followed in image-based diagnostics and disease classification processes by making use of the neural networks,such as network training,feature extraction,model performance testing and optimal feature selection.The current research article devises a Chaotic Flower Pollination Algorithm with a Deep Learning-Driven Fusion(CFPADLDF)approach for detecting and classifying COVID-19.The presented CFPA-DLDF model is developed by integrating two DL models to recognize COVID-19 in medical images.Initially,the proposed CFPA-DLDF technique employs the Gabor Filtering(GF)approach to pre-process the input images.In addition,a weighted voting-based ensemble model is employed for feature extraction,in which both VGG-19 and the MixNet models are included.Finally,the CFPA with Recurrent Neural Network(RNN)model is utilized for classification,showing the work’s novelty.A comparative analysis was conducted to demonstrate the enhanced performance of the proposed CFPADLDF model,and the results established the supremacy of the proposed CFPA-DLDF model over recent approaches. | T.Gopalakrishnan Mohamed Yacin Sikkandar Raed Abdullah Alharbi P.Selvaraj Zahraa H.Kareem Ahmed Alkhayyat Ali Hashim Abbas | 2023 | Computers, Materials & Continua2023，，3： | 0 |
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