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Unilateral hypoplastic kidney in adults:An experience of a tertiarylevel urology center

World Journal of Nephrology 2022年第1期11卷 30-38页

作者： Rabea ahmed Gadelkareem Nasreldin mohammed Department of Urology Assiut Urology and Nephrology HospitalFaculty of MedicineAssiut UniversityAssiut 71515Egypt

BACKGROUND Unilateral small-sized kidney is a radiological term referring to both the congenital and acquired causes of reduced kidney ***,the hypoplastic kidney may have peculiar clinical and radiological *** To evaluate the clinical presentations,complications,and management approaches of the radiologically diagnosed unilateral hypoplastic *** A retrospective review of the records of patients with a radiological diagnosis of unilateral hypoplastic kidney between July 2015 and June 2020 was done at Assiut Urology and Nephrology Hospital,Assiut University,*** A total of 33 cases were diagnosed to have unilateral hypoplastic kidney with a mean(range)age of 39.5±11.2(19-73)*** main clinical presentation was loin pain(51.5%),stone passer(9.1%),anuria(12.1%),accidental discovery(15.2%),or manifestations of urinary tract infections(12.1%).Computed tomography was the most useful tool for radiological ***,radioisotope scanning could be requested for verification of surgical interventions and nephrectomy *** occurred in 23(69.7%)cases and pyuria was detected in 22(66.7%)cases where the infection was documented by culture and sensitivity test in 19 *** the non-complicated cases were managed by assurance only(12.1%),nephrectomy(15.2%)was performed for persistent ***,symptomatic(27.3%)and endoscopic(45.6%)approaches were used for the management of correctable *** Unilateral hypoplastic kidney in adults has various complications that range from urinary tract infections to death from *** is mainly radiological and management is usually conservative or minimally invasive.

关键词： Congenital anomalies Hypoplastic kidney Kidney size Small sized kidney Solitary kidney Urolithiasis

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Facilities Provided by ISDN for Telemedicine

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Journal of Systems Engineering and electronics 1999年第3期10卷 7-14页

作者： Al-Kassab, mohammed Hmeed ahmed Lu, Dongming Pan, Yunhe National Key Lab. of CAD & CG Dept. of Computer Science Zhejiang University Hangzhou P. R. China

In this paper, we discuss the advantages of integrated services digital network (ISDN) as an infrastructure for telemedicine applications. The facilities provided by ISDN, which are necessary to telemedicine, are listed and some of the ISDN solutions to telemedicine are discussed. Some of the current popular telemedicine systems that based on ISDN are mentioned, with some discussion of the future ISDN telemedicine applications.

关键词： Telemedicine ISDN Telehealth Telecommunication Healthcare delivery

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Sentiment Analysis and Classification Using Deep Semantic Information and Contextual Knowledge

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Computers, Materials & Continua 2023年第1期74卷 671-691页

作者： ahmed abdulhakim Al-Absi Dae-Ki Kang mohammed abdulhakim Al-Absi Department of Smart Computing Kyungdong University 464-gilBongpoGosungGangwon-do24764Korea Division of Computer Engineering Dongseo University47 Jurye-roSasang-guBusan47011Korea Department of Computer Engineering Dongseo University47 Jurye-roSasang-guBusan47011Korea

Sentiment analysis(AS)is one of the basic research directions in natural language processing(NLP),it is widely adopted for news,product review,and ***-based sentiment analysis(ABSA)aims at identifying the sentiment polarity of a given target context,previous existing model of sentiment analysis possesses the issue of the insufficient exaction of features which results in low *** this research work develops a deep-semantic and contextual knowledge networks(DSCNet).DSCNet tends to exploit the semantic and contextual knowledge to understand the context and enhance the accuracy based on given *** first temporal relationships are established then deep semantic knowledge and contextual knowledge are ***,a deep integration layer is introduced to measure the importance of features for efficient extraction of different *** of DSCNet model lies in introducing the deep *** is evaluated on three datasets i.e.,Restaurant,Laptop,and Twitter dataset considering different deep learning(DL)metrics like precision,recall,accuracy,and Macro-F1 ***,comparative analysis is carried out with different baselinemethods in terms of accuracy andMacro-F1 *** achieves 92.59%of accuracy on restaurant dataset,86.99%of accuracy on laptop dataset and 78.76%of accuracy on Twitter dataset.

关键词： Sentiment analysis aspect-sa deep learning DSCNet

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Slicing-Based Enhanced Method for Privacy-Preserving in Publishing Big Data

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Computers, Materials & Continua 2022年第8期72卷 3665-3686页

作者： mohammed BinJubier Mohd Arfian Ismail abdulghani Ali ahmed Ali Safaa Sadiq Faculty of Computing Universiti Malaysia PahangKuantanPahangMalaysia School of Computer Science and Informatics De Montfort UniversityLeicesterLE19BHUnited Kingdom School of Engineering Computing and Mathematical SciencesUniversity of WolverhamptonWulfruna Street WolverhamptonWV11LYUnited Kingdom

Publishing big data and making it accessible to researchers is important for knowledge building as it helps in applying highly efficient methods to plan,conduct,and assess scientific ***,publishing and processing big data poses a privacy concern related to protecting individuals’sensitive information while maintaining the usability of the published *** anonymization methods,such as slicing and merging,have been designed as solutions to the privacy concerns for publishing big ***,the major drawback of merging and slicing is the random permutation procedure,which does not always guarantee complete protection against attribute or membership ***,merging procedures may generatemany fake tuples,leading to a loss of data utility and subsequent erroneous knowledge *** study therefore proposes a slicingbased enhanced method for privacy-preserving big data publishing while maintaining the data *** particular,the proposed method distributes the data into horizontal and vertical *** lower and upper protection levels are then used to identify the unique and identical attributes’*** unique and identical attributes are swapped to ensure the published big data is protected from disclosure *** outcome of the experiments demonstrates that the proposed method could maintain data utility and provide stronger privacy preservation.

关键词： Big data big data privacy preservation anonymization data publishing

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Ultrasound-guided transrectal extended prostate biopsy:a prospective study

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Asian Journal of Andrology 2005年第2期7卷 165-169,页

作者： mohammed ahmed Al-Ghazo Ibrahim Fathi Ghalayini Ismail Ibrahim Matalka Faculty of Medicine King Abdullah University HospitalJordan University of Science and Technology (JUST)Irbid 22110Jordan

Aim:To evaluate the diagnostic value of the 10 systematic transrectal ultrasound-guided (TRUS) prostate biopsy compared with the sextant biopsy technique for patients with suspected prostate ***:One hundred and fifty-two patients with suspected prostate cancer were included in the *** were entered in the study because they presented with high levels of prostate specific antigen (PSA) (over 4 ng/mL) and/or had undergone an abnormal digital rectal examination (DRE).In addition to sextant prostate biopsy cores,four more biopsies were obtained from the lateral peripheral zone with additional cores from each suspicious area revealed by transrectal ***,lateral peripheral zone and suspicious area biopsy cores were submitted separately to the patho- logical ***:Cancer detection rates were 27.6 % (42/152) and 19.7 % (30/152) for the 10-core and sextant core biopsy protocols,*** the lateral peripheral zone (PZ) to the sextant prostate biopsy showed a 28.6 % (12/42) increase in the cancer detection rate in patients with positive prostate cancer (Pelevated PSA was 29.3 % (34/116).When serum PSA was 4-10 ng/mL TRUS-guided biopsy detected cancer in 20.6 %,while the detection rate was 32.4 % and 47.0 % when serum PSA was 10-20 ng/mL and above 20 ng/mL,***:The 10 systematic TRUS-guided prostate biopsy improves the detection rate of prostate cancer by 28.6 % when compared with the sextant biopsy technique alone,without increase in the *** therefore recommend the 10-core biopsy protocol to be the preferred method for early detection of prostate cancer.

关键词： ultrasonography prostate biopsy diagnosis

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Correlation between tibial nail length and olecrenon to 5th metacarpal head measurement: An anthropometric study

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Chinese Journal of Traumatology 2019年第6期22卷 361-363页

作者： Atmananda Hegde Nabeel mohammed Naufal Rizwan ahmed Department of Orthopaedics Kasturba Medical CollegeManipal Academy of Higher EducationMangaloreIndia

Purpose:During fracture fixation,the size of tibial nail is a vital factor affecting the outcomes and thus preoperative estimation of tibial nail length is very *** study aims to find out whether"olecranon to 5th metacarpal head"(O-MH)measurement can be used to reliably predict the tibial nail ***:This was a cross sectional study involving 100 *** were done and recorded by two observers on two separate *** nail length estimation measurement was done from highest point of tibial tuberosity to the tip of the medial malleolus(TT-MM).O-MH measurement was taken from tip of olecranon to the tip of 5th metacarpal head with wrist in neutral position and hand *** analysis was done to find out correlation between two measurements and influence of age,gender and body mass index on ***:Paired t-test showed no systematic error between the *** correlation coefficient showed strong agreement in inter and intra observer *** correlation was found between the TT-MM&O-MH measurements using Pearson's correlation coefficient test(r=0.966).Hierarchical regression analysis showed age,gender and BMI have no statistically significant bearings on these measurements and their ***:O-MH measurement is a useful and accurate means of estimating tibial nail length preoperatively.

关键词： Tibial nail length Olecranon 5th metacarpal head Correlation Accurate estimation

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Real-time Privacy Preserving Framework for Covid-19 Contact Tracing

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Computers, Materials & Continua 2022年第1期70卷 1017-1032页

作者： Akashdeep Bhardwaj ahmed A.Mohamed Manoj Kumar mohammed Alshehri Ahed Abugabah School of Computer Science University of Petroleum&Energy Studies(UPES)Dehradun248007India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia Department of Information Technology Faculty of Computer and InformationAssiut UniversityAssiut71515Egypt Department of Information Technology College of Computer and Information SciencesMajmaah UniversityMajmaah11952Saudi Arabia Department of Information System College of Technological InnovationZayed UniversityAbu DhabiUnited Arab Emirates

The recent unprecedented threat from COVID-19 and past epidemics,such as SARS,AIDS,and Ebola,has affected millions of people in multiple *** have shut their borders,and their nationals have been advised to *** variety of responses to the pandemic has given rise to data privacy *** prevention and control strategies as well as disease control measures,especially real-time contact tracing for COVID-19,require the identification of people exposed to *** tracing frameworks use mobile apps and geolocations to trace ***,while the motive may be well intended,the limitations and security issues associated with using such a technology are a serious cause of *** are growing concerns regarding the privacy of an individual’s location and personal identifiable information(PII)being shared with governments and/or health *** study presents a real-time,trust-based contact-tracing framework that operateswithout the use of an individual’sPII,location sensing,or gathering GPS *** focus of the proposed contact tracing framework is to ensure real-time privacy using the Bluetooth range of individuals to determine others within the *** research validates the trust-based framework using Bluetooth as practical and *** our proposed methodology,personal information,health logs,and location data will be secure and not *** research analyzes 100,000 tracing dataset records from 150 mobile devices to identify infected users and active users.

关键词： Privacy contact tracing mobile apps Bluetooth Covid epidemic

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Aqueous-Phase Sorption Behaviors of Cs+, Co2+, Sr2+and Cd2+ions on some Composite Ion Exchangers

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Advances in Chemical Engineering and Science 2012年第1期2卷 180-186页

作者： Ibrahim mohammed el-Naggar Gehan mohammed Ibrahim Eman ahmed el-Kady 不详

A two new hybrid “organic-inorganic” composite ion exchangers (SAM and FAM), was synthesized by the combination of inorganic ion exchanger tin (IV) silicate and tin (IV) antimonate respectively with organic polymer polyacrylamide (PAm). The sorption isotherms for Cs+, Co2+, Sr2+ and Cd2+ ions on composite ion exchanger were investigated in the range (0.0005 - 0.01M) at different reaction temperature (30℃, 45℃ and 60℃ ± 1℃). The sorption data were subjected to different sorption isotherms and the results verified that Langmuir isotherm is the best model to be applied, and the monolayer sorption capacity were calculated and was found to increase as the reaction temperature increases.

关键词： Organic-Inorganic Composite Polyacrylamide Tin (IV) Silicate Tin (IV) Antimonate Radioactive Waste Heavy Metals Sorption Isotherm Capacity

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X-Ray Covid-19 Detection Based on Scatter Wavelet Transform and Dense Deep Neural Network

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Computer Systems Science & Engineering 2022年第6期41卷 1255-1271页

作者： Ali Sami Al-Itbi ahmed Bahaaulddin A.Alwahhab Ali mohammed Sahan Informatics Department Technical College of ManagementMiddle Technical UniversityBaghdadIraq

Notwithstanding the discovery of vaccines for Covid-19, the virus'srapid spread continues due to the limited availability of vaccines, especially inpoor and emerging countries. Therefore, the key issues in the presentCOVID-19 pandemic are the early identification of COVID-19, the cautiousseparation of infected cases at the lowest cost and curing the disease in the earlystages. For that reason, the methodology adopted for this study is imaging tools,particularly computed tomography, which have been critical in diagnosing andtreating the disease. A new method for detecting Covid-19 in X-rays and CTimages has been presented based on the Scatter Wavelet Transform and DenseDeep Neural Network. The Scatter Wavelet Transform has been employed as afeature extractor, while the Dense Deep Neural Network is utilized as a binaryclassifier. An extensive experiment was carried out to evaluate the accuracy ofthe proposed method over three datasets: IEEE 80200, Kaggle, andCovid-19 X-ray image data Sets. The dataset used in the experimental part consists of 14142. The numbers of training and testing images are 8290 and 2810,respectively. The analysis of the result refers that the proposed methods achievedhigh accuracy of 98%. The proposed model results show an excellent outcomecompared to other methods in the same domain, such as (DeTraC) CNN, whichachieved only 93.1%, CNN, which achieved 94%, and stacked Multi-ResolutionCovXNet, which achieved 97.4%. The accuracy of CapsNet reached 97.24%.

关键词： Covid-19 detection scatter wavelet transform deep learning dense Deep Neural Network

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Automatic Channel Detection Using DNN on 2D Seismic Data

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Computer Systems Science & Engineering 2021年第1期36卷 57-67页

作者： Fahd A.Alhaidari Saleh A.Al-Dossary Ilyas A.Salih abdlrhman M.Salem ahmed S.Bokir Mahmoud O.Fares mohammed I.ahmed mohammed S.ahmed Imam abdulrahman Bin Faisal University College of Computer Science and Information TechnologyDammam34212Saudi Arabia Saudi Aramco Oil Company EXPEC-IIDhahranSaudi Arabia

Geologists interpret seismic data to understand subsurface properties and subsequently to locate underground hydrocarbon *** are among the most important geological features interpreters analyze to locate petroleum ***,manual channel picking is both time consuming and ***,similar to any other process dependent on human intervention,manual channel picking is error prone and *** address these issues,automatic channel detection is both necessary and important for efficient and accurate seismic *** systems make use of real-time image processing techniques for different *** channel detection is a combination of different mathematical methods in digital image processing that can identify streaks within the images called channels that are important to the oil *** this paper,we propose an innovative automatic channel detection algorithm based on machine learning *** new algorithm can identify channels in seismic data/images fully automatically and tremendously increases the efficiency and accuracy of the interpretation *** algorithm uses deep neural network to train the classifier with both the channel and non-channel *** provide a field data example to demonstrate the performance of the new *** training phase gave a maximum accuracy of 84.6%for the classifier and it performed even better in the testing phase,giving a maximum accuracy of 90%.

关键词： Deep neural networks deep learning channel detection image processing two-dimensional seismic data

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