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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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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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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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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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Combined anterior and posterior ring fixation versus posterior ring fixation alone in the management of unstable Tile B and C pelvic ring injuries:A randomized controlled trial

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Chinese Journal of Traumatology 2023年第1期26卷 48-59页

作者： Islam Sayed Moussa ahmed mohammed Sallam Amr Khairy Mahmoud Elzaher Hassan Elzaher Amr mohammed Nagy ahmed Salem Eid Department of Orthopedics and Traumatology Faculty of MedicineAin Shams UniversityCairo11522Egypt

Purpose: Combined anterior and posterior ring (APR) fixation is classically performed in Tile B2 and C1 injuries to achieve superior biomechanical ***,the posterior ring (PR) is the main weight bearing portion that is responsible for weight transmission from the upper parts of the body to the lower limbs through the sacrum and the linea *** is hypothesized that isolated PR fixation can achieve comparable radiological and clinical outcomes to APR ***,we conducted this study to compare the two fixation principles in managing Tile B2 and C1 ***: Our study included 20 patients with Tile B2 injuries and 20 patients with Tile C1 *** study was a randomized control single-blinded study via computerized random numbers with a 1:1 allocation by using random block *** study was performed at a level one trauma center.A total of 40 patients with Tile B2 and C1 injuries underwent combined APR or isolated PR fixation (Group A and B,respectively).Matta & Tornetta radiological principles and Majeed pelvic scoring system were used for the assessment of primary outcomes and postoperative *** outcomes included operative time,amount of blood loss,intraoperative assessment of reduction,need of another operation,length of hospital stay,ability to weight bear postoperatively and pain control *** used studentt-test to compare the difference in means between two groups,and Chi-square test to compare proportions between two qualitative *** set the confidence interval to 95% and the margin of error accepted to 5%.So,p ≤ 0.05 was considered statistically ***: The mean follow-up duration was 18 *** operative time (mean difference 0.575 h) and the intraoperative blood loss (mean difference 97.5 mL) were lower in Group ***,despite the higher frequency of rami displacement before union in the same group,there were no significant differences in terms of radiological outc

关键词： Tile B2 and C1 injuries Percutaneous sacroiliac screw Posterior ring fixation Radiological outcome Majeed pelvic score

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Modified aquila optimizer for forecasting oil production

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Geo-Spatial Information Science 2022年第4期25卷 519-535页

作者： mohammed A.A.Al-qaness ahmed A.Ewees Hong Fan Ayman Mutahar AlRassas Mohamed Abd Elaziz State Key Laboratory for Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina Systems University of Bisha Department of e-BishaKingdom of Saudi Arabia Department of Computer Damietta UniversityDamiettaEgypt School of Petroleum Engineering China University of Petroleum(East China)QingdaoChina Department of Mathematics Faculty of ScienceZagazig UniversityZagazigEgypt Artificial Intelligence Research Center(AIRC) Ajman UniversityAjman 346United Arab Emirates Faculty of Computer Science&Engineering Galala UniversitySuze 435611Egypt

Oil production estimation plays a critical role in economic plans for local governments and ***,many studies applied different Artificial Intelligence(AI)based meth-ods to estimate oil production in different *** Adaptive Neuro-Fuzzy Inference System(ANFIS)is a well-known model that has been successfully employed in various applica-tions,including time-series ***,the ANFIS model faces critical shortcomings in its parameters during the configuration *** this point,this paper works to solve the drawbacks of the ANFIS by optimizing ANFIS parameters using a modified Aquila Optimizer(AO)with the Opposition-Based Learning(OBL)*** main idea of the developed model,AOOBL-ANFIS,is to enhance the search process of the AO and use the AOOBL to boost the performance of the *** proposed model is evaluated using real-world oil produc-tion datasets collected from different oilfields using several performance metrics,including Root Mean Square Error(RMSE),Mean Absolute Error(MAE),coefficient of determination(R2),Standard Deviation(Std),and computational ***,the AOOBL-ANFIS model is compared to several modified ANFIS models include Particle Swarm Optimization(PSO)-ANFIS,Grey Wolf Optimizer(GWO)-ANFIS,Sine Cosine Algorithm(SCA)-ANFIS,Slime Mold Algorithm(SMA)-ANFIS,and Genetic Algorithm(GA)-ANFIS,***,it is compared to well-known time series forecasting methods,namely,Autoregressive Integrated Moving Average(ARIMA),Long Short-Term Memory(LSTM),Seasonal Autoregressive Integrated Moving Average(SARIMA),and Neural Network(NN).The outcomes verified the high performance of the AOOBL-ANFIS,which outperformed the classic ANFIS model and the compared models.

关键词： Oil production ANFIS opposition-based learning(OBL) Aquila Optimizer(AO) time series forecasting Tahe oilfield Sunah oilfield

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Amino Acid Encryption Method Using Genetic Algorithm for Key Generation

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Computers, Materials & Continua 2022年第1期70卷 123-134页

作者： ahmed S.Sakr M.Y.Shams Amena Mahmoud mohammed Zidan Department of Information System Faculty of Computers and InformationMenofia UniversityEgypt Department of Machine learning and Information Retrieval Faculty of Artificial IntelligenceKafrelsheikh UniversityEgypt Department of Computer Science Faculty of Computers and InformationKafrelshiekh UniversityEgypt Hurghada Faculty of Computers and Artificial Intelligence South Valley UniversityEgypt

In this new information era,the transfer of data and information has become a very important *** data must be kept secured from unauthorized persons using *** science of cryptography depends not only on complex mathematical models but also on encryption *** acid encryption is a promising model for data *** this paper,we propose an amino acid encryption model with two encryption *** first key is generated randomly using the genetic *** second key is called the protein key which is generated from converting DNA to a protein ***,the protein message and the first key are used in the modified Playfair matrix to generate the cypher *** experimental results show that the proposed model survives against known attacks such as the Brute-force attack and the Ciphertext-only *** addition,the proposed model has been tested over different types of characters including white spaces and special characters,as all the data is encoded to 8-bit *** performance of the proposed model is compared with other models using encryption time and decryption *** model also balances all three principles in the CIA triad.

关键词： Cryptography amino acid genetic algorithm playfair deep learning DNA computing

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Acute kidney injury due to bilateral malignant ureteral obstruction:Is there an optimal mode of drainage?

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World Journal of Nephrology 2022年第6期11卷 146-163页

作者： Rabea ahmed Gadelkareem ahmed Mahmoud Abdelraouf ahmed mohammed El-Taher Abdelfattah Ibrahim ahmed Department of Urology Assiut Urology and Nephrology HospitalFaculty of MedicineAssiut UniversityAssiut 71515AssiutEgypt

There is a well-known relationship between malignancy and impairment of kidney functions,either in the form of acute kidney injury or chronic kidney *** the former,however,bilateral malignant ureteral obstruction is a surgically correctable factor of this complex *** warrants urgent drainage of the kidneys in emergency ***,there are multiple controversies and debates about the optimal mode of drainage of the bilaterally obstructed kidneys in these *** review addressed most of the concerns and provided a comprehensive presentation of this topic from the recent ***,we provided different perspectives on the management of the bilateral obstructed kidneys due to *** the frequent trials for improving the success rates and functions of ureteral stents,placement of a percutaneous nephrostomy tube remains the most recommended tool of drainage due to bilateral ureteral obstruction,especially in patients with advanced ***,the disturbance of the quality of life of those patients remains a major unresolved *** the unfavorable prognostic potential of the underlying malignancy and the various risk stratification models that have been proposed,the response of the kidney to initial drainage can be anticipated and evaluated by multiple renal prognostic factors,including increased urine output,serum creatinine trajectory,and time-to-nadir serum creatinine after drainage.

关键词： Acute kidney injury Kidney Malignancy Percutaneous nephrostomy Ureteral obstruction Ureter

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A Novel Metadata Based Multi-Label Document Classification Technique

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Computer Systems Science & Engineering 2023年第8期46卷 2195-2214页

作者： Naseer ahmed Sajid Munir Ahmad Atta-ur Rahman Gohar Zaman mohammed Salih ahmed Nehad Ibrahim mohammed Imran Bahmed Gomathi Krishnasamy Reem Alzaher Mariam Alkharraa Dania AlKhulaifi Maryam AlQahtani Asiya A.Salam Linah Saraireh mohammed Gollapalli Rashad ahmed Barani Institute of Information Technology(BIIT) PMAS Arid Agriculture UniversityRawalpindi46000PunjabPakistan Department of Computer Science(CS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Faculty Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaBatu PahatMalaysia Department of Computer Engineering(CE) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia College of Business Administration Imam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Information System(CIS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia ICS Department King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia

From the beginning,the process of research and its publication is an ever-growing phenomenon and with the emergence of web technologies,its growth rate is *** a rough estimate,more than thirty thousand research journals have been issuing around four million papers annually on *** engines,indexing services,and digital libraries have been searching for such publications over the ***,getting the most relevant articles against the user requests is yet a *** is mainly because the articles are not appropriately indexed based on the hierarchies of granular subject *** overcome this issue,researchers are striving to investigate new techniques for the classification of the research articles especially,when the complete article text is not available(a case of nonopen access articles).The proposed study aims to investigate the multilabel classification over the available metadata in the best possible way and to assess,“to what extent metadata-based features can perform in contrast to content-based approaches.”In this regard,novel techniques for investigating multilabel classification have been proposed,developed,and evaluated on metadata such as the Title and Keywords of the *** proposed technique has been assessed for two diverse datasets,namely,from the Journal of universal computer science(***)and the benchmark dataset comprises of the articles published by the Association for computing machinery(ACM).The proposed technique yields encouraging results in contrast to the state-ofthe-art techniques in the literature.

关键词： Multilabel classification indexing metadata content/data mining

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