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Optimized parallel architecture of evolutionary neural network for mass spectrometry data processing

International Journal of Modeling, Simulation, and Scientific Computing 2017年第1期8卷 231-257页

作者： Amin Jarrah Bashar Haddad Mohammad A.Al-Jarrah muhammad bassam obeidat Department of Computer Engineering Yarmouk University Irbid 21163Jordan Computer Engineering Department The University of Jordan Amman 11942Jordan Department of Computer Engineering Jordan University of Science and Technology Irbid 22110 Jordan

Evolutionary neural network(ENN)shows high performance in function optimization and in finding approximately global optima from searching large and complex *** is one of the most efficient and adaptive optimization techniques used widely to provide candidate solutions that lead to the fitness of the *** has the extraordinary ability to search the global and learning the approximate optimal solution regardless of the gradient information of the error ***,ENN requires high computation and processing which requires parallel processing platforms such as field programmable gate arrays(FPGAs)and graphic processing units(GPUs)to achieve a good *** work involves different new implementations of ENN by exploring and adopting different techniques and opportunities for parallel *** versions of ENN algorithm have also been implemented and parallelized on FPGAs platform for low latency by exploiting the parallelism and pipelining *** data form mass spectrometry data(MSD)application was tested to examine and verify our *** is a very important and extensive computation application which needs to search and find the optimal features(peaks)in MSD in order to distinguish cancer patients from control *** algorithm is also implemented and parallelized on single core and GPU platforms for comparison *** computation time of our optimized algorithm on FPGA and GPU has been improved by a factor of 6.75 and 6,respectively.

关键词： Genetic algorithm neural networks evolutionary neural network fieldprogrammable gate array(FPGA) graphic processing unit(GPU) parallel architecture optimization techniques

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Federated Machine Learning Based Fetal Health Prediction Empowered with Bio-Signal Cardiotocography

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Computers, Materials & Continua 2024年第3期78卷 3303-3321页

作者： muhammad Umar Nasir Omar Kassem Khalil Karamath Ateeq bassam SaleemAllah Almogadwy muhammad Adnan Khan muhammad Hasnain Azam Khan muhammad Adnan Department of Computer Sciences Bahria University Lahore CampusLahore54000Pakistan Faculty of Information Technology Liwa CollegeAbu Dhabi00000United Arab Emirates Department of Computing Skyline University CollegeSharjah1797United Arab Emirates Department of Computer Science Taibah UniversityMedina42353Saudi Arabia Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Engineering and Development Dubizzle LabsLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam-si13120Korea

Cardiotocography measures the fetal heart rate in the fetus during pregnancy to ensure physical health because cardiotocography gives data about fetal heart rate and uterine shrinkages which is very beneficial to detect whether the fetus is normal or suspect or *** cardiotocography measures infer wrongly and give wrong predictions because of human *** traditional way of reading the cardiotocography measures is the time taken and belongs to numerous human errors as *** condition is very important to measure at numerous stages and give proper medications to the fetus for its *** the current period Machine learning(ML)is a well-known classification strategy used in the biomedical field on various issues because ML is very fast and gives appropriate results that are better than traditional *** techniques play a pivotal role in detecting fetal disease in its early *** research article uses Federated machine learning(FML)and ML techniques to classify the condition of the *** study proposed a model for the detection of bio-signal cardiotocography that uses FML and ML techniques to train and test the ***,the proposed model of FML used numerous data preprocessing techniques to overcome data deficiency and achieves 99.06%and 0.94%of prediction accuracy and misprediction rate,respectively,and parallel the proposed model applying K-nearest neighbor(KNN)and achieves 82.93%and 17.07%of prediction accuracy and misprediction accuracy,***,by comparing both models FML outperformed the KNN technique and achieved the best and most appropriate prediction results as compared with previous studies the proposed study achieves the best and most accurate results.

关键词： Cardiotocography ML FML fetal disease bio-signal

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Cervical Cancer Prediction Empowered with Federated Machine Learning

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Computers, Materials & Continua 2024年第4期79卷 963-981页

作者： muhammad Umar Nasir Omar Kassem Khalil Karamath Ateeq bassam SaleemAllah Almogadwy M.A.Khan Khan muhammad Adnan Department of Computer Sciences Bahria University Lahore CampusLahore54000Pakistan Faculty of Information Technology Liwa CollegeAbu Dhabi20009UAE Department of Computing Skyline University CollegeSharjah999041UAE Department of Computer Science Taibah UniversityMedina42315Saudi Arabia Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam13120Korea

Cervical cancer is an intrusive cancer that imitates various women around the world. Cervical cancer ranks in thefourth position because of the leading death cause in its premature stages. The cervix which is the lower end of thevagina that connects the uterus and vagina forms a cancerous tumor very slowly. This pre-mature cancerous tumorin the cervix is deadly if it cannot be detected in the early stages. So, in this delineated study, the proposed approachuses federated machine learning with numerous machine learning solvers for the prediction of cervical cancer totrain the weights with varying neurons empowered fuzzed techniques to align the neurons, Internet of MedicalThings (IoMT) to fetch data and blockchain technology for data privacy and models protection from hazardousattacks. The proposed approach achieves the highest cervical cancer prediction accuracy of 99.26% and a 0.74%misprediction rate. So, the proposed approach shows the best prediction results of cervical cancer in its early stageswith the help of patient clinical records, and all medical professionals will get beneficial diagnosing approachesfrom this study and detect cervical cancer in its early stages which reduce the overall death ratio of women due tocervical cancer.

关键词： Cervical cancer federated machine learning neurons blockchain technology

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Nuclear design of an integrated small modular reactor based on the APR-1400 for RO desalination purposes

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Nuclear Science and Techniques 2022年第8期33卷 1-15页

作者： Reem Rashed Alnuaimi bassam Khuwaileh muhammad Zubair Donny Hartanto Department of Mechanical and Nuclear Engineering University of SharjahP.O.BOX 27272SharjahUAE Oak Ridge National Laboratory 1 Bethel Valley RoadOak RidgeTN 37830USA

The United Arab Emirates lacks conventional water resources and relies primarily on desalination plants powered by fossil fuels to produce fresh *** desalination is a proven technology,cost-competitive,and sustainable option capable of integrating the existing largescale desalination plants to produce both freshwater and ***,Small Modular Reactors(SMRs)are promising designs with advanced simplified configurations and inherent safety *** this study,an Integrated Desalination SMR that produces thermal energy compatible with the capacity of a fossil fuel-powered desalination plant in the UAE was ***,the APR-1400 reactor core was used to investigate two 150 MWthconceptual SMR core designs,core A and core B,based on two-dimensional parameters,radius,and ***,the CASMO-4 lattice code was used to generate homogenized few-group constants for optimized fuel assembly loading ***,to find the best core configuration,SIMULATE-3 was used to calculate the core key physics parameters such as power distribution,reactivity coefficients,and critical boron *** addition,different reflector materials were investigated to compensate for the expected high leakage of the small-sized SMR *** pan shape core B model(142.6132 cm diameter,100 cm height,and radially reflected by Stainless Steel)was selected as the best core configuration based on its calculated physics *** B met the design and safety criteria and indicated low total neutron leakage of 11.60%and flat power distribution with 1.50 power peaking *** to core A,it has a more negative MTC value of-6.93 pcm/°F with lower *** a 2-batch scheme,the fuel is discharged at 42.25 GWd/MTU burnup after a long cycle length of 1.58 *** core B model offers the highest specific power of 36.56 kW/kgU while utilizing the smallest heavy metal mass compared with the SMART and NuScale models.

关键词： Nuclear desalination Small modular reactor(SMR) APR-1400 CASMO-4 SIMULATE-3 Two-step method Homogenized cross sections Optimization

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SARS-CoV-2 involvement in central nervous system tissue damage

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Neural Regeneration Research 2022年第6期17卷 1228-1239页

作者： muhammad Ali Haidar Zaynab Shakkour Mohammad Amine Reslan Nadine Al-Haj Perla Chamoun Karl Habashy Hasan Kaafarani Shima Shahjouei Sarah HFarran Abdullah Shaito Esber SSaba bassam Badran Mirna Sabra Firas Kobeissy Maya Bizri Department of Biochemistry and Molecular Genetics Faculty of MedicineAmerican University of BeirutBeirutLebanon Faculty of Health Sciences University of BalamandBeirutLebanon Faculty of Medicine University of BalamandKouraLebanon Faculty of Science Lebanese UniversityBaabdaLebanon Program for Neurotrauma Neuroproteomics&Biomarkers ResearchDepartments of Emergency MedicineUniversity of FloridaGainesvilleFLUSA Department of Pathology and Laboratory Medicine American University of Beirut Medical CenterBeirutLebanon Biomedical Research Center Qatar UniversityDohaQatar Department of Experimental Pathology Immunology and MicrobiologyFaculty of MedicineAmerican University of BeirutBeirutLebanon Laboratory of Cancer Biology and Molecular Immunology Faculty of Sciences ILebanese UniversityHadathBeirutLebanon Faculty of Medicine Lebanese UniversityNeuroscience Research Center(NRC)BeirutLebanon Neuroscience Institute Neurology DepartmentGeisinger Health SystemPAUSA Department of Psychiatry American University of BeirutBeirutLebanon

As the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)continues to spread globally,it became evident that the SARS-CoV-2 virus infects multiple organs including the *** clinical studies revealed that patients with COVID-19 infection experience an array of neurological signs ranging in severity from headaches to life-threatening *** the exact mechanism by which the SARS-CoV-2 virus directly impacts the brain is not fully understood,several theories have been suggested including direct and indirect pathways induced by the *** possible theory is the invasion of SARS-CoV-2 to the brain occurs either through the bloodstream or via the nerve endings which is considered to be the direct *** findings are based on studies reporting the presence of viral material in the cerebrospinal fluid and brain ***,the indirect mechanisms,including blood-clotting abnormalities and prolonged activation of the immune system,can result in further tissue and organ damages seen during the course of the *** overview attempts to give a thorough insight into SARS-CoV-2 coronavirus neurological infection and highlights the possible mechanisms leading to the neurological manifestations observed in infected patients.

关键词： autoantibodies CNS infection coagulopathy COVID-19 encephalitis neuroinflammation renin-angiotensin system viral encephalopathy

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Geochemistry and Origin of the Hyper Salinity of Groundwater in Wasia-Biyadh Aquifer, Saudi Arabia

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Journal of Geoscience and Environment Protection 2021年第11期9卷 1-14页

作者： muhammad Gomaah Abdulaziz Al-bassam United Nations Developing Program (UNDP) & Ministry of Environment Water & Agriculture Riyadh Saudi Arabia National Center for Research and Water Studies Ministry of Environment Water & Agriculture Riyadh Saudi Arabia

The origin of the hyper saline groundwater in aquifers all over the world is still unclear till today. The current paper is an attempt to interpret a possible origin of the hyper salinity in the groundwater of the Wasia-Biyadh Aquifer system in Saudi Arabia. The result indicated that the major factors contributing salinity to groundwater are silicate weathering and evaporite dissolution/and or evaporation, as indicated by the Na+-normalized Ca2+ VS HCO3-plot. However, some groundwater samples showed hyper salinity that had been attributed to the presence of a naturally-occurring-hydrothermal system, due to the high concentration of the radionuclides within the aquifer. The high-salinity samples (Na-Cl type) plot under the evaporation line on the Na+/Cl- vs. Cl- relationship, suggesting deep heating that resulted in hyper salinity. The geochemical reactions in the eastern part of the aquifer included the precipitation of pyrite, dolomite, clay, and the incongruent dissolution of plagioclase.

关键词： Geochemistry Hyper Salinity Groundwater Wasia-Biyadh Aquifer

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Hepatobiliary manifestations following two-stages elective laparoscopic restorative proctocolectomy for patients with ulcerative colitis:A prospective observational study

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World Journal of Gastrointestinal Surgery 2023年第2期15卷 234-248页

作者： Tamer A A M Habeeb Abdulzahra Hussain Mauro Podda Pasquale Cianci Bruce Ramshaw Khaled Safwat Wesam M Amr Tamer Wasefy Alaa A Fiad Mohamed Ibrahim Mansour Adel Mahmoud Moursi GamalOsman Anass Qasem Mohamed Fawzy Mohamed Ibrahim Abo Alsaad Abd-Elfattah Kalmoush MohammedShaaban Nassar Fawzy M Mustafa Mahmoud Hassib Morsi Badawy Ahmed Hamdy Hamdi Elbelkasi bassam Mousa Abd-Elrahman M Metwalli Walid A Mawla Mostafa M Elaidy muhammad Ali Baghdadi Ahmed Raafat Department of General Surgery Faculty of MedicineZagazig UniversityZagazig 44759SharkiaEgypt Homerton University Hospital London E96SRUK Department of Surgical Science University of CagliariCagliari 2432Italy Department of Medical and Surgical Sciences Universitàdegli studi di FoggiaFoggia 546Italy MD CQInsights PBC Co-founder&CEOTennesseeTN 37010United States Department of Internal Medicine Zagazig UniversityZagazig 2355Egypt Department of Internal Medicine Suez UniversitySuez 235Egypt Department of General Surgery Faculty of Medicine-Merit UniversitySohag 82511Egypt Department of General Surgery Al-azhar UniversityCairo 285Egypt Department of Hepato-Bilio-Pancreatic(HBP)Surgery National Hepatology and Tropical Medicine Research InstituteCairo 285Egypt Department of General Surgery Mataryia Teaching HospitalCairo 285Egypt

BACKGROUND Hepatobiliary manifestations occur in ulcerative colitis(UC)*** effect of laparoscopic restorative proctocolectomy(LRP)with ileal pouch anal anastomosis(IPAA)on hepatobiliary manifestations is *** To evaluate hepatobiliary changes after two-stages elective laparoscopic restorative proctocolectomy for patients with *** Between June 2013 and June 2018,167 patients with hepatobiliary symptoms underwent two-stage elective LRP for UC in a prospective observational *** with UC and having at least one hepatobiliary manifestation who underwent LRP with IPAA were included in the *** patients were followed up for four years to assess the outcomes of hepatobiliary *** The patients'mean age was 36±8 years,and males predominated(67.1%).The most common hepatobiliary diagnostic method was liver biopsy(85.6%),followed by Magnetic resonance cholangiopancreatography(63.5%),Antineutrophil cytoplasmic antibodies(62.5%),abdominal ultrasonography(35.9%),and Endoscopic retrograde cholangiopancreatography(6%).The most common hepatobiliary symptom was Primary sclerosing cholangitis(PSC)(62.3%),followed by fatty liver(16.8%)and gallbladder stone(10.2%).66.4%of patients showed a stable course after *** or regressive courses occurred in 16.8%of *** was 6%,and recurrence or progression of symptoms required surgery for 15%.Most PSC patients(87.5%)had a stable course,and only 12.5%became ***-thirds(64.3%)of fatty liver patients showed a regressive course,while one-third(35.7%)showed a stable *** rates were 98.8%,97%,95.8%,and 94%at 12 mo,24 mo,36 mo,and at the end of the *** In patients with UC who had LRP,there is a positive impact on hepatobiliary *** caused an improvement in PSC and fatty liver *** most prevalent unchanged course was PSC,while the most common improvement was fatty liver disease.

关键词： Courses Hepatobiliary manifestations Primary sclerosing cholangitis Restorative proctocolectomy

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