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Cervical Cancer Prediction Empowered with Federated Machine Learning

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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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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Hetero-phase zirconia encapsulated with Au nanoparticles for boosting electrocatalytic nitrogen reduction

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Chinese Chemical Letters 2024年第5期35卷 509-513页

作者： Xue Xin Qiming Qu Islam E.khalil Yuting Huang Mo Wei Jie Chen Weina Zhang Fengwei Huo Wenjing Liu Key Laboratory of Flexible Electronics(KLOFE)&Institute of Advanced Materials(IAM) Nanjing Tech UniversityNanjing 211816China

Electrocatalytic nitrogen reduction reaction(NRR)is considered as an attractive approach for ammonia synthesis under mild conditions.A bottleneck of NRR is the exploration of efficient catalysts for accelerating reaction kinetics,among which heterogeneous structures possessing distinct atomic arrangement could modify electronic structure,and therefore altering their NRR ***,we report a facile strategy for fabricating hetero-phase metal oxides derived from metal organic framework that are further integrated with Au nanoparticles as NRR *** phase composition of zirconia can be easily adjusted by simply changing the reaction temperature,where the monoclinic and tetragonal phases with the roughly close proportions have a distinct interface,leading to a strong interaction between Au and ZrO_(2).The enhanced interaction renders Au to be more electropositive and facilitates stronger binding to N_(2).As a result,a remarkable ammonia yield of 22.32μg h^(-1)mg_(cat.)^(-1) and a Faradaic efficiency of 31.92%can be achieved at low *** work is expected to pave the way for the design of heterogeneous structures and the exploration of hetero-phase nanostructures in boosting the electrocatalytic NRR.

关键词： Hetero-phase Metal-organic framework derivatives Zirconia Nitrogen reduction reaction Electrochemistry

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Multi-site Passivation of ZnO Metal Oxides via Biomolecules for Efficient and Highly Stable Organic Solar Cells

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Chinese Journal of Chemistry 2024年第14期42卷 1582-1592页

作者： Irfan Ismail Maria khalil Xiaomei Gao Xingze Chen Muhammad Jawad Rong Huang Zhiyun Li Emmanuel Acheampong Tsiwah Wei-shi Li Qun Luo Chang-Qi Ma i-Lab&Printable Electronics Research Center Suzhou Institute of Nano-Tech and Nano-Bionics(SINANO)Chinese Academy of Sciences(CAS)SuzhouJiangsu215123 China University of Chinese Academy of Sciences(UCAS) Beijing100040 China School of Nano-Tech and Nano-Bionics University of Science and Technology of China(USTC)HefeiAnhui230027 China Shanghai Institute of Organic Chemistry(SIOC) Chinese Academy of Sciences(CAS)Shanghai200032 China Vacuum Interconnected Nanotech Workstation(Nano-X) SuzhouJiangsu215123 China

ZnO nanoparticles(nps)among metal oxide(MOs)are proven to be essential electron transporting layers(ETLs)applied in organic solar cells(OSCs).However,intrinsic defects,interfacial charge recombination,and catalytic behavior towards the active layer restrict the applications of ZnO nps for efficient and long-term stable *** commonly available biomolecule cytidine 5'-monophosphate(CMP-OH)with phosphonic acid,its salt cytidine 5'-monophosphate disodium salt(CMP-ONa)with a phosphate group as an anchoring group and conjugated terminal functional in both analogous molecules provide carrier transfer bridge at bottom interface of the active *** theoretical investigations and characterizations have discovered the multi-site coordination of CMP-OH towards acceptor molecules and ZnO *** dual-side alignment of CMP analogous molecules hinders interfacial charge recombination and enhances charge transfer potential at ***,PM6:L8-BO-based OSCs with modified ETL obtain 18.13%efficiency,12%higher than that of unmodified *** higher efficiency,CMP-OH-based OSC devices illustrate remarkably improved thermal stability for 500 h at 85℃with 72%of initial PCE and operation stability for 2000 h with 90.1%of initial *** work reveals the passivation mechanism of multi-anchoring groups towards MOs and single-functional groups towards the active layer to optimize the interface for efficient and highly stable OSCs.

关键词： Organic solar cells Nanoparticles Nucleotides Interfacial interactions Surface chemistry Multi-site passivation

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Pros and cons of live kidney donation in prediabetics: A critical review and way forward

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World Journal of Transplantation 2024年第1期14卷 12-31页

作者： Muhammad Abdul Mabood khalil Nihal Mohammed Sadagah Jackson Tan Furrukh Omair Syed Vui Heng Chong Salem H Al-Qurashi Center of Renal Diseases and Transplantation King Fahad Armed Forces Hospital JeddahJeddah 23311Saudi Arabia Department of Nephrology RIPAS Hospital Brunei DarussalamBrunei Muara BA1710Brunei Darussalam Division of Gastroenterology and Hepatology Department of MedicineRaja Isteri Pengiran Anak Saleha HospitalBandar Seri Begawan BA1710Brunei Darussalam

There is shortage of organs,including kidneys,*** with deceased kidney transplantation,there is a significant rise in live kidney *** prevalence of prediabetes(PD),including impaired fasting glucose and impaired glucose tolerance,is on the rise across the *** teams frequently come across prediabetic kidney donors for *** are at risk of diabetes,chronic kidney disease,cardiovascular events,stroke,neuropathy,retinopathy,dementia,depression and nonalcoholic liver disease along with increased risk of all-cause ***,most of the studies done in prediabetic kidney donors are retrospective in nature and have a short follow up *** is lack of prospective long-term studies to know about the real risk of complications after ***,there are variations in recommendations from various guidelines across the globe for donations in prediabetics,leading to more confusion among *** increases the responsibility of transplant teams to take appropriate decisions in the best interest of both donors and *** review focuses on pathophysiological changes of PD in kidneys,potential complications of PD,other risk factors for development of type 2 diabetes,a review of guidelines for kidney donation,the potential role of diabetes risk score and calculator in kidney donors and the way forward for the evaluation and selection of prediabetic kidney donors.

关键词： Live kidney donation Prediabetes Impaired fasting glucose Impaired glucose tolerance Review

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A New Discovery of Mineralization as Subseafloor Hydrothermal Replacement in the Duddar Super-Large SEDEX Lead-Zinc Deposit in Pakistan

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Journal of Earth Science 2024年第3期35卷 1075-1078页

作者： Huishan Zhang Yucai Song Jianing Sun Jun Hong Yasir Shaheen khalil Yanguang Li Haidi Zhang Zhihua Wang MNR Key Laboratory for the Study of Focused Magmatism and Giant Ore Deposits Xi’an Center of Geological SurveyChina Geological SurveyXi’an 710054China Institute of Geology Chinese Academy of Geological SciencesBeijing 100037China Chengdu Center of Geological Survey China Geological SurveyChengdu 610081China China Huaye Group Co. LtdBeijing 100037China Geological Survey of Pakistan Islamabad 44000Pakistan

0 INTRODUCTION Sedimentary exhalative(SEDEX)lead-zinc deposit was traditionally considered as a result of submarine hydrothermal exhalation,including exhalative plume and brine pool models(Izanloo et al.,2022;Spinks et al.,2021;Maghfouri et al.,2020;Sangster,2020,2018;Huang et al.,2019;Rajabi et al.,2015;Goodfellow and Lydon,2007;Large et al.,2005,2001;Peng et al.,2000;Goodfellow et al.,1993;Figures 1a,1b).However,recognition of mineralization as subseafloor hydrothermal replacement in a few SEDEX deposits has challenged the traditional consideration(Magnall et al.,2023,2021,2020a,b;Hayward et al.,2021;Figure 1c).Researchers come to believe that subseafloor replacement rather than submarine exhalation is a dominant process for SEDEX mineralization,but this needs to be examined through more case studies.

关键词： submarine mineralization seafloor

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Tangled web: Animal-human interaction and the rise of antibiotic resistance

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Infectious Diseases Research 2024年第1期5卷 1-2页

作者： Adel khalil Ibrahim Abeer Abdelnaser Awad Doaa Mohammad Ghaith Faculty of Veterinary Medicine Cairo UniversityGiza square 12211Egypt Faculty of Medicine Cairo UniversityAl-Manial 11559CairoEgypt.

Introduction Egypt is a Low-Middle Income Country(LMIC)with a population of 106,472,382 people in August 2022(Worldometers&Department of Economic and Social Affairs,2022).Available evidence suggests that there are misuse/overuse of antibiotic in Egypt[1].On recognizing the global threat of antibiotic resistance(AMR),Egypt launched the National Action Plan(NAP)in *** comprehensive plan,inspired by the Global Action Plan(GAP),united diverse stakeholders like ministries,universities,and international *** NAP tackled AMR through four key strategies:boosting public understanding of antibiotics,optimizing their use across humans and animals,embracing a“One Health”approach,and implementing effective infection prevention practices[2].

关键词： Action boosting resistance

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ABMRF:An Ensemble Model for Author Profiling Based on Stylistic Features Using Roman Urdu

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Intelligent Automation & Soft Computing 2024年第2期39卷 301-317页

作者： Aiman Muhammad Arshad Bilal Khan khalil Khan Ali Mustafa Qamar Rehan Ullah Khan Department of Computer Science City University of Science and Information TechnologyPeshawarPakistan Department of Computer Science School of Engineering and Digital SciencesNazarbayev UniversityAstanaKazakhstan Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia

This study explores the area of Author Profiling(AP)and its importance in several industries,including forensics,security,marketing,and education.A key component of AP is the extraction of useful information from text,with an emphasis on the writers’ages and *** improve the accuracy of AP tasks,the study develops an ensemble model dubbed ABMRF that combines AdaBoostM1(ABM1)and Random Forest(RF).The work uses an extensive technique that involves textmessage dataset pretreatment,model training,and *** evaluate the effectiveness of several machine learning(ML)algorithms in classifying age and gender,including Composite Hypercube on Random Projection(CHIRP),Decision Trees(J48),Na飗e Bayes(NB),K Nearest Neighbor,AdaboostM1,NB-Updatable,RF,andABMRF,they are *** findings demonstrate thatABMRFregularly beats the competition,with a gender classification accuracy of 71.14%and an age classification accuracy of 54.29%,*** metrics like precision,recall,F-measure,Matthews Correlation Coefficient(MCC),and accuracy support ABMRF’s outstanding performance in age and gender profiling *** study demonstrates the usefulness of ABMRF as an ensemble model for author profiling and highlights its possible uses in marketing,law enforcement,and *** results emphasize the effectiveness of ensemble approaches in enhancing author profiling task accuracy,particularly when it comes to age and gender identification.

关键词： Machine learning author profiling AdaBoostM1 random forest ensemble learning text classification

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Critical Operation Strategies Toward High-Performance Lithium Metal Batteries

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Renewables 2023年第2期1卷 114-141页

作者： Lanting Qian Tyler Or Yun Zheng Matthew Li Dana Karim Andy Cui Moin Ahmed HeyWoong Park Zhen Zhang Yaping Deng Aiping Yu Zhongwei Chen khalil amine Department of Chemical Engineering Waterloo Institute for NanotechnologyUniversity of WaterlooWaterlooOntario N2L 3G1 Chemical Sciences and Engineering Division Argonne National LaboratoryLemontIllinois 60439 Hinsdale Central High School HindsaleIllinois 50521 Henry Gunn High School Palo AltoCalifornia 94306

Commercial lithium(Li)-ion batteries(LIBs)are approaching their theoretical limits in energy *** a result,Li metal batteries(LMBs)with either liquid or solid-state electrolytes have been proposed as a next-generation alternative,although they currently pose major safety and stability *** resolve these issues,most research has focused on the development and production of novelmaterials and *** promising performance benchmarks have been achieved,these strategiesmay generate issues for large-scale production,due to the added costs associated with using novel materials and developing the required cell fabrication process and *** external conditions,such as selecting specific cell cycling protocols,testing the cell or synthesizing materials at specific temperatures,testing or fabricating the cell under specific mechanical pressures,etc.,are often overlooked as a means of directly improving battery performance without requiring complex material *** this review,we will discuss how these external parameters can address the key failure mechanisms and challenges in LMBs that use either liquid or solid *** and differences in mechanisms(Li+transport,Li dendrite propagation,thermal effects,etc.)observed in liquid and solid-state configurations will also be ***,we propose the outstanding scientific and economic gaps in LMBs,thereby providing future directions to explore.

关键词： energy storage lithium metal batteries solidstate batteries temperature protocols pressure

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Structural evolution of solid-state Li2O2 with reduced charge overpotential in Li-O2 batteries

Structural evolution of solid-state Li2O2 with reduced charg...

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中国化学会第二十次全国电化学大会

作者： Guoqiang Tan Jun Lu Lina Chong Jianguo Wen Lu Ma Yifei Yuan Xiaoqiao Zeng John E.Pearson Tao Li Tianpin Wu Cong Liu Di-Jia Liu khalil amine Chemical Sciences and Engineering Division Argonne National Laboratory Center for Nanoscale Materials Argonne National Laboratory X-ray Science Division Argonne National Laboratory Materials Science Division Argonne National Laboratory

Reducing charge-discharge overpotential is helpful to enhance efficiency and cyclability of Li-O2 batteries. In a common non-aqueous Li-O2 cell, the overpotential is largely related to the formation and decomposition processes of solid-state Li2O2. Although several intrinsic properties of Li2O2 have been considered to contribute to the high overpotential, such as the low electrical conductivity, slow dynamics, large particle aggregations, and side-reaction products, ***,1-4

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