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A gated recurrent unit model to predict Poisson’s ratio using deep learning

Journal of Rock Mechanics and Geotechnical Engineering 2024年第1期16卷 123-135页

作者： Fahd Saeed Alakbari Mysara Eissa Mohyaldinn Mohammed Abdalla Ayoub Ibnelwaleed A.Hussein Ali Samer Muhsan Syahrir Ridha Abdullah Abduljabbar Salih Petroleum Engineering Department Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia Institute of Hydrocarbon Recovery Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia Gas Processing Center College of EngineeringQatar UniversityP.O.Box 2713DohaQatar Department of Chemical Engineering College of EngineeringQatar UniversityP.O.Box 2713DohaQatar Mechanical Engineering Department Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia

Static Poisson’s ratio(vs)is crucial for determining geomechanical properties in petroleum applications,namely sand *** models have been used to predict vs;however,the published models were limited to specific data ranges with an average absolute percentage relative error(AAPRE)of more than 10%.The published gated recurrent unit(GRU)models do not consider trend analysis to show physical *** this study,we aim to develop a GRU model using trend analysis and three inputs for predicting n s based on a broad range of data,n s(value of 0.1627-0.4492),bulk formation density(RHOB)(0.315-2.994 g/mL),compressional time(DTc)(44.43-186.9 μs/ft),and shear time(DTs)(72.9-341.2μ s/ft).The GRU model was evaluated using different approaches,including statistical error *** GRU model showed the proper trends,and the model data ranges were wider than previous *** GRU model has the largest correlation coefficient(R)of 0.967 and the lowest AAPRE,average percent relative error(APRE),root mean square error(RMSE),and standard deviation(SD)of 3.228%,1.054%,4.389,and 0.013,respectively,compared to other *** GRU model has a high accuracy for the different datasets:training,validation,testing,and the whole datasets with R and AAPRE values were 0.981 and 2.601%,0.966 and 3.274%,0.967 and 3.228%,and 0.977 and 2.861%,*** group error analyses of all inputs show that the GRU model has less than 5% AAPRE for all input ranges,which is superior to other models that have different AAPRE values of more than 10% at various ranges of inputs.

关键词： Static Poisson’s ratio Deep learning Gated recurrent unit(GRU) Sand control Trend analysis Geomechanical properties

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The resistance switching performance of the memristor improved effectively by inserting carbon quantum dots(CQDs)for digital information processing

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Nano Research 2024年第9期17卷 8438-8446页

作者： Tianqi Yu Jie Li Wei Lei Suhaidi Shafe Mohd Nazim Mohtar Nattha Jindapetch Paphavee van Dommelen Zhiwei Zhao Joint International Research Laboratory of Information Display and Visualization School of Electronic Science and EngineeringSoutheast UniversityNanjing 210096China Institute of Nanoscience and Nanotechnology University Putra MalaysiaSerdangSelangor 43400Malaysia Department of Electrical Engineering Faculty of EngineeringPrince of Songkla UniversityHat YaiSongkhla 90112Thailand Division of Physical Science Faculty of SciencePrince of Songkla UniversityHat Yai Campus 15 KarnjanavanichHat YaiSongkhla 90110Thailand

As an emerging information device that adapts to development of the big data era,memristor has attracted much attention due to its advantage in processing massive ***,the nucleation and growth of conductive filaments often exhibit randomness and instability,which undoubtedly leads to a wide and discrete range of switching parameters,damaging the electrical performance of *** this work,a strategy of inserting carbon quantum dots(CQDs)into graphene oxide(GO)resistance layer is utilized to improve the stability of the switching parameters and the reliability of the device is *** with GO-based devices,GO/CQDs/GO-based devices exhibit a more stable resistance switching curve,low power,lower and more concentrated threshold voltage parameters with lower variation coefficient,faster switching speed,and more stable retention and *** cause-inducing performance improvement may be attributed to the local electric field generated by CQDs in resistance switching that effectively guides the formation and rupture of conductive filaments,which optimizes the effective migration distance of Ag^(+),thereby improving the uniformity of resistance ***,a convolutional neural network model is constructed to identify the CIFAR-10 data set,showing the high recognition accuracy of online and offline *** cross-kernel structure is used to further implement convolutional image processing through multiplication and accumulation *** work provides a solution to improve the performance of memristors,which can contribute to developing digital information processing.

关键词： carbon quantum dots memristor uniformity convolutional neural network convolutional image processing

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Bioresorbable stent unloading during percutaneous coronary intervention:Early detection and management

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World Journal of Cardiology 2024年第10期16卷 616-618页

作者： Nabil Eid Mohamed Abdel Wahab Amardev Singh Thanu Department of Anatomy Division of Human BiologySchool of MedicineIMU UniversityKuala Lumpur 57000Kuala LumpurMalaysia Department of Pediatrics School of MedicineIMU UniversityClinical CampusBatu Paha 83000JohorMalaysia M.Kandiah Faculty of Medicine and Health Sciences University Tunku Abdul RahmanKajang 43000SelangorMalaysia

In this letter,we comment on a recent case report by Sun et al in the World Journal of *** report describes the successful management of a rare complication:The unloading or detachment of a bioresorbable stent(BRS)during percutaneous coronary intervention(PCI)in a male *** unloading of BRS was detected via angiography and intravascular ultrasound(IVUS)imaging of the left coronary artery and left anterior descending *** this case is interesting,the authors’report lacked crucial ***,insufficient information about the type of BRS used,potential causes of BRS unloading,or whether optical coherence tomography(OCT)imaging for coronary arteries was performed before,during,or after *** OCT imaging of coronary arteries before PCI can potentially prevent BRS unloading due to its higher resolution compared to *** addition,despite detecting myocardial bridging during the PCI,the authors did not provide any details regarding this *** we discuss the various types of BRS,the importance of OCT in PCI,and the clinical relevance of myocardial bridging.

关键词： Coronary artery diseases Percutaneous coronary intervention Optical coherence tomography Bioresorbable/Biodegradable stents Stent unloading/detachment Myocardial bridge Intravascular ultrasound Coronary angiography

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Targeted Research on the Integration of Ideological and Political Education and Chinese Excellent Traditional Culture in Universities in Henan Province

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Journal of Contemporary Educational Research 2024年第7期8卷 100-106页

作者： Li Ma Suhaidah Binti Tahir Chuanwei Zhang Faculty of Education and Liberty Studies City University Malaysia46100 Petaling JayaSelangorMalaysia City Graduate School City University Malaysia46100 Petaling JayaSelangorMalaysia

This study aims to explore the integration of excellent traditional Chinese culture with ideological and political education in universities in Henan Province,focusing on the unique challenges and opportunities presented by the local *** a combination of quantitative and qualitative methods,the study analyzes the impact of cultural elements on political ideology and education in the *** study contributes to a broader discussion of educational reform in China and provides insights for policymakers and educators seeking to develop well-rounded,culturally informed citizens.

关键词： Ideological and political education Traditional culture Integration

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Stable Cycling of All-Solid-State Lithium Batteries Enabled by Cyano-Molecular Diamond Improved Polymer Electrolytes

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Nano-Micro Letters 2024年第10期16卷 561-575页

作者： Yang Dai Mengbing Zhuang Yi-Xiao Deng Yuan Liao Jian Gu Tinglu Song Hao Yan Jin-Cheng Zheng Department of Chemical Engineering Shanghai UniversityShangda Road 99Shanghai 200444People's Republic of China Department of Physics Xiamen UniversityXiamen 361005People's Republic of China Experimental Center of Advanced Materials School of Materials Science and Engineering Beijing Institute of TechnologyBeijing 100081People's Republic of China Department of Physics and Department of New Energy Science and Engineering Xiamen University Malaysia43900 SepangMalaysia

The interfacial instability of the poly(ethylene oxide)(PEO)-based electrolytes impedes the long-term cycling and further application of all-solid-state lithium metal *** this work,we have shown an effective additive 1-adaman-tanecarbonitrile,which con-tributes to the excellent per-formance of the poly(ethylene oxide)-based *** to the strong interaction of the 1-Adamantanecarboni-trile to the polymer matrix and anions,the coordination of the Li^(+)-EO is weakened,and the binding effect of anions is strengthened,thereby improving the Li^(+)conductivity and the electrochemical *** diamond building block on the surface of the lithium anode can sup-press the growth of lithium ***,the 1-Adamantanecarbonitrile also regulates the formation of LiF in the solid electrolyte interface and cathode electrolyte interface,which contributes to the interfacial stability(especially at high voltages)and protects the electrodes,enabling all-solid-state batteries to cycle at high voltages for long periods of ***,the Li/Li symmetric cell undergoes long-term lithium plating/stripping for more than 2000 h.1-Adamantanecarbonitrile-poly(ethylene oxide)-based LFP/Li and 4.3 V Ni_(0.8)Mn_(0.1)Co_(0.1)O_(2)/Li all-solid-state batteries achieved stable cycles for 1000 times,with capacity retention rates reaching 85%and 80%,respectively.

关键词： 1-Adamantanecarbonitrile(ADCN) Poly(ethylene oxide) All-solid-state batteries Interfacial stability High voltage

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Microstrip Patch Antenna with an Inverted T-Type Notch in the Partial Ground for Breast Cancer Detections

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1301-1322页

作者： Nure Alam Chowdhury Lulu Wang Md Shazzadul Islam Linxia Gu Mehmet Kaya Department of Biomedical Engineering and Science Florida Institute of TechnologyMelbourneFL 32901USA Biomedical Device Innovation Center Shenzhen Technology UniversityShenzhen518118China Department of Electrical and Computer Engineering International Islamic University MalaysiaJalan GombakSelangor53100Malaysia

This study designs a microstrip patch antenna with an inverted T-type notch in the partial ground to detect tumorcells inside the human *** size of the current antenna is small enough(18mm×21mm×1.6mm)todistribute around the breast *** operating frequency has been observed from6–14GHzwith a minimumreturn loss of−61.18 dB and themaximumgain of current proposed antenna is 5.8 dBiwhich is flexiblewith respectto the size of *** the distribution of eight antennas around the breast phantom,the return loss curveswere observed in the presence and absence of tumor cells inside the breast phantom,and these observations showa sharp difference between the presence and absence of tumor *** simulated results show that this proposedantenna is suitable for early detection of cancerous cells inside the breast.

关键词： Antenna microwave wideband cancer breast phantom tumor detection

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Advancing sandstone reservoir compressibility prediction:A correlation-driven methodology

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Petroleum Research 2024年第2期9卷 273-279页

作者： Tarek Ganat Meftah Hrairi Amr Badawy Vahid Khosravi Mohammed Abdalla Department of Petroleum Chemical Engineering Sultan Qaboos UniversityP.O.Box 50Al-Khod123MuscatOman Department of Mechanical and Aerospace Engineering International Islamic University MalaysiaP.O.Box 1050728Kuala LumpurMalaysia Reservoir Engineering Section Petronas Carigali SDN BHDP.O.Box 10500088Kuala LumpurMalaysia Department of Chemical and Petroleum Engineering Faculty of EngineeringTechnologyand Built EnvironmentUCSI University56000Kuala LumpurMalaysia Chemical&Petroleum Engineering United Arab Emirates UniversityP.O.Box No.15551Al AinUAE

This study presents a correlation-based approach for predicting the compressibility of sandstone reservoir *** study proposes a matrix of new empirical equations that significantly improve the precision of measuring the pore volume compressibility,with the most optimal fit of results based on a cubic polynomial *** accuracy of the calculations was validated through comparison with actual data using root mean square method,and the suggested correlations significantly enhance the precise prediction of rock compressibility in sandstone *** this study,the source of data collection is consolidated and unconsolidated sandstone from East Asia offshore ***,variations in compressibility with net overburden pressure over the course of the field's lifespan have been *** results demonstrate the application of regression analysis in establishing a network of linkages between independent and dependent *** proposed correlations for consolidated and unconsolidated sandstones offer a remarkable improvement in the accurate calculation of rock compressibility compared to traditional laboratory procedures,with an average error of 2.5%compared to 5-10%for laboratory *** approach of this study offers a cost-effective and time-efficient alternative to remarkedly enhance the overall performance of sandstone reservoirs in the oil and gas industry.

关键词： Compressibility Consolidated and unconsolidated sandstone Rock properties Rock mechanics

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Improved Manta Ray Foraging Optimizer-based SVM for Feature Selection Problems:A Medical Case Study

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Journal of Bionic Engineering 2024年第1期21卷 409-425页

作者： Adel Got Djaafar Zouache Abdelouahab Moussaoui Laith Abualigah Ahmed Alsayat Faculty of informatics University of Science and Technology Houari BoumedieneAlgiersAlgeria LRIA Laboratory University of Science and Technology Houari BoumedieneAlgiersAlgeria Computer Science Department University of Mohamed El Bachir El IbrahimiBordj Bou ArreridjAlgeria Computer Science Department University of Ferhat AbbasSetifAlgeria Computer Science Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl al-Bayt UniversityMafraq 25113Jordan Department of Computer Science College of Computer and Information SciencesJouf UniversityJoufSaudi Arabia Department of Electrical and Computer Engineering Lebanese American University13-5053ByblosLebanon Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman 19328Jordan MEU Research Unit Middle East UniversityAmman 11831Jordan Applied science research center Applied science private universityAmman 11931Jordan School of Computer Sciences Universiti Sains Malaysia11800 PenangMalaysia School of Engineering and Technology Sunway University Malaysia27500 Petaling JayaMalaysia

Support Vector Machine(SVM)has become one of the traditional machine learning algorithms the most used in prediction and classification ***,its behavior strongly depends on some parameters,making tuning these parameters a sensitive step to maintain a good *** the other hand,and as any other classifier,the performance of SVM is also affected by the input set of features used to build the learning model,which makes the selection of relevant features an important task not only to preserve a good classification accuracy but also to reduce the dimensionality of *** this paper,the MRFO+SVM algorithm is introduced by investigating the recent manta ray foraging optimizer to fine-tune the SVM parameters and identify the optimal feature subset *** proposed approach is validated and compared with four SVM-based algorithms over eight benchmarking ***,it is applied to a disease Covid-19 *** experimental results show the high ability of the proposed algorithm to find the appropriate SVM’s parameters,and its acceptable performance to deal with feature selection problem.

关键词： Support vector machine Parameters tuning Feature selection Bioinspired algorithms Manta ray foraging optimizer

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Uncovering the impact of alcohol on internal organs and reproductive health:Exploring TLR4/NF-kB and CYP2E1/ROS/Nrf2 pathways

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Animal Models and Experimental Medicine 2024年第4期7卷 444-459页

作者： Eason Qi Zheng Kong Vetriselvan Subramaniyan Natasha Sura Anak Lubau Pharmacology Unit Jeffrey Cheah School of Medicine and Health SciencesMonash University MalaysiaSubang JayaSelangorMalaysia Center for Global Health Research Saveetha Medical CollegeSaveetha Institute of Medical and Technical SciencesChennaiTamil NaduIndia

This review delves into the detrimental impact of alcohol consumption on internal organs and reproductive health,elucidating the underlying mechanisms involving the Toll-like receptor 4(TLR4)/Nuclear factor kappa light chain enhancer of activated B cells(NF-kB)pathway and the Cytochrome P4502E1(CYP2E1)/reactive oxygen spe-cies(ROS)/nuclear factor erythroid 2-related factor 2(Nrf2)*** TLR4/NF-kB pathway,crucial for inflammatory and immune responses,triggers the production of pro-inflammatory agents and type-1 interferon,disrupting the balance between inflammatory and antioxidant responses when tissues are chronically exposed to ***-induced dysbiosis in gut microbes heightens gut wall permeability to pathogen-associated molecular patterns(PAMPs),leading to liver cell infection and subsequent ***,CYP2E1-mediated alcohol metabolism gen-erates ROS,causing oxidative stress and damaging cells,lipids,proteins,and deoxy-ribonucleic acid(DNA).To counteract this inflammatory imbalance,Nrf2 regulates gene expression,inhibiting inflammatory progression and promoting antioxidant *** alcohol intake results in elevated liver enzymes(ADH,CYP2E1,and catalase),ROS,NADH,acetaldehyde,and acetate,leading to damage in vital organs such as the heart,brain,and ***,alcohol negatively affects reproduc-tive health by inhibiting the hypothalamic-pituitary-gonadal axis,causing infertility in both men and *** findings underscore the profound health concerns associated with alcohol-induced damage,emphasizing the need for public awareness regarding the intricate interplay between immune responses and the multi-organ im-pacts of alcohol consumption.

关键词： alcohol health impact inflammation metabolism molecular pathways

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Automatic Finding of Brain-Tumour Group Using CNN Segmentation and Moth-Flame-Algorithm,Selected Deep and Handcrafted Features

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Computers, Materials & Continua 2024年第5期79卷 2585-2608页

作者： Imad Saud Al Naimi Syed Alwee Aljunid Syed Junid Muhammad lmran Ahmad K.Suresh Manic Faculty of Electronic Engineering Technology University Malaysia Perils(UniMAP)Pauh Putra CampusArauPerlis02600Malaysia Department of Electrical and Communication Engineering National University of Science and TechnologyAL HailAL Seeb130Sultanate of Oman Department of Research and Innovation Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)ChennaiTamiNadu602105India

Augmentation of abnormal cells in the brain causes brain tumor(BT),and early screening and treatmentwill reduce its harshness in ***’s clinical level screening is usually performed with Magnetic Resonance Imaging(MRI)due to its multi-modality *** overall aims of the study is to introduce,test and verify an advanced image processing technique with algorithms to automatically extract tumour sections from brain MRI scans,facilitating improved *** research intends to devise a reliable framework for detecting the BT region in the twodimensional(2D)MRI slice,and identifying its class with improved *** methodology for the devised framework comprises the phases of:(i)Collection and resizing of images,(ii)Implementation and Segmentation of Convolutional Neural Network(CNN),(iii)Deep feature extraction,(iv)Handcrafted feature extraction,(v)Moth-Flame-Algorithm(MFA)supported feature reduction,and(vi)Performance *** study utilized clinical-grade brain MRI of BRATS and TCIA datasets for the *** framework segments detected the glioma(low/high grade)and glioblastoma class *** work helped to get a segmentation accuracy of over 98%with VGG-UNet and a classification accuracy of over 98%with the VGG16 *** study has confirmed that the implemented framework is very efficient in detecting the BT in MRI slices with/without the skull section.

关键词： Brain tumour VGG-UNet VGG16 moth-flame-algorithm classification

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