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Depositional facies and reservoir characteristics of the Early Cretaceous Lower Goru Formation,Lower Indus Basin Pakistan:Integration of petrographic and gamma-ray log analysis

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Petroleum 2023年第3期9卷 331-341页

作者： Qamar UZ Zaman Dar Pu Renhai Shahid Ghazi Shakeel Ahme Rana Imran Ali mubashir mehmood Department of Geology Northwest UniversityXi'an710069China Institute of Geology University of the PunjabLahore54000Pakistan Oil and Gas Development Company Limited Islamabad44000Pakistan Kuwait Foreign Petroleum Exploration Company(Kufpec) Islamabad44000Pakistan Department of Geology Abdul Wali Khan UniversityMardan23130Pakistan

The sand intervals of the Early Cretaceous Lower Goru Formation are a conventional reservoir,generally distributed in the Middle and Lower Indus Basin of *** formation is classified into two parts;the upper parts are predominantly composed of shale,siltstone,and thin layers of alternate shale and sandstone,while the lower parts are composed of sandstone with interlayering of shale and *** sandstone of the Lower Goru Formation has been further divided into A,B,C,and D sand intervals based on reservoir *** depositional facies and reservoir characteristics are essential for the evaluation of hydrocarbon exploration and *** paper aims to evaluate the depositional environment and reservoir characterization of the siliciclastic reservoir of the Early Cretaceous Lower Goru Formation by integrating the gamma-ray log patterns and petrographic analysis and scanning electron microscopic(SEM)*** characterization of the sand intervals and Gamma-ray log signatures were used for the interpretation of the depositional environment of the reservoir *** analysis reveals that the sandstone of the Lower Goru Formation is fine-to medium-grained,well-sorted,arkose or feldspathic *** intergranular macroporosity,secondary intragranular macropores,and Intercrystalline micropores were identified within the sandstone by the SEM *** diagenetic analysis suggests that the sandstone possesses high porosity,low permeability,and has undergone significant alterations such as compaction,quartz cementation,feldspar dissolution,and clay minerals *** electrofacies are interpreted based on gamma-ray log patterns including(1)funnel shape(FA);(2)bell shape(FB);(3)cylindrical shape(FC);(4)bow shape(FD);and(5)serrated shape(FE)*** interpreted facies results reveal shoreface environment for A-sand,Tidal flat for B-sand,mixed tidal flat for C sand,Tide dominated mixed fo

关键词： Depositional facies Early cretaceous Electrofacies Gamma-ray pattern Lower goru Petrographic analysis

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Facies Analysis, Sequence Stratigraphy and Diagenetic Studies of the Jurassic Carbonates of the Kohat Basin, Northwest Pakistan: Reservoir Implications

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Acta Geologica Sinica(English Edition) 2022年第5期96卷 1673-1692页

作者： Emadullah KHAN Abbas Ali NASEEM Suleman KHAN Bilal WADOOD Faisal REHMAN Maryam SALEEM mubashir mehmood Waqar AHMAD Zubair AHMED Tahir AZEEM Department of Earth Sciences Quaid-e-Azam UniversityIslamabad 45320Pakistan Department of Geology Abdul Wali Khan UniversityMardan 23200Pakistan Department of Geology University of PeshawarPeshawar 24420Pakistan State Key Laboratory of Continental Dynamics Department of GeologyNorthwest UniversityXi’an 71006China Department of Geology University of SwabiSwabi 23561Pakistan Department of Earth&Environmental Sciences Bahria UniversityIslamabad 44000Pakistan Department of Earth&Atmospheric Sciences University of AlbertaEdmonton T6G 2R3Canada

The present study deals with the depositional facies, diagenetic processes and sequence stratigraphy of the shallow marine carbonates of the Samana Suk Formation, Kohat Basin, in order to elucidate its reservoir quality. The Samana Suk Formation consists of thin to thick-bedded, oolitic, bioclastic, dolomitic and fractured limestone. Based on the integration of outcrop, petrographic and biofacies analyses, the unit is thought to have been deposited on a gentle homoclinal ramp in peritidal, lagoonal and carbonate shoal settings. Frequent variations in microfacies based sea-level curve have revealed seven Transgressive Systems Tracts(TSTs) and six Regressive Systems Tracts(RSTs). The unit has undergone various stages of diagenetic processes, including mechanical and chemical compaction, cementation,micritization, dissolution and dolomitization. The petrographic analyses show the evolution of porosity in various depositional and diagenetic phases. The fenestral porosity was mainly developed in peritidal carbonates during deposition,while the burial dissolution and diagenetic dolomitization have greatly enhanced the reservoir potential of the rock unit, as is further confirmed by the plug porosity and permeability analyses. The porosities and permeabilities were higher in shoal facies deposited in TSTs, as compared to lagoonal and peritidal facies, except for the dolomite in mudstone, deposited during RSTs. Hence good, moderate and poor reservoir potential is suggested for shoal, lagoonal and peritidal facies,respectively.

关键词： porosity diagenesis reservoir Samana Suk Formation Kohat Basin

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An Efficient Method for Underwater Video Summarization and Object Detection Using YoLoV3

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Intelligent Automation & Soft Computing 2023年第2期35卷 1295-1310页

作者： mubashir Javaid Muazzam Maqsood Farhan Aadil Jibran Safdar Yongsung Kim Department of Computer Science UETTaxilaPakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttockPakistan Department of Technology Education Chungnam National UniversityDaejeon34134Korea

Currently,worldwide industries and communities are concerned with building,expanding,and exploring the assets and resources found in the oceans and *** precisely,to analyze a stock,archaeology,and surveillance,sev-eral cameras are installed underseas to collect ***,on the other hand,these large size videos require a lot of time and memory for their processing to extract relevant ***,to automate this manual procedure of video assessment,an accurate and efﬁcient automated system is a greater *** this perspective,we intend to present a complete framework solution for the task of video summarization and object detection in underwater *** employed a perceived motion energy(PME)method toﬁrst extract the keyframes followed by an object detection model approach namely YoloV3 to perform object detection in underwater *** issues of blurriness and low contrast in underwater images are also taken into account in the presented approach by applying the image enhancement ***,the suggested framework of underwater video summarization and object detection has been evaluated on a publicly available brackish *** is observed that the proposed framework shows good performance and hence ultimately assists several marine researchers or scientists related to theﬁeld of underwater archaeology,stock assessment,and surveillance.

关键词： Computer vision deep learning digital image processing underwater video analysis video summarization object detection YOLOV3

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Impact of nutritional education on knowledge,attitude and practice regarding anemia among school children in Belgaum,India

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Global Health Journal 2022年第2期6卷 91-94页

作者： Adhikari Poudel Sasmita Angolkar mubashir Naik Vijaya Institute of Disaster Risk Reduction LalitpurNepal Department of Public Health Jawaharlal Nehru Medical College KLE UniversityBelgaumIndia

Background:Anemia is a common public health problem throughout the globe with its main effect not only on health of people but also impact on socioeconomic development.A high prevalence of anemia among school children is an indication of a severe problem highlighting the necessity of proper action to prevent further *** study sought to study the impact of nutritional education on knowledge,attitude,and practice regarding anemia among school ***:This is an interventional study among school children of Kendriye Vidyalaya,No.2 Belgaum district,*** and self-administered questionnaires were used to know the knowledge,attitude and practice of student *** data were analyzed using paired t-test and McNemar ***:There was significant increment in the mean knowledge and attitude scores of the school children at the post-test *** increase of 51.2%in mean score of knowledge and overall increase of 20.7%in mean score of attitudes was found(P<0.05).Increase in frequency of consumption pattern of iron rich foods especially ragi,jaggery,green leafy vegetables and sprouted grains was ***:The nutritional education resulted in improvement of knowledge and change in attitude regarding anemia as well as increase in consumption of foods rich in ***,nutritional education is one of the cost-effective and sustainable method for lowering the cases of anemia.

关键词： Anemia Nutritional education School children Intervention study

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Thermal optimization of MHD nanofluid over a wedge by using response surface methodology:Sensitivity analysis

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Propulsion and Power Research 2023年第4期12卷 556-567页

作者： Ahmed Zeeshan Dilawar Hussain Zaheer Asghar Muhammad mubashir Bhatti Faisal Z.Duraihem Department of Mathematics&Statistics FBASInternational Islamic UniversityIslamabadH-10Islamabad 44000Pakistan Department of Mathematics Faculty of Natural and Health SciencesUniversity of BaltistanSkardu 16100Pakistan Centre for Mathematical Sciences Pakistan Institute of Engineering and Applied SciencesNiloreIslamabad 45650Pakistan Department of Physics and Applied Mathematics Pakistan Institute of Engineering and Applied SciencesNiloreIslamabad 45650Pakistan Department of Mathematics and System Sciences Shandong University of Science and TechnologyShandongChina Department of Mathematics College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Saudi Arabia

It is well documented that heat transfer is enhanced with addition of nanosized particles in ***,in a mechanical system there are variety of factors influences the heat *** factors are significant while others are *** this paper,authors will discuss sensitivity of different input parameters such as Le,Nt and Nb on output responses𝑁Nu_(x)and Sh_(x).To achieve this goal,the problem is modeled using basic conservation *** formulated model is a set of PDEs,which are converted to set of non-linear ODEs by using similarity *** these ODEs are solved numerically by using MATLAB built in package bvp4c and compared the numerical results with existing work and found good *** analysis is performed by employing RSM to determine the relationship between the input parameters such that 0.1≤Le≤1,0.1≤Nt≤1 and 0.1≤Nb≤1 and the output responses(Nu_(x)and Sh_(x)).ANOVA tables are generated by using *** using the ANOVA tables the correlations between input parameters and output response are *** check the validity of correlated equations,the residuals are plotted graphically and show best correlations between input parameters and output *** high values of R^(2)=98.65 and AdjR^(2)=97.43 for Nu_(x)and R^(2)=97.83 and AdjR^(2)=95.88 for Sh_(x)demonstrates the high validity of ANOVA results to perform sensitivity ***,we have conducted a sensitivity analysis of the responses and came to the important results that Nt and Nb is most sensitive to Nusselt number and Sherwood number respectively.

关键词： Sensitivity analysis Nusselt number Sherwood number Response surface methodology(RSM) Analysis of variance(ANOVA) Nano fluid

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A Novel SE-CNN Attention Architecture for sEMG-Based Hand Gesture Recognition

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Computer Modeling in Engineering & Sciences 2023年第1期134卷 157-177页

作者： Zhengyuan Xu Junxiao Yu Wentao Xiang Songsheng Zhu mubashir Hussain Bin Liu Jianqing Li Key Laboratory of Clinical and Medical Engineering School of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjing211166China Department of Medical Engineering Wannan Medical CollegeWuhu241002China Postdoctoral Innovation Practice Shenzhen PolytechnicShenzhen518055China

In this article,to reduce the complexity and improve the generalization ability of current gesture recognition systems,we propose a novel SE-CNN attention architecture for sEMG-based hand gesture *** proposed algorithm introduces a temporal squeeze-and-excite block into a simple CNN architecture and then utilizes it to recalibrate the weights of the feature outputs from the convolutional *** enhancing important features while suppressing useless ones,the model realizes gesture recognition *** last procedure of the proposed algorithm is utilizing a simple attention mechanism to enhance the learned representations of sEMG signals to performmulti-channel sEMG-based gesture recognition *** evaluate the effectiveness and accuracy of the proposed algorithm,we conduct experiments involving multi-gesture datasets Ninapro DB4 and Ninapro DB5 for both inter-session validation and subject-wise *** a series of comparisons with the previous models,the proposed algorithm effectively increases the robustness with improved gesture recognition performance and generalization ability.

关键词： Hand gesture recognition sEMG CNN temporal squeeze-and-excite attention

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A Smart Heart Disease Diagnostic System Using Deep Vanilla LSTM

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Computers, Materials & Continua 2023年第10期77卷 1251-1279页

作者： Maryam Bukhari Sadaf Yasmin Sheneela Naz Mehr Yahya Durrani mubashir Javaid Jihoon Moon Seungmin Rho Department of Computer Science COMSATS University IslamabadAttock CampusAttockPakistan Department of Computer Science COMSATS University IslamabadIslamabadPakistan Department of Computer Science UET TaxilaTaxilaPakistan Department of AI and Big Data Soonchunhyang UniversityAsanKorea Department of Industrial Security Chung-Ang UniversitySeoul06974Korea

Effective smart healthcare frameworks contain novel and emerging solutions for remote disease diagnostics,which aid in the prevention of several diseases including heart-related *** this context,regular monitoring of cardiac patients through smart healthcare systems based on Electrocardiogram(ECG)signals has the potential to save many *** existing studies,several heart disease diagnostic systems are proposed by employing different state-of-the-art methods,however,improving such methods is always an intriguing area of ***,in this research,a smart healthcare system is proposed for the diagnosis of heart disease using ECG *** proposed framework extracts both linear and time-series information on the ECG signals and fuses them into a single framework *** linear characteristics of ECG signals are extracted by convolution layers followed by Gaussian Error Linear Units(GeLu)and time series characteristics of ECG beats are extracted by Vanilla Long Short-Term Memory Networks(LSTM).Following on,the feature reduction of linear information is done with the help of ID Generalized Gated Pooling(GGP).In addition,data misbalancing issues are also addressed with the help of the Synthetic Minority Oversampling Technique(SMOTE).The performance assessment of the proposed model is done over the two publicly available datasets named MIT-BIH arrhythmia database(MITDB)and PTB Diagnostic ECG database(PTBDB).The proposed framework achieves an average accuracy performance of 99.14%along with a 95%recall value.

关键词： Smart systems deep learning ECG signals heart disease concurrent learning LSTM generalized gated pooling

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Machine Learning Based Psychotic Behaviors Prediction from Facebook Status Updates

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Computers, Materials & Continua 2022年第8期72卷 2411-2427页

作者： mubashir Ali Anees Baqir Hafiz Husnain Raza Sherazi Asad Hussain Asma Hassan Alshehri Muhammad Ali Imran Department of Management Information and Production EngineeringUniversity of BergamoBergamo24129Italy Department of Environmental Sciences Informatics and StatisticsCa’Foscari University of VeniceVenice30123Italy School of Computing and Engineering University of West LondonLondonW55RFUK Department of Engineering and Applied Sciences University of BergamoBergamo24129Italy Durma College of Science and Humanities Shaqra UniversityShaqra11961Saudi Arabia School of Engineering University of GlasgowGlasgowG128QQUK

With the advent of technological advancements and the widespread Internet connectivity during the last couple of decades,social media platforms(such as Facebook,Twitter,and Instagram)have consumed a large proportion of time in our daily *** tend to stay alive on their social media with recent updates,as it has become the primary source of interactionwithin social *** social media platforms offer several remarkable features but are simultaneously prone to various critical *** studies have revealed a strong correlation between the usage of social media and associated mental health issues consequently leading to depression,anxiety,suicide commitment,and mental disorder,particularly in the young adults who have excessively spent time on socialmedia which necessitates a thorough psychological analysis of all these *** study aims to exploit machine learning techniques for the classification of psychotic issues based on Facebook status *** this paper,we start with depression detection in the first instance and then expand on analyzing six other psychotic issues(e.g.,depression,anxiety,psychopathic deviate,hypochondria,unrealistic,and hypomania)commonly found in adults due to extreme use of social media *** classify the psychotic issues with the user’s mental state,we have employed different Machine Learning(ML)classifiers i.e.,Random Forest(RF),Support Vector Machine(SVM),Naïve Bayes(NB),and K-Nearest Neighbor(KNN).The used ML models are trained and tested by using different combinations of features selection *** observe themost suitable classifiers for psychotic issue classification,a cost-benefit function(sometimes termed as‘Suitability’)has been used which combines the accuracy of the model with its execution *** experimental evidence argues that RF outperforms its competitor classifiers with the unigram feature set.

关键词： Psychotic behaviors mental health socialmedia machine learning

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5G Antenna Gain Enhancement Using a Novel Metasurface

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Computers, Materials & Continua 2022年第8期72卷 3601-3611页

作者： mubashir Ashfaq Shahid Bashir Syed Imran Hussain Shah Nisar Ahmad Abbasi Hatem Rmili Muhammad Abbas Khan Department of Electrical Engineering UETPeshawar25000Pakistan Department of Electrical Engineering Chungnam National UniversityDaejeonKorea Department of Electrical Engineering University of Hafr Al BatinKSA Electrical and Computer Engineering Department Faculty of EngineeringKing Abdulaziz UniversityJeddahKSA K.A.CARE Energy Research and Innovation Center King Abdulaziz UniversityJeddah21589KSA Department of Electrical Engineering Balochistan University of Information TechnologyEngineering and Management SciencesQuettaPakistan

This article presents a Sub-6 GHz microstrip patch antenna(MPA)with enhanced gain using metamaterial(MTM)*** source MPA operates at 4.8 GHz and has a peak gain of 5.3 dBi at the resonance frequency.A window-shaped unit cell is designed and investigated through the material wave propagation *** unit cell shows an EpsilonNear Zero(ENZ)-Mu Very Large(MVL)behavior around 4.8 *** unit cell has a fourfold geometry which makes it a polarization independent metamaterial.A double layer antenna is designed by placing a 4×4 MTM slab as a superstrate above the MPA at a height of 0.208λ0;whereλ0 is the free-space wavelength at the resonance frequency of the *** matching and gain of the source antenna is improved using the *** simulation as well as measurement results show that novel antenna system has a peak gain of 7.68 dBi at 4.8 GHz and an impedance bandwidth of 0.22 *** overall dimension of the antenna is 75×60×15 mm^(3).The proposed antenna operates in the Sub-6 GHz band and is suitable for 5G applications.

关键词： Metasurface 5G gain directivity polarization

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Dengue virus infection:A review of advances in the emerging rapid detection methods

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BIOCELL 2022年第1期46卷 61-74页

作者： mubashir HUSSAIN ZEESHAN ALI BIN LIU JIANGUO DAI XIAOLONG LIU JUNCHEN ZHU YONGJUN TANG Postdoctoral Innovation Practice Shenzhen PolytechnicShenzhen518055China Key Laboratory of Clinical and Medical Engineering Department of Biomedical EngineeringSchool of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjing211166China

Dengue virus infections are increasing worldwide generally and in Asia,Central and South America and Africa,*** poses a serious threat to the children *** rapid and accurate diagnostic systems are essentially required due to lack of effective vaccine against dengue virus and the progressive spread of the dengue virus *** recent progress in developing micro-and nano-fabrication techniques has led to low cost and scale down the biomedical point-of-care *** from the conventional and modern available methods for the diagnosis of dengue infection,this review examines several emerging rapid and point-of-care diagnostic devices that hold significant potential for the progress in smart diagnosis *** given review revealed that an effective vaccine is required urgently against all the dengue virus ***,the rapid detection methods of dengue virus help in early treatment and significantly reduce the dengue virus outbreak.

关键词： Dengue virus Rapid detection methods Electrochemical methods

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