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Blood compatible heteratom-doped carbon dots for bio-imaging of human umbilical vein endothelial cells

Chinese Chemical Letters 2020年第3期31卷 769-773页

作者： Jian Zhong Xinmian Chen Miaoran Zhang Chaoxin Xiao Lulu Cai waleed ali khan Kaixuan Yu Jiayi Cui Lin He Personalized Drug Therapy Key Laboratory of Sichuan Province Department of PharmacySichuan Provincial People's HospitalSchool of MedicineUniversity of Electronic Science and Technology of ChinaChengdu 610072China State Key Laboratory of Heavy Oil Processing Beijing Key Laboratory of Biogas Upgrading UtilizationCollege of New Energy and MaterialsChina University of Petroleum(Beijing)Beijing 102249China State Key Laboratory of Biotherapy and Cancer West China HospitalSichuan University and Collaborative Innovation CenterChengdu 610041China

Carbon dots have unique advantages in biological applications owing to their excellent optical prope ***,the biosafety evaluation of carbon dots has limitations owing to cytotoxicity in vitro,and the re is little pre-safety evaluation before in vivo and clinical *** the carbon dots are or not suitable for applications in vivo,evaluation analysis can be made based on hemolysis and changes in erythrocyte *** this work,a green fluorescent N,S-doped carbon dots(N,S-CDs)were obtained by hydrothermal method,tobias acid,and m-phenylenediamine as precursors.N,S-CDs not only possessed excellent dispersibility,uniform particle size,high quantum yield(37.2%)and stable photoluminescence property but also retain their photostability and stro ng fluorescence intensity in the acid/alkaline solutions,different ionic strengths(NaCl)and under 365 nm UV *** r,the N,S-CDs displayed low cytotoxicity and high cellular uptake efficiency in human umbilical vein endothelial cells(HUVEC)and excellent blood compatibility to the *** is foreseeable that N,S-CDs could be further studied as a promising biological imaging agent in vivo.

关键词： Carbon dots Fluorescent Cell imaging Erythrocyte Blood compatibility

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Effect of dilute acid treatment on adhesion properties of Longmaxi black shale

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Petroleum Science 2019年第6期16卷 1320-1331页

作者： Pan-Pan Zhang Shou-Ceng Tian Mao Sheng Tian-Yu Wang waleed ali khan Quan Xu Li-Zhi Xiao State Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum(Beijing)Beijing 102249China Harvard SEAS-CUPB Joint Laboratory on Petroleum Science 29 Oxford StreetCambridgeMA 02138USA

Properties of shale in an acid environment are important when acid or CO2 is injected into geologic formations as a working fluid for enhanced oil and gas recovery,hydraulic fracturing and reduced fracture initiation *** has previously been shown that acid fluids can enhance the formation conductivity and decrease the hardness of ***,less is known about the effect of dilute acid on the adhesion properties of *** the study,shale samples are characterized in detail with advanced *** properties of shale via dilute acid treatment were revealed by atomic force microscopy(AFM)for the first *** indicate that acid treatment can greatly enhance adhesion forces of the shale *** acid treatment,the average adhesion forces show a platform-like growth with an increase in loading *** analysis of results from AFM,scanning electron microscopy,and X-ray diffraction,we affirm that the enhanced adhesion forces are mainly from increased specific surface area and reduced elastic *** results presented in this work help understand the adhesion properties of shale oil/gas present in an acidic environment,which have great significance in unconventional resources development.

关键词： Shale Acid Carbonates Atomic force microscope Adhesion force

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Micro-fracturing Mechanisms Induced by Fluid Dissolution in Clay and Carbonate Rich Shales

Micro-fracturing Mechanisms Induced by Fluid Dissolution in ...

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作者： khan waleed ali 中国石油大学(北京)

学位级别：硕士

The utilization of acid has been approved as a potential approach to enhance Stimulated Reservoir Volume（SRV）by creating secondary pores and microfractures in shale *** paper proposed an acid soaking technique,spontaneous imbibition,core-flooding,and PFC2D modeling techniques to quantify the generation of microfracturing *** types of core samples from distinct shale depositional environments,namely Longmaxi carbonate-rich,and Yanchang clay-rich shale were *** acid（15%+3%KCL）was utilized to treat the shale samples for a period of 2 hours for acid *** acid（5%+2.5%KCL）,distilled water,and salt solution（Na

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Sparse Crowd Flow Analysis of Tawaaf of Kaaba During the COVID-19 Pandemic

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Computers, Materials & Continua 2022年第6期71卷 5581-5601页

作者： Durr-e-Nayab ali Mustafa Qamar Rehan Ullah khan waleed Albattah Khalil khan Shabana Habib Muhammad Islam Department of Computer Systems Engineering University of Engineering and TechnologyPeshawarPakistan Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Information Technology and Computer Science Pak-Austria FachhochschuleInstitute of Applied Sciences and TechnologyHaripurPakistan Department of Electrical Engineering College of Engineering and Information TechnologyOnaizah CollegesAl-QassimSaudi Arabia

The advent of the COVID-19 pandemic has adversely affected the entire world and has put forth high demand for techniques that remotely manage crowd-related *** surveillance and crowd management using video analysis techniques have significantly impacted today’s research,and numerous applications have been developed in this *** research proposed an anomaly detection technique applied to Umrah videos in Kaaba during the COVID-19 pandemic through sparse crowd *** theKaaba rituals is crucial since the crowd gathers from around the world and requires proper analysis during these days of the *** Umrah videos are analyzed,and a system is devised that can track and monitor the crowd flow in *** crowd in these videos is sparse due to the pandemic,and we have developed a technique to track the maximum crowd flow and detect any object(person)moving in the direction unlikely of the major *** have detected abnormal movement by creating the histograms for the vertical and horizontal flows and applying thresholds to identify the non-majority *** algorithm aims to analyze the crowd through video surveillance and timely detect any abnormal activity tomaintain a smooth crowd flowinKaaba during the pandemic.

关键词： Computer vision COVID sparse crowd crowd analysis flow analysis sparse crowd management tawaaf video analysis video processing

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Prediction Models for COVID-19 Integrating Age Groups, Gender, and Underlying Conditions

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Computers, Materials & Continua 2021年第6期67卷 3009-3044页

作者： Imran Ashraf waleed SAlnumay Rashid ali Soojung Hur ali Kashif Bashir Yousaf Bin Zikria Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-si38541Korea Department of Computer Science King Saud UniversityRiyadhSaudi Arabia School of Intelligent Mechatronics Engineering Sejong UniversityKorea Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUnited Kingdom

The COVID-19 pandemic has caused hundreds of thousands of deaths,millions of infections worldwide,and the loss of trillions of dollars for many large *** poses a grave threat to the human population with an excessive number of patients constituting an unprecedented challenge with which health systems have to *** from many domains have devised diverse approaches for the timely diagnosis of COVID-19 to facilitate medical *** the same vein,a wide variety of research studies have investigated underlying medical conditions for indicators suggesting the severity and mortality of,and role of age groups and gender on,the probability of COVID-19 *** study aimed to review,analyze,and critically appraise published works that report on various factors to explain their relationship with *** studies span a wide range,including descriptive analyses,ratio analyses,cohort,prospective and retrospective *** studies that describe indicators to determine the probability of infection among the general population,as well as the risk factors associated with severe illness and mortality,are critically analyzed and these ndings are discussed in detail.A comprehensive analysis was conducted on research studies that investigated the perceived differences in vulnerability of different age groups and genders to severe outcomes of *** incorporating important demographic,health,and socioeconomic characteristics are highlighted to emphasize their ***,the lack of an appropriated dataset that contains demographic,personal health,and socioeconomic information implicates the efcacy and efciency of the discussed *** are overstated on the part of both exclusion of quarantined and patients with mild symptoms and inclusion of the data from hospitals where the majority of the cases are potentially ill.

关键词： COVID-19 age&gender vulnerability for COVID-19 machine learning-based prognosis COVID-19 vulnerability psychological factors prediction of COVID-19

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A Deep Learning Approach for Crowd Counting in Highly Congested Scene

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Computers, Materials & Continua 2022年第12期73卷 5825-5844页

作者： Akbar khan Kushsairy Abdul Kadir Jawad ali Shah waleed Albattah Muhammad Saeed Haidawati Nasir Megat Norulazmi Megat Mohamed Noor Muhammad Haris Kaka Khel Electrical Section Universiti Kuala Lumpur British Malaysian InstituteSelangor53100Malaysia Department of Electrical Engineering International Islamic UniversityIslamabad44000Pakistan Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Electrical Engineering National University of Computer and Emerging SciencesIslamabad44000Pakistan Computer Engineering Technology Section Universiti Kuala Lumpur Malaysian Institute of Information TechnologyKuala Lumpur50250Malaysia

With the rapid progress of deep convolutional neural networks,several applications of crowd counting have been proposed and explored in the *** congested scene monitoring,a variety of crowd density estimating approaches has been *** understanding of highly congested scenes for crowd counting during Muslim gatherings of Hajj and Umrah is a challenging task,as a large number of individuals stand nearby and,it is hard for detection techniques to recognize them,as the crowd can vary from low density to high *** deal with such highly congested scenes,we have proposed the Congested Scene Crowd Counting Network(CSCC-Net)using VGG-16 as a core network with its first ten layers due to its strong and robust transfer learning rate.A hole dilated convolutional neural network is used at the back end to widen the relevant field to extract a large range of information from the image without losing its original *** dilated convolution neural network is mainly chosen to expand the kernel size without changing other ***,several loss functions have been applied to strengthen the evaluation accuracy of the ***,the entire experiments have been evaluated using prominent data sets namely,ShanghaiTech parts A,B,UCF_CC_50,and UCF_*** model has achieved remarkable results i.e.,68.0 and 9.0 MAE on ShanghaiTech parts A,B,199.1 MAE on UCF_CC_50,and 99.8 on UCF_QNRF data sets respectively.

关键词： Deep learning congested scene crowd counting fully convolutional neural network dilated convolution

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Multidrug resistance Acinetobacter species at the intensive care unit,Aseer Central Hospital,Saudi Arabia:A one year analysis

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Asian Pacific Journal of Tropical Medicine 2016年第9期9卷 881-885页

作者： ali Al Bshabshe Martin R.P.Joseph ali Al Hussein waleed Haimour Mohamed E.Hamid Department of Medicine College of MedicineKing Khalid University Department of Microbiology College of MedicineKing Khalid University Intensive Care Unit Aseer Central Hospital Microbiology Laboratories Aseer Central Hospital

Objective:To identify and to determine the antimicrobial susceptibility of Acinetobacter baumannii(***) clinical isolates from ICU at Aseer Central ***:The study was conducted in the Intensive Care Unit,Aseer Central Hospital,Saudi Arabia over 13 months period(2014-2015).Acinetobacter species(n= 105) were isolated from various clinical *** were identified using selected phenotypic criteria and confirmed using the Vitek 2 automated *** system was used to determine the susceptibilities of 21 antimicrobial ***,isolates and drug data were analyzed using the SPSS statistical software package to determine some epidemiological and microbiological ***:Of the 105 stains,*** accounted for 49(46.67%),*** complex,19(18.09%),***/haemolyticus 32(30.47),Acinetobacter haemolyticus 4(3.81%),Acinetobater lwoffii 1(0.95%) and unidentified Acinetobater species 2(1.3%).Of the 105 Acinetobacter strains,103(98.1%) were found multidrug resistant(MDR).*** strain were 100% sensitive to colistin and 74.5% to trimethoprim + *** remaining 19 antimicrobial agents revealed low or no sensitivities:amikacin 16.3%; ampicillin 7.7%; ceftazidime 7.3%.Distribution of similar sensitivities was shown by other Acinetobacter *** number of isolates from males and females indicates no statistical variation(P=0.867) whereas age groups showed significant differences(P= 0.008) as it is clear from the high percentage of infected individuals more than 60 years followed by those aged 20 to 29 years old(19.05%).Upper respiratory tract(30.48%),lower respiratory tract(47.65%) and subcutaneous tissue(9.5%) were the main sources of Acinetobacter *** mean numbers of isolates from these specimens indicate no discrepancy between specimens(P=0.731).Conclusions:Acinetobacterspecies including *** were found MDR(98.1%) according to the current Acinetobacter *** categorization.A

关键词： Acinetobacter spp. ICU Antimicrobials Aseer Central Hospital

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Efficient Data Compression of ECG Signal Based on Modified Discrete Cosine Transform

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Computers, Materials & Continua 2022年第6期71卷 4391-4408页

作者： Ashraf Mohamed ali Hassan Mohammed S.Alzaidi Sherif S.M.Ghoneim waleed El Nahal Electronics and Communications Engineering Department Faculty of EngineeringSinai UniversityArishCO 45511Egypt Department of Electrical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia Faculty of Technology and Education Suez UniversitySuez43527Egypt Electronics and Communications Engineering Department Faculty of EngineeringMSA UniversityCO 12585Egypt

This paper introduced an efficient compression technique that uses the compressive sensing(CS)method to obtain and recover sparse electrocardiography(ECG)*** recovery of the signal can be achieved by using sampling rates lower than the Nyquist frequency.A novel analysis was proposed in this *** apply CS on ECG signal,the first step is to generate a sparse signal,which can be obtained using Modified Discrete Cosine Transform(MDCT)on the given *** transformation is a promising key for other transformations used in this search domain and can be considered as the main contribution of this paper.A small number of wavelet components can describe the ECG signal as related work to obtain a sparse *** technique for ECGsignal compression,which is a novel area of research,is *** signals are introduced randomly between any successive beats of the ***-BIH database can be represented as the experimental database in this domain of ***-BIH database consists of various ECG signals involving a patient and standard ECG *** can be considered as the simulation tool used in this *** proposed method’s uniqueness was inspired by the compression ratio(CR)and achieved by *** performance measurement of the recovered signal was done by calculating the percentage root mean difference(PRD),mean square error(MSE),and peak signal to noise ratio(PSNR)besides the calculation of ***,the simulation results indicated that this work is one of the most important works in ECG signal compression.

关键词： Compressive sensing sparse beats of hearts compression ratio percentage root mean difference

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Adaptive Fuzzy Logic Controller for Harmonics Mitigation Using Particle Swarm Optimization

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Computers, Materials & Continua 2022年第6期71卷 4275-4293页

作者： waleed Rafique Ayesha khan Ahmad Almogren Jehangir Arshad Adnan Yousaf Mujtaba Hussain Jaffery Ateeq Ur Rehman Muhammad Shafiq Department of Electrical&Computer Engineering COMSATS University Islamabad Lahore CampusLahore54000Pakistan Syed Babar ali School of Science and Engineering Lahore University of Management SciencesLahore54000Pakistan Department of Computer Science College of Computer and Information SciencesKing Saud UniversityRiyadh11633Saudi Arabia Department of Electrical Engineering Superior UniversityLahore54000Pakistan Department of Electrical Engineering Government College UniversityLahore54000Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

An excessive use of non-linear devices in industry results in current harmonics that degrades the power quality with an unfavorable effect on power system *** this research,a novel control techniquebased Hybrid-Active Power-Filter(HAPF)is implemented for reactive power compensation and harmonic current component for balanced load by improving the Power-Factor(PF)and Total–Hormonic Distortion(THD)and the performance of a *** work proposed a soft-computing technique based on Particle Swarm-Optimization(PSO)and Adaptive Fuzzy technique to avoid the phase delays caused by conventional control ***,the control algorithms are implemented for an instantaneous reactive and active current(Id-Iq)and power theory(Pq0)in *** prevent the degradation effect of disturbances on the system’s performance,PS0-PI is applied in the inner loop which generate a required dc ***,a comparative analysis of both techniques has been presented to evaluate and validate the performance under balanced load *** presented result concludes that the Adaptive Fuzzy PI controller performs better due to the non-linearity and robustness of the ***,the gains taken from a tuning of the PSO based PI controller optimized with Fuzzy Logic Controller(FLC)are optimal that will detect reactive power and harmonics much faster and *** proposed hybrid technique minimizes distortion by selecting appropriate switching pulses for VSI(Voltage Source Inverter),and thus the simulation has been taken in SIMULINK/*** proposed technique gives better tracking performance and robustness for reactive power compensation and harmonics *** a result of the comparison,it can be concluded that the PSO-basedAdaptive Fuzzy PI system produces accurate results with the lower THD and a power factor closer to unity than other techniques.

关键词： Harmonics compensation soft computing technique hybrid fuzzy PSO based PI controller HSAPF power quality

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Low salinity water-Surfactant-CO_(2) EOR

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Petroleum 2017年第3期3卷 309-320页

作者： Tadesse Weldu Teklu waleed Alameri Hossein Kazemi Ramona MGraves ali MAlSumaiti Colorado School of Mines USA The Petroleum Institute Abu DhabiUnited Arab Emirates

Coreflood,interfacial tension(IFT),contact angle,and phase behavior measurements were performed to investigate the viability of a hybrid of low-salinity water,surfactant,and CO_(2) flood enhanced oil recovery(EOR)***-permeability carbonate reservoir cores were aged for eight weeks at reservoir temperature and *** and contact angle between oil droplets and core surface measurements were *** contact angle measurements on sandstone and shale cores were also *** coreflood sequences were seawater flood,followed by low-salinity water flood,followed by surfactant floods until residual oil saturations to each flooding sequences and finally CO_(2) *** in low-permeability carbonate cores show that the hybrid EOR process produces incremental oil up to twenty-five percent beyond seawater *** angle measurements on carbonate,sandstone and shale cores indicate that wettability alteration and IFT decrease are the main oil-mobilizing mechanisms in the hybrid EOR *** hybrid EOR process mobilizes part of the residual oil because:(i)low-salinity brine improves wettability towards hydrophilic condition favorable for surfactant flooding;(ii)surfactant in lowsalinity water solubilizes some of the remaining oil as Winsor type IImicroemulsion and lowers IFT between oil and water;and(iii)CO_(2) will follow surfactant to mobilize more of the remaining oil in the wettability-improved condition.

关键词： Low-salinity water EOR Surfactant EOR CO_(2)EOR Hybrid LS-surfactant EOR Hybrid LS-gas/CO_(2)EOR Hybrid LS-surfactant-gas/CO_(2)EOR Wettability alteration Interfacial tension(IFT)

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