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Umbilical cord-derived mesenchymal stem cells preconditioned with isorhamnetin:potential therapy for burn wounds

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World Journal of Stem Cells 2020年第12期12卷 1652-1666页

作者： Shazmeen aslam irfan Khan Fatima Jameel Midhat Batool Zaidi Asmat Salim Stem Cell Laboratory Dr.Panjwani Center for Molecular Medicine and Drug ResearchInternational Center for Chemical and Biological SciencesUniversity of KarachiKarachi 74700SindhPakistan

BACKGROUND Impaired wound healing can be associated with different pathological *** wounds are the most common and detrimental injuries and remain a major health issue *** stem cells(MSCs)possess the ability to regenerate tissues by secreting factors involved in promoting cell migration,proliferation and differentiation,while suppressing immune *** of MSCs with small molecules having cytoprotective properties can enhance the potential of these cells for their use in cell-based *** To enhance the therapeutic potential of MSCs by preconditioning them with isorhamnetin for second degree burn wounds in *** Human umbilical cord MSCs(hU-MSCs)were isolated and characterized by surface markers,CD105,vimentin and *** preconditioning,hU-MSCs were treated with isorhamnetin after selection of the optimized concentration(5μmol/L)by cytotoxicity *** migration potential of these MSCs was analyzed by the in vitro scratch *** healing potential of normal,and preconditioned hU-MSCs was compared by transplanting these MSCs in a rat model of a second degree burn ***,and preconditioned MSCs(IH+MSCs)were transplanted after 72 h of burn injury and observed for 2 *** and gene expression analyses were performed on day 7 and 14 after cell transplantation to determine complete wound *** The scratch assay analysis showed a significant reduction in the scratch area in the case of IH+MSCs compared to the normal untreated MSCs at 24 h,while complete closure of the scratch area was observed at 48 *** analysis showed reduced inflammation,completely remodeled epidermis and dermis without scar formation and regeneration of hair follicles in the group that received IH+*** expression analysis was time dependent and more pronounced in the case of IH+***(IL)-1β,IL-6 and Bcl-2 associated X genes showed significant downregulation,while transforming growth f

关键词： Burn wound Isorhamnetin Mesenchymal stem cells Preconditioning Wound healing Small molecule

Click through Rate Effectiveness Prediction on Mobile Ads Using Extreme Gradient Boosting

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Computers, Materials & Continua 2021年第2期66卷 1681-1696页

作者： AlAli Moneera AlQahtani Maram AlJuried Azizah Taghareed AlOnizan Dalia Alboqaytah Nida aslam irfan Ullah Khan College of Computer Science and Information Technology Imam Abdulrahman bin Faisal UniversityDammam34221Saudi Arabia

Online advertisements have a significant influence over the success or failure of your ***,it is important to somehow measure the impact of your advertisement before uploading it online,and this is can be done by calculating the Click Through Rate(CTR).Unfortunately,this method is not eco-friendly,since you have to gather the clicks from users then compute the *** is where CTR prediction come in *** CTR prediction relies on the users’log regarding click information *** prediction of CTR is a challenging and critical process for e-advertising platforms these *** prediction uses machine learning techniques to determine how much the online advertisement has been clicked by a potential client:The more clicks,the more successful the ad *** this study we develop a machine learning based click through rate prediction *** proposed study defines a model that generates accurate results with low computational power *** used four classification techniques,namely K Nearest Neighbor(KNN),Logistic Regression,Random Forest,and Extreme Gradient Boosting(XGBoost).The study was performed on the Click-Through Rate Prediction Competition *** is a click-through data that is ordered chronologically and was collected over 10 *** results reveal that XGBoost produced ROC-AUC of 0.76 with reduced number of features.

关键词： Advertisement XGBoost random forest K-nearest-neighbor logistic regression click through rate

An Automated and Real-time Approach of Depression Detection from Facial Micro-expressions

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Computers, Materials & Continua 2022年第11期73卷 2513-2528页

作者： Ghulam Gilanie Mahmood ul Hassan Mutyyba Asghar Ali Mustafa Qamar Hafeez Ullah Rehan Ullah Khan Nida aslam irfan Ullah Khan Department of Artificial Intelligence Faculty of ComputingThe Islamia University of BahawalpurPakistan Department of Computer Skills Deanship of Preparatory YearNajran UniversityNajranSaudi Arabia Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Biophotonics Imaging Techniques Laboratory Institute of PhysicsThe Islamia University of BahawalpurPakistan Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia

Depression is a mental psychological disorder that may cause a physical disorder or lead to *** is highly impactful on the socialeconomical life of a person;therefore,its effective and timely detection is *** speech and gait,facial expressions have valuable clues to *** study proposes a depression detection system based on facial expression *** features have been used for depression detection using Support Vector Machine(SVM)and Convolutional Neural Network(CNN).We extracted micro-expressions using Facial Action Coding System(FACS)as Action Units(AUs)correlated with the sad,disgust,and contempt features for depression detection.A CNN-based model is also proposed in this study to auto classify depressed subjects from images or videos in *** have been performed on the dataset obtained from Bahawal Victoria Hospital,Bahawalpur,Pakistan,as per the patient health questionnaire depression scale(PHQ-8);for inferring the mental condition of a *** experiments revealed 99.9%validation accuracy on the proposed CNN model,while extracted features obtained 100%accuracy on ***,the results proved the superiority of the reported approach over state-of-the-art methods.

关键词： Depression detection facial micro-expressions facial landmarked images

Explainable Classification Model for Android Malware Analysis Using API and Permission-Based Features

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Computers, Materials & Continua 2023年第9期76卷 3167-3188页

作者： Nida aslam irfan Ullah Khan Salma Abdulrahman Bader Aisha Alansari Lama Abdullah Alaqeel Razan Mohammed Khormy Zahra Abdultawab AlKubaish Tariq Hussain SAUDI ARAMCO Cybersecurity Chair Department of Computer ScienceCollege of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Computer Engineering Department College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia School of Computer Science and Technology Zhejiang Gongshang UniversityHangzhouChina

One of the most widely used smartphone operating systems,Android,is vulnerable to cutting-edge malware that employs sophisticated *** malware attacks could lead to the execution of unauthorized acts on the victims’devices,stealing personal information and causing hardware *** previous studies,machine learning(ML)has shown its efficacy in detecting malware events and classifying their ***,attackers are continuously developing more sophisticated methods to bypass ***,up-to-date datasets must be utilized to implement proactive models for detecting malware events in Android mobile ***,this study employed ML algorithms to classify Android applications into malware or goodware using permission and application programming interface(API)-based features from a recent *** overcome the dataset imbalance issue,RandomOverSampler,synthetic minority oversampling with tomek links(SMOTETomek),and RandomUnderSampler were applied to the Dataset in different *** results indicated that the extra tree(ET)classifier achieved the highest accuracy of 99.53%within an elapsed time of 0.0198 s in the experiment that utilized the RandomOverSampler ***,the explainable Artificial Intelligence(EAI)technique has been applied to add transparency to the high-performance ET *** global explanation using the Shapely values indicated that the top three features contributing to the goodware class are:Ljava/net/URL;->openConnection,Landroid/location/LocationManager;->getLastKgoodwarewnLocation,and *** the other hand,the top three features contributing to themalware class are Receive_Boot_Completed,Get_Tasks,and Kill_Background_*** is believed that the proposedmodel can contribute to proactively detectingmalware events in Android devices to reduce the number of victims and increase users’trust.

关键词： Android malware machine learning malware detection explainable artificial intelligence cyber security

Accretion onto the Magnetically Charged Regular Black Hole

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Chinese Physics Letters 2017年第7期34卷 38-40页

作者： M.Azam A.aslam Division of Science and Technology University of Education Lahore 54590 Pakistan

We investigate the accretion process for static spherically symmetric geometry, i.e., magnetically charged regular black hole with isotropic fluid. W＇e obtain generalized expressions for the velocity （u（r））, speed of sound （cs2）, energy density （ρ（r）） and accretion rate （M） at the critical point near the regular black hole during the accretion process. We also plot these physical parameters against fixed values of charge, mass and different values of equation of state parameter to study the process of accretion. We find that radial velocity and energy density of the fluid remain positive and negative as well as rate of change of mass is increased and decreased for dust, stiff, quintessence fluid and phantom-like fluid, respectively.

关键词： Accretion onto the Magnetically Charged Regular Black Hole

B→0^+(1^+)+ missing energy in unparticle physics

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Chinese Physics C 2009年第5期33卷 332-339页

作者： M.Jamil aslam 吕才典 Institute of High Energy Physics CAS Department of Physics COMSATS Institute of Information Technology School of Physics and Technology Nanjing Normal University

We examine the effects of an unparticle U as a possible source of missing energy in the p-wave decays of a B meson. The dependence of the differential branching ratio on the K0^＊（K1） - meson＇s energy is discussed in the presence of scalar and vector unparticle operators and significant deviation from the standard model value is found after addition of these operators. Finally, we have shown the dependence of the branching ratio for the above-mentioned decays on the parameters of unparticle stuff like effective couplings, cutoff scale Au and the scale dimensions du.

关键词： unparticle missing energy B physics

A Novel Energy and Communication Aware Scheduling on Green Cloud Computing

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Computers, Materials & Continua 2023年第12期77卷 2791-2811页

作者： Laila Almutairi Shabnam Mohamed aslam Department of Computer Engineering Computer Science and Information Technology CollegeMajmaah UniversityAl Majmaah11952Saudi Arabia Department of Information Technology Computer Science and Information Technology CollegeMajmaah UniversityAl Majmaah11952Saudi Arabia

The rapid growth of service-oriented and cloud computing has created large-scale data centres *** data centres’operating costs mostly come from back-end cloud infrastructure and energy *** cloud computing,extensive communication resources are ***,cloud applications require more bandwidth to transfer large amounts of data to satisfy end-user *** is also essential that no communication source can cause congestion or bag loss owing to unnecessary switching *** paper proposes a novel Energy and Communication(EC)aware scheduling(EC-scheduler)algorithm for green cloud computing,which optimizes data centre energy consumption and traffic *** primary goal of the proposed EC-scheduler is to assign user applications to cloud data centre resources with minimal utilization of data *** first introduce a Multi-Objective Leader Salp Swarm(MLSS)algorithm for task sorting,which ensures traffic load balancing,and then an Emotional Artificial Neural Network(EANN)for efficient resource ***-scheduler schedules cloud user requirements to the cloud server by optimizing both energy and communication delay,which supports the lower emission of carbon dioxide by the cloud server system,enabling a green,unalloyed *** tested the proposed plan and existing cloud scheduling methods using the GreenCloud simulator to analyze the efficiency of optimizing data centre energy and other scheduler *** EC-scheduler parameters Power Usage Effectiveness(PUE),Data Centre Energy Productivity(DCEP),Throughput,Average Execution Time(AET),Energy Consumption,and Makespan showed up to 26.738%,37.59%,50%,4.34%,34.2%,and 33.54%higher efficiency,respectively,than existing state of the art schedulers concerning number of user applications and number of user requests.

关键词： EC-scheduler green cloud energy efficiency task scheduling task sorting resource allocation

A high-precision heuristic model to detect home and work locations from smart card data

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Geo-Spatial Information Science 2019年第1期22卷 1-11页

作者： Nilufer Sari aslam Tao Cheng James Cheshire SpaceTimeLab Department of CivilEnvironmental and Geomatic EngineeringUniversity College LondonLondonUK Department of Geography University College LondonLondonUK

Smart card-automated fare collection systems now routinely record large volumes of data comprising the origins and destinations of *** and analyzing these data open new opportunities in urban modeling and travel behavior *** study seeks to develop an accurate framework for the study of urban mobility from smart card data by developing a heuristic primary location model to identify the home and work *** model uses journey counts as an indicator of usage regularity,visit-frequency to identify activity locations for regular commuters,and stay-time for the classification of work and home locations and *** is taken as a case study,and the model results were validated against survey data from the London Travel Demand Survey and volunteer *** demonstrate that the proposed model is able to detect meaningful home and work places with high *** study offers a new and cost-effective approach to travel behavior and demand research.

关键词： Smart card data activity location modeling heuristic primary location model home and work locations human mobility pattern urban activity pattern

Synthesis and Characterization of Alkaline-Earth Metal (Ca, Sr, and Ba) Doped Nanodimensional LaMnO_(3) Rare-Earth Manganites

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Chinese Physics Letters 2013年第7期30卷 217-220页

作者： Asma Khalid Saadat Anwar Siddiqi Affia aslam School of Physics University of MelbourneParkville VIC 3010Australia Interdisciplinary Research Centre in Biomedical Materials COMSATS Institute of Information TechnologyDefence RoadOff Raiwind RoadLahore-54700Pakistan Department of Physics University of HailHail-30055Saudi Arabia

The substitution of divalent cations of alkaline-earth elements in nanodimensional structures of rare-earth manganites produces advanced materials with potential electrical and magnetic functionalities.A systematic investigation of La_(0.65)A_(0.35)MnO_(3)(A=Ca,Sr,Ba)materials synthesized with a modified citrate route adopting ethanol dehydration has been *** structural and morphological analyses are carried out by using x-ray diffraction and scanning electron microscopy,*** measurements are performed in variation with temperature to study the electrical transport properties which are found to vary with the size of the A-site cationic *** temperature magnetic measurements are carried out to investigate the type of magnetic phase present in *** stability of the magnetic phase and coercivity are found to be dependent on the size of nanocrystallites.

关键词： materials. earth dimensional