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Negotiating a new chair package:context and considerations

Family Medicine and Community Health 2023年第1期11卷 26-32页

作者： Amanda Weidner Samantha Elwood Richelle Koopman Julie Phillips David Schmitz Li Li A Peter Catinella Jehni Robinson Nahid Rianon C J Peek irfan asif Family Medicine University of WashingtonSeattleWashingtonUSA Association of Departments of Family Medicine LeawoodKansasUSA Family Medicine Oregon Health&Science UniversityPortlandOregonUSA Family and Community Medicine University of Missouri School of MedicineColumbiaMissouriUSA Family Medicine Michigan State UniversityEast LansingMichiganUSA Family and Community Medicine University of North Dakota School of Medicine and Health SciencesGrand ForksNorth DakotaUSA Family Medicine University of Virginia School of MedicineCharlottesvilleVirginiaUSA Family Medicine Texas Tech University TransmountainEl PasoTexasUSA Family&Community Medicine Texas Tech University Health Sciences Center El PasoPaul L.Foster School of MedicineEl PasoTexasUSA Family Medicine University of Southern California Keck School of MedicineLos AngelesCaliforniaUSA Family and Community Medicine The University of Texas Health Science Center at Houston John P and Katherine G McGovern Medical SchoolHoustonTexasUSA Family Medicine and Community Health University of Minnesota Medical SchoolMinneapolisMinnesotaUSA Family and Community Medicine The University of Alabama at Birmingham Heersink School of MedicineBirminghamAlabamaUSA

Negotiating a resource package as a potential new department chair is common practice in academic *** foundations for this negotiation include the historical presence of the department in relation to the broader institution,projections for future growth,accounting for mission/vision,resource needs(space,personnel,finances,etc),faculty and staff development,and external partnerships within and outside the *** similarities in this process across departments,many nuances influence the development of a specific new chair package,such as,department size;desires,perspectives and talents of the incoming chair,the department faculty,the medical school and dean;prevailing agendas and mission imperatives;and the overall priorities of the *** strategy and forethought,a new chair package can promote a successful chair tenure and departmental *** through the Association of Departments of Family Medicine with input from several dozen department chairs and senior leaders,this is intended to serve as a practical guide to new chair packages for chair candidates.

关键词： finance prevailing outside

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Machine Learning for Organic Photovoltaic Polymers:A Minireview

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Chinese Journal of Polymer Science 2022年第8期40卷 870-876,I0006页

作者： asif Mahmood Ahmad irfan Jin-Liang Wang Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering in Ministry of Industry and Information TechnologySchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyKey Laboratory of Cluster Science of Ministry of EducationBeijing100081China Department of Chemistry College of ScienceKing Khalid UniversityAbha61413Saudi Arabia

Machine learning is a powerful tool that can provide a way to revolutionize the material *** use for the designing and screening of materials for polymer solar cells is also *** of efficient polymeric materials for solar cells is really difficult *** have synthesized and fabricated so many *** the results and get feedback for further research requires an innovative *** this minireview,we provides brief introduction of machine *** importance of machine learning is also mentioned,and the application of machine learning for polymeric material design is *** key challenges that are hindering the wide spread use of machine are *** are also given to improve the use of data *** predictions using machine learning maybe not highly accurate but it definitely better than no prediction at all.

关键词： Machine learning Polymer solar cells Data science Descriptors Polymers

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Quintessence anisotropic stellar models in quadratic and Born-Infeld modified teleparallel Rastall gravity

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Chinese Physics B 2024年第3期33卷 179-189页

作者： Allah Ditta 夏铁成 irfan Mahmood asif Mahmood Department of Mathematics Shanghai University and Newtouch Center for Mathematics of Shanghai UniversityShanghai 200444China Centre for High Energy Physics University of the PunjabLahorePakistan College of Engineering Chemical Engineering DepartmentKing Saud University RiyadhSaudi Arabia

This study aims to discuss anisotropic solutions that are spherically symmetric in the quintessence field,which describe compact stellar objects in the modified Rastall teleparallel theory of *** achieve this goal,the Krori and Barua arrangement for spherically symmetric components of the line element is *** explore the field equations by selecting appropriate off-diagonal tetrad ***-Infeld function of torsion f(T)=β√λT+1-1 and power law form h(T)=δTn are *** Born-Infeld gravity was the first modified teleparallel gravity to discuss *** use the linear equation of state pr=ξρto separate the quintessence *** obtaining the field equations,we investigate different physical parameters that demonstrate the stability and physical acceptability of the stellar *** use observational data,such as the mass and radius of the compact star candidates PSRJ 1416-2230,Cen X-3,&4U 1820-30,to ensure the physical plausibility of our findings.

关键词： anisotropic spheres quintessence field modified Rastall teleparallel gravity equation of state(EoS) f(T)gravity

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An Intelligent Forwarding Strategy in SDN-Enabled Named-Data IoV

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Computers, Materials & Continua 2021年第12期69卷 2949-2966页

作者： Asadullah Tariq irfan ud din Rana asif Rehman Byung-Seo Kim Department of Computer Science The Superior UniversityLahore54000Pakistan National University of Computer and Emerging Sciences Chiniot-Faisalabad Campus35400Pakistan Department of Software and Communications Engineering Hongik UniversitySejong City30016Korea

Internet of Vehicles(IoV),a rapidly growing technology for efficient vehicular communication and it is shifting the trend of traditional Vehicular Ad Hoc Networking(VANET)towards *** centralized management of IoV endorses its uniqueness and suitability for the Intelligent Transportation System(ITS)safety *** Data Networking(NDN)is an emerging internet paradigm that fulfills most of the expectations of *** of the current IP internet architecture are the main motivation behind ***-Defined Networking(SDN)is another emerging networking paradigm of technology that is highly capable of efficient management of overall networks and transforming complex networking architectures into simple and manageable *** combination of the SDN controller,NDN,and IoV can be revolutionary in the overall performance of the *** storm,due to the broadcasting nature of NDN,is a critical issue in NDN based on *** speed and rapidly changing topology of vehicles in IoV creates disconnected link problem and add unnecessary transmission *** order to cop-up with the above-discussed problems,we proposed an efficient SDN-enabled forwarding mechanism in NDN-based IoV,which supports the mobility of the vehicle and explores the cellular network for the low latency control *** IoV environment,the concept of Edge Controller(EC)to maintain and manage the in-time and real-time vehicular topology is being introduced.A mathematical estimation model is also proposed in our work that assists the centralized EC and SDN to find not only the shortest and best path but also the most reliable and durable *** naming scheme and in-network caching property of the NDN nodes reduce the *** used ndnSIM and NS-3 for the simulation experiment along with SUMO for the environment *** results of NDSDoV illustrate significant performance in terms of availability with limited routing overhead,minimized delay,retransmissions,and in

关键词： Software-defined networking named-data networking internet of vehicles routing

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Cartesian Product Based Transfer Learning Implementation for Brain Tumor Classification

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Computers, Materials & Continua 2022年第11期73卷 4369-4392页

作者： irfan Ahmed Usmani Muhammad Tahir Qadri Razia Zia asif Aziz Farheen Saeed Electronic Engineering Department Sir Syed University of Engineering&TechnologyKarachi75300Pakistan Department of Computer Science Bahria University Karachi CampusKarachi75260Pakistan Christus Trinity Clinic TexasUSA

Knowledge-based transfer learning techniques have shown good performance for brain tumor classification,especially with small ***,to obtain an optimized model for targeted brain tumor classification,it is challenging to select a pre-trained deep learning(DL)model,optimal values of hyperparameters,and optimization algorithm(solver).This paper first presents a brief review of recent literature related to brain tumor ***,a robust framework for implementing the transfer learning technique is *** the proposed framework,a Cartesian product matrix is generated to determine the optimal values of the two important hyperparameters:batch size and learning *** extensive exercise consisting of 435 simulations for 11 state-of-the-art pre-trained DL models was performed using 16 paired hyperparameters from the Cartesian product matrix to input the model with the three most popular solvers(stochastic gradient descent with momentum(SGDM),adaptive moment estimation(ADAM),and root mean squared propagation(RMSProp)).The 16 pairs were formed using individual hyperparameter values taken from literature,which generally addressed only one hyperparameter for optimization,rather than making a grid for a particular *** proposed framework was assessed using a multi-class publicly available dataset consisting of glioma,meningioma,and pituitary *** assessment shows that ResNet18 outperforms all other models in terms of accuracy,precision,specificity,and recall(sensitivity).The results are also compared with existing state-of-the-art research work that used the same *** comparison was mainly based on performance metric“accuracy”with support of three other parameters“precision,”“recall,”and“specificity.”The comparison shows that the transfer learning technique,implemented through our proposed framework for brain tumor classification,outperformed all existing *** the best of our knowledge,the proposed framework is a

关键词： Deep transfer learning Cartesian product hyperparameter optimization magnetic resonance imaging(MRI) brain tumor classification

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A review of recent advancements in finite element formulation for sandwich plates

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Chinese Journal of Aeronautics 2019年第4期32卷 785-798页

作者： Shehzaib irfan Faisal SIDDIQUI Aerospace Engineering Department College of Aeronautical Engineering National University of Sciences and TechnologyRisalpur

Use of composite structures is exponentially growing in different fields due to their higher strength-to-weight ratio. This application trend requires that accurate theoretical explanations and their finite element models be developed for analyzing sandwich plates before finalizing the designs. This paper reviews the recent research trends of finite element formulations developed for analyzing sandwich plates. This paper reviews the finite element models developed after the year 2000. Initially, the finite element formulations based on first order shear deformation theory, higher order shear deformation theories, mixed solid-shell elements, zig-zag theories and global–local theories are presented. Then, some finite element formulations developed to analyze a very new class of structures called piezoelectric structures are presented. At the end, some formulations to analyze a very critical phenomenon called buckling are presented.

关键词： Buckling Finite element FSDT HSDT Laminated composites Piezoelectric Sandwich plates Zig-zag theory

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Feasibility-Guided Constraint-Handling Techniques for Engineering Optimization Problems

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Computers, Materials & Continua 2021年第6期67卷 2845-2862页

作者： Muhammad asif Jan Yasir Mahmood Hidayat Ullah Khan Wali Khan Mashwani Muhammad irfan Uddin Marwan Mahmoud Rashida Adeeb Khanum Ikramullah Noor Mast Institute of Numerical Sciences Kohat University of Science&TechnologyKohatPakistan Department of Economics Abbottabad University of Science&TechnologyAbbottabadPakistan Institute of Computing Kohat University of Science&TechnologyKohatPakistan Faculty of Applied Studies King Abdulaziz UniversityJeddahSaudi Arabia Jinnah College for Women University of PeshawarPeshawarPakistan Department of Physics Kohat University of Science&TechnologyKohatPakistan

The particle swarm optimization(PSO)algorithm is an established nature-inspired population-based meta-heuristic that replicates the synchronizing movements of birds and *** is essentially an unconstrained algorithm and requires constraint handling techniques(CHTs)to solve constrained optimization problems(COPs).For this purpose,we integrate two CHTs,the superiority of feasibility(SF)and the violation constraint-handling(VCH),with a *** CHTs distinguish feasible solutions from infeasible ***,in SF,the selection of infeasible solutions is based on their degree of constraint violations,whereas in VCH,the number of constraint violations by an infeasible solution is of more ***,a PSO is adapted for constrained optimization,yielding two constrained variants,denoted SF-PSO and *** SF-PSO and VCH-PSO are evaluated with respect to ve engineering problems:the Himmelblau’s nonlinear optimization,the welded beam design,the spring design,the pressure vessel design,and the three-bar truss *** simulation results show that both algorithms are consistent in terms of their solutions to these problems,including their different available *** of the SF-PSO and the VCHPSO with other existing algorithms on the tested problems shows that the proposed algorithms have lower computational cost in terms of the number of function evaluations *** also report our disagreement with some unjust comparisons made by other researchers regarding the tested problems and their different variants.

关键词： Constrained evolutionary optimization constraint handling techniques superiority of feasibility violation constraint-handling technique swarm based evolutionary algorithms particle swarm optimization engineering optimization proble

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Arabic Bank Check Processing: State of the Art

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Journal of Computer Science & Technology 2013年第2期28卷 285-299页

作者： irfan Ahmad Sabri A.Mahmoud Information and Computer Science Department King Fahd University of Petroleum & Minerals

In this paper, we present a general model for Arabic bank check processing indicating the major phases of a check processing system. We then survey the available databases for Arabic bank check processing research. The state of the art in the different phases of Arabic bank check processing is surveyed （i.e., pre-processing, check analysis and segmentation, features extraction, and legal and courtesy amounts recognition）. The open issues for future research are stated and areas that need improvements are presented. To the best of our knowledge, it is the first survey of Arabic bank check processing.

关键词： handwriting analysis document analysis text processing feature evaluation and selection pattern analysis

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Facile synthesis of ironenickelecobalt ternary oxide(FNCO)mesoporous nanowires as electrode material for supercapacitor application

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Journal of Materiomics 2022年第1期8卷 221-228页

作者： Muhammad Usman Muhammad Tayyab Ahsan Sofia Javed Zeeshan Ali Yiqiang Zhan irfan Ahmed Sajid Butt Mohammad Islam asif Mahmood M.Aftab Akram School of Chemical and Materials Engineering National University of Sciences and Technology(NUST)Sector H-12Islamabad44000Pakistan Department of Materials Science and Engineering College of EngineeringPeking University100871BeijingChina State Key Laboratory of ASIC and System Center of Micro-Nano SystemSISTFudan UniversityShanghai200433China Department of Materials Science and Engineering Institute of Space TechnologyIslamabad44000Pakistan New Mexcico Institute of Mining&Technology SocorroNM 87801USA School of Chemical and Biomolecular Engineering The University of Sydney2006SydneyAustralia

Transition Metal Oxides have drawn significant attention due to their reversible chemical redox reaction and long-life *** agglomeration and shrinkage/expansion of transition metal oxides in the nanosize regime have a noticeable effect on their electrochemical *** in this work,mesoporous nanowires(NWs)with a typical composition of iron-nickel-cobalt ternary oxide(FNCO)are synthesized using a simple,facile and cost-effective hydrothermal process followed by furnace *** NWs are then extensively investigated as an electrode material for supercapacitor *** compare the electrochemical properties,nanowires of nickel-cobalt oxide(NCO),iron-cobalt oxide(FCO)and cobalt oxide(CO)were also produced by following the same *** FNCO NWs are found to overcome the shortcomings in the electrochemical energy storage devices by exhibiting higher values of specific capacitance(2197 Fg^(-1))and energy density(109 Whkg^(-1))at 1 Ag^(-1) current ***,the FNCO NWs also showed a cyclic charge/discharge stability of 96%even up to 20,000 ***,a FNCO//graphene asymmetric device,fabricated with FNCO NWs and graphene as positive and negative electrodes,respectively,which exhibit high energy density(47 Whkg^(-1)),power density(375 Wkg^(-1))and excellent capacitance retention(86%)after 15,000 cycles.

关键词： Electrochemistry Hydrothermal synthesis Nanowires Supercapacitor Transition metal oxides

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Evaluation of the adsorption potential of titanium dioxide nanoparticles for arsenic removal

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Journal of Environmental Sciences 2009年第3期21卷 402-408页

作者： NABI Deedar ASLAM irfan QAZI Ishtiaq A Institute of Environmental Science and Engineering National University of Sciences and Technology Rawalpindi 46000 Pakistan

The adsorption potential of titanium dioxide （TiO2） nanoparticles for removing arsenic from drinking water was evaluated. Pure and iron-doped TiO2 particles are synthesized via sol-gel method. The synthesized TiO2 nanoparticles were then immobilized on ordinary sand for adsorption studies. Adsorption isotherms were conducted on the synthesized nanoparticles as well as the sand coated with TiO2 nanoparticles under varying conditions of air and light, namely, the air-sunlight （A-SL）, air-light （AL）, air-dark （AD） and nitrogen-dark （ND）. X-ray diffraction （XRD） analysis showed that the pure and iron-doped TiO2 nanoparticles were in 100% anatase crystalline phase with crystai sizes of 108 and 65 nm, respectively. Adsorption of arsenic on the three adsorbents was non-linear that could be described by the Freundlich and Langmuir adsorption models. Iron doping enhanced the adsorption capacity of TiO2 nanoparticles by arresting the grain growth and making it visible light responsive resulting in a higher affinity for arsenic. Similarly, the arsenic removal by adsorption on the sand coated with TiO2 nanoparticles was the highest among the three types of sand used. In all cases, As（V） was adsorbed more compared with As（Ⅲ）. The solution pH appeared to be the most important factor in controlling the amount of arsenic adsorbed.

关键词： arsenic removal titanium dioxide nanoparticles adsorption isotherm immobilization of nanoparticles on sand

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