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Simulating Transport Capacity, Delivery Speed, and Routing Efficiency to Predict Economic Growth

Intelligent Information Management 2023年第4期15卷 306-337页

作者： najam khan Huitian Lu Ag Biosystems and Mechanical Engineering (Ph.D.) South Dakota State University Brookings SD USA Industrial Engineering (Ph.D.) Professor (Construction & Operations Mgmt.) South Dakota State University Brookings SD USA

This study uses a simulation-based approach to investigate the impact of delivery delays due to constraints on transport capacity, transit speed, and routing efficiencies on an economy with various levels of interdependency among firms. The simulation uses object-oriented programming to create specialized production, consumption, and transportation classes. A set of objects from each class is distributed randomly on a 2D plane. A road network is then established between fixed objects using Prim’s MST (Minimum Spanning Tree) algorithm, followed by construction of an all-pair shortest path matrix using the Floyd Warshall algorithm. A genetic algorithm-based vehicle routing problem solver employs the all-pair shortest path matrix to best plan multiple pickup and delivery orders. Production units utilize economic order quantities (EOQ) and reorder points (ROP) to manage inventory levels. Hicksian and Marshallian demand functions are utilized by consumption units to maximize personal utility. The transport capacity, transit speed, routing efficiency, and level of interdependence serve as 4 factors in the simulation, each assigned 3 distinct levels. Federov’s exchange algorithm is used to generate an orthogonal array to reduce the number of combination replays from 34 to just 9. The simulation results of a 9-run orthogonal array on an economy with 6 mining facilities, 12 industries, 8 market centers, and 8 transport hubs show that the level of firm interdependence, followed by transit speed, has the most significant impact on economic productivity. The principal component analysis (PCA) indicates that interdependence and transit speed can explain 90.27% of the variance in the data. According to the findings of this research, a dependable and efficient regional transportation network among various types of industries is critical for regional economic development.

关键词： Vehicle Routing Problem Minimum Spanning Tree Trucks Road Networks Production Functions Modelling of Transport Systems

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Location Optimization of a Coal Power Plant to Balance Costs against Plant’s Emission Exposure

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American Journal of Operations Research 2019年第1期9卷 31-58页

作者： najam khan Ekaterina Koromyslova Department of Project Management and Operations Research CSW Olympia WA USA Department of Construction and Operations Management South Dakota State University Brookings SD USA

The goal of the research is to develop a methodology to minimize the public’s exposure to harmful emissions from coal power plants while maintaining minimal operational costs related to electric distribution losses and coal logistics. The objective is achieved by combining EPA Screen3, ISC3 and Japanese METI-LIS model equations with minimum spanning tree (MST) algorithm. Prim’s MST algorithm is used to simulate an electric distribution system and coal transportation pathways. The model can detect emission interaction with another source and estimate the ground level concentrations of emissions up to distances of 25 kilometers. During a grid search, the algorithm helps determine a candidate location, for a new coal power plant, that would minimize the operational cost while ensuring emission exposure is below the EPA/NIOSH thresholds. The proposed methodology has been coded in form of a location analysis simulation. An exhaustive search strategy delivers a final candidate location for a new coal power plant to ensure minimum operational costs as compared to the random or greedy search strategy. The simulation provides a tool to industrial zone planners, environmental engineers, and stakeholders in coal-based power generation. Using operational and emissions perspectives, the tool helps ascertain a list of compromise locations for a new coal power plant facility.

关键词： MCDA-Operations Research Location Analysis Prim’s Algorithm Atmospheric Pollution Modelling Transportation Cost

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Volatility and Dynamic Herding in Energy Sector of Developed Markets During COVID-19:A Markov Regime-Switching Approach

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Fudan Journal of the Humanities and Social Sciences 2024年第1期17卷 115-138页

作者： Zuee Javaira najam Us Sahar Syed Danial Hashmi Iram Naz Federal Urdu University of Arts Science and Technology FUUASTIslamabadPakistan AFIPGM National University of Medical SciencesRawalpindiPakistan Faculty of Management Sciences Riphah International UniversityIslamabadPakistan College of Signals National University of Science and TechnologyIslamabadPakistan

This study examines a novel relationship between volatility and dynamic herding behavior during COVID-19 by examining the relationship of oil market volatility,Global volatility and Infectious disease equity market volatility with time-varying herding behavior in energy stock of Developed *** country level data,this study observes that market switch between anti-herding to herding state during pandemic and all three volatility measures have significant impact on dynamic herding state under high dispersion ***,in low dispersion regime only global volatility has significant impact on time-varying herding *** study suggests that the level of speculation in energy sector affect investor behavior;therefore,policy makers should monitor and model possible signals related to health crisis that can be transformed in to financial market crisis.

关键词： Herding Energy sector COVID-19 Volatility Markov regime approach

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Magnetostructural transformation and magnetocaloric effect in Mn_(48-x)V_(x)Ni_(42)Sn_(10) ferromagnetic shape memory alloys

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Chinese Physics B 2018年第3期27卷 439-443页

作者： najam ul Hassan Ishfaq Ahmad Shan Tahira khan Jun Liu Yuanyuan Gong Xuefei Miao Feng Xu MIIT Key Laboratory of Advanced Metallic and Intermetallic Materials Technology School of Materials Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China Beijing National Laboratory for Condensed Matter Physics Chinese Academy of SciencesBeijing 100190China

In this work,we tuned the magnetostructural transformation and the coupled magnetocaloric properties of Mn_(48-x)V_(x)Ni_(42)Sn_(10)(x=0,1,2,and 3)ferromagnetic shape memory alloys prepared by means of partial replacement of Mn by *** is observed that the martensitic transformation temperatures decrease with the increase of V *** shift of the transition temperatures to lower temperatures driven by the applied field,the metamagnetic behavior,and the thermal hysteresis indicates the first-order nature for the magnetostructural *** entropy changes with a magnetic field variation of 0-5 T are 15.2,18.8,and 24.3 ***^(-1).K^(-1)for the x=0,1,and 2 samples,*** tunable martensitic transformation temperature,enhanced field driving capacity,and large entropy change suggest that Mn_(48-x)V_(x)Ni_(42)Sn_(10)alloys have a potential for applications in magnetic cooling refrigeration.

关键词： magnetostructural coupling field driving capacity refrigeration capacity magnetocaloric effect

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Environmental degradation and poverty:A bibliometric review

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Regional Sustainability 2021年第4期2卷 324-336页

作者： Muhammad Ali khan BURKI Umar BURKI Usama najam Department of Economics University of OsloOslo0316Norway University of South-Eastern Norway School of Business University of South-Eastern NorwayKongsberg3603Norway Department of Economics and Administration Oslo New University CollegeOslo0316Norway Department of Business Administration Air University IslamabadMultan60000Pakistan

Understanding the mutual logic between environment and poverty mitigation is vital for achieving the United Nations Sustainable Development Goals(SDGs).This study conducts a bibliometric review of the available literature on environmental degradation and poverty and summarizes the existing *** applying suitable keywords,we retrieved 175 peer-reviewed articles from the Web of Science published between 1993 and *** utilized the visualization of similarity viewer(VOSviewer)for this bibliometric study and classified the leading publications,prominent journals,and ***,our bibliometric review found a phenomenon in investigation that people are indifference about the impact of environmental degradation on rising poverty levels in poor and developing *** terms of contributions,this study classifies 4 leading thematic clusters that identify how environmental degradation increases *** employing text mining analysis,this research connects specific environmental terms accountable for the recent rise in global *** finally recommend that including other databases to strengthen the findings of environmental degradation and poverty is one of the future research directions.

关键词： Environmental degradation Poverty Bibliometric review Co-occurrence analysis Thematic clusters Network visualization

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HRNetO:Human Action Recognition Using Unified Deep Features Optimization Framework

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计算机、材料和连续体（英文） 2023年第4期75卷 1089-1105页

作者： Tehseen Ahsan Sohail Khalid Shaheryar najam Muhammad Attique khan Ye Jin Kim Byoungchol Chang Department of Electrical Engineering Riphah International UniversityPeshawar Rdnear Hajj ComplexI-14IslamabadIslamabad Capital Territory46000Pakistan Departmnt of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Science Hanyang UniversitySeoul04763Korea Center for Computational Social Science Hanyang UniversitySeoul04763Korea

Human action recognition(HAR)attempts to understand a subject’sbehavior and assign a label to each action *** is more appealingbecause it has a wide range of applications in computer vision,such asvideo surveillance and smart *** attempts have been made in theliterature to develop an effective and robust framework for ***,theprocess remains difficult and may result in reduced accuracy due to severalchallenges,such as similarity among actions,extraction of essential features,and reduction of irrelevant *** this work,we proposed an end-toendframework using deep learning and an improved tree seed optimizationalgorithm for accurate *** proposed design consists of a *** the first step,frame preprocessing is *** the second step,two pre-trained deep learning models are fine-tuned and trained throughdeep transfer learning using preprocessed video *** the next step,deeplearning features of both fine-tuned models are fused using a new ParallelStandard Deviation Padding Max Value *** fused features arefurther optimized using an improved tree seed algorithm,and select the bestfeatures are finally classified by using the machine learning *** was carried out on five publicly available datasets,including UTInteraction,Weizmann,KTH,Hollywood,and IXAMS,and achieved higheraccuracy than previous techniques.

关键词： Action recognition features fusion deep learning features selection

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Neuroaxonal and cellular damage/protection by prostanoid receptor ligands,fatty acid derivatives and associated enzyme inhibitors

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Neural Regeneration Research 2023年第1期18卷 5-17页

作者： najam A.Sharif Department of Pharmaceutical Sciences College of Pharmacy and Health SciencesTexas Southern UniversityHoustonTXUSA Department of Pharmacology and Neuroscience University of North Texas Health Sciences CenterFort WorthTXUSA Department of Pharmacy Sciences School of Pharmacy and Health ProfessionsCreighton UniversityOmahaNEUSA Singapore Eye Research Institute(SERI) SingaporeSingapore Duke-NUS Medical School SingaporeSingapore Department of Surgery&Cancer Imperial College of Science and TechnologySt.Mary’s CampusLondonUK Global Alliances and External Research Ophthalmology Innovation CenterSanten Inc USAEmeryvilleCAUSA

Cellular and mitochondrial membrane phospholipids provide the substrate for synthesis and release of prostaglandins in response to certain chemical,mechanical,noxious and other *** D_(2),prostaglandin E_(2),prostaglandin F_(2)α,prostaglandin I_(2)and thromboxane-A_(2)interact with five major receptors(and their sub-types)to elicit specific downstream cellular and tissue *** general,prostaglandins have been associated with pain,inflammation,and edema when they are present at high local concentrations and involved on a chronic ***,in acute settings,certain endogenous and exogenous prostaglandins have beneficial effects ranging from mediating muscle contraction/relaxation,providing cellular protection,regulating sleep,and enhancing blood flow,to lowering intraocular pressure to prevent the development of glaucoma,a blinding *** classes of prostaglandins are implicated(or are considered beneficial)in certain central nervous system dysfunctions(e.g.,Alzheimer’s,Parkinson’s,and Huntington’s diseases;amyotrophic lateral sclerosis and multiple sclerosis;stroke,traumatic brain injuries and pain)and in ocular disorders(e.g.,ocular hypertension and glaucoma;allergy and inflammation;edematous retinal disorders).This review endeavors to address the physiological/pathological roles of prostaglandins in the central nervous system and ocular function in health and disease,and provides insights towards the therapeutic utility of some prostaglandin agonists and antagonists,polyunsaturated fatty acids,and cyclooxygenase inhibitors.

关键词： AL-8810 axon brain central nervous system cyclooxygenase inhibitors neuron neuroprotection ocular polyunsaturated fatty acids prostaglandins

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A Fuzzy Logic Based Power-Efficient Run-Time Reconfigurable Multicore System

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Chinese Journal of Electronics 2018年第3期27卷 549-555页

作者： Shaheryar najam Muhammad Yasir Qadri Zohaib najam Jameel Ahmed Nadia N.Qadri Electrical Engineering Department Riphah International University School of Computer Science and Electronic Engineering University of Essex Electrical Engineering Department HITEC University Department of Electrical Engineering COMSATS Institute of Information Technology

Increasing demand for better throughput and performance has motivated designers to come up with more sophisticated processors with innovative designs. Such designs for multicore architectures offer large amount of parallelism which is often underutilized and thus becomes overhead and liability. Due to these advancements, there has been a exponential increase in power consumption and heat dissipation of computing devices. Under these circumstances, an ideal system would be a reconfigurable system that can switch off all underutilized resources and work with only required ones. There is a need of reconfigurable computing devices and processors that are smart enough to configure themselves dynamically on runtime to find balance between throughput and power-consumption. This paper proposes a novel fuzzy logic based Dynamic voltage and frequency scaling(DVFS)and power-gating enabled controller which is capable of reducing power-consumption without affecting throughput and overall performance of the system. The design is implemented on Intel processor using Ubuntu as an operating system. Implementation results show that proposed Fuzzy logic controller(FLC) reduces power-consumption upto 40% by reconfiguring the processor dynamically without compromising the throughput.

关键词： DVFS Fuzzy logic controller Energy Throughput

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Glaucomatous optic neuropathy treatment options:the promise of novel therapeutics,techniques and tools to help preserve vision

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Neural Regeneration Research 2018年第7期13卷 1145-1150页

作者： najam A.Sharif Department of Global Alliances & External Research Global Ophthalmology Research & DevelopmentSanten Incorporated Department of Pharmaceutical Sciences Texas Southern University Department of Pharmacology and Neuroscience University of North Texas Health Sciences Center Department of Pharmacy Sciences Creighton University Department of Surgery & Cancer Imperial College of Science and TechnologySt.Mary's Campus

Peripheral vision loss followed by ＂tunnel vision＂ and eventual irreversible blindness is the fate of patients afflicted by various forms of glaucoma including primary open-angle glaucoma（POAG） and normotensive glaucoma（NTG）.These complex and heterogeneous diseases are characterized by extensive death of retinal ganglion cells（RGCs） accompanied by retraction and severance of their axonal connections to the brain and thus damage to and thinning of the optic *** patients suffering from this glaucomatous optic neuropathy（GON） first notice visual impairment when they have lost 〉 40% of their RGCs,early diagnosis is the key to retard the progression of *** intraocular pressure（IOP）,low cerebrospinal and/or low intracranial fluid pressure,advancing age,and ethnicity are major risk factors associated with ***,retinal vascular abnormalities and a high sensitivity of RGCs and optic nerve head components to neurotoxic,inflammatory,oxidative and mechanical insults also contribute to vision loss in POAG/*** treatment modalities for POAG and NTG involve lowering IOP using topical ocular drugs,combination drug products,and surgical *** recently approved multi-pharmacophoric drugs（e.g.,rho kinase inhibitor,Netarsudil;a drug conjugate,Latanoprostene Bunod） and novel aqueous humor drainage devices（i Stent and Cy Pass） are also gaining acceptance for treating POAG/*** and regenerative agents,coupled with electroceutical,mechanical support systems,stem cell transplantation and gene therapy are emerging therapeutics on the horizon to help combat *** latter techniques and approaches hope to rejuvenate RGCs and repair the optic nerve structures,thereby providing a gain of function of the visual system for the glaucoma patients.

关键词： glaucoma ocular hypertension glaucomatous optic neuropathy drainage device optic nerve degeneration retinal ganglion cells nerve regeneration neuroprotection

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Summarizing Software Artifacts： A Literature Review

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Journal of Computer Science & Technology 2016年第5期31卷 883-909页

作者： najam Nazar Yan Hu He Jiang Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province School of Software Dalian University of Technology Dalian 116621 China State Key Laboratory of Software Engineering Wuhan University Wuhan 430072 China

This paper presents a literature review in the field of summarizing software artifacts, focusing on bug reports, source code, mailing lists and developer discussions artifacts. From Jan. 2010 to Apr. 2016, numerous summarization techniques, approaches, and tools have been proposed to satisfy the ongoing demand of improving software performance and quality and facilitating developers in understanding the problems at hand. Since aforementioned artifacts contain both structured and unstructured data at the same time, researchers have applied different machine learning and data mining techniques to generate summaries. Therefore, this paper first intends to provide a general perspective on the state of the art, describing the type of artifacts, approaches for summarization, as well as the common portions of experimental procedures shared among these artifacts. Moreover, we discuss the applications of summarization, i.e., what tasks at hand have been achieved through summarization. Next, this paper presents tools that are generated for summarization tasks or employed during summarization tasks. In addition, we present different summarization evaluation methods employed in selected studies as well as other important factors that are used for the evaluation of generated summaries such as adequacy and quality. Moreover, we briefly present modern communication channels and complementarities with commonalities among different software artifacts. Finally, some thoughts about the challenges applicable to the existing studies in general as well as future research directions are also discussed. The survey of existing studies will allow future researchers to have a wide and useful background knowledge on the main and important aspects of this research field.

关键词： mining software repositories mining software engineering data machine learning summarizing softwar eartifacts summarizing source code

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