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The role of green industrial transformation in mitigating carbon emissions:Exploring the channels of technological innovation and environmental regulation

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Energy and Built Environment 2024年第3期5卷 464-479页

作者： Saima Mehmood Khalid Zaman Shiraz Khan Zohaib Ali haroon ur rashid Khan Department of Economics The University of HaripurHaripurKhyber Pakhtunkhwa 22620Pakistan Department of Management Sciences The University of HaripurHaripurKhyber Pakhtunkhwa 22620Pakistan Department of Energy and Process Engineering(EPT) Norwegian University of Science and TechnologyHøgskoleringen 1Trondheim 7034Norway Faculty of Business The University of Wollongong in DubaiDubai 20183United Arab Emirates

The industrial sector is vital to economic progress,yet industrial pollution poses environmental and economic *** purpose of the study was to investigate the influence of green industrial transformation in re-ducing Pakistan’s carbon intensity between 1975 and *** emissions are considered an endogenous construct,while foreign direct investment(FDI)inflows,technological innovation,green industrial transforma-tion,environmental legislation,and research and development(R&D)investment are possible *** association between variables is assessed using the robust least-squares *** industrial transforma-tion is connected with lower carbon emissions,yet technical innovation,R&D investment,and inbound FDI raise a country’s carbon *** findings support the pollution haven hypothesis in a *** causality esti-mates indicate that inward FDI contributes to environmental regulations;green industrial transformation directly relates to inbound FDI and R&D expenditures;and technological innovations correspond to inbound FDI,R&D ex-penditures,industrial ecofriendly progression,and environmental *** to the impulse response function,environmental policies are anticipated to have a differential effect on carbon emissions in 2023,2024,2028-2030,while they are likely to decrease in the years 2025-2027 and 2031 ***,inward FDI and technology advancements would almost certainly result in a rise in carbon emissions over *** industrial transitions are projected to result in a ten-year reduction in carbon *** variance decomposi-tion analysis indicates that eco-friendly industrial adaptations would likely have the largest variance error shock on carbon emissions(11.747%),followed by inbound FDI,technological advancements,and regulatory changes,with R&D spending having a minimal impact over ***’s economy should foster a green industrial revolution to avoid pollution and increase environm

关键词： Carbon intensity Industrial green transformation Environmental regulations Technological innovations Robust least squares regression

添加WC颗粒对镁合金表面等离子喷涂Al基涂层耐腐蚀和耐磨损性能的影响

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Transactions of Nonferrous Metals Society of China 2024年第7期34卷 2275-2288页

作者： haroon rashid 雒晓涛董昕远张黎李长久西安交通大学材料科学与工程学院金属材料强度国家重点实验室西安710049

常规热喷涂工艺制备的金属涂层内的粒子界面弱结合导致其不能为基材提供长效的腐蚀防护,因此,采用大气等离子喷涂,实现粒子间的冶金结合,制备高致密Al-15%WC(体积分数)复合涂层。结果表明,由于WC颗粒中C元素的去氯效应,以及超高温熔滴(>... 详细信息

常规热喷涂工艺制备的金属涂层内的粒子界面弱结合导致其不能为基材提供长效的腐蚀防护,因此,采用大气等离子喷涂,实现粒子间的冶金结合,制备高致密Al-15%WC(体积分数)复合涂层。结果表明,由于WC颗粒中C元素的去氯效应,以及超高温熔滴(>1800℃)间的自冶金结合,在最优等离子喷涂条件下制备出无氧化物杂质的涂层。涂层的致密结构使其表现出优异耐腐蚀性能,其腐蚀电流密度比镁合金基体降低4个数量级,比纯铝块材降低2个数量级。WC硬质颗粒的添加使Al-WC复合涂层的耐磨损性能相较纯Al块材提高1个数量级。

关键词：大气等离子喷涂 Al-WC涂层自冶金结合去氧效应耐腐蚀性耐磨性

Natural Convection and Irreversibility of Nanofluid Due to Inclined Magnetohydrodynamics(MHD)Filled in a Cavity with Y-Shape Heated Fin:FEM Computational

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1505-1519页

作者： Afraz Hussain Majeed rashid Mahmood Sayed M.Eldin Imran Saddique S.Saleem muhammad Jawad School of Energy and Power Engineering Jiangsu UniversityZhenjiang212013China Department of Mathematics Air UniversityIslamabad44000Pakistan Center of Research Faculty of EngineeringFuture University in EgyptNew Cairo11835Egypt Department of Mathematics University of Management and TechnologyLahore54770Pakistan Department of Mathematics University of SargodhaSargodha40100Pakistan Department of Mathematics College of ScienceKing Khalid UniversityAbha61413Saudi Arabia Faculty of Sciences The Superior UniversityLahore54000Pakistan

This study explains the entropy process of natural convective heating in the nanofluid-saturated cavity in a heated fin andmagnetic *** temperature is constant on the Y-shaped fin,insulating the topwall while the remaining walls remain *** walls are subject to impermeability and non-slip *** mathematical modeling of the problem is demonstrated by the continuity,momentum,and energy equations incorporating the inclined magnetic *** elucidating the flow characteristics Finite ElementMethod(FEM)is implemented using stable FE pair.A hybrid fine mesh is used for discretizing the *** and thermal plots concerning parameters are *** addition,a detailed discussion regarding generation energy by monitoring changes in magnetic,viscous,total,and thermal irreversibility is *** addition,line graphs are created for the u and v components of the velocity profile to predict the flow *** simulations assume the dimensionless representative of magnetic field Hartmann number Ha between 0 and 100 and a magnetic field inclination between 0 and 90 degrees.A constant 4% volume proportion of nanoparticles is employed throughout all scenarios.

关键词： Finite element method nanomaterials entropy MHD square cavity Y-fin

Heart-Net: AMulti-Modal Deep Learning Approach for Diagnosing Cardiovascular Diseases

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Computers, Materials & Continua 2024年第9期80卷 3967-3990页

作者： DeemaMohammed Alsekait Ahmed Younes Shdefat AymanNabil Asif Nawaz muhammad Rizwan rashid Rana Zohair Ahmed Hanaa Fathi Diaa Salama Abd Elminaam Department of Computer Science and Information Technology Applied CollegePrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia College of Engineering and Technology American University of the Middle EastEgaila15453Kuwait Faculty of Computers Science Misr International UniversityCairo11800Egypt university Institute of Information Technology—PMAS Arid Agriculture university Rawalpjndi46000Pakistan Department of Computer Science International Islamic UniversityIslamabad04436Pakistan Jadara Research Center Jadara UniversityIrbid21110Jordan Information System Department Faculty of Computers and Artificial IntelligenceBenha UniversityBanha13511Egypt MEu Research unit Middle East UniversityAmman11831Jordan

Heart disease remains a leading cause of morbidity and mortality worldwide,highlighting the need for improved diagnostic *** diagnostics face limitations such as reliance on single-modality data and vulnerability to apparatus faults,which can reduce accuracy,especially with poor-quality ***,these methods often require significant time and expertise,making them less accessible in resource-limited *** technologies like artificial intelligence and machine learning offer promising solutions by integrating multi-modality data and enhancing diagnostic precision,ultimately improving patient outcomes and reducing healthcare *** study introduces Heart-Net,a multi-modal deep learning framework designed to enhance heart disease diagnosis by integrating data from Cardiac Magnetic Resonance Imaging(MRI)and Electrocardiogram(ECG).Heart-Net uses a 3D u-Net for MRI analysis and a Temporal Convolutional Graph Neural Network(TCGN)for ECG feature extraction,combining these through an attention mechanism to emphasize relevant *** is performed using Optimized *** approach improves early detection,reduces diagnostic errors,and supports personalized risk assessments and continuous health *** proposed approach results show that Heart-Net significantly outperforms traditional single-modality models,achieving accuracies of 92.56%forHeartnetDataset Ⅰ(HNET-DSⅠ),93.45%forHeartnetDataset Ⅱ(HNET-DSⅡ),and 91.89%for Heartnet Dataset Ⅲ(HNET-DSⅢ),mitigating the impact of apparatus faults and image quality *** findings underscore the potential of Heart-Net to revolutionize heart disease diagnostics and improve clinical outcomes.

关键词： Heart diseases magnetic resonance imaging electrocardiogram deep learning classification

Oxidative desulfurization of dibenzothiophene over Fe promoted Co–Mo/Al_2O_3 and Ni–Mo/Al_2O_3 catalysts using hydrogen peroxide and formic acid as oxidants

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Chinese Journal of Chemical Engineering 2018年第3期26卷 593-600页

作者： Yaseen muhammad Ayesha Shoukat Ata ur Rahman haroon ur rashid Waqas Ahmad Institute of Chemical Sciences University ofPeshawar Khyber Pakhtunkhwa Pakistan School of Chemistry and Chemical Engineering Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology Guangxi University Guangxi 530004 China Department of Chemistry 5arhad University of Science and Information Technology Peshawar Pakistan

This work reports the enhancing effect of a highly cost effective and efficient metal, Fe, incorporation to Co or Ni based Mo/Al2O3 catalysts in the oxidative desulfurization （ODS） of dibenzothiophene （DBT） using H2O2 and formic acid as oxidants. The influence of operating parameters i.e. reaction time, catalyst dose, reaction temperature and oxidant amount on oxidation process was investigated. Results revealed that 99% DBT conversion was achieved at 60℃ and 150 min reaction time over Fe-Ni-Mo/Al2O3. Fe tremendously enhanced the ODS activity of Co or Ni based Mo/Al2O3 catalysts following the activity order：Fe-Ni-Mo/Al2O3 〉 Fe-Co-Mo/Al2O3 〉 Ni-Mo/Al2O3 〉 Co-Mo/Al2O3, while H2O2 exhibited higher oxidation activity than formic acid over all catalyst systems. Insight about the surface morphology and textural properties of fresh and spent catalysts were achieved using scanning electron microscopy （SEM）, X-ray diffraction （XRD）, energy dispersive X-ray （EDX） analysis, Atomic Absorption Spectroscopy （AAS） and BET surface area analysis, which helped in the interpretation of experimental data. The present study can be deemed as an effective approach on industrial level for ODS of fuel oils crediting to its high efficiency, low process/catalyst cost, safety and mild operating condition.

关键词： Oxidative desulfurization Fuel oil Dibenzothiophene Fe promoted (Co/Ni)-Mo/Al2O3 catalyst XRD

Computationally efficient locality-aware interconnection topology for multi-processor system-on-chip(MP-SoC)

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Chinese Science Bulletin 2010年第29期55卷 3363-3371页

作者： haroon-ur-rashid Khan School of Computer Sicence and Technology Beijing Institute of Technology

This paper evaluates the Triplet Based Architecture,TriBA-a new idea in chip multiprocessor architectures and a class of Direct Interconnection Network(DIN).TriBA consists of a 2D grid of small,programmable processing units,each physically connected to its three neighbors so that advantageous features of group locality can be fully and efficiently *** communication model can be well characterized by locality properties and,any topology has its intrinsic,structural,locality *** propose a new criterion in performance evaluation that is based on the concept of locality in an interconnection network,the "lower layer complete connect".Our proposed criterion depicts how completely a processing node is connected to all its *** is compared with 2D Mesh and Binary Tree as static interconnection *** comparison/evaluation is enumerated from three orthogonal view points,viz.,computational speed,physical layout and *** analysis concludes that TriBA is computationally efficient interconnection strategy that exploits group locality in processing nodes.

关键词：互连网络系统级芯片拓扑结构多处理器计算效率局部性 SoC MP

Assessment of the environmental kuznets curve within Eu-27:Steps toward environmental sustainability(1990-2019)

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Environmental Science and Ecotechnology 2024年第2期18卷 91-103页

作者： Safwan Mohammed Abid rashid Gill Kaushik Ghosal Main Al-Dalahmeh Karam Alsafadi Szilárd Szabó Judit Oláh Ali Alkerdi Akasairi Ocwa Endre Harsanyi Institute of Land use Engineering and Precision Farming TechnologyFaculty of Agricultural and Food Sciences and Environmental ManagementUniversity of DebrecenBöszörményi 138H-4032DebrecenHungary Institutes for Agricultural Research and Educational Farm University of DebrecenBöszörményi 138H-4032DebrecenHungary Department of Economics The Islamia University of BahawalpurPakistan Department of Mining Engineering Indian Institute of Engineering Science and TechnologyShibpurP.O.711103Botanic GardenHowrahWest Bengal711103India Institute of Management and Organization Sciences Faculty of Economics and BusinessUniversity of DebrecenEgyetem Tér 14032DebrecenHungary School of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing210044China Department of Physical Geography and Geoinformatics Faculty of Sciences and TechnologyUniversity of DebrecenEgyetem tér 14032DebrecenHungary Faculty of Economics and Business University of Debrecen4032DebrecenHungary Department of Trade and Finance Faculty of Economics and ManagementCzech University of Life SciencesPrague16500PragueCzech Republic Department of Agricultural Economics Faculty of AgricultureKahramanmaras SütçüImam UniversityTurkey Department of Agriculture Production Faculty of AgricultureKyambogo University P.O.B.1KyambogoKampalaUganda

Reducing environmental pollution is a critical goal in global environmental economics and economic *** European union(Eu)faces environmental challenges due to its development *** we present a comprehensive approach to assess the impact of carbon dioxide(CO_(2))emissions,energy consumption(EC),population structure(POP),economy(GDP),and policies on the environment within the Eu using the environmental Kuznets curve(EKC).Our research reveals that between 1990 and 2019,the Eu-27 experienced an increase of t1.18 million tonnes of oil equivalent(Mtoe)per year in energy consumption(puction in CO_(2)emissions occurred in Germany(7.52 Mt CO_(2)annually),and the lowest in Latvia(0.087 Mt CO_(2)annually).The empirical EKC analysis shows an inverted-u shaped relationship between GDP and CO_(2)emissions in the ***,a 1%increase in GDP results in a 0.705%increase in carbon emission,while a 1%increase in GDP2 leads to a 0.062%reduction in environmental pollution in the long run(pu has reached a stage where economic growth positively impacts the ***,this study provides insights into the effectiveness of environmental policies in mitigating degradation and promoting green growth in the Eu 27 countries.

关键词： Invasion risk Climate change Adaptive genomic variation Genomic offset Habitat suitability

Seed germination and seedling emergence of four tree species of southern China in response to acid rain

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Journal of Forestry Research 2021年第2期32卷 471-481页

作者： Matoor Mohsin Gilani Mulualem Tigabu Bo Liu Taimoor Hassan Farooq muhammad haroon urashid muhammad Ramzan Xiangqing Ma Forestry College Fujian Agriculture and Forestry UniversityFuzhou 350002People’s Republic of China Fujian Provincial Colleges and university Engineering Research Center of Plantation Sustainable Management Fuzhou 350002People’s Republic of China Faculty of Forest Science Southern Swedish Forest Research CenterSwedish University of Agricultural SciencesP.O.Box 4923053 AlnarpSweden National Engineering Laboratory for Applied Technology of Forestry and Ecology in South China Central South University of Forestry and TechnologyChangsha 410000People’s Republic of China School of Soil and Water Conservation and Desertification Combating Beijing Forestry UniversityBeijing 100083People’s Republic of China

Acid rain has become a major concern due to increasing atmospheric pollution,particularly in *** investigated whether acid rain inhibits the germination of seeds and subsequent emergence of seedling of four tree species from southern China:Cunninghamia lanceolata,Fokienia hodginisi,Pinus massoniana and Phoebe zhennan by simulating acid rain with pH of 2.5,3.5,4.5 and *** hypothesized that the inhibitory effect of acid rain on germination of seeds and emergence of seedling varies between species and the degree of acidity.A solution of 1 N H2SO4 and 1 N HNO 3 in the ratio of 10–1 was prepared and diluted to four pH levels,and seeds were supplied with solutions of these pH values and distilled water as control and tested for germination in a controlled growth *** results revealed that simulated acid rain of pH 2.5 adversely affected the germination capacity of *** and ***;while all acid solutions significantly increased germination of ***;but had no effect on germination of *** *** acid solution(pH of 2.5)adversely affected elongation of radicle and hypocotyl as well as fresh and dry weights of radicle and hypocotyl of tender *** result demonstrated that seedling emergence is more sensitive than seed germination to simulated acid rain,and germination of conifer species are less sensitive than broad leaved species to simulated acid *** a whole,acid rain of pH of 3.5 is the threshold level and acid rain below this value will have a detrimental effect on seed germination and seedling emergence.

关键词： Cunninghamia lanceolata Fokienia hodginisi Pinus massoniana Phoebe zhennan Seed viability Simulated acid rain

Locality Aware Optimal Task Scheduling Algorithm for TriBA —— A Novel Scalable Architecture

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Journal of Beijing Institute of Technology 2008年第3期17卷 294-299页

作者： KHAN haroon-ur-rashid 石峰 School of Computer Science and Engineering Beijing Institute of Technology Beijing 100081 China

An optimal algorithmic approach to task scheduling for, triplet based architecture（TriBA）, is proposed in this paper. TriBA is considered to be a high performance, distributed parallel computing architecture. TriBA consists of a 2D grid of small, programmable processing units, each physically connected to its three neighbors. In parallel or distributed environment an efficient assignment of tasks to the processing elements is imperative to achieve fast job turnaround time. Moreover, the sojourn time experienced by each individual job should be minimized. The arriving jobs are comprised of parallel applications, each consisting of multiple-independent tasks that must be instantaneously assigned to processor queues, as they arrive. The processors independently and concurrently service these tasks. The key scheduling issues is, when some queue backlogs are small, an incoming job should first spread its tasks to those lightly loaded queues in order to take advantage of the parallel processing gain. Our algorithmic approach achieves optimality in task scheduling by assigning consecutive tasks to a triplet of processors exploiting locality in tasks. The experimental results show that tasks allocation to triplets of processing elements is efficient and optimal. Comparison to well accepted interconnection strategy, 2D mesh, is shown to prove the effectiveness of our algorithmic approach for TriBA. Finally we conclude that TriBA can be an efficient interconnection strategy for computations intensive applications, if tasks assignment is carried out optimally using algorithmic approach.

关键词： multiprocessor architecture task scheduling mapping parallel processing speedup