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Deciphering the role of rGO in tuning dielectric properties of Er_(2)O_(3)/ZnO/rGO nanocomposites synthesized via facile approach

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Journal of Rare Earths 2024年第3期42卷 578-585,I0006页

作者： Saiqa Hafeez Saima Perveen muhammad Zarrar khan Awab Hashmi Fahad Azad School of Natural Sciences(SNS) National University of Sciences and Technology(NUST)IslamabadPakistan Electronic and Magnetic Materials Laboratory School of Chemical and Materials Engineering(SCME)National University of Sciences and Technology(NUST)IslamabadPakistan

The present research investigated the effect of reduced graphene oxide(rGO) integration with assynthesized Er_(2)O_(3)/ZnO nanocomposites on dielectric properties. The samples were characterized by Xray diffraction(XRD), Fourier transform infrared spectroscopy(FTIR), scanning electron microscopy(SEM), diffuse reflectance spectroscopy(DRS), and energy dispersive spectroscopy(EDS). Complex impedance spectroscopy was utilized to characterize dielectric relaxation phenomena in Er_(2)O_(3)/ZnO and Er_(2)O_(3)/ZnO/rGO nanocomposites. All the samples exhibit single relaxation phenomena which are ascribed to grain boundaries. The addition of rGO to Er_(2)O_(3)/ZnO nanocomposite results in the enhancement of dielectric response due to increased local field intensity caused by the formation of conductinginsulating interfaces. Furthermore, the AC conductivity of the Er_(2)O_(3)/ZnO/rGO is increased at higher frequencies due to the presence of free charge carriers in rGO. At higher frequencies, Er_(2)O_(3)/ZnO/rGO nanocomposite with increased concentration of ZnO exhibits a more stable dielectric constant with extremely low dielectric loss. Hence, the inclusion of rGO in Er_(2)O_(3)/ZnO nanocomposites makes it a novel prospective candidate in the field of energy storage devices.

关键词： Erbium oxide(Er_(2)O_(3)) Rare earths Stable dielectric constant Impedance Polarization Grain boundaries

Facile sol-gel preparation of high-entropy multielemental electrocatalysts for efficient oxidation of methanol and urea

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Nano Research 2022年第6期15卷 5014-5023页

作者： Talifhani Mushiana Mustafa khan muhammad Imran Abdullah Ning Zhang Mingming Ma Department of Chemistry University of Science and Technology of ChinaHefei 230026China School of Biology Food and EnvironmentHefei UniversityHefei 230022China

High-entropy multi-elemental(HEM)electrocatalysts present superior catalytic performance due to the efficient synergism of their *** electrocatalysts are usually prepared through hydrothermal reactions or calcination,which could generate undesired heterogeneous structures that hinder the exploration of the structure–property relationship of these HEM ***,we report a sol-gel method to synthesize homogeneous HEM electrocatalysts for electro-oxidation of methanol and urea(methanol oxidation reaction(MOR)and urea oxidation reaction(UOR)),through an acid-catalyzed gelation at room *** Ni as the primary component for MOR and UOR,Co can reduce the overpotentials,while Fe can increase the catalytic activities and *** and phosphate can tune the charge distribution in active sites and speed up the reaction kinetics through fast proton ***,the optimal Ni_(2)Fe_(0.5)Co_(0.5)-BP HEM catalyst demonstrates superior catalytic activity together with good durability and great resistance to CO *** addition,a direct methanol fuel cell with Ni_(2)Fe_(0.5)Co_(0.5)-BP electrode can not only provide power,but also produce formic acid with high yield and high Faraday *** work presents a simple strategy to prepare high-performance HEM electrocatalysts for fuel cells and production of valueadded chemicals.

关键词： catalytic oxidation reaction high-entropy multi-elemental electrocatalysts sol-gel formic acid

Assessing the potential landslide risk identification in the northern section of CPEC route Pakistan based on Multi-Temporal InSAR approaches

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Journal of Mountain Science 2024年第12期21卷 4131-4148页

作者： Meer muhammad SAJJAD WANG Juanle GE Daqing Rehan khan Izhar AHMED khan ZADA State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Business School Hohai UniversityNanjing 210098China China-Pakistan Earth Science Research Center Islamabad 45320Pakistan Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China China Aero Geophysical Survey&Remote Sensing Center for Natural Resources Beijing 100083China Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of EducationSchool of Geosciences and Info-PhysicsCentral South UniversityChangsha 410083China Institute of Geology and Geophysics Chinese Academy of SciencesBeijing 100029China College of Earth and Planetary Science University of Chinese Academy of SciencesBeijing 100049China Geotechnical and Geo-Environmental Engineering Division National Engineering Services PakistanLahore 54700Pakistan

Landslides are the most frequent geoenvironmental natural hazards in hilly regions,owing to broken rock masses and slope *** year,landslides occur along the Karakorum highway in the northern section of the China-Pakistan Economic Corridor,involving complex geological action and causing significant damages and *** mitigate landslide hazard risks and a better understanding of landslide occurrence in steep mountainous regions,a comprehensive and precise analysis of slow-moving landslides is *** address this challenge,a Multi-Temporal(MT),Interferometry Synthetic Aperture Radar(InSAR)approach using Small Baseline Subsets and Interferometric Point Target Analysis techniques was utilized to extract ground deformation rates.A total of 121 multitrack synthetic aperture radar images from Sentinel-1A were acquired from 2021 to 2023,enabling the detection and monitoring of ground displacement over *** active slope movements were successfully identified by calculating the differences in deformation,indicating a significant deformation rate within the trust fault lines and regional geological *** research findings reveal that the regional geological structure,including lithology and fault lines,significantly increase the deformation *** identified landslide hazard areas range from 1.47 km2 to 14.88 km2,with an annual average rate of line of sight surface displacement estimated between−4.13 to−16.07 cm/*** MT-InSAR analysis demonstrates that fault lines and geology play significant role in surface deformation,providing valuable insights into the deformation induced by regional tectonic activities.

关键词： InSAR Deformation Landslide SBAS IPTA Karakorum highway

Gain Properties of Triply-Doped Graphene-Insulator-Graphene Nanosheet Waveguide

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Journal of Shanghai Jiaotong university(Science) 2019年第1期24卷 7-11页

作者： KHUSHIK muhammad Hanif Ahmed khan JIANG Chun State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University

Er^(3+)-Tm^(3+)-Pr^(3+)triply-doped graphene-glass-graphene(GGG) nanosheet waveguide amplifier, which is a promising candidate for integrated photonic devices, is modelled and numerically analyzed. The designed waveguide is composed of a triply-doped tellurite glass core. The core is sandwiched between two graphene *** rate and power propagation equations of a heterogeneous multi-level laser medium are set up and solved numerically to study the effects of waveguide length and active ion concentrations on amplifier performance at five different input signal wavelengths(1.310, 1.470, 1.530, 1.600 and 1.650 μm). The analytical results show that rareearth ion dopant concentrations at an order of 10^(26) ion/m^3, waveguide length at 0.1 m and pump power at 100 m W can amplify 1.530 and 1.600 μm input signals with 1 μW power up to approximately 20.0 and 24.0 dB ***-difference time-domain(FDTD) simulation results show that mode field radius of GGG waveguide is smaller than that of silicon waveguide. Consequently, GGG waveguide with the same pump and signal power and the same gain-medium length can produce higher gain than silicon waveguide.

关键词： nanosheet waveguide Er^(3+)-Tm^(3+)-Pr^(3+) gain medium

Intelligent wireless walls for contactless in-home monitoring

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Light(Science & Applications) 2022年第10期11卷 2308-2320页

作者： muhammad Usman James Rains Tie Jun Cui muhammad Zakir khan Jalil Ur Rehman Kazim muhammad Ali Imran Qammer H.Abbasi University of Glasgow James Watt School of EngineeringGlasgow G128QQUK State Key Laboratory of Millimetre Waves Southeast UniversityNanjingChina

Human activity monitoring is an exciting research area to assist independent living among disabled and elderly *** techniques have been proposed to recognise human activities,such as exploiting sensors,cameras,wearables,and contactless microwave *** these,the microwave sensing has recently gained significant attention due to its merit to solve the privacy concerns of cameras and discomfort caused by ***,the existing microwave sensing techniques have a basic disadvantage of requiring controlled and ideal settings for high-accuracy activity detections,which restricts its wide adoptions in non-line-of-sight(Non-LOS)***,we propose a concept of intelligent wireless walls(IWW)to ensure high-precision activity monitoring in complex environments wherein the conventional microwave sensing is *** IWW is composed of a reconfigurable intelligent surface(RIS)that can perform beam steering and beamforming,and machine learning algorithms that can automatically detect the human activities with high *** complex environments are considered:one is a corridor junction scenario with transmitter and receiver in separate corridor sections and the other is a multi-floor scenario wherein the transmitter and receiver are placed on two different floors of a *** each of the aforementioned environments,three distinct body movements are considered namely,sitting,standing,and *** subjects,one male and one female perform these activities in both *** is demonstrated that IWW provide a maximum detection gain of 28%in multi-floor scenario and 25%in corridor junction scenario as compared to traditional microwave sensing without RIS.

关键词： microwave environments floor

Cointegration between macroeconomic factors and the exchange rate USD/CNY

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Financial Innovation 2019年第1期5卷 76-90页

作者： muhammad Kamran khan Jian-Zhou Teng muhammad Imran khan School of Economics Northeast Normal UniversityChangchunJilinChina

This research paper investigates the effect of macroeconomic variables on the exchange rate USD/CYN using yearly time series data for China economy from 1980 to *** bounds test approach for cointegration is applied to test the long-run relation between the dependent and the independent *** results of long-run ARDL indicate that gross domestic product growth and trade openness have a positive effect on the exchange rate USD/CNY while interest and inflation rates have a negative effect on the exchange *** on the results of this study,it is recommended that the policymakers of the Chinese government should implement vital monetary and fiscal policies to determine the less volatile and productive exchange rate for China to manage sustainable economic growth for a long time with its trading partners.

关键词： Exchange rate Macroeconomic factors ARDL

Evaluation of different formulations of IGRs against Aedes albopictus and Culex quinquefasciatus(Diptera:Culicidae)

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Asian Pacific Journal of Tropical Biomedicine 2016年第6期6卷 485-491页

作者： Gul Zamin khan Inamullah khan Imtiaz Ali khan Alamzeb muhammad Salman Kalim Ullah Entomology Division Nuclear Institute for Food and Agriculture (NIFA) Department of Entomology Faculty of Crop Protection Sciencesthe University of Agriculture Pakistan Central Cotton Committee Cotton Research Station

Objective: To test the relative efficacy of pyriproxyfen and methoprene on mortality,deformity, inhibition and emergence to adult stages of Culex quinquefasciatus and Aedes ***: Serial dilutions(0.01–0.05 mg/L) of methoprene, pyriproxyfen 0.5 water dispersible granules(WDG) and pyriproxyfen 1.0 WDG were used to assess mortality and inhibition of 3rd instar larvae of Aedes albopictus and Culex quinquefasciatus. Each concentration and control was replicated four times in completely randomized *** on larval mortality, growth inhibition, deformities and adult's emergence was recorded weekly. On the basis of best comparative performance, the efficacy of pyriproxyfen 1.0 WDG at 0.1 g/m3 was also tested in the field by collecting treated water samples monthly for 1–6 months after field application. Twenty five 3rd instar larvae of Aedes and Culex spp. of the same cohorts were used for bioassays and compared with larvae in control cups containing 1 L of untreated tap ***: Results revealed variations in fatality of different insect growth regulators(IGRs) to the 3rd instar larvae of Culex and Aedes mosquitoes. Among the IGRs, pyriproxyfen 1.0 WDG was found best that exhibited significantly high emergence inhibition against Culex and Aedes spp. Based on the results, the IGRs were classified in terms of the tested parameters in order of pyriproxyfen 1.0 WDG > pyriproxyfen 0.5WDG > methoprene. In case of field studies, pyriproxyfen 1.0 WDG, pool data of the entire target treated sites showed minimum adult emergence from water sampled of habitats treated with 0.1 g/m3 of pyriproxyfen 1.0 ***: It is thus concluded that IGRs can be utilized as environment friendly control measures for Culex and Aedes spp. of mosquitoes on small and large scale. This will reduce the use of conventional insecticides by the public health authorities and help in reducing selection pressure of insecticides.

关键词： Insect growth regulators Mortality Inhibition Deformities Insecticides Environment friendly

Smart-City-based Data Fusion Algorithm for Internet of Things

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Computers, Materials & Continua 2022年第11期73卷 2407-2421页

作者： Jawad khan muhammad Amir khan N.Z.Jhanjhi Mamoona Humayun Abdullah Alourani Department of Computer Science IIC University of TechnologyPhnom PenhCambodia Department of Computer Science COMSATS University IslamabadAbbottabad Campus22060Pakistan School of Computer Science and Engineering SCETaylor’s UniversitySubang JayaSelangorMalaysia Department of Information Systems College of Computer and Information SciencesJouf Universityal-JoufKSA Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia

Increasingly,Wireless Sensor Networks(WSNs)are contributing enormous amounts of *** the recent deployments of wireless sensor networks in Smart City infrastructures,significant volumes of data have been produced every day in several domains ranging from the environment to the healthcare system to *** wireless sensor nodes,a Smart City environment may now be shown for the benefit of *** Smart City delivers intelligent infrastructure and a stimulating environment to citizens of the Smart Society,including the elderly and ***,Quality of Service(QoS)and poor data performance are common problems in WSNs,caused by the data fusion method,where a small amount of bad data can significantly impact the total fusion *** our proposed research,a WSN multisensor data fusion technique employing fuzzy logic for event *** the new proposed Algorithm,sensor nodes will collect less repeated data,and redundant data will be used to increase the data’s overall *** network’s fusion delay problem is investigated,and a minimum fusion delay approach is provided based on the nodes’fusion waiting *** proposed algorithm performs well in fusion,according to the results of the *** a result of these discoveries,It is concluded that the algorithm describe here is effective and dependable instrument with a wide range of applications.

关键词： Internet of things data fusion wireless sensor network fuzzy inference system

Single and Mitochondrial Gene Inheritance Disorder Prediction Using Machine Learning

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Computers, Materials & Continua 2022年第10期73卷 953-963页

作者： muhammad Umar Nasir muhammad Adnan khan muhammad Zubair Taher MGhazal Raed A.Said Hussam Al Hamadi Riphah School of Computing&Innovation Faculty of ComputingRiphah International University Lahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13120GyeonggidoKorea Faculty of Computing Riphah International UniversityIslamabad45000Pakistan School of Information Technology Skyline University CollegeSharjah1797UAE Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and Technology Universiti Kebangsaan Malaysia43600Malaysia Canadian University Dubai00000UAE Cyber-Physical Systems Khalifa UniversityAbu Dhabi127788UAE

One of the most difficult jobs in the post-genomic age is identifying a genetic disease from a massive amount of genetic ***,the complicated genetic disease has a very diverse genotype,making it challenging to find genetic *** is a challenging process since it must be completed effectively and *** research article focuses largely on which patients are more likely to have a genetic disorder based on numerous medical *** the patient’s medical history,we used a genetic disease prediction algorithm that predicts if the patient is likely to be diagnosed with a genetic *** predict and categorize the patient with a genetic disease,we utilize several deep and machine learning techniques such as Artificial neural network(ANN),K-nearest neighbors(KNN),and Support vector machine(SVM).To enhance the accuracy of predicting the genetic disease in any patient,a highly efficient approach was utilized to control how the model can be *** predict genetic disease,deep and machine learning approaches are *** most productive tool model provides more precise *** simulation results demonstrate that by using the proposed model with the ANN,we achieve the highest model performance of 85.7%,84.9%,84.3%accuracy of training,testing and validation *** approach will undoubtedly transform genetic disorder prediction and give a real competitive strategy to save patients’lives.

关键词： Genetic disorder machine learning deep learning single gene inheritance gene disorder mitochondrial gene inheritance disorder