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Acta Metallurgica Sinica(English Letters) 2016年第10期29卷 889-894页

作者： Syeda Ammara Shahzadi Shamaila Rehana Sharif sheeba ghani Nosheen Zafar Department of Physics University of Engineering and Technology Department of Physics Forman Christian College (A Chartered University)

The multiwalled carbon nanotubes thin-film-based electrode was fabricated by electrophoretic deposition and modified with copper （Cu） nanoparticles to fabricate Cu/CNTs nanocomposite sensor for nonenzymatic glucose detection. The expensive glassy carbon electrode was replaced by fluorine-doped tin oxide glass containing CNTs film to confine the Cu nanoparticles growth by electrodeposition through cyclic voltammetry （CV）. The ultraviolet visible and X-ray diffraction analysis revealed the successful deposition of Cu nanoparticles on the CNTs-modified electrode. The atomic force microscopy images confirrqed the morphology of electrodeposited Cu on CNTs film as uniformly dispersed particles. The electrocatalytic activity of electrode to the glucose oxidation was investigated in alkaline medium by CV and amperometric measurements. The fabricated sensor exhibited a fast response time of less than 5 s and the sensitivity of 314 μA rnM^-1 cm^-2 with linear concentration range （0.02-3.0 mM） having detection limit 10.0 μM. Due to simple preparation of sensor, Cu/CNTs nanocomposite electrodes are a suitable candidate for reliable determination of glucose with good stability.

关键词： Electrophoretic deposition (EPD) Fluorine-doped tin oxide (FTO) substrate Carbon nanotubes Copper nanoparticles Nonenzymatic electrocatalysis Glucose sensor

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Crystalline order and disorder in dusty plasmas investigated by nonequilibrium molecular dynamics simulations

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Chinese Physics B 2019年第5期28卷 181-188页

作者： Aamir Shahzad Maogang He sheeba ghani Muhammad Kashif Tariq Munir Fang Yang Molecular Modeling and Simulation Laboratory Department of Physics Government College University Faisalabad (GCUF) Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education Xi’an Jiaotong University Department of Physics University of Engineering and Technology (UET) Lahore College of Physics Civil Aviation University of China

The particle structure of a complex system has been explored through a unique Evans' s homogenous nonequilibrium molecular dynamics(HNEMD) simulation technique. The crystalline order–disorder structures(OD-structures) and the corresponding energies of three-dimensional(3 D) nonideal complex systems(NICSs) have been measured over a wide range of plasma states(■, κ) for a body-centered cubic(BCC) structure. The projected technique provides accurate ODstructures with fast convergence and applicable to very small size effect for different temperatures(≡ 1/■) and constant force field(F~*) values. The OD-structure obtained through HNEMD approach is found to be reasonable agreement and more reliable than those earlier identified by simulation approaches and experimental data of NICSs. New simulations of OD-structures show that dusty plasma remains in crystalline(strongly coupled) state at lower temperature and constant F*values, for the whole simulation runs. Our investigations show that the crystalline structure is changed and the particle structure switches from intermediate to disorder(nonideal gaseous) state with an increase of the system's temperature. It has been shown that the long range order shifts toward lower temperature with increasing κ. The presented technique exhibits that the potential energy has a maximum value when the dusty plasma remains in crystalline states(low temperatures),which confirms earlier 3 D simulation results.

关键词： nonequilibrium molecular dynamics crystalline structures nonideal complex systems dusty plasmas strongly coupled regime

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Antibacterial Behavior of Laser-Ablated Copper Nanoparticles

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Acta Metallurgica Sinica(English Letters) 2016年第8期29卷 748-754页

作者： hina khalid shamaila shamaila nosheen zafar rehana sharif jawad nazir mohammad rafique sheeba ghani hussain saba Department of Physics University of Engineering and Technology Department of Microbiology University of Veterinary and Animal Sciences

Copper nanoparticles（Cu NPs） have been synthesized by using laser ablation method,using deionized water as main *** formation of Cu NPs is confirmed by UV-visible spectrophotometer（UV-Vis）,atomic force microscopy（AFM） and X-ray diffraction（XRD）.Cu NPs fabricated by laser ablation have diameter in the range from 14 to 55 *** analysis revealed the face-centered cubic（fcc） crystal structure of Cu *** antibacterial activity of Cu NPs has been evaluated in vitro against strains of Escherichia coli（***） and Staphylococcus aureus（***）.The fabricated Cu NPs show considerable antibacterial activity against both bacterial *** bacterial activity of Cu NPs was found to depend on the microbial species.

关键词： Laser-ablated nanoparticles UV-visible spectrophotometer Atomic force microscopy(AFM) Escherichia coli Staphylococcus aureus

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Radiative Blood-Based Hybrid Copper-Graphene Nanoliquid Flows along a Source-Heated Leaning Cylinder

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 1017-1037页

作者： Siti Nur Ainsyah ghani Noor Fadiya Mohd Noor Institute of Mathematical Sciences Faculty of ScienceUniversiti MalayaKuala Lumpur50603Malaysia Center for Data Analytics Consultancy&Services(UM-CDACS) Faculty of ScienceUniversiti MalayaKuala Lumpur50603Malaysia

Variant graphene,graphene oxides(GO),and graphene nanoplatelets(GNP)dispersed in blood-based copper(Cu)nanoliquids over a leaning permeable cylinder are the focus of this *** forms of graphene are highly beneficial in the biological and medical fields for cancer therapy,anti-infection measures,and drug *** non-Newtonian Sutterby(blood-based)hybrid nanoliquid flows are generalized within the context of the Tiwari-Das model to simulate the effects of radiation and heating *** governing partial differential equations are reformulated into a nonlinear set of ordinary differential equations using similar transformational *** equations are then transformed into boundary value problems through a shooting technique,followed by the implementation of the bvp4c tool in *** influences of various parameters on the model’s nondimensional velocity and temperature profiles,reduced skin friction,and reduced Nusselt number are presented for detailed *** results indicated that Cu-GNP/blood and Cu-GO/blood hybrid nanofluids exhibit the lowest and highest velocity distributions,respectively,for increased nanoparticles volume fraction,curvature parameter,Sutterby fluid parameter,Hartmann number,and wall permeability ***,opposite trends are observed for the temperature distribution for all considered parameters,except the mixed convection *** in the reduced skin friction magnitude and the reduced Nusselt number with higher values of graphene/GO/GNP nanoparticle volume fraction are also ***,GNP is identified as the superior heat conductor,with an average increase of approximately 5%and a peak of 7.8%in the reduced Nusselt number compared to graphene and GO nanoparticles in the Cu/blood nanofluids.

关键词： Hybrid nanofluid sutterby fluid tiwari-das model thermal radiation graphene graphene oxides graphene nanoplatelets

Kalman filter based on a fractional discrete-time stochastic augmented CoVid-19 model

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Journal of Biosafety and Biosecurity 2024年第2期6卷 76-98页

作者： Mohammad ghani Dwi Rantini Maryamah Data Science Technology Faculty of Advanced Technology and MultidisciplineUniversitas AirlanggaSurabaya 60115Indonesia

In this paper,we study the dynamics of the CoVid-19 outbreak in Semarang,Indonesia,using a fractional CoVid-19 *** first determine the effects of the isolation rateand infection rate b on the reproduction number R0 and infected number *** find that R0 is directly proportional to b and inversely proportional to.For V,the effect of physical distancing is not as significant as changing.Asincreases,V decreases,the number of susceptible individuals increases,the number of quarantined individuals decreases sharply,and the number of recovered individuals ***,the effect of vaccination is also *** combination of physical distancing,isolation,and vaccination has a significant impact on reducing the number of infected *** of dynamical systems allows us to understand the characteristics of our model,such as its boundedness and non-negativity,the existence of equilibrium points,the existence and uniqueness of solutions,and the local and global *** validate our fractional CoVid-19 model,we introduce the fractional extended Kalman filter(FracEKF)as a prediction method and compare the results against reported CoVid-19 *** is a modified version of the basic extended Kalman filter with a time-fractional memory *** prediction results illustrate the accuracy of this model in terms of the root mean square error(RMSE),normalized root mean square error(NRMSE),and mean absolute percentage error(MAPE)for each ***reproduces the trends observed in the reported data for the number of infected individuals,i.e.,whenincreases,the infected number ***,a higher fractional-order results in higher model ***,higher values of the process noise Qf give smaller errors,whereas higher values of the observation noise Rf produce higher *** and the fractional-order a are inversely proportional to RMSE;NRMSE,and MAPE,whereas Rf is directly proportional to RMSE;NRMSE,and MAPE

关键词： stability. fractional inverse

新型动态保温相变Trombe墙体热性能的实验研究

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太阳能学报 2024年第2期45卷 10-15页

作者：周世强 Razaqpur Abdul ghani 南开大学环境科学与工程学院天津300071

通过测试一间有一面是相变材料另一面是保温材料的新型动态Trombe墙体的房屋全尺寸模型,对该墙体的热性能进行实验研究。以墙体和房间的空气温度以及通过墙体的热流量和气流速率来评估其性能。结果表明:在相变过程中,温度变化相对平缓;... 详细信息

通过测试一间有一面是相变材料另一面是保温材料的新型动态Trombe墙体的房屋全尺寸模型,对该墙体的热性能进行实验研究。以墙体和房间的空气温度以及通过墙体的热流量和气流速率来评估其性能。结果表明:在相变过程中,温度变化相对平缓;墙体从玻璃获得的热量占其获得总热量的26.2%,且利用其储存的90.1%的热量对房间进行加热;在相变材料放热期间,该墙体可降低室内温度的分层且房间中部的温度至少比室外温度高3.2℃。

关键词：相变材料太阳能保温实验 Trombe墙

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Mn-based MXene with high lithium-ion storage capacity

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Nano Research 2024年第5期17卷 4181-4191页

作者： Yanyan Wu Dongqing Liu Xiaonan Wang Usman ghani Muhammad Asim Mushtaq Jinfeng Yang Huarui Sun Panagiotis Tsiakaras Xingke Cai School of Science and Ministry of Industry and Information Technology Key Laboratory of Micro-Nano Optoelectronic Information System Harbin Institute of Technology ShenzhenShenzhen 5180552 China Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuan 030006China Institute for Advanced Study Shenzhen UniversityShenzhen 518060China College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060China Laboratory of Alternative Energy Conversion Systems Department of Mechanical EngineeringSchool of EngineeringUniversity of ThessalyPedion Areos 38834Greece

3d-transition metal(Fe,Co,Ni,and Mn)-based MXene materials have been predicted to demonstrate exceptional electrochemical performance because of their good electrical conductivity and the presence of metallic atoms with multiple charge ***,until now,there have been no reports on MXenes based on Fe,Co,Ni,and Mn,due to the lack of 3d-metal-layered ***,we successfully synthesized the first 3d-transition metal-based MXenes,Mn_(2)CT_(x) by exfoliating a layered precursor derived from the anti-perovskite bulk *** as-prepared Mn_(2)CT_(x) MXene nanosheets were employed as anode materials in lithium-ion batteries,which exhibited stable storage capacity of 764.7 mAh·g^(-1) at 0.5 C,placing its storage capacities at an upper-middle level compared with other reported MXene materials as well as other Mn-based anode ***,this study opens a new avenue for MXene research by synthesizing 3d-transition metal-based MXenes for electrochemical applications.

关键词： Mn_(3)GaC Mn_(2)CT_(x) MXenes lithium-ion battery anode materials negative fading capacity

Dietary pyruvate targets cytosolic phospholipase A2 to mitigate inflammation and obesity in mice

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Protein & Cell 2024年第9期15卷 661-685页

作者： Sadaf Hasan Nabil ghani Xiangli Zhao Julia Good Amanda Huang Hailey Lynn Wrona Jody Liu Chuan-ju Liu Department of Orthopedic Surgery New York University Grossman School of MedicineNew YorkNY 10016United States Department of Medicine Division of Internal MedicineSaint Peter’s University HospitalRutgers UniversityNew BrunswickNJ 08901United States Cornell University IthacaNew YorkNYUnited States Department of Biomedical Engineering University of North Carolina Chapel HillChapel HillNC 27599United States New York University NY 14853United States Department of Cell Biology New York University Grossman School of MedicineNew YorkNY 10016United States Department of Orthopedics&Rehabilitation Yale University School of MedicineNew HavenCT 06510United States

Obesity has a multifactorial etiology and is known to be a state of chronic low-grade inflammation,known as *** state is associated with the development of metabolic disorders such as glucose intolerance and nonalcoholic fatty liver *** is a glycolytic metabolite and a crucial node in various metabolic ***,its role and molecular mechanism in obesity and associated complications are *** this study,we reported that pyruvate substantially inhibited adipogenic differentiation in vitro and its administration significantly prevented HFD-induced weight gain,white adipose tissue inflammation,and metabolic *** identify the target proteins of pyruvate,drug affinity responsive target stability was employed with proteomics,cellular thermal shift assay,and isothermal drug response to detect the interactions between pyruvate and its molecular ***,we identified cytosolic phospholipase A2(cPLA2)as a novel molecular target of pyruvate and demonstrated that pyruvate restrained diet-induced obesity,white adipose tissue inflammation,and hepatic steatosis in a cPLA2-dependent *** with global ablation of cPLA2 in mice showed that the protective effects of pyruvate were largely abrogated,confirming the importance of pyruvate/cPLA2 interaction in pyruvate attenuation of inflammation and ***,our study not only establishes pyruvate as an antagonist of cPLA2 signaling and a potential therapeutic option for obesity but it also sheds light on the mechanism of its ***’s prior clinical use indicates that it can be considered a safe and viable alternative for obesity,whether consumed as a dietary supplement or as part of a regular diet.

关键词： metabolic disease pyruvate cytosolic phospholipase obesity

Vision based intelligent traffic light management system using Faster R‐CNN

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 932-947页

作者： Syed Konain Abbas Muhammad Usman ghani Khan Jia Zhu Raheem Sarwar Naif R.Aljohani Ibrahim A.Hameed Muhammad Umair Hassan Department of Computer Science and Engineering University of Engineering and TechnologyLahorePakistan Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Normal UniversityJinhuaChina OTHEM Manchester Metropolitan UniversityManchesterUK Faculty of Computing and Information Technology King Abdulaziz UniversityJeddahSaudi Arabia Department of ICT and Natural Sciences Norwegian University of Science and Technology(NTNU)ÅlesundNorway

Transportation systems primarily depend on vehicular flow on roads. Developed coun-tries have shifted towards automated signal control, which manages and updates signal synchronisation automatically. In contrast, traffic in underdeveloped countries is mainly governed by manual traffic light systems. These existing manual systems lead to numerous issues, wasting substantial resources such as time, energy, and fuel, as they cannot make real‐time decisions. In this work, we propose an algorithm to determine traffic signal durations based on real‐time vehicle density, obtained from live closed circuit television camera feeds adjacent to traffic signals. The algorithm automates the traffic light system, making decisions based on vehicle density and employing Faster R‐CNN for vehicle detection. Additionally, we have created a local dataset from live streams of Punjab Safe City cameras in collaboration with the local police authority. The proposed algorithm achieves a class accuracy of 96.6% and a vehicle detection accuracy of 95.7%. Across both day and night modes, our proposed method maintains an average precision, recall, F1 score, and vehicle detection accuracy of 0.94, 0.98, 0.96 and 0.95, respectively. Our proposed work surpasses all evaluation metrics compared to state‐of‐the‐art methodologies.

关键词： access control artificial intelligence computer vision intelligent control

Enhancing Security and Privacy in Distributed Face Recognition Systems through Blockchain and GAN Technologies

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Computers, Materials & Continua 2024年第5期79卷 2609-2623页

作者： Muhammad Ahmad Nawaz Ul ghani Kun She Muhammad Arslan Rauf Shumaila Khan Javed Ali Khan Eman Abdullah Aldakheel Doaa Sami Khafaga School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu611731China Department of Computer Science University of Science&TechnologyBannu28100Pakistan Department of Computer Science University of HertfordshireHatfieldAL109ABUK Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

The use of privacy-enhanced facial recognition has increased in response to growing concerns about data securityand privacy in the digital age. This trend is spurred by rising demand for face recognition technology in a varietyof industries, including access control, law enforcement, surveillance, and internet communication. However,the growing usage of face recognition technology has created serious concerns about data monitoring and userprivacy preferences, especially in context-aware systems. In response to these problems, this study provides a novelframework that integrates sophisticated approaches such as Generative Adversarial Networks (GANs), Blockchain,and distributed computing to solve privacy concerns while maintaining exact face recognition. The framework’spainstaking design and execution strive to strike a compromise between precise face recognition and protectingpersonal data integrity in an increasingly interconnected environment. Using cutting-edge tools like Dlib for faceanalysis,Ray Cluster for distributed computing, and Blockchain for decentralized identity verification, the proposedsystem provides scalable and secure facial analysis while protecting user privacy. The study’s contributions includethe creation of a sustainable and scalable solution for privacy-aware face recognition, the implementation of flexibleprivacy computing approaches based on Blockchain networks, and the demonstration of higher performanceover previous methods. Specifically, the proposed StyleGAN model has an outstanding accuracy rate of 93.84%while processing high-resolution images from the CelebA-HQ dataset, beating other evaluated models such asProgressive GAN 90.27%, CycleGAN 89.80%, and MGAN 80.80%. With improvements in accuracy, speed, andprivacy protection, the framework has great promise for practical use in a variety of fields that need face recognitiontechnology. This study paves the way for future research in privacy-enhanced face recognition systems, emphasizingt

关键词： Facial recognition privacy protection blockchain GAN distributed systems