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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

Arthroscopic Assessment of Intra-Articular Injury in Patients with Acute Unstable Malleolar Fracture

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Prediction of corrosion rate for friction stir processed WE43 alloy by combining PSO-based virtual sample generation and machine learning

Open Journal of Orthopedics（矫形学期刊） 2020年第8期

作者： noor mahazrinna hayadin Yi Hui Foo Vijay Babu Subramaniam Mohd Izani Ibrahim Mohd Asni Alias

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Journal of Magnesium and Alloys 2024年第4期12卷 1518-1528页

作者： Annayath Maqbool Abdul Khalad noor Zaman Khan Department of Mechanical Engineering National Institute of Technology SrinagarJ&K 190006India Department of Mechanical Engineering Indian Institute of TechnologyHyderabadSangareddyTelangana 502284India School of Engineering Deakin UniversityVictoria 3216Australia

The corrosion rate is a crucial factor that impacts the longevity of materials in different *** undergoing friction stir processing(FSP),the refined grain structure leads to a notable decrease in corrosion ***,a better understanding of the correlation between the FSP process parameters and the corrosion rate is still *** current study used machine learning to establish the relationship between the corrosion rate and FSP process parameters(rotational speed,traverse speed,and shoulder diameter)for WE43 *** Taguchi L27 design of experiments was used for the experimental *** addition,synthetic data was generated using particle swarm optimization for virtual sample generation(VSG).The application of VSG has led to an increase in the prediction accuracy of machine learning models.A sensitivity analysis was performed using Shapley Additive Explanations to determine the key factors affecting the corrosion *** shoulder diameter had a significant impact in comparison to the traverse speed.A graphical user interface(GUI)has been created to predict the corrosion rate using the identified *** study focuses on the WE43 alloy,but its findings can also be used to predict the corrosion rate of other magnesium alloys.

关键词： Corrosion rate Friction stir processing Virtual sample generation Particle swarm optimization Machine learning Graphical user interface

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Neural network study of the nuclear ground-state spin distribution within a random interaction ensemble

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Nuclear Science and Techniques 2024年第3期35卷 216-227页

作者： Deng Liu Alam noor A Zhen-Zhen Qin Yang Lei School of Mathematics and Physics Southwest University of Science and TechnologyMianyang 621010China School of Nuclear Science and Technology Southwest University of Science and TechnologyMianyang 621010China

The distribution of the nuclear ground-state spin in a two-body random ensemble(TBRE)was studied using a general classification neural network(NN)model with two-body interaction matrix elements as input features and the corresponding ground-state spins as labels or output *** quantum many-body system problem exceeds the capability of our optimized NNs in terms of accurately predicting the ground-state spin of each sample within the ***,our NN model effectively captured the statistical properties of the ground-state spin because it learned the empirical regularity of the ground-state spin distribution in TBRE,as discovered by physicists.

关键词： Neural network Two-body random ensemble Spin distribution of nuclear ground state

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MPDP: A Probabilistic Architecture for Microservice Performance Diagnosis and Prediction

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Computer Systems Science & Engineering 2024年第5期48卷 1273-1299页

作者： Talal H.noor Department of Computer Science College of Computer Science and EngineeringTaibah UniversityMadinah42353Saudi Arabia

In recent years,container-based cloud virtualization solutions have emerged to mitigate the performance gap between non-virtualized and virtualized physical ***,there is a noticeable absence of techniques for predicting microservice performance in current research,which impacts cloud service users’ability to determine when to provision or de-provision *** microservice performance poses challenges due to overheads associated with actions such as variations in processing time caused by resource contention,which potentially leads to user *** this paper,we propose,develop,and validate a probabilistic architecture named Microservice Performance Diagnosis and Prediction(MPDP).MPDP considers various factors such as response time,throughput,CPU usage,and othermetrics to dynamicallymodel interactions betweenmicroservice performance indicators for diagnosis and *** experimental data fromourmonitoring tool,stakeholders can build various networks for probabilistic analysis ofmicroservice performance diagnosis and prediction and estimate the best microservice resource combination for a given Quality of Service(QoS)*** generated a dataset of microservices with 2726 records across four benchmarks including CPU,memory,response time,and throughput to demonstrate the efficacy of the proposed MPDP *** validate MPDP and demonstrate its capability to predict microservice *** compared various Bayesian networks such as the Noisy-OR Network(NOR),Naive Bayes Network(NBN),and Complex Bayesian Network(CBN),achieving an overall accuracy rate of 89.98%when using CBN.

关键词： Cloud computing microservices monitoring performance QoS diagnosis prediction Bayesian network

Conservation laws,Lie symmetries,self adjointness,and soliton solutions for the Selkov–Schnakenberg system

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Communications in Theoretical Physics 2024年第2期76卷 29-44页

作者： Kashif Ali Aly R Seadawy Syed T R Rizvi noor Aziz Department of Mathematics COMSATS University IslamabadLahore CampusPakistan Mathematics Department Faculty of ScienceTaibah UniversityAl-Madinah Al-Munawarah41411Saudi Arabia

In this article,we explore the famous Selkov–Schnakenberg(SS)system of coupled nonlinear partial differential equations(PDEs)for Lie symmetry analysis,self-adjointness,and conservation ***,miscellaneous soliton solutions like dark,bright,periodic,rational,Jacobian elliptic function,Weierstrass elliptic function,and hyperbolic solutions of the SS system will be achieved by a well-known technique called sub-ordinary differential *** these results are displayed graphically by 3D,2D,and contour plots.

关键词： Selkov-Schnakenberg system Lie symmetry analysis conservation laws adjointness integrability

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Exploring the thermophysical properties of natural deep eutectic solvents for gas capture applications: a comprehensive review

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Green Chemical Engineering 2024年第3期5卷 307-338页

作者： Ahmad Al-Bodour noor Alomari Alberto Guti errez Santiago Aparicio Mert Atilhan Department of Chemical and Paper Engineering Western Michigan University Department of Chemistry University of Burgos Faculty of Sciences

With the intensifying challenge of global warming driven largely by anthropogenic activities, effective greenhouse gas capture techniques are critical. This paper focuses on the role of deep eutectic solvents(DES) as promising agents for such capture at the source. We review the key DES-based methods for greenhouse gas capture, drawing conclusions from a thorough analysis of the existing literature. In particular, we examine the effect of DES structure on gas solubilities and explore the mechanism of gas solubility in DES through molecular simulation. We present a synthesis of state-of-the-art results in this area, assessing the potential of DES as an alternative to current industrial gas capture methods. Furthermore, we propose future research directions for the design of novel DES tailored to more specific applications.

关键词： Global warming Climate change Deep eutectic solvents Gas capture Gas separation

IoT Smart Devices Risk Assessment Model Using Fuzzy Logic and PSO

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Computers, Materials & Continua 2024年第2期78卷 2245-2267页

作者： Ashraf S.Mashaleh noor Farizah Binti Ibrahim Mohammad Alauthman Mohammad Almseidin Amjad Gawanmeh School of Computer Sciences Universiti Sains MalaysiaPenangMalaysia Department Computer Center Al-Balqa Applied UniversitySaltJordan Department of Information Security Faculty of Information TechnologyUniversity of PetraAmmanJordan Department of Computer Science Tafila Technical UniversityTafilaJordan College of Engineering and IT University of DubaiDubaiUnited Arab Emirates

Increasing Internet of Things(IoT)device connectivity makes botnet attacks more dangerous,carrying catastrophic *** IoT botnets evolve,their dynamic and multifaceted nature hampers conventional detection *** paper proposes a risk assessment framework based on fuzzy logic and Particle Swarm Optimization(PSO)to address the risks associated with IoT *** logic addresses IoT threat uncertainties and ambiguities *** component settings are optimized using PSO to improve *** methodology allows for more complex thinking by transitioning from binary to continuous *** of expert inputs,PSO data-driven tunes rules and membership *** study presents a complete IoT botnet risk assessment *** methodology helps security teams allocate resources by categorizing threats as high,medium,or low *** study shows how CICIoT2023 can assess cyber *** research has implications beyond detection,as it provides a proactive approach to risk management and promotes the development of more secure IoT environments.

关键词： IoT botnet detection risk assessment fuzzy logic particle swarm optimization(PSO) cybersecurity interconnected devices

Pro-fertility effect of Ficus carica fruit extract in streptozotocin-induced male rats

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Asian pacific Journal of Reproduction 2024年第1期13卷 34-41页

作者： Mat noor Mahanem Subramaniam Puvaratnesh AbuBakar Umarqayum Shamsusah Nadia A Department of Biological Sciences and Biotechnology Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 BangiSelangorMalaysia Institute of Biological Sciences Faculty of ScienceUniversity Malaya50603 Kuala LumpurMalaysia Department of Earth Sciences and Environment Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaBangi 43600Malaysia

Objective:To explore the impact of Ficus carica fruit aqueous extract on fertility parameters in streptozotocin(STZ)-induced male ***:Twenty-four male Sprague-Dawley rats were divided into four different *** groups except a normal control group were induced with 50 mg/kg of streptozotocin(STZ)intravenously to induce diabetes.A positive control group was treated with an antidiabetic drug,metformin(500 mg/kg)whereas a negative control group remained untreated throughout the ***,another diabetic rat group received treatment with 400 mg/kg of aqueous Ficus carica fruit *** in the treatment group were administered Ficus carica fruit aqueous extract daily through forcefeeding via oral gavage for a 21-day *** included the sperm quality(count,motility and morphology),histology of the testes,serum testosterone and fasting blood glucose(FBG)***:The FBG level of the Ficus carica-treated rats exhibited a significant decrease compared to the negative control group(P<0.05).Sperm quality analysis also indicated that the aqueous Ficus carica extract had significant positive effects on sperm count and motility(P<0.05).The histology of the testes in Ficus caricatreated rats revealed an improved cell arrangement in the germinal cell ***,serum testosterone level showed an increment in the Ficus carica treatment group in comparison to the negative control ***:Our findings provide compelling evidence for the profertility and anti-hyperglycemic properties of aqueous Ficus carica fruit extract in diabetic-induced male rats.

关键词： Ficus carica fruit Male fertility parameter Diabetes mellitus Anti-hyperglicemic