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Fluid Dynamics & Materials Processing 2019年第3期15卷 207-231页

作者： md.shamshuddin C.Balarama Krishna Department of Mathematics Vaagdevi College of Engineering(Autonomous)WarangalTelanganaIndia Department of Mathematics S R Engineering College(Autonomous)WarangalTelanganaIndia

Mathematical model for an unsteady,incompressible,electrically conducting micropolar fluid past a vertical plate through porous medium with constant plate velocity has been investigated in the present *** absorption,Joulian dissipation,and first-order chemical reaction is also *** the assumption of low Reynolds number,the governing transport equations are rendered into non-dimensional form and the transformed first order differential equations are solved by employing an efficient finite element *** of various flow parameters on linear velocity,microrotation velocity,temperature,and concentration are presented *** effects of heat absorption and chemical reaction rate decelerate the flow is particularly near the *** friction and wall couple stress increases as heat absorption increases but the reverse phenomenon is observed in the case of chemical reaction *** mass transfer rate increases for chemical reaction and Sherwood number increases for heat *** element study is very versatile in simulating unsteady micropolar rheo-materials processing transport ***,a relatively simple reaction effects restricted to first order.

关键词： Heat absorption joule heating chemical reaction micropolar fluid finite element method

Status and prospects for symmetric organic redox flow batteries

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Journal of Energy Chemistry 2025年第1期100卷 125-143页

作者： md Al Raihan C.Adam Dyker Department of Chemistry University of New BrunswickFrederictonNB E3B 5A3Canada

As environmental concerns from fossil fuel consumption intensify,large-scale energy storage becomes imperative for the integration of renewable sources like wind,hydro,and solar with the electrical *** flow batteries,particularly those employing organic molecules,are positioned as a key technology for this *** review explores the growing field of symmetric organic redox flow batteries(ORFBs)within this *** traditional asymmetric designs based on unique active materials for each electrode,symmetric ORFBs involve a single bipolar species for both *** review highlights the benefits of a symmetric design,and categorizes five distinct classes of organic bipolar molecules used in both aqueous and non-aqueous *** providing a comprehensive overview of their cell cycling and performance characteristics,the strengths and weaknesses of the diverse categories of bipolar molecules are highlighted for both solvent systems,as are opportunities for future *** should guide new research directions and advance the development of practical symmetric ORFBs.

关键词： Redox flow battery Symmetric battery Organic battery Aqueous electrolyte Non-aqueousel ectrolyte

Regeneration mechanisms and therapeutic strategies for neuromuscular junctions in aging and diseases

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Neural Regeneration Research 2025年第1期20卷 193-194页

作者： Masashi Fujitani Abu md Mamun Tarif Yoshinori Otani Department of Anatomy and Neuroscience Faculty of MedicineShimane UniversityShimaneJapan

The neuromuscular junction(NMJ)is an essential synaptic structure composed of motor neurons,skeletal muscles,and glial cells that orchestrate the critical process of muscle contraction(Li et al.,2018).The typical NMJ structure is classically described as having a“pretzel-like”shape in mice(Figure 1),whereas human NMJs have a smaller,fragmented structure throughout *** NMJs exhibit smaller or fragmented endplates,partial denervation,reduced numbers of synaptic vesicles,abnormal presynaptic mitochondria,and dysfunctional perisynaptic Schwann cells(Alhindi et al.,2022).

关键词： aging structure Figure

Steel Surface Defect Detection Using Learnable Memory Vision Transformer

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Computers, Materials & Continua 2025年第1期82卷 499-520页

作者： Syed Tasnimul Karim Ayon Farhan md.Siraj Jia Uddin Department of Computer Science and Engineering BRAC UniversityDhaka1212Bangladesh Department of AI and Big Data Endicott CollegeWoosong UniversityDaejeon34606Republic of Korea

This study investigates the application of Learnable Memory Vision Transformers(LMViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as other transformer-based models including Token to Token ViT,ViT withoutmemory,and Parallel *** awidely-used steel surface defect dataset,the research applies data augmentation and t-distributed stochastic neighbor embedding(t-SNE)to enhance feature extraction and *** techniques mitigated overfitting,stabilized training,and improved generalization *** LMViT model achieved a test accuracy of 97.22%,significantly outperforming ResNet18(88.89%)and ResNet50(88.90%),aswell as the Token to TokenViT(88.46%),ViT without memory(87.18),and Parallel ViT(91.03%).Furthermore,LMViT exhibited superior training and validation performance,attaining a validation accuracy of 98.2%compared to 91.0%for ResNet 18,96.0%for ResNet50,and 89.12%,87.51%,and 91.21%for Token to Token ViT,ViT without memory,and Parallel ViT,*** findings highlight the LMViT’s ability to capture long-range dependencies in images,an areawhere CNNs struggle due to their reliance on local receptive fields and hierarchical feature *** additional transformer-based models also demonstrate improved performance in capturing complex features over CNNs,with LMViT excelling particularly at detecting subtle and complex defects,which is critical for maintaining product quality and operational efficiency in industrial *** instance,the LMViT model successfully identified fine scratches and minor surface irregularities that CNNs often *** study not only demonstrates LMViT’s potential for real-world defect detection but also underscores the promise of other transformer-based architectures like Token to Token ViT,ViT without memory,and Parallel ViT in industrial scenarios where complex spatial relationships are *** research m

关键词： Learnable Memory Vision Transformer(LMViT) Convolutional Neural Networks(CNN) metal surface defect detection deep learning,computer vision image classification learnable memory gradient clipping label smoothing t-SNE visualization

Numerical study of a dissipative micropolar fluid flow past an inclined porous plate with heat source/sink

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Propulsion and Power Research 2019年第1期8卷 56-68页

作者： shamshuddin md Thirupathi Thumma Department of Mathematics.Vaagdevi College of Engineering.Warangal Telangana 506005India Department of Mathematics B V Raju Institute of Technology Narsapur.MedakTelangana 502313India

Micropolar theories present an excellent mechanism for exploring new non-Newtonian materials processing provides a stimulating area for process engineering *** by area for process engineering applications,the present article presents the scope offinite element method in solving a mathematical model for magnetohydrodynamic,incom-pressible,dissipative and chemically reacting micropolar fluid flow and heat and mass transferthrough a porous medium from an inclined plate with heat sourcelsink has been *** this purpose,the set of governing equations have been reframed and put into adimensionless form under the assumption of low Reynolds number with appropriatedimensionless quantities that can fit into the finite element *** addition tohighlighting the operational aspects of weighted residual scheme,a detailed investigation hasbeen camied out on the associated flow stnucture,heat and mass *** evolution ofmany multi-physical parameters in these variables is illustrated *** elementcode is benchmarked with the results reported in the literature to check the validity andaccuracy under some limiting cases and excellent agreement is seen with published solutionsand results of skin friction coefficient,couple stress coefficient,Nusselt number and Sherwoodnumber for invoked parameter are tabulated which shows that increasing heat sourcelsinkparameter elevates *** reaction parameter reduces velocity and concentra-tion *** number enhances as chemical reaction parameter increases but reverse phenomena is observed in case of inclination of ***,a gridindependency test has been caried out for different grid sizes which has proven this methodis adequate.

关键词： Heat source/sink Chemical reaction Inclined porousplate Micropolar fluid Finite elementmethod(FEM)

Optimizing BERT for Bengali Emotion Classification: Evaluating Knowledge Distillation, Pruning, and Quantization

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Computer Modeling in Engineering & Sciences 2025年第2期142卷 1637-1666页

作者： md Hasibur Rahman Mohammed Arif Uddin Zinnat Fowzia Ria Rashedur M.Rahman Department of Electrical and Computer Engineering North South UniversityDhaka1229Bangladesh

The rapid growth of digital data necessitates advanced natural language processing(NLP)models like BERT(Bidi-rectional Encoder Representations from Transformers),known for its superior performance in text ***,BERT’s size and computational demands limit its practicality,especially in resource-constrained *** research compresses the BERT base model for Bengali emotion classification through knowledge distillation(KD),pruning,and quantization *** Bengali being the sixth most spoken language globally,NLP research in this area is *** approach addresses this gap by creating an efficient BERT-based model for Bengali *** have explored 20 combinations for KD,quantization,and pruning,resulting in improved speedup,fewer parameters,and reduced memory *** best results demonstrate significant improvements in both speed and *** instance,in the case of mBERT,we achieved a 3.87×speedup and 4×compression ratio with a combination of Distil+Prune+Quant that reduced parameters from 178 to 46 M,while the memory size decreased from 711 to 178 *** results offer scalable solutions for NLP tasks in various languages and advance the field of model compression,making these models suitable for real-world applications in resource-limited environments.

关键词： Bengali NLP black-box distillation emotion classification model compression post-training quantization unstructured pruning

Ru/NiMnB spherical cluster pillar for highly proficient green hydrogen electrocatalyst at high current density

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Journal of Energy Chemistry 2025年第1期100卷 397-408页

作者： md Ahasan Habib Shusen Lin Mehedi Hasan Joni Sumiya Akter Dristy Rutuja Mandavkar Jae-Hun Jeong Jihoon Lee Department of Electronic Engineering College of Electronics and InformationKwangwoon UniversityNowon-guSeoul 01897Republic of Korea

Advanced OER/HER electrocatalytic alternatives are crucial for the wide adaptation of green hydrogen ***,Ru/NiMnB spherical cluster pillar(SCP),denoted as Ru/NiMnB,is synthesized using a combination of electro-deposition and hydrothermal *** investigation of Ru doping in the NiMnB matrix revealed significant improvements in electrocatalytic *** Ru/NiMnB SCPs demonstrate superior OER/HER activity with low overpotentials of 150 and 103 mV at 50mA/cm^(2)in 1 M KOH,making them highly competitive with state-of-the-art ***,the Ru/NiMnB SCPs exhibit a low 2-E cell voltage of 2.80 V at ultra-high current density of 2,000 m A/cm^(2)in 1 M KOH,outperforming the standard benchmark electrodes of RuO_(2)||Pt/C,thereby positioning Ru/NiMnB as one of the best bifunctional *** SCPs exhibit exceptional high-current characteristics,stability and corrosion resistance,as evidenced by continuous operation at 1,000 mA/cm^(2)high-current density for over 150 h in 6 M KOH at elevated temperatures under harsh industrial *** a small amount of Ru incorporation significantly enhances the electrocatalytic performances of NiMnB,attributed to increased active sites and improved intrinsic properties such as conductivity,adsorption/desorption capability and reaction ***,Ru/NiMnB SCPs present a promising bi-functional electrode concept for efficient green H_(2)production.

关键词： Advanced electrocatalyst High current Corrosion resistance Industrial requirement

Ternary Hybrid Nanofluid with First and Second Order Velocity Slips: Dual Solutions with Stability Analysis

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Computer Modeling in Engineering & Sciences 2025年第2期142卷 1865-1881页

作者： Nur Syahirah Wahid Nor Ain Azeany Mohd Nasir Norihan md Arifin Ioan Pop Department of Mathematics and Statistics Faculty of ScienceUniversiti Putra Malaysia(UPM)Serdang43400Malaysia Department of Mathematics Centre for Defence Foundation StudiesUniversiti Pertahanan Nasional MalaysiaKuala Lumpur57000Malaysia Institute for Mathematical Research Universiti Putra Malaysia(UPM)Serdang43400Malaysia Department of Mathematics Babes-Bolyai UniversityCluj-Napoca400084Romania Academy of Romanian Scientists Bucharest050044Romania

Modeling the boundary layer flow of ternary hybrid nanofluids is important for understanding and optimizing their thermal performance,particularly in applications where enhanced heat transfer and fluid dynamics are *** study numerically investigates the boundary layer flow of alumina-copper-silver/water nanofluid over a permeable stretching/shrinking sheet,incorporating both first and second-order velocity *** mathematical model is solved in MATLAB facilitated by the bvp4c function that employs the finite difference scheme and Lobatto IIIa *** solver successfully generates dual solutions for the model,and further analysis is conducted to assess their *** findings reported that only one of the solutions is *** the shrinking sheet case,increasing the first-order velocity slip delays boundary layer separation and enhances heat transfer,while,when the sheet is stretched,the second-order velocity slip accelerates separation and improves heat *** layer separation is most likely to occur when the sheet is shrinking;however,this can be controlled by adjusting the velocity slip with the inclusion of boundary layer suction.

关键词： Boundary layer ternary hybrid nanofluid stretching/shrinking velocity slip

A Study on Edge Segmentation of Different Types of Datasets with Multiple Algorithms

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Journal of Computer and Communications 2025年第1期13卷 125-135页

作者： Faruque Hossain Mozumder md. Sahidul Islam md. Omar Faruq Masum Miah md. Abdul Mannan ICT Division Jamuna Bank PLC. Dhaka Bangladesh Department of Physics Govt. H. S. S College Magura Bangladesh Department of Mathematics Uttara University Dhaka Bangadesh

In this paper, we study edge detection or segmentation, which is recognized as a rudiment innovation as it can evaluate sharpness and analyze object boundaries. That’s the reason it has been an influential figure in the image-processing era. Because of this, it has a significant influence in the age of image processing. On the other hand, edge detection is the process of dividing an image into discontinuous regions. It specifies the intensity shift connected to the image’s edge. There are several methods for detecting edges. Four edge identification methods on satellite images and satellite images affected by Gaussian noise were examined. Known edge detection technologies such as Canny, Prewitt, Scharr, and Robert operators are included in this study. Additionally, the key feature of an image for evaluating its quality is the Image Quality Assessment (IQA) measure. We primarily take into account SSIM, MSE, PSNR, and RMSE when assessing image quality. Experimental validation has been obtained for the application of the Canny and Prewitt algorithms to the satellite dataset. However, when the Gaussian Noise effect is added to the same dataset, clever edge detection performs better.

关键词： SSIM MSE PSNR RMSE

Rhabdomyolysis-related acute kidney injury in COVID-19:A critical concern

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World Journal of Virology 2025年第1期14卷 127-129页

作者： md Safiullah Sarker Virology Laboratory Infectious Diseases DivisionDhaka 1212Bangladesh

Rhabdomyolysis is a severe condition characterized by the breakdown of muscle tissue leading to the release of intracellular components into the *** condition,when associated with acute kidney injury(AKI),can result in significant morbidity and mortality,particularly in the context of coronavirus disease 2019(COVID-19).This editorial discusses a retrospective study on patients with COVID-19 who developed rhabdomyolysis-related *** study highlights that patients with rhabdomyolysis exhibited higher inflammatory markers,such as Creactive protein,ferritin,and procalcitonin,and experienced worse clinical outcomes compared to those with other causes of *** findings underscore the importance of early recognition and management of rhabdomyolysis in COVID-19 patients to improve prognosis and reduce mortality rates.

关键词： Rhabdomyolysis Acute kidney injury COVID-19 SARS-CoV-2 Creatine kinase Inflammation Prognosis Mortality