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Efficient Numerical Scheme for Solving Large System of Nonlinear Equations

Computers, Materials & Continua 2023年第3期74卷 5331-5347页

作者： Mudassir Shams Nasreen Kausar Shams Forruque Ahmed Irfan Anjum Badruddin Syed Javed Department of Mathematics and Statistics Riphah International UniversityI-14Islamabad44000Pakistan Department of Mathematics Yildiz Technical UniversityFaculty of Arts and ScienceEsenler34210IstanbulTurkey Science and Math Program Asian University for WomenChattogramBangladesh Mechanical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia

A fifth-order family of an iterative method for solving systems of nonlinear equations and highly nonlinear boundary value problems has been developed in this *** analysis demonstrates that the local order of convergence of the numerical method is *** computer algebra system CAS-Maple,Mathematica,or MATLAB was the primary tool for dealing with difficult problems since it allows for the handling and manipulation of complex mathematical equations and other mathematical *** numerical examples are provided to demonstrate the properties of the proposed rapidly convergent algorithms.A dynamic evaluation of the presented methods is also presented utilizing basins of attraction to analyze their convergence *** from visualizing iterative processes,this methodology provides useful information on iterations,such as the number of diverging-converging points and the average number of iterations as a function of initial *** numerous highly nonlinear boundary value problems and large nonlinear systems of equations of higher dimensions demonstrate the performance,efficiency,precision,and applicability of a newly presented technique.

关键词： Nonlinear equations convergence order boundary value problem computational time basins of attraction converging points

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Impact of Artificial Compressibility on the Numerical Solution of Incompressible Nanofluid Flow

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Computers, Materials & Continua 2023年第3期74卷 5123-5139页

作者： Tohid Adibi Shams Forruque Ahmed Seyed Esmail Razavi Omid Adibi Irfan Anjum Badruddin Syed Javed Department of Mechanical Engineering University of BonabBonabIran Science and Math Program Asian University for WomenChattogram4000Bangladesh School of Mechanical Engineering University of TabrizTabrizIran Energy Management Group Energy and Environment Research CenterNiroo Research InstituteTehranIran Mechanical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia

The numerical solution of compressible flows has become more prevalent than that of incompressible *** the help of the artificial compressibility approach,incompressible flows can be solved numerically using the same methods as compressible *** artificial compressibility scheme is thus widely used to numerically solve incompressible Navier-Stokes *** numerical method highly depends on its accuracy and speed of *** the artificial compressibility approach is utilized in several numerical simulations,the effect of the compressibility factor on the accuracy of results and convergence speed has not been investigated for nanofluid flows in previous ***,this paper assesses the effect of this factor on the convergence speed and accuracy of results for various types of *** improve the stability and convergence speed of time discretizations,the fifth-order Runge-Kutta method is applied.A computer program has been written in FORTRAN to solve the discretized equations in different Reynolds and Grashof numbers for various *** results demonstrate that the artificial compressibility factor has a noticeable effect on the accuracy and convergence rate of the *** optimum artificial compressibility is found to be between 1 and *** findings can be utilized to enhance the performance of commercial numerical simulation tools,including ANSYS and COMSOL.

关键词： Navier-Stokes equations incompressible flow artificial compressibility convergence rate convection flow

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Fluid Flow and Mixed Heat Transfer in a Horizontal Channel with an Open Cavity and Wavy Wall

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Intelligent Automation & Soft Computing 2023年第7期37卷 147-163页

作者： Tohid Adibi Shams Forruque Ahmed Omid Adibi Hassan Athari Irfan Anjum Badruddin Syed Javed Department of Mechanical Engineering University of BonabBonabIran Science and Math Program Asian University for WomenChattogramBangladesh Energy Management Group Energy and Environment Research CenterNiroo Research InstituteTehranIran Department of Mechanical Engineering Elm-o-Fann University College of Science and TechnologyUrmiaIran Mechanical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia

Heat exchangers are utilized extensively in different industries and ***,optimizing heat exchangers has been a major concern among *** various studies have been conducted to improve the heat transfer rate,the use of a wavy wall in the presence of different types of heat transfer mechanisms has not been *** study thus investigates the mixed heat transmission behavior of fluid in a horizontal channel with a cavity and a hot,wavy *** fluid flow in the channel is considered laminar,and the governing equations including continuity,momentum,and energy are all solved *** numerical solution is stabilized by using a first-order multi-dimensional characteristic-based scheme in combination with a fifth-order Runge-Kutta *** flow and heat transfer effects of varying Richardson numbers,Reynolds numbers,wave amplitude,wavelength,channel height,and cavity width are *** results indicate that the mean Nusselt number increases with an increase in Reynolds number,wave amplitude,and cavity width,while it decreases with an increase in Richardson number,wavelength,and channel *** minimum Nusselt number is calculated to be 0.7,whereas the maximum Nusselt number is *** Nusselt number has only increased by 40%in the higher depths of the cavity,despite the Richardson number being 10,000 times *** this figure increases to 130%at lower *** mean Nusselt number is thus significantly influenced by channel height and cavity *** influence of wave amplitude on the mean Nusselt number is twice that of wavelength.

关键词： Mixed heat transfer wavy wall horizontal channel open cavity numerical simulation

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Centering minority-serving institutions to counter dominant narratives about leadership identity development

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New directions for student leadership 2023年第178期2023卷 65-74页

作者： Natasha T Turman Lauren N Irwin Women in Science and Engineering Residence Program University of Michigan Ann Arbor Michigan USA. Higher Education and Student Affairs Program University of Iowa Iowa City Iowa USA.

This article focuses on Historically Black Colleges and Universities (HBCUs), Hispanic-Serving Institutions (HSIs), Tribal Colleges and Universities (TCUs), and Asian American and Native American Pacific Islander-Serving Institutions (AANAPISIs). These institution types are united by their commitments to racially and ethnically minoritized communities, expanding educational access, facilitating culturally affirming education, and developing collective and socially responsible leaders. As a counternarrative, the authors situate leadership identity development (LID) at Minority-Serving Institutions (MSIs) to decenter whiteness in leadership scholarship and enactment and to elevate MSIs and their impact on students' leader and leadership identity development (LID).

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Influential Mechanism of Perforation Parameters in Geothermal Fixed-Plane Perforation Recovery

SSRN

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SSRN 2023年

作者： Ma, Weiwu Yang, Chong Ahmed, Shames Forruque Liu, Gang School of Energy Science and Engineering Central South University Changsha410083 China Science and Math Program Asian University for Women Chattogram4000 Bangladesh

The fixed-plane perforation technology, which is derived from oil and gas production, offers remarkable advantages in inducing fracturing and increasing fracture volume, but its theoretical foundation incompatible with the practical application of hot dry rock (HDR). In this study, a coupled thermal-hydraulic-mechanical model is developed to reveal the influence of perforation parameters on fracturing results in an environment of HDR. The stress, temperature distribution and damage volume of the rock at different numerical levels of the perforation parameters are compared to characterize the mechanism of the effect of perforation parameters on the fracturing results. Under the experimental conditions, the results of the control experiments show that the EGS system achieves a high techno-economic performance when the injection angle is about 45°, the injection density is about 5 clusters/m, and the injection depth is about 2.0 m. The analysis of orthogonal results not only reveals the time-varying sensitivity of rock cracking to perforating parameters, but also reveals that the perforating spacing is crucial to the effect of perforating parameters on fracturing. The analysis of variance also indicates that the degree of influence of perforation parameters on fracture varies over time. The area of the perforation wall defines the fracturing efficiency in the early stage of fracturing;the volume of fluid-rock interaction space, determined by perforation spacing, controls the fracturing efficiency in the later stage of fracturing. The results of the orthogonal analysis considering the interactions demonstrate that the interactions between the perforation parameters have a negligible effect on the fracturing results compared to the perforation parameters. This research can be utilized to optimize perforation parameters for fixed-plane fracturing. © 2023, The Authors. All rights reserved.

关键词： Fracture

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IoT In Increasing Human to Machine Interactions in the Automobile Sector 1

IoT In Increasing Human to Machine Interactions in the Autom...

引用

1st International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2022

作者： Mindarta, Erwin Komara Kavitha, D. Poongundran, Mahizharuvi Priyadarshini, R. Sethu Ram, M. Moldabayeva, Magira Universitas Negeri Automotive Engineering Education Program Malang Indonesia School of Computer Science and Engineering Vellore Institute of Technology India Sri Meenakshi Government Arts College for Women Pg & Research Department of Computer Science Tamil nadu India School of Computer Science and Engineering College Vit Sr.Grade Ii Department Chennai India School of Engineering & Technology Department of Computer Science & Engineering Tirupati India International Education Corporation Department of Linguistics Almaty Kazakhstan

ISBN: (纸本)9781665497107

IoT technologies can facilitate machine-to-machine as well as human-to-machine interactions. Use of an automotive human-machine interface can help in exchanging information between vehicles and passengers or drivers. Organizations in automobile sector are using these technologies for providing their customers with seamless customer-experience, which has helped not only in enhancing profitability of the organization;however also in enhancing customer base. An advanced speech-recognition technology is used in the cars for automation of different functions that ensures extraordinary experience for a driver. This requires adoption of an advanced industrial user-interface that connects the human with the machine actively. Present study has analyzed the ways IoT has played a significant role in making human-to-machine interaction possible in automobile industry. In literature-review, different concepts and theories support the impact of IoT in improving human-machine interactions in automobile industry. This chapter has further analyzed the challenges related to the use of this technology. In methodology section of current study, the ways data has been collected in the study has been analyzed. In findings-section, objectives and variables of the study have been considered for designing relevant themes for providing proper insight into the effectiveness of IoT technologies in improving human -machine interactions in automobile industry. The findings section reveals that IoT usage in this industry can enhance customer-experience by improving human-machine interactions especially when using IoT-enabled cars. It has provided proper suggestions regarding the best ways of utilizing IoT in this sector while ensuring reduction of possible risks. © 2022 IEEE.

关键词： Automotive industry

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Corrigendum to "Effect of cell imprinting on viability and drug susceptibility of breast cancer cells to doxorubicin" [Acta Biomaterialia, 2020, 113, 119-129] (Acta Biomaterialia (2020) 113 (119–129), (S1742706120303287), (10.1016/***.2020.06.007))

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Acta Biomaterialia 2025年 198卷 571-572页

作者： Shahriyari, Fatemeh Janmaleki, Mohsen Sharifi, Shahriar Hesar, Milad Eyvazi Hoshian, Sasha Taghiabadi, Reza Razaghian, Ahmad Ghadiri, Majid Peirovi, Afshin Mahmoudi, Morteza Nezhad, Amir Sanati Khademhosseini, Ali Division of Engineering in Medicine Department of Medicine Brigham and Women's Hospital Harvard Medical School CambridgeMA United States Division of Health Sciences & Technology Harvard-Massachusetts Institute of Technology Massachusetts Institute of Technology CambridgeMA United States Department of Materials Engineering Faculty of Engineering Imam Khomeini International University Qazvin Iran Biomedical Engineering Graduate Program University of Calgary Canada Precision Health Program and Department of Radiology Michigan State University East LansingMI48824 United States RWTH Aachen University Templergraben 55 Aachen52062 Germany Department of Chemistry and Materials Science Aalto University School of Chemical Engineering Espoo Finland Department of Mechanical Engineering Faculty of Engineering Imam Khomeini International University Qazvin Iran Nano-Biotechnology Department Pasteur Institute of Iran Tehran Iran Departments of Bioengineering Chemical and Biomolecular Engineering and Radiological Sciences Center for Minimally Invasive Therapeutics California NanoSystems Institute University of California – Los Angeles Los AngelesCA United States Terasaki Institute for Biomedical Innovation Los AngelesCA United States

The authors regret to report that the images for panels h (Plain PDMS) and I (MCF7-imprinted PDMS) in Fig. 3 were mistakenly taken from the same dataset, resulting in the omission of the correct image in panel h for the Plain PDMS day 7 image. We sincerely apologize for this error. For an accurate representation, please see the corrected Fig. 3 provided here along with its original figure caption. This does not affect the validity of the statistical analyses or the overall conclusions drawn from the study. © 2025

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The Power of Internet of Things (IoT): Connecting the Dots with Cloud, Edge, and Fog Computing

arXiv

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arXiv 2023年

作者： Ahmed, Shams Forruque Shuravi, Shanjana Afrin, Shaila Rafa, Sabiha Jannat Hoque, Mahfara Gandomi, Amir H. Science and Math Program Asian University for Women Chattogram4000 Bangladesh Faculty of Engineering & Information Technology University of Technology SydneyNSW2007 Australia Óbuda University Budapest1034 Hungary

The Internet of Things (IoT) is regarded as an improved communication system that has revolutionized traditional lifestyles. To function successfully, IoT requires a combination of cloud, fog, and edge computing architectures. Few studies have addressed cloud, fog, and edge computing simultaneously, comparing them and their issues, although several studies have looked into ways of integrating IoT with either one or two computing systems. Thus, this review provides a thorough understanding of IoT integration with these three computing architectures, as well as their respective applications and limitations. It also highlights the advantages, unresolved issues, future opportunities and directions of IoT integration with the computing systems to advance the IoT. IoT can use the Cloud's almost limitless resources to overcome technology restrictions, such as data processing, storage, and transmission. While edge computing can outperform cloud computing in many circumstances, IoT and edge computing become increasingly integrated as IoT devices increase. Cloud computing also poses a few issues, including managing time-sensitive IoT applications like video gaming, simulation, and streaming, which can be addressed by fog computing integrated with IoT. Due to the proximity of fog computing resources to the edge, data transfers and communication delays to the cloud can be reduced as a result of combining the two. The integration of IoT with cloud, fog, and edge computing will create new business prototypes and opportunities. Since IoT has the potential to greatly enhance connectivity infrastructure as an inevitable component of the future internet, further study is needed before it can be fully *** Codes 68M11 © 2023, CC BY.

关键词： Internet of things

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Transplantation of human kidney organoids elicited a robust allogeneic response in a humanized mouse model

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Kidney International 2025年第6期107卷 1011-1016页

作者： Mon-Wei Yu, Samuel Choi, John Yongjoon Kady, Jamie De Cos, Marina Wong, Jenny S. King, Emily Younis, Nour Al Rahy, Nadim Al Chaar, Soltan Djebli, Houda Eskandari, Siawosh Samuel, Stephen Merhej, Tamara Sukumar, Nivedha Lin, Jia-Ren Chen, Jia-Yun Xu, Yilin Santagata, Sandro Weins, Astrid Yeung, Melissa Cravedi, Paolo Campbell, Kirk N. Lemos, Dario Bonventre, Joseph V. Brehm, Michael A. Azzi, Jamil Department of Medicine Nephrology Division Mount Sinai Hospital New York NY United States Department of Medicine Renal Division Brigham and Women's Hospital Harvard Medical School Boston MA United States Program in Molecular Medicine Diabetes Center of Excellence University of Massachusetts Chan Medical School Worcester MA United States Doctoral School of Science and Technology Lebanese University Beirut Lebanon Institute of Biological Science Faculty of Medical Sciences Mohammed VI Polytechnic University Benguerir Morocco Department of Biotechnology Northeastern University Boston MA United States Department of Systems Biology Harvard Medical School Boston MA United States Department of Pathology Brigham and Women's Hospital Harvard Medical School Boston MA United States Harvard Stem Cell Institute Cambridge MA United States Department of Medicine Division of Engineering in Medicine Brigham and Women's Hospital Harvard Medical School Boston MA United States

Human kidney organoids derived from embryonic stem cells (ESCs) or induced pluripotent stem cells (iPSCs) have become novel tools for studying various kidney pathologies. Here, we transplanted ESC-derived kidney organoids into humanized mice with a mature human adaptive immune system developed through thymic education. As judged by histology and immunophenotyping, the transplanted HLA-mismatched kidney organoids trigged a robust alloimmune response, characterized by a dense immune cell infiltrate and enhanced memory T cell phenotype in the allograft 30 days post-transplantation. Multiplexed immunofluorescence revealed expression of functional markers of various immune cell infiltrates in response to organoid allografts, mimicking the T cell-mediated rejection process in humans. This validated our model as a novel platform to study various therapeutic strategies to control alloimmunity. Splenocytes isolated from organoid-transplanted hosts showed an alloantigen-specific memory response against 2D kidney organoids ex vivo. Overall, our study indicates that transplanting kidney organoids in humanized mice may be a valuable tool for studying human allogeneic immunity. © 2025 International Society of Nephrology

关键词： human kidney organoids humanized mice model kidney transplantation

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The Future of Drug Delivery

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CHEMISTRY OF MATERIALS 2023年第2期35卷 359-363页

作者： Gao, Jingjing Karp, Jeffrey Langer, Robert Joshi, Nitin Center for Nanomedicine Department of Anesthesiology Perioperative and Pain Medicine Brigham and Women’s Hospital Boston Massachusetts 02115 United States Harvard Medical School Boston Massachusetts 02115 United States Harvard-MIT Program in Health Sciences and Technology MIT Cambridge Massachusetts 02139 United States Harvard Stem Cell Institute Cambridge Massachusetts 02138 United States Broad Institute of MIT and Harvard Cambridge Massachusetts 02142 United States Department of Chemical Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02142 United States Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge Massachusetts 02142 United States

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