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Understanding cell-extracellular matrix interactions for topology-guided tissue regeneration

BIOCELL 2023年第4期47卷 789-808页

作者： AAYUSHI RANDHAWA SAYAN DEB DUTTA KEYA GANGULY TEJAL V.PATIL RACHMI LUTHFIKASARI KI-TAEK LIM Department of Biosystems Engineering Kangwon National UniversityChuncheon24341Korea Interdisciplinary Program in Smart Agriculture Kangwon National UniversityChuncheon24341Korea

Tissues are made up of cells and the extracellular matrix(ECM)which surrounds *** cells and tissues are actively adaptable to enduring significant stress that occurs in daily *** astonishing mechanical stress develops due to the interaction between the live cells and the non-living *** in the matrix microenvironment can sense the signals and forces produced and initiate a signaling cascade that plays a crucial role in the body’s normal functioning and influences various properties of the native cells,including growth,proliferation,and ***,the matrix’s characteristic features also impact the repair and regeneration of the damaged *** current study reviewed how the cell-ECM interaction regulates cellular behavior and physicochemical ***,we have described the response of cells to mechanical stresses,the importance of substrate stiffness and geometry in tissue regeneration,and the development of scaffolds to mimic the nature of native ECM in 3D for tissue engineering applications has also been ***,the study summarizes the conclusions and promising prospects based on the cell-ECM interplay.

关键词： ECM Stress Mechanical force Scaffold Mechanotransduction Tissue engineering

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A Single DC Link Four Level Multilevel Inverter with Increased DC Bus Utilization for Drives 50

A Single DC Link Four Level Multilevel Inverter with Increas...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Pottekkat, Rohith Vivek, R.S. Gopakumar, K. Umanand, L. Subba Reddy, B. Franquelo, Leopoldo G. Interdisciplinary Centre for Energy Research Indian Institute of Science Bangalore India Department of Electrical Engineering College of Engineering Trivandrum Thiruvananathapuram India Department of Electronic Systems Engineering Indian Institute of Science Bangalore India

ISBN: (纸本)9781665464543

The paper proposes a low switch count multilevel inverter topology having a four-level space vector structure. The proposed MLI demonstrates a reduced number of active switches in relation to the number of output voltage levels. This inverter has an increased DC bus utilization, reaching up to 0.637 times the DC link voltage compared to the conventional multilevel inverters limited to 0.577 times the DC link voltage. The proposed multilevel inverter configuration integrates a two-level inverter with a cascaded H-bridge (CHB) converter in each phase. The each CHB capacitor voltage are regulated to one third of dc link voltage. The enhanced utilization of the DC bus voltage is due to the space vector redundancies provided by the CHB units. Both simulation and experimental validation of the proposed scheme are conducted on an induction motor drive across for various operating conditions. Field-oriented control (FOC) is employed to control the speed of the induction machine, while examining capacitor balancing under various transient conditions. © 2024 IEEE.

关键词： Induction motors

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Compound Product of Hypermatrices

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Journal of systems Science & Complexity 2024年第1期37卷 169-183页

作者： CHENG Daizhan MENG Min ZHANG Xiao JI Zhengping Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China Department of Control Science and Engineering School of Electronics and Information EngineeringTongji UniversityShanghai 201210China National Center for Mathematics and Interdisciplinary Sciences Chinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100149China.

The semi-tensor product(STP)of matrices is generalized to multidimensional arrays,called the compound product of *** product is first defined for three-dimensional hypermatrices with compatible orders and then extended to general *** different types of hyperdeterminants are introduced and certain properties are *** Lie groups and Lie algebras corresponding to the hypermatrix products are ***,these results are applied to dynamical systems.

关键词： Compound semi-tensor product hyperdeterminants hypereigenvalues and hypereigenvectors hypergeneral linear groups hypermatrices.

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Recent progress on Sn_(3)O_(4)nanomaterials for photocatalytic applications

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International Journal of Minerals,Metallurgy and Materials 2024年第2期31卷 231-244页

作者： Xin Yu Congcong Li Jian Zhang Lili Zhao Jinbo Pang Longhua Ding Institute for Advanced Interdisciplinary Research(iAIR) School of Chemistry and Chemical EngineeringUniversity of JinanJinan 250022China School of Sino-German Engineering Shanghai Technical Institute of Electronics and InformationShanghai 201411China Division of Systems and Synthetic Biology Department of Life SciencesChalmers University of Technology41296 GöteborgSweden

Tin(IV)oxide(Sn_(3)O_(4))is layered tin and exhibits mixed valence *** has emerged as a highly promising visible-light pho-tocatalyst,attracting considerable *** comprehensive review is aimed at providing a detailed overview of the latest advance-ments in research,applications,advantages,and challenges associated with Sn_(3)O_(4)photocatalytic *** fundamental con-cepts and principles of Sn_(3)O_(4)are ***_(3)O_(4)possesses a unique crystal structure and optoelectronic properties that allow it to ab-sorb visible light efficiently and generate photoexcited charge carriers that drive photocatalytic ***,strategies for the control and improved performance of Sn_(3)O_(4)photocatalytic nanomaterials are *** control,ion doping,and hetero-structure construction are widely employed in the optimization of the photocatalytic performance of Sn_(3)O_(4)*** effective imple-mentation of these strategies improves the photocatalytic activity and stability of Sn_(3)O_(4)***,the review explores the diverse applications of Sn_(3)O_(4)photocatalytic nanomaterials in various fields,such as photocatalytic degradation,photocatalytic hydro-gen production,photocatalytic reduction of carbon dioxide,solar cells,photocatalytic sterilization,and optoelectronic *** discus-sion focuses on the potential of Sn_(3)O_(4)-based nanomaterials in these applications,highlighting their unique attributes and ***,the review provides an outlook on the future development directions in the field and offers guidance for the exploration and de-velopment of novel and efficient Sn_(3)O_(4)-based *** the identification of emerging research areas and potential avenues for improvement,this review aims to stimulate further advancements in Sn_(3)O_(4)-based photocatalysis and facilitate the translation of this promising technology into practical applications.

关键词： photocatalysis Sn_(3)O_(4)nanomaterials building heterostructures antibacterial therapy water splitting

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Mesenchymal stem cells,the secretome and biomaterials:Regenerative medicine application

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BIOCELL 2022年第10期46卷 2201-2208页

作者： KI-TAEK LIM TEJAL V.PATIL DINESH KPATEL SAYAN DEB DUTTA KEYA GANGULY AAYUSHI RANDHAWA Department of Biosystems Engineering Interdisciplinary Program in Smart AgricultureKangwon National UniversityChuncheon341Korea

Mesenchymal stem cells(MSCs)are multipotent cells usually isolated from bone marrow,endometrium,adipose tissues,skin,and dental *** played a crucial role in regenerative therapy and have been introduced as an interdisciplinary field between cell biology and material ***,MSCs have been widely explored for their application in regenerative medicine and COVID-19 *** approaches to evaluate the future of biomaterials and stem cell properties have been ***,misconceptions and ethical issues still exist,such as MSCs being non-angiogenic,anti-apoptotic,and immunoregulatory *** stem cells isolation primarily requires the consent of donors and can include the killing of fertilized *** issues generate questions related to ethical and moral ***,MSCs have gained considerable attention for tissue regeneration owing to their differentiation ability with immunomodulatory *** are capable of secreting a broad range of biomolecules such as proteins,nucleic acids,exosomes,microRNAs,and membrane vesicles,collectively known as *** are released in response to the surrounding *** this article,we briefly address topics related to the therapeutic potential of MSCs as an advanced approach in the field of regenerative medicine and various perspectives.

关键词： Mesenchymal Stem Cells Secretome Biomaterials Regenerative Medicine

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Sub-optimal Perceptron Controller Using WOA Algorithm for Farming Watering Mobile Robot

Sub-optimal Perceptron Controller Using WOA Algorithm for Fa...

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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Pastrana, M.A. Oliveira, L.H. Bautista, J. Pinto-Lopera, Jesus Mendoza-Penaloza, Jose Munoz, Daniel M. University of the Amazonia Faculty of Engineering Systems Undergraduate Program Florencia Caquetá Colombia University of Brasilia Mechatronics Graduate Program Department of Mechanical Engineering Brasilia Brazil University of Brasilia Faculty of Gama Electronics Engineering Undergraduate Program Brasilia Brazil

ISBN: (纸本)9798350374575

Artificial neural networks (ANNs) are intricate mathematical models, drawing inspiration from the biological nervous system, and offering intelligence alongside nonparametric capabilities. The efficacy of ANNs heavily relies on their learning process. Heuristic search algorithms have been proposed in literature as reliable options for optimizing neural networks utilizing the Perceptron architecture. This paper presents an suboptimal neural network Perceptron training method employing the Whale Optimization Algorithm for the application of farming watering mobile robots. To achieve this, a fitness function based on system responses such as overshoot, settling Time, and steady-state Error was developed. The sub-optimal Perceptron controller was then implemented using MATLAB, CoppeliaSim software and the EVA robot, resulting in a 66.17% overshoot, a 4.7% steady-state error, and a settling time of 3.05 seconds. Moreover, the sub-optimal Perceptron controller was mapped onto a System on Chip FPGA AMD-Xilinx Zynq 7020, resulting in a hardware resources consumption of 1,870 (3.52%) Lookup table, 2 (0.9%) Digital Signal Processing blocks, 1,019 (0.96%) Flip-Flops and a power consumtion of 0.005 W. Finally, Hardware-in-The-Loop validation was performed using CoppeliaSim, Python, Universal Direct Memory Access, and the EVA robot. The results showed an overshoot of 94.83%, a settling time of 2 seconds, and a steady-state error of 4.5%. © 2024 IEEE.

关键词： MATLAB

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Data-Driven Power Flow Estimation for MVDC Distribution systems Based on Physics-Embedded FCN

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IEEE Transactions on Smart Grid 2025年第4期16卷 2816-2829页

作者： Sun, Pingyang Wu, Rongcheng Shen, Zhiwei Wang, Hongyi Li, Gen Khalid, Muhammad Konstantinou, Georgios School of Electrical Engineering and Telecommunications UNSW Sydney Australia University of Technology Sydney Data Science Institute Australia Aalborg University Department of AAU energy Denmark Energy Technology and Computer Science Section Department of Engineering Technology Ballerup2750 Denmark King Fahd University of Petroleum and Minerals Electrical Engineering Department Interdisciplinary Research Center for Sustainable Energy Systems Dhahran31261 Saudi Arabia

Maintaining high prediction accuracy with varying grid topologies poses a significant challenge to adopting neural network (NN)-based approaches for power flow (PF) estimation in medium-voltage direct current (MVDC) distribution systems. This paper proposes a physics-embedded fully convolutional network (PEFCN) to improve the accuracy. Physics-embedded techniques are incorporated in the proposed PEFCN through 1) architecture reconstruction, and 2) loss function reformulation. Architecture is reconstructed by input channel conversion calculation in a new physics operation layer. This process offers physical connections among the three input matrix channels (voltage, current, and line conductance). Three new physics loss terms are included in the loss function to restrict the outliers violating the limits of converter power ratings and terminal MVDC voltages. The two operations enable the FCN to achieve improved prediction accuracy and strong generalization capabilities. Five MVDC distribution systems, characterized by different dc voltage levels and topology configurations, serve to validate the superiority of the proposed PEFCN over other NNs in the PF estimation for scenarios involving both fixed and varying system structures. Moreover, a modified IEEE 69-bus distribution system is further used to demonstrate the applicability of the proposed PEFCN for larger systems. © 2010-2012 IEEE.

关键词： DC distribution systems

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Optimizing Classroom Assignments to Reduce Non-essential Interactions Among University-Level Students During Pandemics 6th

Optimizing Classroom Assignments to Reduce Non-essential In...

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6th International Conference on Dynamics of Information systems, DIS 2023

作者： Syed, Mujahid N. Department of Industrial and Systems Engineering Interdisciplinary Research Center for Intelligent Secure Systems King Fahd University of Petroleum and Minerals Dhahran31261 Saudi Arabia

ISBN: (纸本)9783031503191

Academic sectors involve students from multiple origins, multiple social circles, and different health conditions. During pandemics like COVID-19, a key challenge is to reduce non-essential interactions among students while they are at school/university. In this work, we focus on interactions that occur when university level students move between consecutive classes. Specifically, the interactions that arise during the movements of students between different university buildings via buses or cars. These types of movements are very critical during the pandemic because they are inevitable, and they occur simultaneously as well as periodically within small time window (10 to 15 min). Movement via buses is a hot spot for spreading viral diseases like COVID-19. Furthermore, high usage of cars/bikes during the 10 to 15 min class interval results in high traffic on campus roads, which in-turn leads to longer travel times of the buses (due to the road congestion). Nevertheless, having consecutive classes within walk-able range may reduce the above interactions. To sum, careful assignment of classrooms to courses reduces the above non-essential interactions. In this work, we present an mathematical modeling based approach that assigns classroom locations to courses such that the overall interactions are minimized. Specifically, we propose a novel mixed integer program (MIP) that minimizes the above interactions and incorporates behavior of the students. Numerical example is provided to showcase the implementation and effectiveness of the proposed MIP. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Students

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Arabic text sentiment analysis and emotion classification using transformers 11

Arabic text sentiment analysis and emotion classification us...

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11th International Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2023

作者： Mossad, Nada Mohamed, Youssef Fares, A. Zaky, Ahmed B. Alexandria21934 Egypt Benha University The Computer Systems Engineering Program Faculty of Engineering at Shoubra The Department of Electrical Engineering Egypt

ISBN: (纸本)9798350369328

Sentiment analysis and emotion classification are two crucial components of natural language processing (NLP), which have been widely explored in recent years due to their broad applications. Sentiment analysis aims to identify the polarity of written texts, ranging from positive to negative. Meanwhile, emotion classification is focused on recognizing and categorizing the emotional states expressed in the text. To achieve a deeper understanding of sentiments and emotions, it's essential to utilize models like BERT transformers that can effectively interpret the context. The process begins with data preprocessing, including tokenization and noise removal, followed by fine-tuning techniques to adapt the BERT model to the proposed tasks. We employed the BERT model on four datasets obtained from various sources, including Twitter, news websites, and restaurant reviews, where each dataset represents a distinct Arabic dialect. Our proposed model outperforms commonly used techniques like LSTM and CNN, yielding superior results. Despite the progress made, there are still challenges to overcome, such as dealing with Arabic diacritics, the new Arabic Arabizi, which uses Latin characters, and handling Arabic idioms. Further research is required to address these challenges adequately. © 2023 IEEE.

关键词： Sentiment analysis

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Comparative analysis of bioinspired algorithms for tuning a flatness-based controller: A ball and beam case study

Comparative analysis of bioinspired algorithms for tuning a ...

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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Pastrana, M.A. Filho, Jose Oniram De A. Limaverde Oliveira, Luiz Henrique Bautista, Jaider Fortaleza, Eugenio Munoz, Daniel M. Department of Mechanical Engineering Brasília Brazil University of Brasília Department of Electrical Engineering Brasília Brazil University of the Amazonia Faculty of Engineering Systems Undergraduate Program Florencia Colombia

ISBN: (纸本)9798350374575

This paper provides a comprehensive comparative analysis of the performance of four bioinspired algorithms (Differential Evolution, Grasshopper Optimization Algorithm, Moth-flame Optimization, and Particle Swarm Optimization) in designing a flatness-based controller for a ball and beam system simulated in MATLAB/Simulink environment. The assessment involves the tuning of feedback gains utilizing four distinct fitness functions: Integral Square Error, Integral Absolute Error, Integral Time Absolute Error, and an ad-hoc cost function. Hypothesis tests are employed to choose the optimal controllers from each combination for every bioinspired algorithm and a fitness function. Subsequently, a control performance analysis of these controllers for the ball and beam system is conducted, focusing on critical parameters such as overshoot, settling time, and steady-state error. This analysis demonstrates that all the controllers achieve a zero steady-state error. Noteworthy is the flatness-based controller tuned with the bioinspired Grasshopper Optimization Algorithm and utilizing the Integral Time Absolute Error fitness function, which stands out for achieving the fastest response with the lowest overshoot. This particular controller emerges as the most recommended choice for the specified application. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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