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Darcy-forchheimer flow by rotating disk with partial slip

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Applied Mathematics and Mechanics(English Edition) 2020年第5期41卷 741-752页

作者： T.HAYAT f.haider T.MUHAMMAD A.ALSAEDI Department of Mathematics Quaid-i-Azam UniversityIslamabad 44000Pakistan Nonlinear Analysis and Applied Mathematics(NAAM)Research Group Department of MathematicsFaculty of ScienceKing Abdulaziz UniversityJeddah 21589Saudi Arabia

The viscous dissipation and heat transfer in the Darcy-forchheimer flow by a rotating disk are examined. The partial slip conditions are invoked. The optimal series solutions are computed via the optimal homotopic analysis method(OHAM). The thermophoresis and Brownian motions are studied. The Darcy-forchheimer relation characterizes the porous space. The roles of influential variables on the physical quantities are graphically examined. A reduction in the local Nusselt number is observed through thermophoresis and thermal slip parameters. The local Sherwood number depicts an increasing trend for the higher Brownian motion and concentration slip parameters.

关键词： Darcy-forchheimer flow nanofluid viscous dissipation slip condition optimal homotopy analysis method(OHAM)

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坝内的坝

水利水电快报 2002年第11期23卷 1-3页

作者： Tarek f.haider 车友宜美

用混凝土充填的小型钢桩支承一座 84a历史的平板坝坝内的 ,但完全与坝分离的加固混凝土体 ,即所谓的坝内坝。

关键词：加固修补大体积混凝土混凝土施工平板坝

Priming mesenchymal stem cells to develop “super stem cells”

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World Journal of Stem Cells 2024年第6期16卷 623-640页

作者： Khawaja Husnain haider Department of Basic Sciences Sulaiman AlRajhi UniversityAlQaseem 52736Saudi Arabia

The stem cell pre-treatment approaches at cellular and sub-cellular levels encompass physical manipulation of stem cells to growth factor treatment,genetic manipulation,and chemical and pharmacological treatment,each strategy having advantages and *** of these pre-treatment protocols are *** editorial is a continuum of Li et al’s published article and Wan et al’s editorial focusing on the significance of pre-treatment strategies to enhance their stemness,immunoregulatory,and immunosuppressive *** have elaborated on the intricacies of the combinative pre-treatment protocol using pro-inflammatory cytokines and *** a well-defined multi-pronged combinatorial strategy of mesenchymal stem cells(MSCs),pre-treatment based on the mechanistic understanding is expected to develop“Super MSCs”,which will create a transformative shift in MSC-based therapies in clinical settings,potentially revolutionizing the *** optimized,the standardized protocols may be used with slight modifications to pre-treat different stem cells to develop“super stem cells”with augmented stemness,functionality,and reparability for diverse clinical applications with better outcomes.

关键词： Cell survival Cell therapy Preconditioning Pre-treatment Stem cells Super stem cells

fuzzy inference system using genetic algorithm and pattern search for predicting roof fall rate in underground coal mines

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International Journal of Coal Science & Technology 2024年第1期11卷 31-41页

作者： Ayush Sahu Satish Sinha haider Banka Department of CSE IIT(ISM)DhanbadJharkhand826004India Department of Sustainability Adani universityAhmedabadGujrat382421India

One of the most dangerous safety hazard in underground coal mines is roof falls during retreat *** falls may cause life-threatening and non-fatal injuries to miners and impede mining and transportation *** a result,a reliable roof fall prediction model is essential to tackle such *** parameters that substantially impact roof falls are ill-defined and intangible,making this an uncertain and challenging research *** National Institute for Occupational Safety and Health assembled a national database of roof performance from 37 coal mines to explore the factors contributing to roof *** acquired for 37 mines is limited due to several restrictions,which increased the likelihood of *** logic is a technique for coping with ambiguity,incompleteness,and ***,In this paper,the fuzzy inference method is presented,which employs a genetic algorithm to create fuzzy rules based on 109 records of roof fall data and pattern search to refine the membership functions of *** performance of the deployed model is evaluated using statistical measures such as the Root-Mean-Square Error,Mean-Absolute-Error,and coefficient of determination(R_(2)).Based on these criteria,the suggested model outperforms the existing models to precisely predict roof fall rates using fewer fuzzy rules.

关键词： Underground coal mining Roof fall fuzzy logic Genetic algorithm

Enhancing Healthcare Data Security and Disease Detection Using Crossover-Based Multilayer Perceptron in Smart Healthcare Systems

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 977-997页

作者： Mustufa haider Abidi Hisham Alkhalefah Mohamed K.Aboudaif Department of Industrial Engineering College of EngineeringKing Saud UniversityP.O.Box-800Riyadh11421Saudi Arabia

The healthcare data requires accurate disease detection analysis,real-timemonitoring,and advancements to ensure proper treatment for ***,Machine Learning methods are widely utilized in Smart Healthcare Systems(SHS)to extract valuable features fromheterogeneous and high-dimensional healthcare data for predicting various diseases and monitoring patient *** methods are employed across different domains that are susceptible to adversarial attacks,necessitating careful ***,this paper proposes a crossover-based Multilayer Perceptron(CMLP)*** collected samples are pre-processed and fed into the crossover-based multilayer perceptron neural network to detect adversarial attacks on themedical records of *** an attack is detected,healthcare professionals are promptly alerted to prevent data *** paper utilizes two datasets,namely the synthetic dataset and the University of Queensland Vital Signs(UQVS)dataset,from which numerous samples are *** results are conducted to evaluate the performance of the proposed CMLP model,utilizing various performancemeasures such as Recall,Precision,Accuracy,and f1-score to predict patient *** the proposed method with existing approaches,it achieves the highest accuracy,precision,recall,and ***,the proposedmethod achieves a precision of 93%,an accuracy of 97%,an f1-score of 92%,and a recall of 92%.

关键词： Smart healthcare systems multilayer perceptron cybersecurity adversarial attack detection Healthcare 4.0

Refined Anam-Net:Lightweight Deep Learning Model for Improved Segmentation Performance of Optic Cup and Disc for Glaucoma Diagnosis

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Computers, Materials & Continua 2024年第7期80卷 1381-1405页

作者： Khursheed Aurangzeb Syed Irtaza haider Musaed Alhussein Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia

In this work,we aim to introduce some modifications to the Anam-Net deep neural network(DNN)model for segmenting optic cup(OC)and optic disc(OD)in retinal fundus images to estimate the cup-to-disc ratio(CDR).The CDR is a reliable measure for the early diagnosis of *** this study,we developed a lightweight DNN model for OC and OD segmentation in retinal fundus *** DNN model is based on modifications to Anam-Net,incorporating an anamorphic depth embedding *** reduce computational complexity,we employ a fixed filter size for all convolution layers in the encoder and decoder stages as the network *** modification significantly reduces the number of trainable parameters,making the model lightweight and suitable for resource-constrained *** evaluate the performance of the developed model using two publicly available retinal image databases,namely RIM-ONE and *** results demonstrate promising OC segmentation performance across most standard evaluation metrics while achieving analogous results for OD *** used two retinal fundus image databases named RIM-ONE and Drishti-GS that contained 159 images and 101 retinal images,*** OD segmentation using the RIM-ONE we obtain an f1-score(f1),Jaccard coefficient(JC),and overlapping error(OE)of 0.950,0.9219,and 0.0781,***,for OC segmentation using the same databases,we achieve scores of 0.8481(f1),0.7428(JC),and 0.2572(OE).Based on these experimental results and the significantly lower number of trainable parameters,we conclude that the developed model is highly suitable for the early diagnosis of glaucoma by accurately estimating the CDR.

关键词： Refined Anam-Net parameter tuning deep learning optic cup optic disc cup-to-disc ratio glaucoma diagnosis

Cellular preconditioning and mesenchymal stem cell ferroptosis

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World Journal of Stem Cells 2024年第2期16卷 64-69页

作者： Doaa Hussein Zineldeen Mazhar Mushtaq Khawaja Husnain haider Basic Sciences Sulaiman AlRajhi UniversityAlbukairiyah 52736AlQaseemSaudi Arabia Department of Medical Biochemistry and Molecular Biology Faculty of MedicineTanta UniversityTanta 6632110Egypt

In this editorial,we comment on the article published in the recent issue of the World Journal of Stem *** focus on stem cell preconditioning to prevent ferroptosis by modulating the cystathionineγ-lyase/hydrogen sulfide(H_(2)S)pathway as a novel approach to treat vascular disorders,particularly pulmonary *** stem cells are gaining popularity in regenerative medicine due to their unique ability to survive by resisting the harsh,unfavorable microenvironment of the injured *** also secrete various paracrine factors against apoptosis,necrosis,and ferroptosis to enhance cell ***,a regulated form of cell death characterized by iron accumulation and oxidative stress,has been implicated in various pathologies encompassing dege-nerative disorders to *** lipid peroxidation cascade initiates and sustains ferroptosis,generating many reactive oxygen species that attack and damage multiple cellular *** these intertwined mechanisms provi-des significant insights into developing therapeutic modalities for ferroptosis-related *** editorial primarily discusses stem cell preconditioning in modulating ferroptosis,focusing on the cystathionase gamma/H_(2)S ferroptosis *** presents a significant challenge in mesenchymal stem cell(MSC)-based therapies;hence,the emerging role of H_(2)S/cystathionase gamma/H_(2) S signaling in abrogating ferroptosis provides a novel option for therapeutic *** research into understanding the precise mechanisms of H_(2)S-mediated cytoprotection against ferroptosis is warranted to enhance the thera-peutic potential of MSCs in clinical settings,particularly vascular disorders.

关键词： Cell survival Cell therapy Hydrogen sulfide ferroptosis Preconditioning Stem cells Umbilical cord

High glucose microenvironment and human mesenchymal stem cell behavior

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World Journal of Stem Cells 2024年第3期16卷 237-244页

作者： Muhammad Abdul Mateen Nouralsalhin Alaagib Khawaja Husnain haider Basic Sciences Sulaiman AlRajhi UniversityAlQaseem 52736Saudi Arabia Cellular and Molecular Pharmacology Sulaiman AlRajhi Medical SchoolAl Bukairiyah 51941Saudi Arabia

High glucose(HG)culture conditions in vitro and persistent exposure to hyperglycemia in diabetes patients are detrimental to stem cells,analogous to any other cell type in our *** interferes with diverse signaling pathways,*** target of rapamycin(mTOR)-phosphoinositide 3-kinase(PI3K)-Akt signaling,to impact physiological cellular functions,leading to low cell survival and higher cell apoptosis *** elucidating the underlying mechanism responsible for the apoptosis of adipose tissue-derived mesenchymal stem cells(MSCs),a recent study has shown that HG culture conditions dysregulate mTORPI3K-Akt signaling in addition to mitochondrial malfunctioning due to defective mitochondrial membrane potential(MtMP)that lowers ATP *** organelle-level dysfunction energy-starves the cells and increases oxidative stress and ultrastructural *** of the mitochondrial electron transport chain produces an altered mitochondrial NAD+/NADH redox state as evidenced by a low NAD+/NADH ratio that primarily contributes to the reduced cell survival in *** previous studies have also reported altered mitochondrial membrane polarity(causing hyperpolarization)and reduced mitochondrial cell mass,leading to perturbed mitochondrial *** hostile microenvironment created by HG exposure creates structural and functional changes in the mitochondria,altering their bioenergetics and reducing their capacity to produce *** are significant data,as MSCs are extensively studied for tissue regeneration and restoring their normal functioning in cell-based ***,MSCs from hyperglycemic donors should be cautiously used in clinical settings for cell-based therapy due to concerns of their poor sur-vival rates and increased rates of post engraftment *** hypergly-cemia alters the bioenergetics of donor MSCs,rectifying the loss of MtMP may be an excellent target for future research to restore the normal functioning of MSCs i

关键词： Adipose tissue Apoptosis Bioenergetics Cell survival Cell therapy Hyperglycemia Mitochondria Mesenchymal stem cells Stem cells

Deep Learning Approach for Hand Gesture Recognition:Applications in Deaf Communication and Healthcare

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Computers, Materials & Continua 2024年第1期78卷 127-144页

作者： Khursheed Aurangzeb Khalid Javeed Musaed Alhussein Imad Rida Syed Irtaza haider Anubha Parashar Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Kingdom of Saudi Arabia Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirates Laboratory Biomechanics and Bioengineering University of Technology of CompiegneCompiegne60200France Department of Computer Science and Engineering Manipal University JaipurJaipur303007India

Hand gestures have been used as a significant mode of communication since the advent of human *** facilitating human-computer interaction(HCI),hand gesture recognition(HGRoc)technology is crucial for seamless and error-free *** technology is pivotal in healthcare and communication for the deaf *** significant advancements in computer vision-based gesture recognition for language understanding,two considerable challenges persist in this field:(a)limited and common gestures are considered,(b)processing multiple channels of information across a network takes huge computational time during discriminative feature ***,a novel hand vision-based convolutional neural network(CNN)model named(HVCNNM)offers several benefits,notably enhanced accuracy,robustness to variations,real-time performance,reduced channels,and ***,these models can be optimized for real-time performance,learn from large amounts of data,and are scalable to handle complex recognition tasks for efficient human-computer *** proposed model was evaluated on two challenging datasets,namely the Massey University Dataset(MUD)and the American Sign Language(ASL)Alphabet Dataset(ASLAD).On the MUD and ASLAD datasets,HVCNNM achieved a score of 99.23% and 99.00%,*** results demonstrate the effectiveness of CNN as a promising HGRoc *** findings suggest that the proposed model have potential roles in applications such as sign language recognition,human-computer interaction,and robotics.

关键词： Computer vision deep learning gait recognition sign language recognition machine learning