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Analysis of Combined Convective and Viscous Dissipation Effects for Peristaltic Flow of Rabinowitsch Fluid Model

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Journal of Bionic Engineering 2017年第1期14卷 182-190页

作者： Hina sadaf Sohail Nadeem Department of Mathematics Quaid-i-Azam University Islamabad 44000 Pakistan

In this article, mathematical modeling for peristaltic flow of Rabinowitsch fluid model is considered in a non-uniform tube with combined effects of viscous dissipation and convective boundary conditions. Wall properties analysis is also taken into account. Non-dimensional differential equations are simplified by using the well-known assumptions of low Reynolds number and long wavelength. The influence of various parameters connected with this flow problem such as rigidity parameter E1, stiffness parameter E2, viscous damping force parameter E3, Brickman number and Biot number are plotted for velocity distribution, temperature profile and for stream function. Results are plotted and discussed in detail for shear thinning, shear thickening and for viscous fluid. It is found that velocity profile is an increasing function of rigidity parameter, stiffness parameter, and viscous damping force parameter for shear thinning and for viscous fluid, due to the less resistance offered by the walls but, quite opposite behavior is depicted for shear thickening fluids. It is seen that Brickman number relates to the viscous dissipation effects, so it contributes in enhancing fluid temperature for all cases.

关键词： peristaltic flow non-uniform tube viscous dissipation convective boundary condition exact solution,non-newtonian fluid

Nano Fluid Flow Analysis in the Presence of Slip Effects and Wall Properties by Means of Contraction and Expansion

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Communications in Theoretical Physics 2018年第9期69卷 337-343页

作者： Hina sadaf Rabia Malik DBS&H CEMENational University of Sciences and TechnologyIslamabadPakistan Department of Mathematics and Statistics International Islamic UniversityIslamabad 44000Pakistan

The present article is a study of mixed convective peristaltic flow of Cu-blood nanofluid confined in a non-uniform tube along with the velocity slip conditions and wall *** or catheterized special effects are also taken into *** utilization of the large wavelength and small reynolds number approximation,the non-dimensional governing differential equation took a more simplified form,which is then solved for the exact ***,these outcomes are offered graphically and are debated in *** profile for pure blood as well as Cu-blood and no-slip and slip effects are also discussed *** pattern is also discussed for different physical parameters.

关键词： peristaltic flow exact solution viscous nanofluid mixed convection velocity slip conditions nonuniform tube endoscopic tube wall properties

Large circuit models: opportunities and challenges

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Science China(Information Sciences) 2024年第10期67卷 25-66页

作者： Lei CHEN Yiqi CHEN Zhufei CHU Wenji FANG Tsung-Yi HO Ru HUANG Yu HUANG sadaf KHAN Min LI Xingquan LI Yu LI Yun LIANG Jinwei LIU Yi LIU Yibo LIN Guojie LUO Hongyang PAN Zhengyuan SHI Guangyu SUN Dimitrios TSARAS Runsheng WANG Ziyi WANG Xinming WEI Zhiyao XIE Qiang XU Chenhao XUE Junchi YAN Jun YANG Bei YU Mingxuan YUAN Evangeline F.Y.YOUNG Xuan ZENG Haoyi ZHANG Zuodong ZHANG Yuxiang ZHAO Hui-Ling ZHEN Ziyang ZHENG Binwu ZHU Keren ZHU Sunan ZOU Huawei Noah’s Ark Lab School of Integrated Circuits Peking University Faculty of Electrical Engineering and Computer Science Ningbo University Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Computer Science and Engineering The Chinese University of Hong Kong School of Integrated Circuits Southeast University Huawei HiSilicon Peng Cheng Laboratory School of Computer Science Peking University School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University School of Artificial Intelligence Shanghai Jiao Tong University

Within the electronic design automation(EDA) domain, artificial intelligence(AI)-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an “AI4EDA” approach falls short of achieving a holistic design synthesis and understanding,overlooking the intricate interplay of electrical, logical, and physical facets of circuit data. This study argues for a paradigm shift from AI4EDA towards AI-rooted EDA from the ground up, integrating AI at the core of the design process. Pivotal to this vision is the development of a multimodal circuit representation learning technique, poised to provide a comprehensive understanding by harmonizing and extracting insights from varied data sources, such as functional specifications, register-transfer level(RTL) designs, circuit netlists,and physical layouts. We champion the creation of large circuit models(LCMs) that are inherently multimodal, crafted to decode and express the rich semantics and structures of circuit data, thus fostering more resilient, efficient, and inventive design methodologies. Embracing this AI-rooted philosophy, we foresee a trajectory that transcends the current innovation plateau in EDA, igniting a profound “shift-left” in electronic design methodology. The envisioned advancements herald not just an evolution of existing EDA tools but a revolution, giving rise to novel instruments of design-tools that promise to radically enhance design productivity and inaugurate a new epoch where the optimization of circuit performance, power, and area(PPA) is achieved not incrementally, but through leaps that redefine the benchmarks of electronic systems' capabilities.

关键词： AI-rooted EDA large circuit models (LCMs) multimodal circuit representation learning circuit optimization

Difficult-to-culture bacteria in the rhizosphere:The underexplored signature microbial groups

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Pedosphere 2022年第1期32卷 75-89页

作者： sadaf KALAM Anirban BASU Appa Rao PODILE Department of Plant Sciences School of Life SciencesUniversity of HyderabadHyderabad 500046(India)

Microorganisms represent a substantial portion of the earth’s biodiversity and biomass, and the plant rhizosphere is an innate reservoir teeming with heterogeneous microbes predominated by bacterial communities. Rhizospheric microbial diversity (genetic, phenotypic, and metabolic) has been extensively studied to understand the key ecological roles played by the microbial members, including plant growth promotion. The application of 16S rRNA gene sequencing and next-generation sequencing (NGS) technologies has revolutionized the discovery of novel bacterial groups that have remained undetected by traditional cultivation-based approaches. Such technological advancements have opened new vistas in our current understanding of predominant but concealed and missed bacterial diversity referred to as difficult-to-culture bacterial lineages, especially the predominant phyla Acidobacteria, Verrucomicrobia,Planctomycetes, and Gemmatimonadetes. Regardless of their ubiquity and prevalence, little is known about their ecophysiology because of the non-availability of culturable members. More recently, there has been increased interest in understanding the cosmopolitan distribution and diversity of the difficult-to-culture bacteria, focusing on their role in driving complex plant-microbial interactions and mobilizing nutrients in soil and their potential as sources of novel bioactive metabolites. As an initial step, we review the distribution and significance of such bacterial phyla in soil, their ecophysiological roles, and their hidden plant growth promoting potential. The ability to select and deploy plant probiotic bacteria from the difficult-to-culture fraction of the bacterial community might open new avenues for improving crop health.

关键词： Acidobacteria ecophysiological roles Gemmatimonadetes microbial diversity Planctomycetes plant growth promotion Verrucomicrobia

Nanotherapeutic approaches targeting angiogenesis and immune dysfunction in tumor microenvironment

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Science China(Life Sciences) 2018年第4期61卷 380-391页

作者： sadaf Hameed Pravin Bhattarai Zhifei Dai Department of Biomedical Engineering College of Engineering Peking University

Tumor microenvironment （TME） comprising cellular and non-cellular components is a major source of cancer hallmarks. Notably, angiogenesis responsible for normal physiological remodeling process can otherwise harness vessel abnormalities during tumorigenesis eliciting severe therapeutic inefficiency. Currently, FDA approved antiangiogenic drugs have only shown modest clinical success owing to tumor hypoxia, antiangiogenic therapeutic resistance, and limited knowledge in understanding TME. In order to overcome these limitations, targeting angiogenesis combined with immtmosuppressive TME could offer potential therapeutic opportunities. Indeed, these therapeutic approaches can be further revisited with the advent of nano- technology that can target the key cellular components of TME and tumor cells more precisely. Synergetic targeting without eliciting systemic toxicity achieved by integration of antiangiogenic and immunotherapy in a single nanoplatform is vital for therapeutic success. In this review, we will discuss the most promising nanotechnological advancements oriented to modulate the immunosuppressive TME in association with antiangiogenic therapy that has gained immense popularity in cancer treatment.

关键词： tumor microenvironment nanoparticles angiogenesis immunosuppression

An efficient deep learning-assisted person re-identification solution for intelligent video surveillance in smart cities

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Frontiers of Computer Science 2023年第4期17卷 83-96页

作者： Muazzam MAQSOOD sadaf YASMIN Saira GILLANI Maryam BUKHARI Seungmin RHO Sang-Soo YEO Department of Computer Science COMSATS University IslamabadAttock CampusAttock 43600Pakistan Department of Computer Science Bahria UniversityLahore 54600Pakistan Department of Industrial Security Chung-Ang UniversitySeoul 06974Republic of Korea Department of Computer Engineering Mokwon UniversityDaejeon 35349Republic of Korea

Innovations on the Internet of Everything(IoE)enabled systems are driving a change in the settings where we interact in smart units,recognized globally as smart city ***,intelligent video-surveillance systems are critical to increasing the security of these smart *** precisely,in today’s world of smart video surveillance,person re-identification(Re-ID)has gained increased consideration by *** researchers have designed deep learningbased algorithms for person Re-ID because they have achieved substantial breakthroughs in computer vision *** this line of research,we designed an adaptive feature refinementbased deep learning architecture to conduct person *** the proposed architecture,the inter-channel and inter-spatial relationship of features between the images of the same individual taken from nonidentical camera viewpoints are focused on learning spatial and channel *** addition,the spatial pyramid pooling layer is inserted to extract the multiscale and fixed-dimension feature vectors irrespective of the size of the feature ***,the model’s effectiveness is validated on the CUHK01 and CUHK02 *** compared with existing approaches,the approach presented in this paper achieves encouraging Rank 1 and 5 scores of 24.6% and 54.8%,respectively.

关键词： Internet of Everything(IoE) visual surveillance systems big data security systems person re-identification(Re-ID) deep learning

A Hybrid System for Customer Churn Prediction and Retention Analysis via Supervised Learning

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Computers, Materials & Continua 2022年第9期72卷 4283-4301页

作者： Soban Arshad Khalid Iqbal Sheneela Naz sadaf Yasmin Zobia Rehman Department of Computer Science COMSATS UniversityIslamabadAttock CampusPakistan Department of Computer Science COMSATS UniversityIslamabadIslamabad CampusPakistan

Telecom industry relies on churn prediction models to retain their *** prediction models help in precise and right time recognition of future switching by a group of customers to other service *** not only contributes to the profit of an organization,but it is also important for upholding a position in the competitive *** the past,numerous churn prediction models have been proposed,but the current models have a number of flaws that prevent them from being used in real-world largescale telecom *** schemes,fail to incorporate frequently changing *** sparsity,noisy data,and the imbalanced nature of the dataset are the other main challenges for an accurate *** this paper,we propose a hybrid model,name as“A Hybrid System for Customer Churn Prediction and Retention Analysis via Supervised Learning(HCPRs)”that used Synthetic Minority Over-Sampling Technique(SMOTE)and Particle Swarm Optimization(PSO)to address the issue of imbalance class data and feature *** cleaning and normalization has been done on big Orange dataset contains 15000 features along with 50000 *** experiments are performed to test and validate the model on Random Forest(RF),Linear Regression(LR),Naïve Bayes(NB)and *** show that the proposed model when used with XGBoost classifier,has greater Accuracy Under Curve(AUC)of 98%as compared with other methods.

关键词： Telecom churn prediction data sparsity class imbalance big data particle swarm optimization

Mechanically robust antireflective coatings

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Nano Research 2018年第3期11卷 1699-1713页

作者： sadaf Bashir Khan Hui Wu Xiaochen Huai Sumeng Zou Yuehua Liu Zhengjun Zhang The State Key Laboratory for New Ceramics & Fine Processing School of Materials Science & Engineering Tsinghua University Beijing100084 China Advanced Key Laboratory for New Ceramics School of Materials Science & Engineering Tsinghua University Beijing 100084 China

Mechanical strength is an essential parameter that influences and limits the lifetime performance of antireflective （AR） coatings in optical devices. Speciflcally, amphiphobic AR coatings with reduced reflectance are of great significance as they considerably enlarge the range of fundamental applications. Herein, we describe the design and fabrication of amphiphobic AR coatings with reduced reflectance and enhanced mechanical resilience. Introducing a thin polytetrafluoroethylene （PTFE） layer on top of the bilayer SiOz coating via vapor deposition method makes it highly liquid repellent. We achieved reduced reflectance （〈 1%） over the entire visible wavelength range, as well as tunability according to the desired wavelength region. The fabricated film showed better thermal stability （up to 300℃） with stable AR efficiency, when an ultrathin dense coat of Al2O3 was deposited via atomic layer deposition （ALD） on the polymer-based bilayer SiO2 antireflective coating （P-BSAR）. The experimental results prove that the omnidirectional AR coating in this study exhibits multifunctional properties and should be suitable for the production of protective optical equipment and biocompatible polymer films for the displays of portable electronic devices.

关键词： antireflection (AR) super-liquid repellency thin films thermally stable mechanically robust adhesion

Diversity and versatile functions of metallothioneins produced by plants:A review

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Pedosphere 2020年第5期30卷 577-588页

作者： SAEED-UR-RAHMAN Muhammad KHALD Nan HUI sadaf-Ilyas KAYANI Kexuan TANG Joint International Research Laboratory of Metabolic&Developmental Sciences Key Laboratory of Urban Agriculture(South)o f Ministry of AgriculturePlant Biotechnology Research CenterFudan-SJTU-Nottingham Plant Biotechnology R&D CenterSchool of Agriculture and BiologyShanghai Jiao Tong UniversityShanghai 200240(China) Key Laboratory of Urban Agriculture School of Agriculture and BiologyShanghai Jiao Tong UniversityShanghai 200240(China)

Metal ions are essential for plant growth and development,but in excess,these compounds can become highly *** have adopted numerous ways to maintain metal homeostasis while mitigating adverse effects of excess metal ions,including phytochelatin and the metal-chelating proteins metallothioneins(MTs).A family of cysteine(Cys)-rich,intracellular,and low-molecular-weight(4-8 kDa)MTs are proteins found in nearly all phyla including plants,animals,and fungi,and they have the potential to scavenge reactive oxygen species and detoxify toxic metals including copper,cadmium,and *** on their Cys numbers and residues,MTs have been categorized into three major *** I MTs,which have highly conserved Cys residues,are found in animals,while class II MTs,with less conserved Cys residues,are present in plants and are classified further into four *** III MTs include phytochelatins,a group of enzymatically synthesized Cys-rich *** MTs have been an area of interest for five decades with extensive studies,which have been facilitated by advancements in instrumental techniques,protein science,and molecular biology ***,we reviewed current advances in our understanding of the regulation of MT biosynthesis,their expression,and their potential roles in the alleviation of abiotic stresses(i.e.,drought,salinity,and oxidative stresses)and heavy metal detoxification and homeostasis.

关键词： abiotic stress biosynthesis gene expression heavy metals reactive oxygen species enzyme regulation