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Smart prediction of liquefaction-induced lateral spreading

Journal of Rock mechanics and Geotechnical Engineering 2024年第6期16卷 2310-2325页

作者： muha.m.d nouman amjad raja Tarek Abdoun Waleed El-Sekelly New York University(NYU)Abu dhabi Abu Dhabi129188United Arab Emirates University of management and Technology Lahore54372Pakistan department of Civil and Environmental Eng. Rensselaer Polytechnic Institute(RPI)1108th StreetJEC 4049TroyNY12180USA department of Structural Engineering Mansoura UniversityMansoura35516Egypt

The prediction of liquefaction-induced lateral spreading/displacement(dh)is a challenging task for civil/geotechnical *** this study,a new approach is proposed to predict dh using gene expression programming(GEP).Based on statistical reasoning,individual models were developed for two topographies:free-face and gently sloping *** with a comparison with conventional approaches for predicting the dh,four additional regression-based soft computing models,*** process regression(GPR),relevance vector machine(RVm),sequential minimal optimization regression(SmOR),and m5-tree,were developed and compared with the GEP *** results indicate that the GEP models predict dh with less bias,as evidenced by the root mean square error(RmSE)and mean absolute error(mAE)for training(i.e.1.092 and 0.815;and 0.643 and 0.526)and for testing(i.e.0.89 and 0.705;and 0.773 and 0.573)in free-face and gently sloping ground topographies,*** overall performance for the free-face topology was ranked as follows:GEP>RVm>m5-tree>GPR>SmOR,with a total score of 40,32,24,15,and 10,*** the gently sloping condition,the performance was ranked as follows:GEP>RVm>GPR>m5-tree>SmOR with a total score of 40,32,21,19,and 8,***,the results of the sensitivity analysis showed that for both free-face and gently sloping ground,the liquefiable layer thickness(T_(15))was the major parameter with percentage deterioration(%d)value of 99.15 and 90.72,respectively.

关键词： Lateral spreading Intelligent modeling Gene expression programming(GEP) Closed-form solution Feature importance

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Intrusion detection Based on Bidirectional Long Short-Term memory with Attention mechanism

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Computers, materials & Continua 2023年第1期74卷 801-815页

作者： Yongjie Yang Shanshan Tu raja Hashim Ali Hisham Alasmary muha.m.d Waqas muha.m.d nouman amjad Engineering Research Center of Intelligent Perception and Autonomous Control Faculty of Information TechnologyBeijing University of TechnologyBeijing100124China Faculty of Computer Science and Engineering GIK Institute of Engineering Sciences and TechnologyTopi23460Pakistan department of Computer Science College of Computer ScienceKing Khalid UniversityAbhaSaudi Arabia Information Security and Cybersecurity Unit King Khalid UniversityAbhaSaudi Arabia Computer Engineering department College of Information TechnologyUniversity of Bahrain32038Bahrain School of Engineering Edith Cowan UniversityJoondalup PerthWA6027Australia School of Engineering University of Management and TechnologyLahorePakistan

With the recent developments in the Internet of Things(IoT),the amount of data collected has expanded tremendously,resulting in a higher demand for data storage,computational capacity,and real-time processing *** computing has traditionally played an important role in establishing ***,fog computing has recently emerged as a new field complementing cloud computing due to its enhanced mobility,location awareness,heterogeneity,scalability,low latency,and geographic ***,IoT networks are vulnerable to unwanted assaults because of their open and shared *** a result,various fog computing-based security models that protect IoT networks have been developed.A distributed architecture based on an intrusion detection system(IdS)ensures that a dynamic,scalable IoT environment with the ability to disperse centralized tasks to local fog nodes and which successfully detects advanced malicious threats is *** this study,we examined the time-related aspects of network traffic *** presented an intrusion detection model based on a twolayered bidirectional long short-term memory(Bi-LSTm)with an attention mechanism for traffic data classification verified on the UNSW-NB15 benchmark *** showed that the suggested model outperformed numerous leading-edge Network IdS that used machine learning models in terms of accuracy,precision,recall and F1 score.

关键词： Fog computing intrusion detection bi-LSTm attention mechanism

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Autonomous scanning probe microscopy investigations over WS_(2)and Au{111}

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npj Computational materials 2022年第1期8卷 916-922页

作者： John C.Thomas Antonio Rossi darian Smalley Luca Francaviglia Zhuohang Yu Tianyi Zhang Shalini Kumari Joshua A.Robinson mauricio Terrones masahiro Ishigami Eli Rotenberg Edward S.Barnard Archana raja Ed Wong d.Frank Ogletree marcus m.Noack Alexander Weber-Bargioni molecular Foundry Lawrence Berkeley National LaboratoryBerkeleyCA94720United States Advanced Light Source Lawrence Berkeley National LaboratoryBerkeleyCA94720United States department of Physics and NanoScience Technology Center University of Central FloridaOrlandoFL32816United States department of materials Science and Engineering The Pennsylvania State UniversityUniversity ParkPA16082United States Center for Two-dimensional and Layered materials The Pennsylvania State UniversityUniversity ParkPA16802United States department of Physics and department of Chemistry The Pennsylvania State UniversityUniversity ParkPA16802United States Center for Advanced mathematics for Energy Research Applications Lawrence Berkeley National LaboratoryBerkeleyCA94720United States

Individual atomic defects in 2d materials impact their macroscopic *** the interplay is challenging,however,intelligent hyperspectral scanning tunneling spectroscopy(STS)mapping provides a feasible solution to this technically difficult and time consuming ***,dense spectroscopic volume is collected autonomously via Gaussian process regression,where convolutional neural networks are used in tandem for spectral *** data enable defect segmentation,and a workflow is provided for machine-driven decision making during experimentation with capability for user *** provide a means towards autonomous experimentation for the benefit of both enhanced reproducibility and *** investigations on WS_(2)sulfur vacancy sites are explored,which is combined with local density of states confirmation on the Au{111}herringbone *** vacancies,pristine WS_(2),Au face-centered cubic,and Au hexagonal close-packed regions are examined and detected by machine learning methods to demonstrate the potential of artificial intelligence for hyperspectral STS mapping.

关键词： autonomous consuming packed

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Unsupervised neural network model optimized with evolutionary computations for solving variants of nonlinear mHd Jeffery-Hamel problem

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Applied mathematics and mechanics(English Edition) 2015年第12期36卷 1611-1638页

作者： m.A.Z.raja R.SAmAR T.HAROON S.m.SHAH department of Electrical Engineering COMSATS Institute of Information Technology department of Electrical Engineering Mohammad Ali Jinnah University department of mathematics COMSATS Institute of Information Technology

A heuristic technique is developed for a nonlinear magnetohydrodynamics （mHd） Jeffery-Hamel problem with the help of the feed-forward artificial neural net- work （ANN） optimized with the genetic algorithm （GA） and the sequential quadratic programming （SQP） method. The twodimensional （2d） mHd Jeffery-Hamel problem is transformed into a higher order boundary value problem （BVP） of ordinary differential equations （OdEs）. The mathematical model of the transformed BVP is formulated with the ANN in an unsupervised manner. The training of the weights of the ANN is carried out with the evolutionary calculation based on the GA hybridized with the SQP method for the rapid local convergence. The proposed scheme is evaluated on the variants of the Jeffery-Hamel flow by varying the Reynold number, the Hartmann number, and the an- gles of the walls. A large number of simulations are performed with an extensive analysis to validate the accuracy, convergence, and effectiveness of the scheme. The comparison of the standard numerical solution and the analytic solution establishes the correctness of the proposed designed methodologies.

关键词： Jeffery-Hamel problem neural network genetic algorithm (GA) nonlinear ordinary differential equation (OdE) hybrid technique sequential quadratic programming

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Photometric investigation of eight ultra-short period eclipsing binaries from OGLE

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Research in Astronomy and Astrophysics 2020年第8期20卷 113-120页

作者： Shanti Priya d. Ravi raja P. Rukmini J. Raghu Prasad m. Vineet S.Thomas department of Astronomy Osmania UniversityHyderabad-500007TelanganaIndia The University of Akron AkronOH44325USA

We performed a detailed photometric analysis of eight ultra-short period eclipsing binaries(USPEBs) using the Wilson-devinney method. We present the modeled light curves and derived photometric solutions. The USPEBs with period(P)≤0.21 d considered in our study belong to W-subtype having shallow contact factor(f)mass ratio(q)>~0.7 and later spectral types. The absolute parameters for these short-period binaries were derived applying empirical relations. We discuss the evolutionary stage of these USPEBs using the mass-radius, color-density and period-color diagrams. The objects showed poor metallicities, and some objects were even found to be existing around fully convective limits. The period distribution of USPEBs exhibited a sharp cut-off at 0.22 d;however, we observed significant deficits for our objects in the literature. We examined the statistics of USPEBs studied to date(in terms of the distribution of period, mass ratio and component temperatures of USPEBs) and observed that a dominant distribution of component temperatures for these USPEBs was towards lower temperatures.

关键词： stars:low-mass stars:evolution stars:low-mass binaries:eclipsing binaries:close

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Phytochemical and anti-bacterial activity of epidermal glands extract of Christella parasitica (L.) H. Lev.

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Asian Pacific Journal of Tropical Biomedicine 2011年第1期1卷 8-11页

作者： Paul Raj K Irudayaraj V Johnson m Patric raja d dartment of Plant Biology and Plant Biotechnology St.Xavier's College(Autonomous)

Objective:To study the morphology,biochemistry and bioactivity of the epidermal glands of the glandular morphotype of Christella parasitica(***)(L.) ***: morphological studies on epidermal glands were earned out by using light microscope and scanning electron *** prepare the extract,the shade-dried fronds of glandular morphotype were soaked in *** antibacterial studies paper disc method was followed by using various pathogenic ***:detailed micromorphological,phytochemical and bioactivity studies on a medicinal fern ***(L.) *** its inlraspecific variation in antibacterial *** presence or absence of the epidermal glands was the key factor for antibacterial activity in the morphovariants of this *** epidermal glands were orange-coloured,stalked and elongated ones of about 84.2μm×45μm,and distributed on the undersurface of cosla,coslules and veins in croziers,young and mature *** of glands varied from 15/cm on costa in mature leaves to 140/cm on costules in *** acetone extract of the glands showed antibacterial activities and also toxic effect against mosquito larvae and tadpoles of *** phytochemical analysis and HPLC studies of the gland extract showed the presence of various kinds of terpenoids,alkaloids,tannins,saponins and flavonoids in ***:The present study shows that epidermal glands of the glandular morphotype of C. parasitica(L.) *** several bioactive compounds and such rare moiphovariant should be conserved in *** next step is to isolate the pure compounds and to screen the bioactivity of individual compounds of the epidermal glands.

关键词： Epidermal glands Christella parasitica Bioactivity Phytochemical activity Anti-bacterial activity morphology Biochemistry Glandular morphotype Light microscope Shade-dried frond Bioactive compound morphovariant Preliminary phytochemical analysis Gland extract Flavonoid

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Engineered Nano−Bio Interfaces for Stem Cell Therapy

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Precision Chemistry 2023年第6期1卷 341-356页

作者： Arsalan Umer muha.m.d daniyal Ghouri Theoneste muyizere raja muha.m.d Aqib Abdul muhaymin Rong Cai Chunying Chen CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety&CAS Center for Excellence in Nanoscience and Technology of China Chinese Academy of Sciences(CAS)Beijing 100190China University of Chinese Academy of Sciences Beijing 100049China GBA National Institute for Nanotechnology Innovation Guangdong 5110700China

Engineered nanomaterials(ENms)with different topographies provide effective nano−bio interfaces for controlling the differentiation of stem *** interaction of stem cells with nanoscale topographies and chemical cues in their microenvironment at the nano−bio interface can guide their *** use of nanotopographical cues,in particular nanorods,nanopillars,nanogrooves,nanofibers,and nanopits,as well as biochemical forces mediated factors,including growth factors,cytokines,and extracellular matrix proteins,can significantly impact stem cell *** factors were seen as very effective in determining the proliferation and spreading of stem *** specific outgrowth of stem cells can be decided with size variation of topographic nanomaterial along with variation in matrix stiffness and surface structure like a special *** precision chemistry enabled controlled design,synthesis,and chemical composition of ENms can regulate stem cell *** parameters of size such as aspect ratio,diameter,and pore size of nanotopographic structures are the main factors for specific termination of stem *** corona nanoparticles(NPs)have shown a powerful facet in stem cell therapy,where combining specific proteins could facilitate a certain stem cell differentiation and cellular ***−bio reactions implicate the interaction between biological entities and nanoparticles,which can be used to tailor the stem cells’*** ion release can also be a parameter to enhance cellular proliferation and to commit the early differentiation of stem *** research is needed to fully understand the mechanisms underlying the interactions between engineered nano−bio interfaces and stem cells and to develop optimized regenerative medicine and tissue engineering designs.

关键词： nano−bio interface protein corona stem cell therapy extracellular matrix biochemical forces

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A facile preparation of 3d flower-shaped Ni/Al-LdHs covered by β-Ni(OH)2 nanoplates as superior material for high power application

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Chinese Journal of Chemical Engineering 2019年第10期27卷 2526-2534页

作者： Abrar Khan raja Arumugam Senthil Junqing Pan Yanzhi Sun State Key Laboratory of Chemical Resource Engineering Beijing Engineering Center for Hierarchical CatalystsBeijing Advanced Innovation Center for Soft Matter Science and EngineeringBeijing University of Chemical TechnologyBeijing 100029China

In the present study,we propose a novel electrode material ofβ-nickel hydroxide covering nickel/aluminum layered double hydroxides via a facile complexation–precipitation *** as-obtained materials with 3-dimensional nanostructures are further utilized as highly capable electrode material in nickel–metal hydride *** electrochemical test results demonstrated theβ-nickel hydroxide covering nickel/aluminum-layered double hydroxides with 28%ofβ-nickel hydroxide provided a superior specific capacity value of 452 m A·h·g-1 in a current density of 5 A·g-1 using 6 m KOH as electrolyte as compared with other *** addition,the optimized sample displays an outstanding cyclic stability along with a huge specific capacity value of320 m Ah·g-1,and very small decay rate of 3.3%at 50 A·g-1 after 3000 cycles of charge/discharge *** indicate that the newly designed material with nanostructures not only provides an efficient contact interface between electrolyte and active species and facilitates the transport of electrons and ions,but also protects the 3-dimensional nickel/aluminum layered double hydroxides,achieving a high specific capacity,fast redox reaction and excellent long-term cyclic ***,theβ-nickel hydroxide covering nickel/aluminum layered double hydroxides with superior electrochemical performance is predictable to be a gifted electrode material in nickel–metal hydride batteries.

关键词： Nanostructures Nickel hydroxide Cathode material Ultrafast charge–discharge Ni–mH batteries

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Cosmic acceleration with bulk viscosity in an anisotropic f(R, Lm) background

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Communications in Theoretical Physics 2023年第7期75卷 103-112页

作者： raja Solanki Bina Patel Lakhan V Jaybhaye P K Sahoo department of mathematics Birla Institute of Technology and Science-PilaniHyderabad CampusHyderabad-500078India department of mathematical Sciences P.D.Patel Institute of Applied SciencesCharotar University of Science and Technology(CHARUSAT)ChangaAnand 388421GujaratIndia

In this article,we investigate the observed cosmic acceleration in the framework of a cosmological f(R,Lm)model dominated by bulk viscous matter in an anisotropic *** consider the locally rotationally symmetric Bianchi type I metric and derive the Friedmann equations that drive the gravitational interactions in f((R,Lm)***,we assume the functional form f(R,Lm)=R/2+Lαm,where a is a free model parameter,and then find the exact solutions of field equations corresponding to our viscous matter dominated *** incorporate the updated H(z)data and the Pantheon data to acquire the best-fit values of parameters of our model by utilizing theχ2 minimization technique along with the markov Chain monte Carlo random sampling ***,we present the behavior of physical parameters that describe the Universe’s evolution phase,such as density,effective pressure and EoS parameters,skewness parameter,and the statefinder diagnostic *** find that the energy density indicates expected positive behavior,whereas the negative behavior of bulk viscous pressure contributes to the Universe’s *** effective EoS parameter favors the accelerating phase of the Universe’s ***,the skewness parameter shows the anisotropic nature of spacetime during the entire evolution phase of the ***,from the statefinder diagnostic test,we found that our cosmological f(R,Lm)model lies in the quintessence region,and it behaves like a de-Sitter universe in the far *** analyze different energy conditions in order to test the consistency of the obtained *** find that all energy conditions except strong energy condition(SEC)show positive behavior,while the violation of SEC favors the recently observed acceleration with the transition from decelerated to an accelerated epoch of the Universe’s expansion in the recent past.

关键词： LRS Bianchi type I metric f(R Lm)gravity bulk viscosity skewness parameter equation of state parameter statefinder parameter

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Interactive effects of carbon dioxide, low temperature, and ultrav｜olet-B radiation on cotton seedling root and shoot morphology and growth

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Frontiers of Earth Science 2016年第4期10卷 607-620页

作者： david BRANd Chathurika WIJEWARdANA Wei GAO K. raja REddY department of Plant and Soil Sciences Mississippi State University Starkwille MS 39762 USA USdA UVB monitoring and Research Program Natural Resource Ecology Laboratory and Department of Ecosystem Science and Sustainability Colorado State University Fort Collins CO 80523 USA

Interactive effects of multiple environmental stresses are predicted to have a negative effect on cotton growth and development and these effects will be exacerbated in the future climate. The objectives of this study were to test the hypothesis that cotton cultivars differ in their responses to multiple environmental factors of （CO2） [400 and 750 μ*** 1 （＋（CO2）], temperature [28/20 and 20/12℃ （-T）], and UV-B radiation [0 and 10 kJ. m2. d ^-1（＋ UV- B）]. A genetic and molecular standard （Tm-1） and three modern cotton cultivars （dP1522B2XE PHY496W3R, and ST4747GLB2） were grown in eight sunlit, controlled environment chambers with control treatment 400 μ***^-1 [CO2], 28/21℃ temperature, and 0 kJ UV B. The results showed significant differences among the cultivars for most of the shoot and root parameters. Plants grown under low temperature alone or as a combination with ＋ UV B treatment caused more detrimental effects on root and shoot vigor. Although the elevated CO2 treatments weakened the damaging effects of higher UV-B levels on cotton growth on all cultivars, increased CO2 could not mask the negative effects of low temperature. When comparing all cultivars, genetic standard Tm-1 produced the smallest values for the majority of traits under CO2, UV-B, and low temperature either alone or in combination with other treatments. Based on principal component analysis, the four cultivars were classified as tolerant （dP1522B2XF）, intermediate （PHY496W3R and ST4747GLB2） and sensitive （Tm-1） to multiple environmental *** temperature was identified as the most damaging treatment to cotton early seedling vigor while elevated CO2 caused the least. Existing variability of cotton cultivars in response tomultiple environmental stresses could allow for selection of cultivars with the best coping ability and higher lint yield for future climate change environments.

关键词： Cotton Climate change winRHIZO Princi-pal component analysis. Stress tolerance.

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