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Machine learning-guided accelerated discovery of structure-property correlations in lean magnesium alloys for biomedical applications

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Journal of Magnesium and Alloys 2024年第6期12卷 2267-2283页

作者： Sreenivas Raguraman Maitreyee Sharma priyadarshini Tram Nguyen Ryan McGovern Andrew Kim Adam J.Griebel Paulette Clancy Timothy P.Weihs Department of Materials Science and Engineering Johns Hopkins University3400 N Charles StBaltimore21218MDU.S.A Hopkins Extreme Materials Institute Johns Hopkins University3400 N Charles StBaltimore21218MDU.S.A Department of Chemical and Biomolecular Engineering Johns Hopkins University3400 N Charles StBaltimore21218MDU.S.A Translational Tissue Engineering Center Johns Hopkins School of Medicine400 N BroadwayBaltimore21231MDU.S.A Department of Biomedical Engineering Johns Hopkins University3400 N Charles StBaltimore21218MDU.S.A Research and Development Fort Wayne Metals Research ProductsLLC9609 Ardmore AveFort Wayne46809INU.S.A Department of Mechanical Engineering Johns Hopkins University3400 N Charles StBaltimore21218MDU.S.A

Magnesium alloys are emerging as promising alternatives to traditional orthopedic implant materials thanks to their biodegradability,biocompatibility,and impressive mechanical ***,their rapid in-vivo degradation presents challenges,notably in upholding mechanical integrity over *** study investigates the impact of high-temperature thermal processing on the mechanical and degradation attributes of a lean Mg-Zn-Ca-Mn alloy,*** rapid,cost-efficient characterization methods like X-ray diffraction and optical microscopy,we swiftly examine microstructural changes post-thermal *** Pearson correlation coefficient analysis,we unveil the relationship between microstructural properties and critical targets(properties):hardness and corrosion ***,leveraging the least absolute shrinkage and selection operator(LASSO),we pinpoint the dominant microstructural factors among closely correlated *** findings underscore the significant role of grain size refinement in strengthening and the predominance of the ternary Ca_(2)Mg_(6)Zn_(3)phase in corrosion *** suggests that achieving an optimal blend of strength and corrosion resistance is attainable through fine grains and reduced concentration of ternary *** thorough investigation furnishes valuable insights into the intricate interplay of processing,structure,and properties in magnesium alloys,thereby advancing the development of superior biodegradable implant materials.

关键词： Magnesium alloys Machine learning Corrosion Mechanical properties Rapid characterization

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A Finite Element Approach to Enhance the Performance of Nano Reinforced Prosthetic Foot

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Journal of Harbin Institute of Technology(New series) 2024年

作者： Akankshya priyadarshini Mihir Kumar Sutar Sarojrani Pattnaik Department of Mechanical Engineering， Veer Surendra Sai University of Technology

Functionally Graded Materials (FGMs) are innovative advanced quality materials in the field of composites concerning their strength， mechanical， and thermal properties. Nowadays， the modern requirement of the industry in the fields of health care， aerospace， and power sectors needs the rapid evolution of new components， which allows researchers to invent new materials to satisfy the functional requirements of modern technology. Tissue engineering is one of the most concerned areas of the application of FGM in the healthcare sector， where the tailored properties of FGM play a significant role in building and growing an artificial structure that heals the damaged tissue of the body parts and meets the desired application that the part needs to perform. This paper highlights the suitability of the combination of a nano-structure enhanced epoxy functionally graded material， its properties， and applicability in the design of a prosthetic foot where it provides the mobility and comfort of the body part like natural tissue. The analytical study is done by designing an ANSYS model and simulating the results of equivalent stress and directional deformation. The Finite Element (FE) approach is used to optimize the output results of stress-strain analysis， different weight percentages of nano-filler are taken for performance enhancement. A comparative analysis is done with the previously established results taking carbon fiber-reinforced composites that offer a successful validation of the present results obtained. Furthermore， this study also provides a clear understanding of the justification of the composition considered for the effective application in the field of prosthetics field.

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Study of boundary layer characteristics during the landfalling of a Nisarga cyclone

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Tropical Cyclone Research and Review 2024年第2期13卷 55-71页

作者： Rani P.Pawar Prajna priyadarshini T.Dharmaraj Dada P.Nade Mahendra N.Patil Omkar M.Patil N.Jeni Victor Sambhaji M.Pawar D.G.Kanase Sunil D.Pawar Indian Institute of Tropical Meteorology Ministry of Earth SciencesPuneIndia Department of Physics Bharati Vidyapeeth’s Dr.Patangrao Kadam Mahavidyalaya(Shivaji University Kolhapur)SangliIndia KSK Geomagnetic Research Laboratory IIGPrayagrajAllahabadIndia Department of Physics Sanjay Ghodawat University KolhapurIndia

One of the most important parameters in meteorology is the mean wind proﬁle in the tropical cyclone boundary *** vertical proﬁle of wind speed and wind direction were measured during the period of the Nisarga cyclone from May 31st,2020,to June 5th,2020,using the newly installed Phased Array Doppler Sodar system at the Center for Space and Atmospheric Science(CSAS),Sanjay Ghodawat University,Kolhapur(16.74◦N,74.37◦E;near India's western coast).Our analysis revealed that the maximum mean wind speed was 17 m/s on June 3,2020,at 10:00 *** also shows the change in wind direction from southwest to southeast on June 2 and 3,*** high-resolution reanalysis data in the domain,0–25◦N,65–110◦E,during the period from May 31st to June 5th,2020,revealed the variation of the atmospheric pressure of the Nisarga cyclone from 1000 to 1008 hPa,sea surface temperature(SST)between 30◦C and 31◦C,outgoing longwave radiation(OLR)between 100 and 240 Wm-2,wind speed between 3 and 15 m/s,and low values of vertical wind shear(VWS)were observed to the north of Nisarga *** observations may provide more insights for the study of boundary layer turbulence during cyclonic activities.

关键词： Doppler Sodar Tropical cyclone Atmospheric boundary layer Vertical turbulence intensity

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Electronic and magnetic properties at rough alloyed interfaces of Fe/Co on Au substrates: An augmented space study

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Chinese Physics B 2016年第5期25卷 298-304页

作者： priyadarshini Parida Biplab Ganguli Department of Physics & Astronomy National Institute of Technology Rourkela

We studied the interface electronic and magnetic properties of Fe/Co deposited on Au substrate and researched the effects of roughness at the interfaces within augmented space formalism （ASF）. The full calculation is carried out by recursion and tight-binding linear muffin tin orbital （TB-LMTO） methods. The amount of roughness is different at different atomic layers. The formalism is also applied to sharp interface, when interdiffusion of atoms is negligible. Our results of one monolayer transition metal agree with other reported results. A realistic rough interface is also modeled with three and four monolayers of transition metals, deposited on Au substrates.

关键词： augmented space formalism tight-binding linear muffin tin orbital rough interface magneticproperties

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AI Cannot Understand Memes:Experiments with OCR and Facial Emotions

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Computers, Materials & Continua 2022年第1期70卷 781-800页

作者： Ishaani priyadarshini Chase Cotton Department of Electrical and Computer Engineering University of DelawareNewark19716DEUnited States

The increasing capabilities of Artificial Intelligence(AI),has led researchers and visionaries to think in the direction of machines outperforming humans by gaining intelligence equal to or greater than humans,which may not always have a positive impact on the *** gone rogue,and Technological Singularity are major concerns in academia as well as the *** is necessary to identify the limitations of machines and analyze their incompetence,which could draw a line between human and machine *** memes are an amalgam of pictures,videos,underlying messages,ideas,sentiments,humor,and experiences,hence the way an internet meme is perceived by a human may not be entirely how a machine comprehends *** this paper,we present experimental evidence on how comprehending Internet Memes is a challenge for *** use a combination of Optical Character Recognition techniques like Tesseract,Pixel Link,and East Detector to extract text from the memes,and machine learning algorithms like Convolutional Neural Networks(CNN),Region-based Convolutional Neural Networks(RCNN),and Transfer Learning with pre-trained denseNet for assessing the textual and facial emotions *** evaluate the performance using Sensitivity and *** results show that comprehending memes is indeed a challenging task,and hence a major limitation of *** research would be of utmost interest to researchers working in the areas of Artificial General Intelligence and Technological Singularity.

关键词： Technological singularity optical character recognition transfer learning convolutional neural networks(CNN) region-based convolutional neural networks(RCNN)

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An efficient and comparative adsorption of Congo red and Trypan blue dyes on MgO nanoparticles: Kinetics, thermodynamics and isotherm studies

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Journal of Magnesium and Alloys 2021年第2期9卷 478-488页

作者： Barsharani priyadarshini tanaswini Patra tapas Ranjan Sahoo Department of Chemistry School of Applied SciencesKIIT deemed to be UniversityBhubaneswar 24OdishaIndia

Cubic phase of Mg O nanoparticles were prepared by microwave-assisted combustion synthesis and investigated for the removal of toxic dyes like Congo Red(CR)and Trypan blue(TB).The crystallite size of the Mg O nanoparticle was calculated to be 18 nm from XRD *** sample was further characterized by FTIR,TGA and FESEM *** dyes were subjected to prototypical batch adsorption process,including investigation of different parameters like Mg O dosage,dye concentration,solution pH,agitation speed and *** was found that,0.2 g of Mg O NPs showed maximum removal efficiency for both the dyes(more than 98%),having 25 ppm of dye concentration at an acidic p H(3–4).The maximum loading capacity of Mg O NPs was obtained to be 136 mg/g and 132 mg/g for CR and TB,*** thermodynamic parameters like△G^(0),△H^(0)and△S^(0)were *** negative△H^(0)and the positive△S^(0)values for both the dyes correspond to an exothermic process and an increase in randomness of the adsorbent and *** isotherm analysis exhibited that the Freundlich model fits better to the experimental equilibrium data,suggesting heterogeneous surface of the ***,the kinetic data revealed a pseudo 2 nd order rate for adsorption process.

关键词： Adsorption Congo red Trypan blue MgO NPs Kinetics Isotherm

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Using Statistical Modeling,Rate of Change of Pitch and Inter-Onset Interval to Distinguish Between Restful and Restless Ragas

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Communications in Mathematics and Statistics 2017年第2期5卷 199-212页

作者： Poonam priyadarshini Soubhik Chakraborty Department of Electronics and Communication Engineering Birla Institute of TechnologyPatna CampusPatnaIndia Department of Mathematics Birla Institute of TechnologyMesraRanchiIndia

Given that the strength of statistics lies in modelling,we are motivated to do a comparative statistical study between two types of ragas,one being aesthetically known to be restful and the other restless in *** first try to distinguish these two types through statistical *** substantiate our findings,two more sta-tistical features are considered in the paper to separate the two categories of ragas,namely the rate of change of pitch and inter-onset *** experimental results are encouraging.

关键词： Raga {Restful,restless}nature Rate of pitch change Inter Onset interval Statistical modeling

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Minimizing transmission loss using inspired ant colony optimization and Markov Chain Monte Carlo in underwater WSN environment

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Journal of Ocean Engineering and Science 2019年第4期4卷 317-327页

作者： Raj priyadarshini R Sivakumar N Department of Computer Science and Engineering Pondicherry Engineering CollegeEast Coast RoadPillaichavadiPuducherry 605014India

In Underwater Wireless Sensor Networks(UWSNs),the most important challenging issues are propagation delay,high error probability,high latency,high communication cost,limited bandwidth,limited memory,low packet delivery ratio,and transmission *** our proposed work,the various efforts are taken to minimize the propagation delay and transmission loss during data transmission in an underwater environment.A hybrid mechanism is implemented to improve energy efficiency for faster data transmission in underwater *** the underwater environment of acoustic channel condition,propagation delay and transmission loss lead to high complexity in accessing the information and also it is difficult to obtain the Channel Status Information(CSI).To address this problem,Ant Colony Optimization(ACO)routing with Markov Chain Monte Carlo(MCMC)algorithm is used and to capture the transmission loss in the MCMC approach,CSI Forecast Prediction(FP)algorithm is *** experimental simulations are evaluated by utilizing the performance evaluation metrics such as Transmission Loss,Probability Density Function,Average Delay and *** the simulation results it is evident that the proposed algorithm,ACO-MCMC has recorded the minimum transmission loss,increase in probability density function,minimum average delay and maximum throughput of the network when compared to the existing algorithms.

关键词： UWSN ACO-MCMC CSI Markov Chain Monte Carlo Transmission loss Probability density function

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Analyzing Some Elements of Technological Singularity Using Regression Methods

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Computers, Materials & Continua 2021年第6期67卷 3229-3247页

作者： Ishaani priyadarshini Pinaki Ranjan Mohanty Chase Cotton Department of Electrical and Computer Engineering University of DelawareNewarkDE19716USA Department of Computer Science Purdue UniversityWest LafayetteIN47907USA

Technological advancement has contributed immensely to human life and *** like industrial robots,artificial intelligence,and machine learning are advancing at a rapid *** the evolution of Artificial Intelligence has contributed significantly to the development of personal assistants,automated drones,smart home devices,etc.,it has also raised questions about the much-anticipated point in the future where machines may develop intelligence that may be equal to or greater than humans,a term that is popularly known as Technological *** technological singularity promises great benefits,past research works on Artificial Intelligence(AI)systems going rogue highlight the downside of Technological Singularity and assert that it may lead to catastrophic ***,there is a need to identify factors that contribute to technological advancement and may ultimately lead to Technological Singularity in the *** this paper,we identify factors such as Number of scientific publications in Artificial Intelligence,Number of scientific publications in Machine Learning,Dynamic RAM(Random Access Memory)Price,Number of Transistors,and Speed of Computers’Processors,and analyze their effects on Technological Singularity using Regression methods(Multiple Linear Regression and Simple Linear Regression).The predictive ability of the models has been validated using PRESS and k-fold *** study shows that academic advancement in AI and ML and Dynamic RAM prices contribute significantly to Technological *** the factors would help researchers and industry experts comprehend what leads to Technological Singularity and,if needed,how to prevent undesirable outcomes.

关键词： Technological growth technological singularity regression analysis artificial intelligence superintelligence PRESS k-fold validation

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Seroprevalence of dengue virus among adults presenting with acute febrile illness at a tertiary care hospital in South India

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Asian Pacific Journal of Tropical Medicine 2023年第2期16卷 95-97页

作者： Lavanya Mohanam priyadarshini Shanmugam Department of Microbiology Chettinad Hospital and Research InstituteChettinad Academy of Research and EducationKelambakkamChennai 603103India

Dengue virus,a member of the Flavivirus genus in the Flaviviridae family,has four serotypes(DEN-1 to DEN-4),and is responsible for both mild and severe dengue fever(dengue hemorrhagic fever and dengue shock syndrome)[1].Dengue cases are under reported in India and the cases are treated clinically based on the clinical triage of symptoms[2].Nonstructural protein(NS1)antigen is a highly conserved glycoprotein found in Flavivirus group such as Dengue,Zika,and Japanese encephalitis *** detection of NS1 antigen,IgM and IgG antibody in a single cassette is used for testing primary and secondary dengue *** diagnosis of disease progression associated with severe dengue and accessibility to appropriate medical care reduces severe dengue fatality rates to less than 1%.This retrospective study,conducted from January 2021 to December 2021 in the tertiary care hospital,South India,was aimed to determine the seroprevalence of dengue adult patients with acute febrile illness.

关键词： febrile acute diagnosis

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