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Enhanced in-vitro degradation resistance and cytocompatibility of a thermomechanically processed novel Mg alloy:Insights into the role of microstructural attributes

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Journal of Magnesium and Alloys 2024年第2期12卷 700-725页

作者： Darothi Bairagi Santanu Mandal Mangal Roy manas paliwal Sumantra Mandal Department of Metallurgical and Materials Engineering Indian Institute of TechnologyKharagpur 721302India

The role of microstructural features on in-vitro degradation and surface film development of a thermomechanically processed Mg-4Zn-0.5Ca-0.8Mn alloy has been investigated employing electrochemical studies,scanning electron microscopy and X-ray photoelectron *** specimen forged at 523 K temperature developed a coarse unimodal microstructure consisting of basal oriented grains,whereas the specimens forged at 623 K and 723 K temperatures exhibited bimodal microstructures containing randomly oriented fine grains and basal oriented coarse *** bimodal microstructures exerted higher resistance to corrosion compared to the unimodal microstructure in presence of a protective surface *** optimum size distribution of fine and coarse grains as well as the prevalence of basal oriented grains led to the lowest anodic current density in the specimen forged at 623 *** morphology of Ca_(2)Mg_(6)Zn_(3)precipitates governed the cathodic kinetics by controlling the anode to cathode surface area *** the specimen forged at 723 K comprised comparatively lower fraction of precipitates than at 623 K,the mesh-like precipitate morphology increased the effective cathodic surface area,leading to enhanced localised corrosion in the former *** microstructural features developed at 623 K forging temperature formed a well-protective surface film with lower Mg(OH)_(2)to MgO ratio,exhibiting distinctly high polarization resistance and superior cytocompatibility in terms of cell-proliferation and cell-differentiation.

关键词： Magnesium alloy Microstructure Corrosion Electrochemical impedance spectroscopy X-ray photoelectron spectroscopy Cytotoxicity

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Influence of second phase precipitates on mechanical and in-vitro corrosion behaviour of Mg-4Zn-0.5Ca-0.8Mn alloy in optimum homogenized conditions

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Journal of Magnesium and Alloys 2023年第4期11卷 1343-1366页

作者： Darothi Bairagi Partha Duley manas paliwal Sumantra Mandal Department of Metallurgical and Materials Engineering Indian Institute of Technology Kharagpur721302India

The present study investigates the mechanical and in-vitro corrosion behavior of Mg-4Zn-0.5Ca-0.8Mn alloy in optimum homogenized *** optimization of the homogenization parameters has been carried out employing thermodynamic calculations and kinetic *** model utilizes the inter-diffusivity of the solute elements and predicts that∼6–24 h of homogenization at 633 K effectively redistributes the elements in the Mg *** on the insights obtained from the simulations,the as-cast Mg-4Zn-0.5Ca-0.8Mn alloy was subjected to homogenization heat treatment process for 6–*** microstructural study through optical microscopy and scanning electron microscopy(SEM)revealed that the interconnected network of second phase precipitates substantially dissolve within 24 h,implying adequate ***,fine Mg-Zn based precipitates with varied morphology and phase fractions also evolved during homogenization treatment,as confirmed through SEM and transmission electron *** the 12 h homogenized specimen,the highest fraction of uniformly dispersed fine precipitates resulted in the highest strength(∼225 MPa).On the other hand,a substantial disruption in coarse precipitate network and lower aspect ratio of fine Mg-Zn precipitates led to the highest ductility(∼8%)in this *** the 24 h homogenized specimen,the ductility reduced marginally owing to higher aspect ratio of fine *** immersion and electrochemical tests(viz.,potentiodynamic polarization and electrochemical impedance spectroscopy)carried out in Hank’s solution revealed that the 24 h homogenized specimen exhibits the best corrosion *** least fraction of Ca_(2)Mg_(6)Zn_(3)phase with maximum disruption in interconnectivity,in combination with a small fraction of fine equilibrium MgZn_(2)precipitates,resulted in suppression of localized corrosion in this *** promotes the formation of the most stable and compact product layer over the specimen,result

关键词： Mg alloy Thermodynamic-kinetic calculation Homogenization EIS Passive film

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A systematic investigation of secondary phase dissolution in Mg-Sn alloys

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Journal of Magnesium and Alloys 2019年第4期7卷 725-737页

作者： Arushi Dev Niladri Naskar Nishant Kumar Ashutosh Jena manas paliwal Department of Materials Science and Engineering Indian Institute of TechnologyGandhinagarPalaj CampusGandhinagarGujarat 382355India Seoul Nation University Seoul 08826Republic of Korea

As-cast Mg-Sn alloys(3,6,and 9 wt%Sn)were solution treated at 653,703 and 753 K(380,430 and 480℃)for 1,4,8,12 and 24 h to determine the variation of secondary phase with respect to Sn content,temperature and ***-3 wt%Sn exhibits Mg2Sn dissolution at all solution treatment temperatures whereas Mg-6 and 9 wt%Sn alloy displays Mg2Sn reprecipitation and dissolution depending on the heat treatment *** addition,a combined mathematical model that predicts the secondary phase dissolution and solute redistribution as a function of temperature and time is presented in this *** model is a significant improvement compared to the previous studies where the dissolution and homogenization processes are considered *** effect of grain size and solute mobility upon the dissolution and homogenization kinetics is discussed as well.

关键词： Solution treatment Homogenization Dissolution Mg-Sn alloys

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Prevalence estimates of Opisthorchis viverrini and Clonorchis sinensis infection in the Greater Mekong subregion: a systematic review and meta-analysis

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贫困所致传染病(英文) 2024年第3期13卷 11-25页

作者： Sota Pornphutthachat Andityas Morsid Kotepui manas Sripa Banchob WHO Collaborating Centre for Research and Control of Opisthorchiasis (Southeast Asian Liver Fluke Disease) Tropical Disease Research Center Khon Kaen University Khon Kaen Thailand Department of Tropical Medicine Faculty of Medicine Khon Kaen University Khon Kaen Thailand Faculty of Veterinary Medicine Khon Kaen University Khon Kaen Thailand Department of Bioresources Technology and Veterinary Veterinary Technology Study Program Vocational College Universitas Gadjah Mada Depok Indonesia School of Allied Health Sciences Walailak University Nakhon Si Thammarat Thailand Medical Technology Program Faculty of Science Nakhon Phanom University Nakhon Phanom Thailand

Background Opisthorchiasis and clonorchiasis, caused byOpisthorchis viverrini andClonorchis sinensis, respectively, are significant yet neglected foodborne trematodiases in the Great Mekong Subregion (GMS). Despite the reporting of the prevalence of these human liver flukes in the region over the past decades, there has been a lack of a comprehensive and systematic consolidation of this data. Therefore, we aimed to conduct a thorough systematic review and meta-analysis to synthesize and analyze time-trend prevalence estimates of bothO. viverrini andC. sinensis across the GMS for the past 30 *** This study undertakes a systematic review using a comprehensive search for published articles in PubMed, EMBASE, Scopus, Cochrane and Thai Journal Online databases until early 2023. The pooled prevalence ofO. viverrini andC. sinensis infection was analyzed through a random-effects meta-analysis, with meta-regression analysis used to quantify associations with study characteristics. Sub-group analysis was conducted, whenever comparison data were available, to assess the risk ofO. viverrini andC. sinensis infection in each GMS country. Heterogeneity among studies was assessed using the Q statistic and quantified by using theI2 *** From a total of 2997 articles, 155 articles comprising 218 datasets and 751,108 participants were included for review. The GMS prevalence ofO. viverrini was 21.11% [45,083/260,237; 95% confidence interval (CI): 17.74–24.47%]. Pooled prevalence estimates were highly observed in Laos (34.06%, 95%CI: 26.85–41.26%), followed by Thailand (18.19%, 95%CI: 13.86–22.51%), and Cambodia (10.48%, 95%CI: 5.52–15.45%). Myanmar and Vietnam had limited data sources for *** sinensis infection in GMS was 25.33% (95%CI: 18.32–32.34%), with Guangxi, China, exhibiting the highest prevalence rates at 26.89% (95%CI: 18.34–35.43%), while Vietnam had a prevalence rate of 20.30% (95%CI: 9.13–31.47%).O. viverrini prevalence decreased signi

关键词： Opisthorchis viverrini Clonorchis sinensis Great Mekong subregion Human Meta-analysis

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Seasonal Prediction of Indian Summer Monsoon Using WRF: A Dynamical Downscaling Perspective

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Open Journal of Modelling and Simulation 2024年第1期12卷 1-32页

作者： manas Ranjan Mohanty Uma Charan Mohanty Department of Atmospheric and Oceanic Sciences University of California Los Angeles USA Centre for Climate Smart Agriculture Siksha O Anusandhan Deemed to Be University Odisha India

Seasonal forecasting of the Indian summer monsoon by dynamically downscaling the CFSv2 output using a high resolution WRF model over the hindcast period of 1982-2008 has been performed in this study. The April start ensemble mean of the CFSv2 has been used to provide the initial and lateral boundary conditions for driving the WRF. The WRF model is integrated from 1st May through 1st October for each monsoon season. The analysis suggests that the WRF exhibits potential skill in improving the rainfall skill as well as the seasonal pattern and minimizes the meteorological errors as compared to the parent CFSv2 model. The rainfall pattern is simulated quite closer to the observation (IMD) in the WRF model over CFSv2 especially over the significant rainfall regions of India such as the Western Ghats and the central India. Probability distributions of the rainfall show that the rainfall is improved with the WRF. However, the WRF simulates copious amounts of rainfall over the eastern coast of India. Surface and upper air meteorological parameters show that the WRF model improves the simulation of the lower level and upper-level winds, MSLP, CAPE and PBL height. The specific humidity profiles show substantial improvement along the vertical column of the atmosphere which can be directly related to the net precipitable water. The CFSv2 underestimates the specific humidity along the vertical which is corrected by the WRF model. Over the Bay of Bengal, the WRF model overestimates the CAPE and specific humidity which may be attributed to the copious amount of rainfall along the eastern coast of India. Residual heating profiles also show that the WRF improves the thermodynamics of the atmosphere over 700 hPa and 400 hPa levels which helps in improving the rainfall simulation. Improvement in the land surface fluxes is also witnessed in the WRF model.

关键词： Dynamical Downscaling Regional and Mesoscale Modeling Diabatic Heating WRF

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A REMARK ON LARGE TIME ASYMTOTICS FOR SOLUTIONS OF A NONHOMOGENEOUS VISCOUS BURGERS EQUATION

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Acta Mathematica Scientia 2023年第3期43卷 1323-1332页

作者： manas Ranjan SAHOO Satyanarayana ENGU Smriti TIWARI School of Mathematical Sciences National Institute of Science Education and ResearchAn OCC of Homi Bhabha National InstituteBhubaneswarKhurdaOdishaP.O.Jatni752050India Department of Mathematics National Institute of TechnologyWarangalTelangana506004India

The existence, uniqueness and regularity of solutions to the Cauchy problem posed for a nonhomogeneous viscous Burger's equation were shown in Chung, Kim and Slemrod [1] by assuming suitable conditions on initial data. Moreover, they derived the asymptotic behaviour of solutions of the Cauchy problem by imposing additional conditions on initial data. In this article, we obtain the same asymptotic behaviour of solutions to the Cauchy problem without imposing additional condition on initial data.

关键词： modified Bessel functions integral equation large time asymptotics convolution of functions

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Surface Roughness Simulation During Rotational-Magnetorheological Finishing of Poppet Valve Profiles

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Nanomanufacturing and Metrology 2022年第3期5卷 259-273页

作者： Manjesh Kumar manas Das Nan Yu Department of Mechanical Engineering Indian Institute of TechnologyGuwahati 781039India School of Engineering The University of EdinburghEdinburgh EH89YLUK Department of Mechanical Engineering SRM University APAndhra Pradesh522502India

Surface finishing is essential for various applications in the aerospace *** of the applications is the poppet valve,which is used for leak-proof sealing of high-pressure gases in aerospace gas propulsion *** combustion engine also typically employs a poppet valve as an intake and exhaust ***-finishing a poppet valve is difficult because of its complex narrow *** precise nano-finished poppet valve perfectly fits on its seat and reduces hydrocarbon *** rotational-magnetorheological fluid-based finishing process can be used effectively for these complicated *** polishing agent in this process is magnetorheological fluid,and rheological properties are controlled by a permanent *** article presents the uniform finishing of the poppet valve's narrow ridge profile,which is analyzed through finite element analysis(FEA),wherein the outcomes are uniform shear stress,normal stress,and magnetic flux density distributions along the poppet ridge *** study of forces exerting on abrasive grains and surface roughness simulation is also conducted using FEA *** experiment is subsequently performed to verify the simulation results for poppet profile *** obtained experimental and simulated surface roughness values are *** the finishing process,the maximum percentage improvement of surface roughness is obtained as 93.71%.The rotational-magnetorheological fluid-based finishing process has high accuracy and reliability for specific applications.

关键词： Finite element analysis Nano-finishing Nickel-aluminum bronze alloy Poppet valve Magnetorheological fluid Surfaceroughness simulation

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A review on recent advancements in biodegradable Mg-Ca alloys

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Journal of Magnesium and Alloys 2022年第8期10卷 2094-2117页

作者： manas Ranjan Sahu T.S.Sampath Kumar Uday Chakkingal Department of Metallurgical and Materials Engineering Indian Institute of Technology MadrasChennai 600036India

The binary Mg-Ca alloys are drawing increasing attention as temporary implant materials because of their excellent biocompatibility,biodegradability, and good mechanical properties. However, their applications are limited due to their high degradation rates in the human physiological environment, the consequent release of hydrogen gas, and rapid loss in mechanical properties. Furthermore, biocompatibility depends upon the degradability of the material. Various researchers have demonstrated that these issues can be addressed by control of Ca content, thermo-mechanical processing to obtain suitable microstructures, deposition of surface coatings, etc. In this manuscript, a detailed review of published literature on Mg-Ca alloys is presented. The challenges and future directions of research in this area are also described.

关键词： Mg-Ca alloy Degradation Temporary implant Biocompatibility

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Gaussian Blur Masked ResNet2.0 Architecture for Diabetic Retinopathy Detection

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Computers, Materials & Continua 2023年第4期75卷 927-942页

作者： Swagata Boruah Archit Dehloo Prajul Gupta manas Ranjan Prusty A.Balasundaram School of Electronics Engineering Vellore Institute of TechnologyChennai600127India School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India Centre for Cyber-Physical Systems Vellore Institute of TechnologyChennai600127India

Diabetic Retinopathy (DR) is a serious hazard that can result inirreversible blindness if not addressed in a timely manner. Hence, numeroustechniques have been proposed for the accurate and timely detection ofthis disease. Out of these, Deep Learning (DL) and Computer Vision (CV)methods for multiclass categorization of color fundus images diagnosed withDiabetic Retinopathy have sparked considerable attention. In this paper,we attempt to develop an extended ResNet152V2 architecture-based DeepLearning model, named ResNet2.0 to aid the timely detection of DR. TheAPTOS-2019 datasetwas used to train the model. This consists of 3662 fundusimages belonging to five different stages of DR: no DR (Class 0), mild DR(Class 1), moderate DR (Class 2), severe DR (Class 3), and proliferativeDR (Class 4). The model was gauged based on ability to detect stage-wiseDR. The images were pre-processed using negative and positive weightedGaussian-based masks as feature engineering to further enhance the qualityof the fundus images by removing the noise and normalizing the images. Upsamplingand data augmentation methods were used to address the skewnessof the original dataset. The proposed model achieved an overall accuracyof 91% and an area under the receiver-operating characteristic curve (AUC)score of 95.1%, outperforming existing Deep Learning models by around 10%.Furthermore, the class-wise F1 score for No DR was 92%, Mild DR was 82%,Moderate DR was 66%, Severe was DR 89% and Proliferative DR was 80%.

关键词： Diabetic retinopathy deep learning transfer learning image processing image classification

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CE-EEN-B0:Contour Extraction Based Extended EfficientNet-B0 for Brain Tumor Classification Using MRI Images

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Computers, Materials & Continua 2023年第3期74卷 5967-5982页

作者： Abishek Mahesh Deeptimaan Banerjee Ahona Saha manas Ranjan Prusty A.Balasundaram School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India Centre for Cyber-Physical Systems Vellore Institute of TechnologyChennai600127India

A brain tumor is the uncharacteristic progression of tissues in the *** are very deadly,and if it is not diagnosed at an early stage,it might shorten the affected patient’s life ***,their classification and detection play a critical role in *** Brain tumor detection is done by biopsy which is quite *** is usually not preferred at an early stage of the *** detection involvesMagneticResonance Imaging(MRI),which is essential for evaluating the *** paper aims to identify and detect brain tumors based on their location in the *** order to achieve this,the paper proposes a model that uses an extended deep Convolutional Neural Network(CNN)named Contour Extraction based Extended EfficientNet-B0(CE-EEN-B0)which is a feed-forward neural network with the efficient net layers;three convolutional layers and max-pooling layers;and finally,the global average pooling *** site of tumors in the brain is one feature that determines its effect on the functioning of an ***,this CNN architecture classifies brain tumors into four categories:No tumor,Pituitary tumor,Meningioma tumor,andGlioma *** network provides an accuracy of 97.24%,a precision of 96.65%,and an F1 score of 96.86%which is better than already existing pre-trained networks and aims to help health professionals to cross-diagnose an MRI *** model will undoubtedly reduce the complications in detection and aid radiologists without taking invasive steps.

关键词： Brain tumor image preprocessing contour extraction disease classification transfer learning

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