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Glassy carbon microneedles-new transdermal drug delivery device derived from a scalable C-MEMS process

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Microsystems & Nanoengineering 2018年第1期4卷 13-23页

作者： Richa Mishra Bidhan Pramanick Tapas kumar maiti Tarun Kanti Bhattacharyya Advanced Technology Development Center IIT KharagpurKharagpurWest Bengal 721302India Department of Mechanical Engineering IIT KharagpurKharagpurWest Bengal 721302India Biotechnology Department IIT KharagpurKharagpurWest Bengal 721302India Department of Electronics and Electrical Communication Engineering IIT KharagpurKharagpurWest Bengal 721302India School of Electrical Sciences IIT GoaPondaGoa 403401India

Because carbon is the basic element of all life forms and has been successfully applied as a material for medical applications,it is desirable to investigate carbon for drug delivery applications,as *** this work,we report the fabrication of a hollow carbon microneedle array with flow channels using a conventional carbonmicroelectromechanical system(C-MEMS)*** process utilizes the scalable and irreversible step of pyrolysis,where prepatterned SU-8 microneedles(precursor)are converted to glassy carbon structures in an inert atmosphere at high temperature(900°C)while retaining their original shape upon *** converted to glassy carbon,the microneedles inherit the unique properties of hardness,biocompatibility,and thermal and chemical resistance associated with this material.A comparative study of hardness and Young’s modulus for carbon microneedles and SU-8 microneedles was performed to evaluate the increased strength of the microneedles induced by the C-MEMS process *** shrinkage of the carbon microneedles upon pyrolysis was observed and *** characterizations including energy-dispersive X-ray spectroscopy(EDX)and Raman spectroscopy were carried out to estimate the atomic percentage of carbon in the microneedle structure and its crystalline nature,*** investigations confirm that the microneedles are glassy in *** and bending tests were also performed to determine the maximum forces that the carbon microneedles can withstand,and it was found that these forces were approximately two orders of magnitude higher than the resistive forces presented by skin.A microneedle array was inserted into mouse skin multiple times and was successfully removed without the breakage of any microneedles.

关键词： carbon process needle

How successful have the lockdowns been in controlling the(COVID-19/SARS-CoV-2)pandemic-A simulation-based analysis

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International Journal of Modeling, Simulation, and Scientific Computing 2021年第3期12卷 14-39页

作者： anup kumar Niraj KrViswakarma Amit Adlakha Kampan Mukherjee Operations and Business Analytics Institute of Management Technology NagpurIndia FMS BHU VaranasiIndia IUU Dehradun India IIM Kashipur India

The total number of infections(epidemic size),and the time needed for the infection to die out(epidemic duration),represent two of the main indicators for the measuring gravity of infectious disease epidemics in humans.A few attempts have been made to address the problem of controlling both the epidemic size and duration simultaneously from a theoretical point of view,by primarily using the Optimal control *** this study,a multi-objective optimal control problem has been simulated to gauge the success of the lockdowns in *** accomplish this objective,a system dynamics modeling was used to simulate the Susceptible–Infected–Quarantined–Removed epidemic model.A set of sensitivity experiments for different scenarios allows illustrating the model’s behavior and its value for decision-makers regarding the lockdown *** simulation of the model presents various scenarios,wherein the cost–benefit analysis of lockdown was ***,the lockdown success intensity was defined,post which,the findings indicate that the states of Uttar Pradesh,Kerala,Panjab,Jammu,Kashmir,Haryana,and Bihar have achieved more than 90%lockdown success ***,it was observed that these states could effectively implement lockdowns by strictly enforcing social distancing measures during the early stages of the virus spread,which in turn resulted in the high success rate of lockdowns.

关键词： COVID-19 immunity index lockdown success intensity system dynamic SEIQHRD model

Prediction of chromatin looping using deep hybrid learning(DHL)

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Quantitative Biology 2023年第2期11卷 155-162页

作者： Mateusz Chilinski anup kumar Halder Dariusz Plewczynski Faculty of Mathematics and Information Sciences Warsaw University of Technology00-662 WarsawPoland Laboratory of Functional and Structural Genomics Centre of New Technologies University of Warsaw 02-097 WarsawPoland

Background:With the development of rapid and cheap sequencing techniques,the cost of whole-genome sequencing(WGS)has dropped ***,the complexity of the human genome is not limited to the pure sequenceand additional experiments are required to learn the human genome's influence on complex *** of the most exciting aspects for scientists nowadays is the spatial organisation of the genome,which can be discovered using spatial experiments(e.g.,Hi-C,ChIA-PET).The information about the spatial contacts helps in the analysis and brings new insights into our understanding of the disease ***:We have used an ensemble of deep learning with classical machine learning *** deep learning network we used was DNABERT,which utilises the BERT language model(based on transformers)for the genomic *** classical machine learning models included support vector machines(SVMs),random forests(RFs),and K-nearest neighbor(KNN).The whole approach was wrapped together as deep hybrid learning(DHL).Results:We found that the DNABERT can be used to predict the ChIA-PET experiments with high ***,the DHL approach has increased the metrics on CTCF and RNAPII ***:DHL approach should be taken into consideration for the models utilising the power of deep *** straightforward in the concept,it can improve the results significantly.

关键词： deep learning 3D genomics transformers spatial organisation of nucleus ChIA-PET DNA-Seq

Nano-Enhanced Dairy Scum Biodiesel Blends:Unleashing the Power of Aluminium Oxide for Sustainable and Efficient Engine Performance

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Journal of Thermal Science 2025年第1期34卷 283-302页

作者： Veeranna MODI Prasad B.RAMPURE Sunil kumar SHETTY Madeva NAGARAL Channa Keshava NAIK N Johar MGM Muhammad Irsyad ABDULLAH Abdullah I.AL-MANSOUR Shamshad ALAM KLE College of Engineering and Technology ChikodiVisvesvaraya Technological University Nitte (Deemed to be University) NMAM Institute of Technology (NMAMIT)Department of Mechanical Engineering Aircraft Research and Design Centre HAL Department of Mechanical Engineering BGS College of Engineering and TechnologyBengaluruAffiliated to Visvesvaraya Technological University Management and Science University Department of Civil Engineering College of EngineeringKing Saud University

This study investigates the effect of aluminium oxide nanoparticlesaddition to biodiesel blends made from dairy milk scum on performance and combustion characteristics of the diesel *** dispersion of Al2O3nanoparticles in B20 blends at different concentrations was done with the help of *** number of blends were prepared for the *** Machine learning algorithms(Random Forest（RF）and CatBoost) was used for the *** results show that in comparison to biodiesel blends without nanoparticles,the kinematic viscosity and density is higher for fuel blends with *** these Fuel blends have higher calorific *** blends exhibited reduced Brake Specific Fuel Consumption（BSFC） of2.85% than the blends without nano particles(Dairy Scum Methyl Ester Biodiesel 20%+Neat Diesel 80%（in volume）,DSMEB20),57.14% less CO,40.8% less hydrocarbon,and increased NOxemissions compared to conventional diesel,contributing to the development of environmentally friendly and renewable biofuel blends with *** B20NP30 is the optimal blend for performance and emission *** study concludes with findings on enhanced Brake Thermal Efficiency（BTE） of 26.29% in 3×10-5（in volume） Al2O3nanoparticle-blended DSME B20 and other DSME B20 fuel blends,emphasizing the importance of optimal nanoparticle *** correlation matrix shows how engine load,efficiency measures（BTE,BSFC）,and emissions（CO,CO2,NOx,Smoke） are connected in complex *** results help us understand the complicated dynamics of engine performance and emission characteristics ***'s diagram for BTE and BSFC shows that CatBoost-based BTE models perform superior to RF-based models during the training as well as testing *** results were obtained for CO and CO2emission results.

关键词： Al2O3 concentration CI engine Dairy Scum Methyl Ester Biodiesel

3D Reconstruction for Motion Blurred Images Using Deep Learning-Based Intelligent Systems

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Computers, Materials & Continua 2021年第2期66卷 2087-2104页

作者： Jing Zhang Keping Yu Zheng Wen Xin Qi anup kumar Paul Tamoritsusho Co. Ltd.Tokyo110-0005Japan Department of Computer Science and Technology Xi’an University of Science and TechnologyXi’an710054China Global Information and Telecommunication Institute Waseda UniversityTokyo169-8050Japan School of Fundamental Science and Engineering Waseda UniversityTokyo169-8050Japan Department of Electronics and Communications Engineering East West UniversityDhaka1212Bangladesh

The 3D reconstruction using deep learning-based intelligent systems can provide great help for measuring an individual’s height and shape quickly and accurately through 2D motion-blurred ***,during the acquisition of images in real-time,motion blur,caused by camera shaking or human motion,*** learning-based intelligent control applied in vision can help us solve the *** this end,we propose a 3D reconstruction method for motion-blurred images using deep ***,we develop a BF-WGAN algorithm that combines the bilateral filtering(BF)denoising theory with a Wasserstein generative adversarial network(WGAN)to remove motion *** bilateral filter denoising algorithm is used to remove the noise and to retain the details of the blurred ***,the blurred image and the corresponding sharp image are input into the *** algorithm distinguishes the motion-blurred image from the corresponding sharp image according to the WGAN loss and perceptual loss ***,we use the deblurred images generated by the BFWGAN algorithm for 3D *** propose a threshold optimization random sample consensus(TO-RANSAC)algorithm that can remove the wrong relationship between two views in the 3D reconstructed model relatively *** with the traditional RANSAC algorithm,the TO-RANSAC algorithm can adjust the threshold adaptively,which improves the accuracy of the 3D reconstruction *** experimental results show that our BF-WGAN algorithm has a better deblurring effect and higher efficiency than do other representative *** addition,the TO-RANSAC algorithm yields a calculation accuracy considerably higher than that of the traditional RANSAC algorithm.

关键词： 3D reconstruction motion blurring deep learning intelligent systems bilateral filtering random sample consensus

Heteromeric and Homomeric Geranyl Diphosphate Synthases from Catharanthus roseus and Their Role in Monoterpene Indole Alkaloid Biosynthesis

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Molecular Plant 2013年第5期6卷 1531-1549页

作者： Avanish Rai Shachi S. Smita anup kumar Singh Karuna Shanker Dinesh A. Nagegowda CSIR-Central Institute of Medicinal and Aromatic Plants Research Centre Bangalore 560065 India CSIR-Central Institute of Medicinal and Aromatic Plants Lucknow 226015 India

Catharanthus roseus is the sole source of two most important monoterpene indole alkaloid （MIA） anti- cancer agents： vinblastine and vincristine. MIAs possess a terpene and an indole moiety derived from terpenoid and shikimate pathways, respectively. Geranyl diphosphate （GPP）, the entry point to the formation of terpene moiety, is a product of the condensation of isopentenyl diphosphate （IPP） and dimethylallyl diphosphate （DMAPP） by GPP synthase （GPPS）. Here, we report three genes encoding proteins with sequence similarity to large subunit （***） and small subunit （***） of heteromeric GPPSs, and a homomeric GPPSs. *** is a bifunctional enzyme producing both GPP and geranyl geranyl diphosphate （GGPP）, *** is inactive, whereas CrGPPS is a homomeric enzyme forming GPP. Co-expression of both subunits in Escherichia coil resulted in heteromeric enzyme with enhanced activity producing only GPR While *** and CrGPPS showed higher expression in older and younger leaves, respectively, *** showed an increasing trend and decreased gradually. Methyl jasmonate （MelA） treatment of leaves sig- nificantly induced the expression of only ***. GFP localization indicated that *** is plastidial whereas CrGPPS is mitochondrial. Transient overexpression of *** in C. roseus leaves resulted in increased vindoline, immediate monomeric precursor of vinblastine and vincristine. Although C. roseus has both heteromeric and homomeric GPPS enzymes, our results implicate the involvement of only heteromeric GPPS with *** regulating the GPP flux for MIA biosynthesis.

关键词： C. roseus monoterpene indole alkaloids geranyl diphosphate synthase heteromer homomer large subunit small subunit vindoline.

The Development of Efficient Plant Promoters for Transgene Expression Employing Plant Virus Promoters

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Molecular Plant 2012年第4期5卷 941-944页

作者： Sunita Patro Deepak kumar Rajiv Ranjan Indu B.maiti Nrisingha Dey Institute of Life Sciences Department of BiotechnologyGovernment of IndiaNalco SquareChandrasekherpurBhubaneswar 751023OrissaIndia Kentucky Tobacco Research and Development Center University of KentuckyLexingtonKY 40546-0236USA

Dear Editor, The structure of eukaryotic promoter is modular, consisting of different sub-domains （Benfey et al., 1990）. Cross-talk among these sub-domains and effective combinatorial interac- tions between the specific cis-element/s with respective trans- factor/s usually control the strength and tissue specificity of the promoter. Further, specificity/inducibility of promoter can be modified by altering its genetic architecture through ＇cis-rearrangement＇（Rushton et al., 2002） and ＇swapping of sub-domains＇（Bhullar et al., 2003）. The fundamental motiva- tion behind developing such modified promoters lies in thebelief that the swapping/shuffling of the upstream activation sequences carrying a specific set of cis-elements that bind to a particular trans-factor from one promoter to the other con- taininq a TATA seauence that miaht result in a novel chimericregu!atory module,

关键词： tissue specificity

Modified distance regularized level set evolution for brain ventricles segmentation

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Visual Computing for Industry,Biomedicine,and Art 2020年第1期3卷 329-340页

作者： Thirumagal Jayaraman Sravan Reddy M Manjunatha Mahadevappa anup Sadhu Pranab kumar Dutta School of Medical Science and Technology IIT KharagpurKharagpur 721302India Department of Electronics and Communications JNTUA-College of EngineeringPulivendula 516390India EKO CT&MRI Scan Centre Medical CollegeCalcutta 700073India Department of Electrical Engineering IIT KharagpurKharagpur 721302India

Neurodegenerative disorders are commonly characterized by atrophy of the brain which is caused by neuronal *** are one of the prominent structures in the brain;their shape changes,due to their content,the cerebrospinal *** the morphological changes of ventricles,aids in the diagnosis of atrophy,for which the region of interest needs to be separated from the *** study presents a modified distance regularized level set evolution segmentation method,incorporating regional intensity *** proposed method is implemented for segmenting ventricles from brain images for normal and atrophy subjects of magnetic resonance imaging and computed tomography *** of the proposed method were compared with ground truth images and produced sensitivity in the range of 65%–90%,specificity in the range of 98%–99%,and accuracy in the range of 95%–98%.Peak signal to noise ratio and structural similarity index were also used as performance measures for determining segmentation accuracy:95%and 0.95,*** parameters of level set formulation vary for different *** optimization procedure was followed to fine tune *** proposed method was found to be efficient and robust against noisy *** proposed method is adaptive and multimodal.

关键词： Ventricles Atrophy Segmentation Level set Diagnosis

Process-structure-property relationship for plasma-sprayed iron-based amorphous/crystalline composite coatings

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International Journal of Minerals,Metallurgy and Materials 2022年第1期29卷 144-152页

作者： Abhishek Pathak Biswajyoti Mukherjee Krishna Kant Pandey Aminul Islam Pavan Bijalwan Monojit Dutta Atanu Banerjee anup kumar Keshri Research and Development Unit Tata SteelJamshedpur 831001India Plasma Spray Coating Laboratory Metallurgical and Materials EngineeringIndian Institute of Technology PatnaBihta 801106India

This study explores the fabrication of Fe-based amorphous/crystalline coating by air plasma spraying and its dependency on the coating parameters(plasma power,primary gas flow rate,powder feed rate,and stand-off distance).X-ray diffraction of the coatings deposited at optimized spray parameters showed the presence of amorphous/crystalline *** deposited at a lower plasma power and highest gas flow rate exhibited better density,hardness,and wear *** coatings demonstrated equally good resistance against the corrosive environment(3.5wt%NaCl solution).Mechanical,wear,and tribological studies indicated that a single process parameter optimization cannot provide good coating performance;instead,all process parameters have a unique role in defining better properties for the coating by con-trolling the in-flight particle temperature and velocity profile,followed by the cooling pattern of molten droplet before impingement on the substrate.

关键词： Fe-based alloys amorphous alloys plasma spray coating mechanical corrosion and wear