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Anupama Sachdeva,Aarushi,Jagneet Kaur Anand,R.P. Tandon 한양대학교 청정에너지연구소 2022 Journal of Ceramic Processing Research Vol.23 No.6
Pb(1-x)CaxZr0.52Ti0.48O3 bulk ceramic compositions where x=0-0.1 in steps of 0.02 are prepared by solid state reaction methodand sol-gel technique. A comparative study on the samples is conducted using XRD and Raman Spectroscopy in order to seethe effect of processing conditions. XRD peaks are indexed as per monoclinic phase. In both the series of samples, volumeshrinkage of the unit cell is observed in calcium modified samples when compared with unmodified samples. It is interestingto note that the samples derived from solid state reaction exhibit pseudo tetragonal structure while sol-gel derived samplesshow pseudo rhombohedral structure of their monoclinic unit cell. Similar inference has been made via Raman spectroscopystudies on the studied ceramic compositions prepared via two methods. Raman spectroscopy also reveals the possibility thatcalcium substitutes for lead.
Anupama Shrestha(아누파마 슈레스타),Kyu-up Choi(최규업),Chun Keun Lim(임춘근),Jang Hyun Hur(허장현),Saeyoull Cho(조세열) 한국농약과학회 2009 농약과학회지 Vol.13 No.1
An antagonistic bacterial strain KLF01 was isolated from rhizosphere of tomato and identified to be Lactobacillus sp. by biochemical and genetic analysis. This strain showed antagonism against the used plant pathogenic bacteria like Ralstonia solanacearum, (bacterial wilt), Xanthomonas axonopodis pv. citri, (Citrus canker), Xanthomonas campestris pv. vesicatoria (Bacterial spot), Eriwinia pyrifoliae (Shoot-blight) and Eriwinia carotovora subsp. carotovora group (Potato scab) through agar well diffusion method. In planta test done by drench application of strain KLF01 (4×10? cfu/㎖) into the experimental plot containing tomato (Solanum lycopersicum L.) cultivar 'Lokkusanmaru' and red pepper (Capsicum annuum L.) cultivar 'Buja' plants, in pot test post-inoculated with the plant pathogenic bacteria, R. solanacearum significantly reduced the disease severity, compared to the non-treated plants.
Exploration of 3D printing to create zero‑waste sustainable fashion notions and jewelry
Anupama Pasricha,Rachel Greeninger 한국의류학회 2018 Fashion and Textiles Vol.5 No.1
This research followed design as a research paradigm to apply zero-waste principles to 3D printing in efforts to ensure sustainable applications of 3D technology in the apparel and fashion industry. Researchers used Rhinoceros 5, Tinkercad, MakerBot Replicator 2 desktop 3D printer, and polylactic acid filament to create elaborate designs. This design research is the first successful attempt at 3D printing for biodegradable zero-waste fashion notions and accessories. The researcher employed design thinking and strategies to create objects without the use of rafts and supporters removing waste creation. Multiple attempts resulted in an acceptable outcome of five pendant designs for necklaces, two earring designs, and nine layer-designed buttons. The buttons were attached to a draped cape design utilizing 95% of the fabric. There is a considerable potential to use this disruptive technology in designing and creating fashions that are unique, sustainable (zero-waste), and made on demand.
Molecular Mechanisms Governing IL-24 Gene Expression
Anupama Sahoo,임신혁 대한면역학회 2012 Immune Network Vol.12 No.1
Interleukin-24 (IL-24) belongs to the IL-10 family of cytokines and is well known for its tumor suppressor activity. This cytokine is released by both immune and nonimmune cells and acts on non-hematopoietic tissues such as skin, lung and reproductive tissues. Apart from its ubiquitous tumor suppressor function, IL-24 is also known to be involved in the immunopathology of autoimmune diseases like psoriasis and rheumatoid arthritis. Although the cellular sources and functions of IL-24 are being increasingly investigated, the molecular mechanisms of IL-24 gene expression at the levels of signal transduction, epigenetics and transcription factor binding are still unclear. Understanding the specific molecular events that regulate the production of IL-24 will help to answer the remaining questions that are important for the design of new strategies of immune intervention involving IL-24. Herein, we briefly review the signaling pathways and transcription factors that facilitate, induce, or repress production of this cytokine along with the cellular sources and functions of IL-24.
An Extended K-Means Algorithm using MapReduce Framework for Mixed Datasets
Anupama Chadha,Suresh Kumar 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.9
K-Means is a famous partition based clustering algorithm. Various extensions of K-Means have been proposed depending on the type of datasets being handled. Popular ones include K-Modes for categorical data and K-Prototype for mixed numerical and categorical data. The K-Means and its extensions suffer from one major limitation that is dependency on prior input of number of clusters K. Sometimes it becomes practically impossible to correctly estimate the optimum number of clusters in advance. Various ways have been suggested in literature to overcome this limitation for numerical data. But for categorical and mixed data work is still in progress. In this paper, we introduce a new algorithm based on the K-Means that takes mixed dataset as an input and generates appropriate number of clusters on the run using MapReduce programming style. The new algorithm not only overcomes the limitation of providing the value of K initially but also reduces the computation time using MapReduce framework.
An Efficient K-Means Algorithm and its Benchmarking against other Algorithms
Anupama Chadha,Suresh Kumar 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.11
K-Means is a widely used partition based clustering algorithm famous for its simplicity and speed. It organizes input dataset into predefined number of clusters. K-Means has a major limitation -- the number of clusters, K, need to be pre-specified as an input. Pre-specifying K in the K-Means algorithm sometimes becomes difficult in absence of thorough domain knowledge, or for a new and unknown dataset. This limitation of advance specification of cluster number can lead to “forced” clustering of data and proper classification does not emerge. In this paper, a new algorithm based on the K-Means is developed. This algorithm has advance features of intelligent data analysis and automatic generation of appropriate number of clusters. The clusters generated by the new algorithm are compared against results obtained with the original K-Means and various other famous clustering algorithms. This comparative analysis is done using sets of real data.
Anupama Hiremath,Ritesh Bhat 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.3
This study investigates the thermal property of fused quartz-reinforced aluminum 6061 alloy metal matrix composites for three different chill material conditions. Temperature and reinforcement composition were the independent variables used in experimental analysis. Thermal expansion and conductivity were considered the dependent variables. Central composite experimental design was used in this work. Analysis suggested that temperature, which contributed 55.35 % and 61.60 % variances in thermal expansion and conductivity, is a significant factor, respectively. Novel analytical models, which have a high degree of "goodness of fit" and prediction, are also developed and presented to determine thermal conductivity and expansion.
Anupama Shrestha(아누파마 슈레스타),Eun Chang Kim(김은창),Chuen Keun Lim(임춘근),Saeyoull Cho(조세열),Jang Hyun Hur(허장현),Duck Hwan Park(박덕환) 한국농약과학회 2009 농약과학회지 Vol.13 No.4
Three beneficial bacterial agents, Lactobacillus strain KLF01, Lactococcus strain KLC02 and Paenibacillus strain KPB3 were showed clear zone against plated Pectobacterium carotovorum subsp. carotovorum (Pcc) soft rot pathogen. In greenhouse test, bio-control efficacy was more significantly effective in the treatments by KLC02 and KPB3 as 64%, 50%, 56% and 66%, 57%, 58% according to date of evaluation, respectively. In case of KLF01 control effect was relatively lower than treatments of KLC02 and KPB3 but its efficacy was still significantly observed when compared to control (only water treatment). Furthermore, KLF01, KLC02 and KPB3 showed 55%, 60% and 62% bio-control efficacy, respectively in field test from early March to late July of 2009. Thus, we suggest that these strains can be useful as bio-control agents against soft rot caused by Pcc.