Browsing by Author "Chandan Kumar"

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A Rare Case of Chronic Myeloid Leukemia (Cml) in Chronic Phase Presenting as Pleural Effusion
(NLM (Medline), 2020) Vibhu Ranjan Khare; Kailash Kumar Gupta; Nilesh Kumar; Chandan Kumar
[No abstract available]
Aluminium Oxide Thin-Film Based in Vitro Cell-Substrate Sensing Device for Monitoring Proliferation of Myoblast Cells
(Institute of Electrical and Electronics Engineers Inc., 2021) Uvanesh Kasiviswanathan; Chelladurai Karthikeyan Balavigneswaran; Chandan Kumar; Suruchi Poddar; Satyabrata Jit; Neeraj Sharma; Sanjeev Kumar Mahto
We demonstrate cell-substrate interaction on aluminium oxide thin-film in metal-insulator-metal structure followed by the change in dielectric characteristics of Al2O3 as a function of progression of cellular growth. The theoretical calculation of the fabricated biosensor reveals that the changes in the intrinsic elemental parameters are mainly attributed to the cell-induced behavioural changes. © 2002-2011 IEEE.
Device physics and device integration of two-dimensional heterostructures
(Elsevier, 2020) Chandan Kumar; Santanu Das; Satyabrata Jit
Heterostructures are widely used as a basic building block in the advanced semiconductor devices owing to their essential and attractive structural, interfacial, and electronic properties. In general, heterostructures have a comparatively better electrical and optical performance with respect to the layers of individual materials. The charge transport mechanism in the heterostructures depends on various parameters such as materials used, their band alignments, surface behavior, interfacial characteristics, the mobility of charge carriers, etc. Recently, the nanomaterials, especially two-dimensional (2D) materials based 2D heterostructures have attracted various optoelectronics applications due to their unique and interesting properties. In this context, the current chapter presents the developments in the 2D materials-based heterostructures and the physics of device based on 2D heterostructure materials. Depending on charge conduction and bandgap, 2D materials are categorized in semimetal, semiconductor, and insulator. Thus the 2D heterostructures are formed in a variety of combination, namely semimetal/semiconductor, semimetal/insulator, semiconductor/semiconductor, semiconductor/insulator, and several others. The characteristics of these different type of heterostructures have shown that the 2D heterostructure needs their device physics different from convention semiconductor device physics. This chapter elaborates the different 2D heterostructures along with their structural, physical, and electronic properties and the fundamental understanding of those 2D heterostructure based electronic devices. © 2020 Elsevier Inc.
Interrelationship between different characters in pea (Pisum sativum L.) using correlation and path coefficient analysis
(Agri Bio Research Publishers, 2014) Chandan Kumar; Anand K. Singh; Harit Kumar; V. Manju Vani; B.V. Rajkumar
The present study was carried out on correlation and path coefficient analysis in 20 diverse genotypes of pea for 12 yield and yield attributing traits. The study on correlation and path coefficient analysis indicated that the genotypic correlations were higher than their corresponding phenotypic level. The phenotypic and genotypic correlations revealed positive and highly significant association for number of pods per plant with pod yield, days to 1st pod initiation, plant height and number of primary branches per plant, while it registered negative and significant correlations with average pod weight, pod length, pod width, number of seeds per pod and average seed weight. Average pod weight recorded positive and significant correlations with pod length, pod width, number of seeds per pod and average seed weight, whereas it showed negative and significant correlations with days to 1st pod initiation, plant height, number of primary branches per plant and protein content. The path coefficient analysis revealed that the number of pods per plant, average seed weight, average pod weight, pod length, days to 50% flowering and plant height had highest positive direct effect on pod yield at phenotypic level, while number of pods per plant, average pod weight, pod length, number of seeds per pod, shelling % and pod width had the highest positive direct effect on pod yield at genotypic level. Hence, selection based on these characters will be effective in formulating selection inside for improvement of high yielding genotypes in pea.
Islanding detection of interconnected grids based on synchrophasor measurements (PMU)
(Institute of Electrical and Electronics Engineers Inc., 2014) Pritwish Mukhopadhyay; Sunil Patil; A. Rajkumar; Srinivas Chitturi; Chandan Kumar; Ayush Jain; Somesh Gupta
This paper deals with the development of algorithm for islanding detection of Interconnected Grids as a result of Loss of interconnecting transmission line(s). The algorithm must also be able to segregate between the cases of islanding and cases of Loss of Parallel Feeder (LOPF), Generation Trip, and Load Trip. The new method uses 3 phase synchronized measurements obtained from Phasor Measurement Units (PMUs) for the detection of unbalanced islanding of Interconnected Grids. The model developed is simulated on two Area-two machine System in SIMULINK Environment. Furthermore, the algorithm is verified and tested on actual case study for the loss of the synchronization between NEW and SR grid of India. © 2014 IEEE.
Large power network signature analysis with PMU signal-dynamic clustering approach
(Institute of Electrical and Electronics Engineers Inc., 2016) R.K. Pandey; Satish Kumar; Chandan Kumar
The paper presents signature analysis of large power network with Phasor Measurement Unit (PMU) signal using dynamic clustering approach. This concept may become more useful for system operators having large numbers of PMUs deployment in utility power network for observing the variations due to dynamical changes. It is well known as more numbers of PMUs are introduced in the network, there is an exponential increase in data which may require a special technique to understand the behaviour of entire system within time for generating quick control actions for system regulation. In present work, the concept of Clustering Algorithms (CA) to mine the synchrophasor data from PMUs has been applied with practical utility data (POWERGRID). Due to large data generated by PMUs, it becomes imperative to mine data so that important information from dataset can be utilized for monitoring of grid health followed by modified control in order to realize effective system operation. The procedure for extracting information from this data has been discussed through clustering algorithms. © 2015 IEEE.
Sporophyte-directed gametogenesis in Arabidopsis
(Nature Research, 2025) Prakash Sivakumar; Saurabh Prakash Pandey; A. Ramesha; Jayeshkumar Narsibhai Davda; Aparna Singh; Chandan Kumar; Hardik P. Gala; Veeraputhiran Subbiah; Harikrishna Adicherla; Jyotsna Dhawan; L. Aravind; Imran Siddiqi
Plants alternate between diploid sporophyte and haploid gametophyte generations1. In mosses, which retain features of ancestral land plants, the gametophyte is dominant and has an independent existence. However, in flowering plants the gametophyte has undergone evolutionary reduction to just a few cells enclosed within the sporophyte. The gametophyte is thought to retain genetic control of its development even after reduction2. Here we show that male gametophyte development in Arabidopsis, long considered to be autonomous, is also under genetic control of the sporophyte via a repressive mechanism that includes large-scale regulation of protein turnover. We identify an Arabidopsis gene SHUKR as an inhibitor of male gametic gene expression. SHUKR is unrelated to proteins of known function and acts sporophytically in meiosis to control gametophyte development by negatively regulating expression of a large set of genes specific to postmeiotic gametogenesis. This control emerged late in evolution as SHUKR homologues are found only in eudicots. We show that SHUKR is rapidly evolving under positive selection, suggesting that variation in control of protein turnover during male gametogenesis has played an important role in evolution within eudicots. © The Author(s), under exclusive licence to Springer Nature Limited 2025.
Weed management in maize (Zea mays l.) through 4-hydroxyphenylpyruvate dioxygenase inhibitor herbicide with or without a methylated seed oil adjuvant
(Society of Pesticide Science India, 2020) Rakhi Mahto; Chandan Kumar; Rajesh Kumar Singh
The results of a field experiment conducted during winter (rabi) season of 2017-18 at Varanasi to evaluate the bioefficacy of a post-emergence herbicide against weeds and its impact on the yield of maize (Zea mays L.) are reported. The experiment comprised eight weed control treatments viz. topramezone at 20.16, 25.20 and 50.40 g ha–1, topramezone at 20.16 and 25.20 g ha–1 with methylated seed oil (MSO) adjuvant, 2,4-D at 500 g ha–1, hand weeding at 20 and 40 d after sowing (DAS) and unweeded control. Post-emergence application of topramezone @ 25.20 g ha–1 +MSO registered the lowest accumulation of dry matter for all weeds with the highest weed control efficiency and recorded grain yield of 47.12 q ha–1 which was comparable with the hand weeding at 20 and 40 DAS (49.41 q ha–1). Although the maximum seed yield was found in hand weeding treatment, the net return (Rs. 65,214 ha–1) and benefit: cost ratio (3.14) were the maximum in treatment with post-emergence application of topramezone 25.20 g ha–1 +MSO adjuvant. © 2020, Society of Pesticide Science India. All rights reserved.