2,001 research outputs found
Data for: Tree-planting programs in Himachal Pradesh India 2019
No full textData are derived from publicly released data produced by the forest department of the Government of Himachal Pradesh, India. Dataset-A comprising of 16,674 forest polygon is the result of a 4 year effort on the part of the Himachal Pradesh forest department, and covers 33 forest divisions of Himachal Pradesh. We could not use 1998 polygons in this dataset due to missing data. The digitization of polygons for the rest of the 10 forest divisions in the state of Himachal Pradesh is in process. The data has 31 predictor variables used in training a predictive model to estimate tree cover loss probabilities in these compartments based on ensemble-modeling. Outcome variable included in the dataset is tree cover loss/mortality (dummy; mortality =1, No mortality =0). Predictor variables include variables related to forest dependence, soil and biophysical characteristic, canopy cover and other management practices. For details about prediction algorithm model construction and model predictors, please refer to the readme section.
Dataset-B comprises of 2147 forest polygons where plantations happened from 1 st Jan 2016 to 31 st July, 2019. Total 2809 tree plantations were carried out during this period. But, due to missing data, we could only use 2147 for construction of data. Finally, for our paper (under review), we used 2024 tree
plantations for which we had budgetary data available. The dataset also has same predictor variables as in dataset-A. We used our selected ensemble model to predict tree cover loss probabilities for 2024 tree plantations and then compared budgetary allocations against these probabilities for our analysis.This dataset provides information on the tree plantation programs of the government of the state of Himachal Pradesh, India. Data were released publicly by the government in response to questions posed by Members of the State Legislative Assembly in 2019. We combined this data with other publicly available datasets to provide a more complete picture of plantation programs for the purpose of evaluating their effectiveness.“Impacts of Afforestation on the Provision of Ecosystem Services to Rural Communities in India (ROSES 15).” National Aeronautics and Space Administration (NASA) Award #NNX17AK14G.Rana, Pushpendra; Fleischman, Forrest; Ramprasad, Vijay; Lee, Kangjae. (2020). Data for: Tree-planting programs in Himachal Pradesh India 2019. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/8x0d-gb23
PUSHPENDRA KUMAR's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
PUSHPENDRA KUMAR's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
In the pursuit of middle-classness
No full textMuch of the scholarly literature on urban politics in Delhi discusses how the neoliberal vision of transforming the city into a world class or global city has shaped policies towards the urban poor and translated into eviction of slum dwellers. The scholarship also foregrounds the contentious relationship shared by the poor with the city’s middle classes, where the latter have played a role in influencing urban governance. This chapter, however, tries to go beyond the narratives of exclusionary processes and explore how some sections of the poor aspire to carve a space for themselves and secure a sense of belonging in a city trying to be “world class”. The chapter explains their efforts towards acquiring the cultural capital they think has paved the way for middle classes’ success. © 2022 selection and editorial matter, Manish K Jha and Pushpendra; individual chapters, the contributor
Sequence based DNA markers and genotyping for cereal genomics and breeding
No full textThe last three decades has seen the rapid evolution of a variety of DNA-based molecular markers that are powerful tools for genome analysis and marker-trait association (MTA) studies. Recently, high-throughput sequence-based methods have been developed for use in plant breeding. Sequence-based markers include simple sequence repeats (SSRs; also known as microsatellites) and single nucleotide polymorphisms (SNPs), which now dominate applications in modern genetic analysis. Insertion site-based polymorphisms (ISBPs), copy number variations (CNVs) and presence and absence variations (PAVs) constitute another group of markers that are being applied in a variety of plant systems. Markers may be used for a variety of purposes including diversity analysis, linkage-based QTL mapping, LD-based association mapping and marker assisted selection (MAS). Large sequence datasets (including both, genomic sequences and expressed sequences) are available for many cereals, enabling the mining for large numbers of SSRs, SNPs, ISBPs and CNVs/PAVs. Recombination bins are being used as markers for genotyping mapping populations and QTL analysis in crops such as rice, where reference genome sequences are available. In this chapter we describe the discovery and application of molecular markers using automated sequencing platforms including those based on next generation sequencing (NGS)
A new fractional-order model for defining the dynamics of ending student strikes at a university
No full textKumar, Pushpendra/0000-0002-7755-2837Nowadays, different real-life phenomena are being modelled using fractional-order operators. In this paper, a Caputo-type fractional-order mathematical model is proposed for defining the dynamics of ending student strikes at a university by taking per-year constant admissions. We analyse the possible strategies to control the strikes on the university campus. We prove the existence of a unique global solution for the given fractional-order model using a new characteristic of the well-known Mittag-Leffler function and fixed-point theory. We derive the numerical solution of the proposed model via the Haar wavelet method, which is one of the efficient numerical algorithms. A number of plots are performed, taking different cases, for a good understanding of the proposed problem. The aim of this study is to understand how fractional derivatives are useful to capture memory effects in such problems. All results are given with supporting arguments.Emerging Sources Citation Inde
A high-order space-time spectral method for the distributed-order time-fractional telegraph equation
No full textKumar, Pushpendra/0000-0002-7755-2837In this paper, a high-order and fast numerical method based on the space-time spectral scheme is obtained for solving the space-time fractional telegraph equation. In the proposed method, for discretization of temporal and spatial variables, we consider two cases. We use the Legendre functions for discretization in time. To obtain the full discrete numerical approach, we use a Fourier-like orthogonal function. The convergence and stability analysis for the presented numerical approach is studied and analyzed. Some numerical examples are given for the effectiveness of the numerical approach
A novel numerical method to solve fractional ordinary differential equations with proportional Caputo derivatives
No full textKumar, Pushpendra/0000-0002-7755-2837In this paper, we develop a novel numerical scheme, namely 'NPCM-PCDE,' to integrate fractional ordinary differential equations with proportional Caputo derivatives of the type (pc)D(alpha)u(t) = f(1)(t, u(t)), t >= 0, 0 < alpha < 1 involving a non-linear operator f(1). A new method is developed using a natural discretization of the proportional Caputo derivative and the decomposition method to decompose the non-linear operator f(1). The error and stability analyses for the proposed method are provided. Some illustrated examples are given to compare the solution curves graphically with the exact solution and to prove the utility and efficiency of the method. The proposed NPCM-PCDE is found to be efficient, easy to implement, convergent, and stable.Science Citation Index Expande
A Fractional-Order Improved Fitzhugh-Nagumo Neuron Model
No full textKumar, Pushpendra/0000-0002-7755-2837We propose a fractional-order improved FitzHugh-Nagumo (FHN) neuron model in terms of a generalized Caputo fractional derivative. Following the existence of a unique solution for the proposed model, we derive the numerical solution using a recently proposed L1 predictor-corrector method. The given method is based on the L1-type discretization algorithm and the spline interpolation scheme. We perform the error and stability analyses for the given method. We perform graphical simulations demonstrating that the proposed FHN neuron model generates rich electrical activities of periodic spiking patterns, chaotic patterns, and quasi-periodic patterns. The motivation behind proposing a fractional-order improved FHN neuron model is that such a system can provide a more nuanced description of the process with better understanding and simulation of the neuronal responses by incorporating memory effects and non-local dynamics, which are inherent to many biological systems.Science Citation Index Expande
Supplimentary_Tables – Supplemental material for Inequalities in Utilization of Maternal Reproductive Health Care Services in Urban Bangladesh: A Population-Based Study
No full textSupplemental material, Supplimentary_Tables for Inequalities in Utilization of Maternal Reproductive Health Care Services in Urban Bangladesh: A Population-Based Study by Md. Nuruzzaman Khan, Pushpendra Kumar, Md. Mijanur Rahman, Md. Nazrul Islam Mondal and M. Mofizul Islam in SAGE Open</p
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