3,041 research outputs found
Erratum: Cloaking using anisotropic multilayer circular cylinder (AIP Advances (2020) 10 (095312) DOI: 10.1063/5.0012769)
No full textCo-author Mehwish Nisar should have had an additional affiliation noted in the byline of our original manuscript.1 The correct affiliations for this manuscript are as listed above
Subjectivity in Incentive Pay
No full textI investigate the determinants and effects of subjectivity in incentive pay. New forms of incentive pay are increasingly being introduced by company management – for example, bonuses are now linked to wider business goals, such as quality and customer service, company reputation and employee hiring and retention policies, replacing the traditional focus on output or profit measures. A new conceptual work on subjectivity is used to evaluate these incentive pay practices. The analysis shows that a variety of contextual factors influence the organizations to make greater use of subjectivity in incentive pay. I also discuss the performance effects of subjectivity
Earthquake 2005: Some Implications for Environment and Human Capital
No full textLoss of human capital in the form of skills and experiences is one of the outcomes of any natural hazard such as earthquake, drought, famine, and floods. Generally such losses have many implications for further growth of individuals, communities and nations. Disaster management and risk assessment has established a new need to constitute a paradigm of planning frameworks to develop modules for dealing with interactive rehabilitation and reconstruction activities. However, such management still lacks due attention in perspective of the remedy of human capital loss particularly in environmental management. This paper discusses the post-disaster situations with respect to human capital flow and stock losses and some of their implications and suggests some measures to apply in the earthquake-affected areas of Azad Kashmir and NWFP.
Investor influence in portfolio company growth and development strategy
No full textThe author empirically investigates these ideas, especially how investors, through a network of contacts, affect portfolio company growth and development
Classification of Crop Area Using PALSAR, Sentinel-1, and Planet Data for the NISAR Mission
No full textAn algorithm for classifying crop areas using multi-frequency Synthetic Aperture Radar (SAR) and optical data is evaluated for the upcoming NASA ISRO SAR (NISAR) mission and its active crop area products. Two time-series of L-band ALOS-2 and C-band Sentinel-1A images over an agricultural region in the Southern United States are used as the input, as well as high-resolution Planet optical data. To overcome the delay by at least one year of existing landcover maps, training and validation sets of crop/non-crop polygons are derived with the contemporary Planet images. The classification results show that the 80% requirement on the NISAR science accuracy is achievable only with L-band HV input and with a resolution of 100 m. In comparison, HH polarized images do not meet this target. The spatial resolution is a key factor: 100 m is necessary to accomplish the 80% goal, while 10 m do not produce the desired accuracy. Unlike the previous study reporting that C-band performs better than L-band, we found otherwise in this study. This suggests that the performance likely depends on the site of interest and crop types. Alternative to the SAR images, the Normalized Difference Vegetation Index (NDVI) from the Planet data is not effective either as an input to the classification algorithm or as ground truth for training the algorithm. The reason is that NDVI becomes saturated and temporally static, thus rendering crop pixels to be misclassified as non-crop
A new extension of Srivastava's triple hypergeometric functions and their associated properties
No full textIn this paper, we define a new extension of Srivastava's triple hypergeometric functions by using a new extension of Pochhammer's symbol that was recently proposed by Srivastava, Rahman and Nisar [H. M. Srivastava, G. Rahman and K. S. Nisar, Some extensions of the Pochhammer symbol and the associated hypergeometric functions, Iran. J. Sci. Technol. Trans. A Sci. 43 2019, 5, 2601-2606]. We present their certain basic properties such as integral representations, derivative formulas, and recurrence relations. Also, certain new special cases have been identified and some known results are recovered from main results. © 2020 Walter de Gruyter GmbH, Berlin/Boston 2020
Performance Evaluation of UAVSAR and Simulated NISAR Data for Crop/Noncrop Classification Over Stoneville, MS
No full textAbstract Synthetic Aperture Radar (SAR) data are well‐suited for change detection over agricultural fields, owing to high spatiotemporal resolution and sensitivity to soil and vegetation. The goal of this work is to evaluate the science algorithm for the NASA ISRO SAR (NISAR) Cropland Area product using data collected by NASA's airborne Uninhabited Aerial Vehicle SAR (UAVSAR) platform and the simulated NISAR data derived from it. This study uses mode 129, which is to be used for global‐scale mapping. The mode consists of an upper (129A) and lower band (129B), respectively having bandwidths of 20 and 5 MHz. This work uses 129A data because it has a four times finer range resolution compared to 129B. The NISAR algorithm uses the coefficient of variation (CV) to perform crop/noncrop classification at 100 m. We evaluate classifications using three accuracy metrics (overall accuracy, J‐statistic, Cohen's Kappa) and spatial resolutions (10, 30, and 100 m) for crop/noncrop delineating CV thresholds (CVthr) ranging from 0 to 1 in 0.01 increments. All but the 10 m 129A product exceeded NISAR's mission accuracy requirement of 80%. The UAVSAR 10 m data performed best, achieving maximum overall accuracy, J‐statistic, and Kappa values of 85%, 0.62, and 0.60. The same metrics for the 129A product respectively are: 77%, 0.40, 0.36 at 10 m; 81%, 0.55, 0.49 at 30 m; 80%, 0.58, 0.50 at 100 m. We found that using a literature recommended CVthr value of 0.5 yielded suboptimal accuracy (65%) at this site and that optimal CVthr values monotonically decreased with decreasing spatial resolution
The NASA ISRO SAR (NISAR) mission - validation of science measurement requirements
No full textThe NASA ISRO Synthetic Aperture Radar (NISAR) is scheduled for launch early in 2024 from the Satish Dhawan Space Centre (SDSC), at Sriharikota, near Chennai, India. This mission is the result of a collaboration between NASA and Indian Space Research Organization (ISRO), where NASA has contributed elements of the mission such as an L-band SAR, and ISRO has contributed other elements, such as an S-band SAR. After successful launch, the NISAR mission will collect left-looking L-band SAR data over most of the Earth’s land areas twice during every 12-day exact repeat orbit. (once while in an ascending orbit direction and once while in a descending orbit direction). NASA and ISRO have individual and joint requirements on the mission that include the performance of the imaging radars onboard the spacecraft. For example, NASA must demonstrate that this L-band SAR will achieve a set of identified science measurement accuracy requirements that span Ecosystem science, Solid Earth science, and Cryosphere science disciplines. Likewise, ISRO has several applications objectives on both the L-band and S-band data from NISAR that the ISRO science team and project will be developing and testing. Pre-launch and post-launch activities have been planned to validate that these requirements are met. Here, we will discuss how the NASA plans are being executed and will present any initial results at the conference
The influence of financial institutions and investor behaviour on company management practice
No full textNew trends in investor behaviour have emerged in recent years. It is believed that activist investors involve themselves in the companies in which they invest through influencing company strategy and through using their knowledge and contacts to introduce portfolio companies to networks of suppliers and customers, professionals and alternative sources of finance. We carry out a case study research to examine these trends. The findings empirically confirm the importance of organizational structure for the process of investor engagement. They show that independent and more specialized investors are much more involved with their companies than captives. Experienced and knowledgeable partners are also more likely to offer advice and support services. We also find examples of investor influence in company management in areas such as strategy, human resource management and performance evaluation
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