4,639 results on '"Sankar, S."'
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2. Stability analysis of yield and yield related traits in ricebean [Vigna umbellata (Thunb.) Ohwi and Ohashi]
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Philanim, W. S., Kumar, Amit, Shittegar, Nivedita, Sankar, S. Mukesh, Bharadwaj, C., Ngangkham, Umakanta, and Bhattacharjee, Bijoya
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- 2022
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3. Genetics of fertility restoration for the A1 cytoplasmic genic male sterility system in pearl millet (Pennisetum glaucum (L.) R. Br.)
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Chandra, Subhash, Singh, S. P., Satyavathi, C. Tara, Sankar, S. Mukesh, Singh, Anju M., and Bhat, Jayant S.
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- 2022
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4. Blow-up of stochastic semilinear parabolic equations driven by L\'evy noise
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Mohan, Manil T., Pradeep, S., Sankar, S., and Karthikeyan, S.
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Mathematics - Probability - Abstract
The blow-up phenomena of stochastic semilinear parabolic equations with additive as well as linear multiplicative L\'evy noises are investigated in this work. By suitably modifying the concavity method in the stochastic context, we establish the blow-up phenomena of such systems defined on bounded domains.
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- 2024
5. A report of swine erysipelas infection in an organised farm in Kerala
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Sankar, S., Reshma, P.S., Sarika, N., Roshin, M.R., Niranjana, R., Mini, M., Nair, N.D., Krithiga, K., Usha, A.P., and Benjamin, E.D.
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- 2019
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6. Identification of new stable and high iron rich fertility restorers in pearl millet
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Singhal, Tripti, Satyavathi, C. Tara, Singh, S. P., Sankar, S. Mukesh, Anuradha, N., Bharadwaj, C., Kumar, Aruna, Mallik, M., and Singh, Nirupma
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- 2019
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7. Probing quantum decoherence at Belle II and LHCb
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Alok, Ashutosh Kumar, Banerjee, Subhashish, Chundawat, Neetu Raj Singh, and Sankar, S. Uma
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High Energy Physics - Phenomenology ,High Energy Physics - Experiment - Abstract
With the advent of Belle II and the LHCb upgrade, the precision measurements of various B-Physics observables are on cards. This holds significant potential for delving into physics beyond the standard model of electroweak interactions. These measurements can also serve as means to establish limits on phenomena occurring at much finer length scales, such as quantum decoherence, which may arise due to potential discreteness in space-time or non-trivial topological effects. In this work, we set up the formalism to investigate the impact of quantum decoherence on several potential observables in $B$ meson systems. The approach employs the trace-preserving Kraus operator formalism, extending unitary evolution to non-unitary dynamics while maintaining complete positivity. In this formalism, the decoherence effects are parametrized in terms of a single parameter. Through the analysis of purely leptonic, semileptonic, and non-leptonic decays of $B$ mesons, we identify observables that could, in principle, be influenced by decoherence. The theoretical expressions are provided without neglecting the impact of decay width difference ($\Delta \Gamma$) and $CP$ violation in mixing. Considering that many of these observables can be measured with high precision using the abundant data collected by LHCb and Belle II, our formalism can be applied to establish constraints on the decoherence parameter through multiple decay channels. This offers an alternative set-up for such studies, which, at present, are predominantly conducted in the neutrino sector., Comment: 32 pages; matches accepted version in JHEP
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- 2024
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8. Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration
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Dhinakaran, D., Sankar, S. M. Udhaya, Selvaraj, D., and Raja, S. Edwin
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Computer Science - Cryptography and Security - Abstract
As the integration of Internet of Things devices with cloud computing proliferates, the paramount importance of privacy preservation comes to the forefront. This survey paper meticulously explores the landscape of privacy issues in the dynamic intersection of IoT and cloud systems. The comprehensive literature review synthesizes existing research, illuminating key challenges and discerning emerging trends in privacy preserving techniques. The categorization of diverse approaches unveils a nuanced understanding of encryption techniques, anonymization strategies, access control mechanisms, and the burgeoning integration of artificial intelligence. Notable trends include the infusion of machine learning for dynamic anonymization, homomorphic encryption for secure computation, and AI-driven access control systems. The culmination of this survey contributes a holistic view, laying the groundwork for understanding the multifaceted strategies employed in securing sensitive data within IoT-based cloud environments. The insights garnered from this survey provide a valuable resource for researchers, practitioners, and policymakers navigating the complex terrain of privacy preservation in the evolving landscape of IoT and cloud computing, Comment: 33 pages
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- 2024
9. Hydroponics mediated seedling dehydration stress revealed variable tolerance in pearl millet (Pennisetum glaucum L.) minicore collection
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Kapoor, Chandan, Anamika, Singh, Sumer Pal, Kumar, Sudhir, Sankar, S. Mukesh, Singh, Nirupma, and Singhal, Tripti
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- 2024
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10. Internet of Things based Ambient assisted living for Elderly People Health Monitoring
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Sankar, S., Srinivasan, P., and Saravanakumar, R.
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- 2018
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11. Mobility and Energy Aware Routing Protocol for Healthcare IoT Application
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Sankar, S. and Srinivasan, P.
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- 2018
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12. Global existence and non-existence of weak solutions for non-local stochastic semilinear reaction-diffusion equations driven by a fractional noise
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Sankar, S., Mohan, Manil T., and Karthikeyan, S.
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Mathematics - Probability - Abstract
In the present paper, we study the existence and blow-up behavior to the following stochastic non-local reaction-diffusion equation: \begin{equation*} \left\{ \begin{aligned} du(t,x)&=\left[(\Delta+\gamma) u(t,x)+\int_{D}u^{q}(t,y)dy -ku^{p}(t,x)+\delta u^{m}(t,x)\int_{D}u^{n}(t,y)dy \right]dt &\quad+\eta u(t,x)dB^{H}(t), u(t,x)&=0, \ \ t>0, \ \ x\in \partial D, u(0,x)&=f(x) \geq 0, \ \ x\in D, \end{aligned} \right. \end{equation*} where $D\subset \mathbb{R}^{d}\ (d \geq 1)$ is a bounded domain with smooth boundary $\partial D$. Here, $k>0, \gamma, \delta, \eta \geq 0$ and $p,q,n>1,\ m\geq 0$ with $m+n \geq q\geq p$. The initial data $f $ is a non-negative bounded measurable function in class $C^{2}$ which is not identically zero. Here, $\left\{ B^{H}(t) \right\}_{t \geq 0} $ is a one-dimensional fractional Brownian motion with Hurst parameter $\frac{1}{2} \leq H<1$ defined on a filtered probability space $\left( \Omega, \mathcal{F}, (\mathcal{F}_{t})_{t \geq 0}, \mathbb{P} \right)$. First, we estimate a lower bound for the finite-time blow-up and by choosing a suitable initial data, we obtain the upper bound for the finite-time blow-up of the above equation. Next, we provide a sufficient condition for the global existence of a weak solution of the above equation. Further, we obtain the bounds for the probability of blow-up solution.
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- 2023
13. A Neural Radiance Field-Based Architecture for Intelligent Multilayered View Synthesis
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Dhinakaran, D., Sankar, S. M. Udhaya, Elumalai, G., and kumar, N. Jagadish
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Computer Science - Networking and Internet Architecture ,Computer Science - Artificial Intelligence - Abstract
A mobile ad hoc network is made up of a number of wireless portable nodes that spontaneously come together en route for establish a transitory network with no need for any central management. A mobile ad hoc network (MANET) is made up of a sizable and reasonably dense community of mobile nodes that travel across any terrain and rely solely on wireless interfaces for communication, not on any well before centralized management. Furthermore, routing be supposed to offer a method for instantly delivering data across a network between any two nodes. Finding the best packet routing from across infrastructure is the major issue, though. The proposed protocol's major goal is to identify the least-expensive nominal capacity acquisition that assures the transportation of realistic transport that ensures its durability in the event of any node failure. This study suggests the Optimized Route Selection via Red Imported Fire Ants (RIFA) Strategy as a way to improve on-demand source routing systems. Predicting Route Failure and energy Utilization is used to pick the path during the routing phase. Proposed work assess the results of the comparisons based on performance parameters like as energy usage, packet delivery rate (PDR), and end-to-end (E2E) delay. The outcome demonstrates that the proposed strategy is preferable and increases network lifetime while lowering node energy consumption and typical E2E delay under the majority of network performance measures and factors.
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- 2023
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14. Evaluation of pearl millet [Pennisetum glaucum (L.) R. Br.] for grain iron and zinc content in different agro climatic zones of India
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Anuradha, N., Satyavathi, C. Tara, Meena, M. C., Sankar, S. Mukesh, Bharadwaj, C., Bhat, Jayant, Singh, Omvir, and Singh, S. P.
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- 2017
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15. Impact of Nanosilicon on the Structural, Thermal and Electrical Behaviour of Polypyrrole Nanocomposites for Gas Sensing Applications
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Arun, K., Sen, Sangita, Sunisha, K. K., Sankar, S., and Ramesan, M. T.
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- 2024
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16. Copper alumina nanoparticles-reinforced poly(pyrrole-co-indole): characterization, dielectric properties and gas-sensing applications
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Sankar, S. and Ramesan, M. T.
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- 2024
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17. Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection
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Dhinakaran, D., Srinivasan, L., Selvaraj, D., and Sankar, S. M. Udhaya
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
Diabetic Retinopathy (DR) is a significant cause of blindness globally, highlighting the urgent need for early detection and effective treatment. Recent advancements in Machine Learning (ML) techniques have shown promise in DR detection, but the availability of labeled data often limits their performance. This research proposes a novel Semi-Supervised Graph Learning SSGL algorithm tailored for DR detection, which capitalizes on the relationships between labelled and unlabeled data to enhance accuracy. The work begins by investigating data augmentation and preprocessing techniques to address the challenges of image quality and feature variations. Techniques such as image cropping, resizing, contrast adjustment, normalization, and data augmentation are explored to optimize feature extraction and improve the overall quality of retinal images. Moreover, apart from detection and diagnosis, this work delves into applying ML algorithms for predicting the risk of developing DR or the likelihood of disease progression. Personalized risk scores for individual patients are generated using comprehensive patient data encompassing demographic information, medical history, and retinal images. The proposed Semi-Supervised Graph learning algorithm is rigorously evaluated on two publicly available datasets and is benchmarked against existing methods. Results indicate significant improvements in classification accuracy, specificity, and sensitivity while demonstrating robustness against noise and outlie rs.Notably, the proposed algorithm addresses the challenge of imbalanced datasets, common in medical image analysis, further enhancing its practical applicability., Comment: 13 pages, 6 figures
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- 2023
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18. Optimizing diabetic retinopathy disease prediction using PNAS, ASHA, and transfer learning
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Sankar, S. M. Udhaya, primary, Dhinakaran, D., additional, Selvaraj, R., additional, Verma, Shrey Kumar, additional, Natarajasivam, R., additional, and Kishore, P. C. Praveen, additional
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- 2024
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19. First results from the JWST Early Release Science Program Q3D: Benchmark Comparison of Optical and Mid-IR Tracers of a Dusty, Ionized Red Quasar Wind at z=0.435
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Rupke, D. S. N., Wylezalek, D., Zakamska, N. L., Veilleux, S., Bertemes, C., Ishikawa, Y., Liu, W., Sankar, S., Vayner, A., Lim, H. X. G., McCrory, R., Murphree, G., Whitesell, L., Shen, L., Liu, G., Barrera-Ballesteros, J. K., Chen, H. -W., Diachenko, N., Goulding, A. D., Greene, J. E., Hainline, K. N., Hamann, F., Heckman, T., Johnson, S. D., Lutz, D., Lützgendorf, N., Mainieri, V., Nesvadba, N., Ogle, P., and Sturm, E.
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Astrophysics - Astrophysics of Galaxies - Abstract
The [OIII] 5007 A emission line is the most common tracer of warm, ionized outflows in active galactic nuclei across cosmic time. JWST newly allows us to use mid-infrared spectral features at both high spatial and spectral resolution to probe these same winds. Here we present a comparison of ground-based, seeing-limited [OIII] and space-based, diffraction-limited [SIV] 10.51 micron maps of the powerful, kiloparsec-scale outflow in the Type 1 red quasar SDSS J110648.32+480712.3. The JWST data are from the Mid-InfraRed Instrument (MIRI). There is a close match in resolution between the datasets (0."6), in ionization potential of the O$^{+2}$ and S$^{+3}$ ions (35 eV), and in line sensitivity (1e-17 to 2e-17 erg/s/cm$^2$/arcsec$^2$). The [OIII] and [SIV] line shapes match in velocity and linewidth over much of the 20 kpc outflowing nebula, and [SIV] is the brightest line in the rest-frame 3.5-19.5 micron range, demonstrating its usefulness as a mid-IR probe of quasar outflows. [OIII] is nevertheless intriniscally brighter and provides better contrast with the point-source continuum, which is strong in the mid-IR. There is a strong anticorrelation of [OIII]/[SIV] with average velocity, which is consistent with a scenario of differential obscuration between the approaching (blueshifted) and receding (redshifted) sides of the flow. The dust in the wind may also obscure the central quasar, consistent with models that attribute red quasar extinction to dusty winds., Comment: resubmitted to match published version; minor changes
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- 2023
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20. A Secure Third-Party Auditing Scheme Based on Blockchain Technology in Cloud Storage
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Sankar, S. M. Udhaya, Selvaraj, D., Monica, G. K., and Katiravan, Jeevaa
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Computer Science - Cryptography and Security - Abstract
With the help of a shared pool of reconfigurable computing resources, clients of the cloud-based model can keep sensitive data remotely and access the apps and services it offers on-demand without having to worry about maintaining and storing it locally. To protect the privacy of the public auditing system that supports the cloud data exchange system. The data's owner has the ability to change it using the private key and publishes it in the cloud. The RSA Technique is used to produce key codes for the cloud services atmosphere's privacy utilizing the system's baseboard number, disc number, and client passcode for validation. The method is based on a cutting-edge User End Generated (UEG) privacy technique that minimizes the involvement of a third party and improves security checks by automatically documenting destructive activities. To strengthen extensibility, various authorization-assigning modalities and block access patterns were established together with current operational design approaches. In order to meet the demands for decentralization, fine-grained auditability, extensibility, flexibility, and privacy protection for multilevel data access in networked environments, the suggested approach makes use of blockchain technology. According to a thorough performance and security assessment, the current proposal is exceptionally safe and effective.
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- 2023
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21. Safe Routing Approach by Identifying and Subsequently Eliminating the Attacks in MANET
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Sankar, S. M. Udhaya, Dhinakaran, D., Deboral, C. Cathrin, and Ramakrishnan, M.
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Computer Science - Networking and Internet Architecture ,Computer Science - Cryptography and Security - Abstract
Wireless networks that are decentralized and communicate without using existing infrastructure are known as mobile ad-hoc networks. The most common sorts of threats and attacks can affect MANETs. Therefore, it is advised to utilize intrusion detection, which controls the system to detect additional security issues. Monitoring is essential to avoid attacks and provide extra protection against unauthorized access. Although the current solutions have been designed to defeat the attack nodes, they still require additional hardware, have considerable delivery delays, do not offer high throughput or packet delivery ratios, or do not do so without using more energy. The capability of a mobile node to forward packets, which is dependent on the platform's life quality, may be impacted by the absence of the network node power source. We developed the Safe Routing Approach (SRA), which uses behaviour analysis to track and monitor attackers who discard packets during the route discovery process. The attacking node recognition system is made for irregular routing node detection to protect the controller network's usual properties from becoming recognized as an attack node. The suggested method examines the nearby attack nodes and conceals the trusted node in the routing pathway. The path is instantly assigned after the initial discovery of trust nodes based on each node's strength value. It extends the network's life span and reduces packet loss. In terms of Packet Delivery Ratio (PDR), energy consumption, network performance, and detection of attack nodes, the suggested approach is contrasted with AIS, ZIDS, and Improved AODV. The findings demonstrate that the recommended strategy performs superior in terms of PDR, residual energy, and network throughput.
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- 2023
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22. Outsourced Analysis of Encrypted Graphs in the Cloud with Privacy Protection
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Selvaraj, D., Sankar, S. M. Udhaya, Dhinakaran, D., and Anish, T. P.
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Computer Science - Cryptography and Security - Abstract
Huge diagrams have unique properties for organizations and research, such as client linkages in informal organizations and customer evaluation lattices in social channels. They necessitate a lot of financial assets to maintain because they are large and frequently continue to expand. Owners of large diagrams may need to use cloud resources due to the extensive arrangement of open cloud resources to increase capacity and computation flexibility. However, the cloud's accountability and protection of schematics have become a significant issue. In this study, we consider calculations for security savings for essential graph examination practices: schematic extraterrestrial examination for outsourcing graphs in the cloud server. We create the security-protecting variants of the two proposed Eigen decay computations. They are using two cryptographic algorithms: additional substance homomorphic encryption (ASHE) strategies and some degree homomorphic encryption (SDHE) methods. Inadequate networks also feature a distinctively confidential info adaptation convention to allow the trade-off between secrecy and data sparseness. Both dense and sparse structures are investigated. According to test results, calculations with sparse encoding can drastically reduce information. SDHE-based strategies have reduced computing time, while ASHE-based methods have reduced stockpiling expenses.
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- 2023
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23. Hydroxyapatite nanoparticles reinforced polyvinyl alcohol/chitosan blend for optical and energy storage applications
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Ramesan, M.T., Sankar, S., Kalladi, Ayisha Jemshiya, Abdulla, A.C. Labeeba, and Bahuleyan, B.K.
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Founding ,X-rays -- Diffraction ,Electrical conductivity ,Infrared spectroscopy ,Nanoparticles ,Activation energy ,Computer storage devices ,Calorimetry ,Polymers ,Energy management systems ,Data storage device ,Engineering and manufacturing industries ,Science and technology - Abstract
Biopolymer blend nanocomposite films composed of polyvinyl alcohol (PVA) and chitosan (CS) with varying quantities of hydroxyapatite (HA) nanoparticles were developed using a green solution casting method. The formation of blend nanocomposite was confirmed by Fourier-transform infrared spectroscopy (FTIR), ultraviolet-visible (UV) spectrometer, field-emission scanning electron microscopy (FE-SEM), X-ray diffraction (XRD), thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC). Mechanical parameters such as tensile strength, percentage elongation at break, hardness, dielectric constant, and temperature-dependent alternating current (AC) conductivity were analyzed. The bonding between the nanoparticles and PVA/CS blend was verified by the shift in distinctive peaks of blend in the nanocomposites to a higher wavenumber in the FTIR spectra. The UV spectra demonstrated the difference in absorbance and transmittance of the PVA/CS blend with the reinforcement of HA nanofillers. The bandgaps of the nanocomposites marginally decreased with an increase in nanoparticle loading. The SEM and XRD patterns revealed the ordered arrangement of the blend matrix due to the presence of nanoparticles. The assessment of thermal characteristics obtained from DSC and TGA demonstrated a clear increase in phase transition temperature and thermal stability of nanocomposites. The electrical conductivity measurement indicated a rise in dielectric constant and AC conductivity of blend nanocomposites with the addition of nanoparticles. The temperature-dependent AC conductivity showed a reduction in activation energy as temperature and nanoparticle loading increased. The tensile strength and surface hardness of the PVA/CS blend nanocomposite increased with the dosage of HA content in the blend matrix. Highlights * A series of polyvinyl alcohol (PVA)/chitosan (CS)/hydroxyapatite (HA) nanocomposites were prepared by the green method * Enhanced optical property, thermal stability, and glass transition temperature * Possess excellent dielectric constant and alternating current conductivity * The inclusion of HA increased the mechanical strength of the PVA/CS blend * A potential blend nanocomposite for flexible optoelectronic and charge storage devices. KEYWORDS AC conductivity, chitosan, crystallinity, dielectric constant, hydroxyapatite, polyvinyl alcohol, tensile strength, thermal properties, 1 | INTRODUCTION In recent years, many additional breakthroughs have been achieved to reduce environmental threats and crises. The development of economically and environmentally friendly polymers and their enhanced production [...]
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- 2024
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24. Breeding Climate Resilient Pearl Millet Cultivars for India
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Tara Satyavathi, C., Mukesh Sankar, S., Singh, S. P., Kapoor, Chandan, Soumya, S. L., Ambawat, Supriya, Khandelwal, Vikas, Srivastava, Rakesh K., Gobu, R., Kole, Chittaranjan, Series Editor, Srivastava, Rakesh K., editor, Satyavathi, C. Tara, editor, and Varshney, Rajeev K., editor
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- 2024
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25. Event Categorization from News Articles Using Machine Learning Techniques
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Shanmugavadivel, Kogilavani, Subramanian, Malliga, Vasantharan, K., Prethish, G. A., Sankar, S., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Chakravarthi, Bharathi Raja, editor, B, Bharathi, editor, García Cumbreras, Miguel Ángel, editor, Jiménez Zafra, Salud María, editor, Subramanian, Malliga, editor, Shanmugavadivel, Kogilavani, editor, and Nakov, Preslav, editor
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- 2024
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26. Green Building Rating Systems: A Comparative Study of Global and Indian Standards
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Anandh, K. S., Soundarya Priya, M. G., Senthamizh Sankar, S., Prasanna, K., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Gencel, Osman, editor, Balasubramanian, M., editor, and Palanisamy, T., editor
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- 2024
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27. An Evolutionary Computation-Based Federated Learning for Host Intrusion Detection in Real-Time Traffic Analysis
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Suresh, A., Dwarakanath, B., Nanda, Ashok Kumar, Santhosh Kumar, P., Sankar, S., and Cheerla, Sreevardhan
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- 2024
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28. Reinforcement of Asparagus racemosus as a bio-filler agent in polyvinyl alcohol/chitosan blend for flexible electronic devices using a green approach
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Ramesan, M. T., Kalladi, Ayisha Jemshiya, Mathew, Jithin, Meera, K., Sankar, S., and Verma, Meenakshi
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- 2024
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29. LQETA-RP: link quality based energy and trust aware routing protocol for wireless multimedia sensor networks
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Kirubasri, G., Sankar, S., Guru Prasad, M. S., Naga Chandrika, G., and Ramasubbareddy, Somula
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- 2024
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30. Efficacy of d-dimer level as a prognostic indicator in COVID-19 infection
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Reshma S, Letha V, Deepa S, and Sankar S
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coronavirus disease 2019 ,coagulopathy ,d-dimer ,Medicine - Abstract
Background: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, was first reported in China in 2019 and later declared a pandemic. Coagulation abnormalities play the pivotal role in causing most of the symptoms related to COVId-19 infection. As the pathophysiology of COVID-19 is now being understood, it is found that these coagulation abnormalities, especially thrombosis are very well related to the severity of the disease. D-dimer is a potential biomarker for various thrombotic diseases. This study aims to determine the efficacy of D-dimer, Fibrinogen, Prothrombin time (PT), and activated partial thromboplastin time (aPTT) to determine the severity of COVID-19 infection. Aims and Objectives: The objectives of the study are as follows: (1). To determine the efficacy of D-dimer in assessing the severity of the disease in COVID-19 infection. (2). To determine the role of PT, aPTT, and Fibrinogen levels in assessing the severity of COVID-19 Infection. Materials and Methods: The study was conducted among 160 reverse transcription polymerase chain reaction confirmed COVID-19 patients admitted in Government Medical College, Kottayam. The sociodemographic profile and presenting complaints were obtained using a structured format. Blood samples were collected on the day of admission, the 5th day, and 10th day. Samples are tested for levels of D-dimer, Fibrinogen, PT, and aPTT. Based on the clinical outcome, patients were categorized into two groups: Mild group and severe group. Results: The difference between the median D-dimer at admission in the severe group (1339 ng/mL) and the mild group (390 ng/mL) was statistically significant. Area under the receiver operating characteristic (ROC) for D-dimer was 0.774 and cut-off value was found to be 569 μg/mL with a sensitivity of 83.3% and a specificity of 61.2%. The ROC curve analysis, area under the curve of PT also can be used for diagnosis with 76.3% with 76.3% sensitivity and 61.2% of specificity. Conclusion: Coagulopathy is an important complication of COVID-19 patients and is related to severity as well as prognosis of disease. D-dimer and PT can be used as reliable and convenient parameter for assessing coagulopathy and severity in COVID-19 infected patients.
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- 2024
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31. Omics-driven utilization of wild relatives for empowering pre-breeding in pearl millet
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Kapoor, Chandan, Anamika, Mukesh Sankar, S., Singh, S. P., Singh, Nirupma, and Kumar, Sudhir
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- 2024
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32. Induction of in vitro micro rhizomes and assessment of yield, quality, and clonal fidelity in ex vitro established plants of ginger (Zingiber officinale Rosc.)
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Aravind, Sharon, E, Nisthar, Chaithanya, K. C., Sivaranjani, R., Kandiannan, K., Srinivasan, V., Sankar, S. Mukesh, and Babu, K. Nirmal
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- 2024
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33. A test of market efficiency on investment performance of equity shares
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Saravanakumar, S., Mahadevan, A., Prabhakaran, K., and Sankar, S.
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- 2011
34. Dynamics of managing growth in Indian automobile industry
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Saravanakumar, S., Gunasekar, S., Punitha, U., and Sankar, S.
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- 2011
35. A study on real estate buyers attitude towards selecting a land
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Saravanakumar, S., Gunasekar, S., Punitha, U., and Sankar, S.
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- 2011
36. Variety Pusa 1201 (MH 1849)
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Singh, S. P., Satyavathi, C. Tara, Sankar, S. Mukesh, Rajkumar, Kanhaiya, Krishan, Verma, A. P. S., Narayan, Mithlesh, Bhat, Jayant, Kumar, M. B. Arun, Singh, Gyanender, Bana, R. S., and Rajkumar
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- 2018
37. Variety Pusa Composite 701 (MP 535)
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Satyavathi, C. Tara, Singh, S. P., Sankar, S. Mukesh, Bhat, Jayant, Rajkumar, Kanhaiya, Krishan, Verma, A. P. S., Kumar, M. B. Arun, and Rajkumar
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- 2018
38. Perspectives of MutMap and Its Variants Towards Next-Generation Plant Breeding
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Soumya, S. L., primary and Sankar, S. Mukesh, additional
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- 2024
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39. Constraints on the Doublet Left-Right Symmetric Model from Higgs data
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Karmakar, Siddhartha, More, Jai, Pradhan, Akhila Kumar, and Sankar, S. Uma
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High Energy Physics - Phenomenology - Abstract
We study the constraints on the doublet left-right symmetric model (DLRSM) arising due to the Higgs data. The $SU(2)_L$ symmetry of this model is broken by three vacuum expectation values, $\kappa_1$, $\kappa_2$, and $v_L$. Most studies of this model assume that the ratios $r = \kappa_2/\kappa_1$ and $w = v_L/\kappa_1$ are very small. In this work, we study the constraints imposed on $r$ and $w$ by the Higgs data from LHC. We consider the most general scalar potential and calculate the masses of the CP-even scalars and the couplings of the lightest of these scalars to itself, to $W$ and $Z$ gauge bosons, and to the third generation quarks. We find that there is no lower bound on either $r$ or $w$. Equating the mass of the lightest CP-even scalar to $125$ GeV leads to an upper limit $w < 6.7$. The requirement that the Yukawa coupling of the quarks to the Higgs bidoublet of the model should be perturbative yields the upper bounds $r < 0.8$ and $w < 3.5$. The Yukawa coupling of the bottom quark to the lightest CP-even scalar strongly disfavours value of $r, w < 0.1$ and shows a marked preference for values of $w \sim \mathcal{O}(1)$., Comment: Changes in text to improve clarity. Journal version
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- 2022
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40. Existence of global and explosive mild solutions of fractional reaction-diffusion system of semilinear SPDEs with fractional noise
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Sankar, S., Mohan, Manil T., and Karthikeyan, S.
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Mathematics - Analysis of PDEs ,Mathematics - Probability ,35R60, 60H15, 74H35 - Abstract
In this paper, we investigate the existence and finite-time blow-up for the solution of a reaction-diffusion system of semilinear stochastic partial differential equations (SPDEs) subjected to a two-dimensional fractional Brownian motion given by \begin{eqnarray*} du_{1}(t,x)&=&\left[ \Delta_{\alpha}u_{1}(t,x)+\gamma_{1}u_{1}(t,x)+u^{1+\beta_{1}}_{2}(t,x) \right]dt &\qquad \ \ +k_{11}u_{1}(t,x)dB^{H}_{1}(t)+k_{12}u_{1}(t,x)dB^{H}_{2}(t), du_{2}(t,x)&=&\left[ \Delta_{\alpha}u_{2}(t,x)+\gamma_{2}u_{2}(t,x)+u^{1+\beta_{2}}_{1}(t,x) \right]dt &\qquad \ \ +k_{21}u_{2}(t,x)dB^{H}_{1}(t)+k_{22}u_{2}(t,x)dB^{H}_{2}(t), \end{eqnarray*} for $x \in \mathbb{R}^{d},\ t \geq 0$, along with \begin{equation*} \begin{array}{ll} u_{i}(0,x)=f_{i}(x), &x \in \mathbb{R}^{d}, \nonumber \end{array} \end{equation*} where $\Delta_{\alpha}$ is the fractional power $-(-\Delta)^{\frac{\alpha}{2}}$ of the Laplacian, $0<\alpha \leq 2$ and $\beta_{i}>0,\ \gamma_{i}>0$ and $k_{ij}\geq 0, i,j=1,2$ are constants. We provide sufficient conditions for the existence of a global weak solution. Under the assumption that $\beta_{1}\geq \beta_{2}>0$ with Hurst index $ 1/2 \leq H < 1,$ we obtain the blow-up times for an associated system of random partial differential equations in terms of an integral representation of exponential functions of Brownian motions. Moreover, we provide lower and upper bounds for the finite-time blow-up of the above system of SPDEs and obtain the upper bounds for the probability of non-explosive solutions to our considered system.
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- 2022
41. Guidance on mucositis assessment from the MASCC Mucositis Study Group and ISOO: an international Delphi studyResearch in context
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Ragda Abdalla-Aslan, Pierluigi Bonomo, Dorothy Keefe, Nicole Blijlevens, Katrina Cao, Yin Ting Cheung, Eduardo Rodrigues Fregnani, Robert Miller, Judith Raber-Durlacher, Joel Epstein, Ysabella Van Sebille, Elisa Kauark-Fontes, Abhishek Kandwal, Emma McCurdy-Franks, Joel Finkelstein, Victoria McCarvell, Yehuda Zadik, Giulia Ottaviani, Rui Amaral Mendes, Caroline Margina Speksnijder, Hannah Rose Wardill, Paolo Bossi, Alexa Laheij, Arghavan Tonkaboni, Jacqui Scott, Rania Abasaeed, Adel Kauzman, Adriana Do Socorro Lima Flato, Adwaita Gore, Anne-Marie Hardman, Agnes Horvath, Allan Hovan, Aisha Al-Jamaei, Aya koizumi, Alan Santos-Silva, Alessandra Majorana, Alexandre Giannini, Aléxia Teixeira, Muhammad Ali Shazib, Alison Melvin, Aluísio Miranda Filho, Amanda Gruza, Amber Brown-Dahl, Amit Harilall, Amr El Maghrabi, Ana Andabak Rogulj, Ana Raphaela Curvo, Ana Laura Soares, Andrea Stringer, Andréa Moreira, Andy Kurtzweil, Angelyn Salaberry, Anne Blazy, Anne Margrete Gussgard, Anne Marie Lynge Pedersen, Annette Freidank, Anura Ariyawardana, Adrian Ramseier, Jann Arends, Ariel Blanchard, Adriana Sesti Paz, Angela Thermann, Augusto Poropat, Azael Freites-Martinez, Abdul Rahman Al-Azri, Bente Brokstad Herlofson, Sitaraman BalajiSubramanian, Barbara Ballantyne, Kivanc Bektas-Kayhan, Bengt Hasséus, Benjamin Kaffenberger, Bernar Benites, Bernice Kwong, Beth Test, Fernando Chiantia, Bo Pettersson, Bomi Framroze, Božana Lončar Brzak, Brittany Dulmage, Sorin Buga, Caroline Spekssnijder, Carlton Brown, Antonio Carlos Moura de Melo, Ana Carolina Ribeiro, Caroline Silva, Caroline Fulop, Carryn Anderson, Catherine Flaitz, Cathy Massoud, Cesar Migliorati, Callie Gross, Chiara Gandini, Charles Loprinzi, Charlotte de Mooij, Catherine Hong, Ying Chu Choi, Maria Choy, Christine Boers-Doets, Leonard Schmeel, Cibele Nagano, Maria Coeli Franco, Courtney Subramaniam, Carolyn Patrick, Catherine Poh, Cristina Neuenschwander, Cesar Virgen, Dorothea Riesenbeck, Dale Weaver, Daniel Cohen Goldemberg, Daniel Sundaresan, Daniela Nunes, Danyel Perez, Daphine Travassos, David Yang, Daniela Ribeiro, Dean Kolbinson, Deborah Buick, Deborah Saunders, Juliane De Bortolli, Deepika Chugh, Denise Markstrom, Denise Travassos, Dianna Weikel, Dimitra Galiti, Dinusha Peiris, Fedja Djordjevic, Pankaj Singhai, Douglas Peterson, Douglas Fonseca, Doreen Pon, Iuliia Kovalenko, Aleksandra Polonskaia, Rogério Caldas, Kevin Saganski, Julia Néri, Dennis Abbott, Abhijna Vithal Yergolkar, Cristina Del Conte, Januaria Passos, Katia Uezu, Paula Silva, Steven Gilbert, Keng Yeoh, Kunal Jain, Madhup Rastogi, Satheeshkumar Poolakkad Sankaran, Deborah Manne, Evgeniya Shatokhina, Esther Adebayo-Olojo, Eszter Somogyi-Ganss, Eli Ehrenpreis, Wilber Bernaola-Paredes, Eduardo Fregnani, Elaci Cardoso, Elena Bardellini, Eleni Arvanitou, Elisa Kauark Fontes, Elise Bruning, Eloise Neumann, Elsa Madureira, Marcia Ramires, Erofili Papadopoulou, Etiene Munhoz, Fred Spijkervet, Fabiana Granzotto, Fabiana Martins, Fabio Alves, Farah Mougeot, Federica Aielli, Fernanda Pigatti, Fernanda Fonseca, Firoozeh Samim, Flavia Carvalho, Florence Cuadra Zelaya, Cesar Freytes, Gabriela da Silveira, Gabriela Torino, Gabriela Martins, Geisa Silva, Gemma Caro, Gemma Bryan, Georgette Radford, Ghanyah Al-Qadami, Giorgia Albini, Gisele Mainville, Georgios Gkardiakos, Gleidston Potter, Gulbin Hoeberechts, Gordon Howarth, Grace Bradley, Gunjan Verma, Gustavo dos Santos, Margaret Randles-Guzzardi, Hanlie Engelbrecht, Hannah Wardill, Heidi Hansen, Iquebal Hasan, Hironobu Hata, Helena Ullgren, Heliton Spindola Antunes, Heloísa Laís dos Santos, Howard Weld, Helen McInnes, Hans Peter Jungbluth, Hsiaofen Weng, Ian Hewson, Ingrid Santos, Jorge Illarramendi, Ines Semendric, Rol Menge, Inger Von Bultzingslowen, Maria da Gloria de Melo, Iona Leong, Isabella Fonseca, Isadora Kalif, James Carroll, Janet Coller, Johann Beck-Mannagetta, Joanne Bowen, Jose Meurer, Ricky McCullough, Jennifer Powers, Jesus Gomez, Jimma Lenjisa, jaya Vangara, Jasna Leko, Jane Fall-Dickson, Jean-Luc Mougeot, Joan Fox, Jolien Robijns, Jonn Wu, Patricio Palma, Jaya Amaram-Davila, Jim Siderov, Juliana Dantas, Juliana Jasper, Juliana Monteiro, Julia Bruno, julie pfeffer, Julija Jovanovic Ristivojevic, Juliana Brito, Jyothsna Kuriakose, Yuji Kabasawa, Kanan Dave, Karin Barczyszyn, Karol Sartori Lima, Kate Secombe, Kate White, Kate Cooper, Kouji Katsura, Karen Biggs, Katharine Ciarrocca, Kristopher Dennis, Ken Tomizuka, Kevin Hendler, Ikuko Komo, Kristina Skallsjö, Kristy Hodgins, Katia Rupel, Keiko Tanaka, Seema Kurup, Luiz Gueiros, Larissa Agatti, Laura Garzona-Navas, Letícia Guerra, Leila Portela, Leilani Iossi, Linda Elting, Lene Baad-Hansen, Leslie Reeder, Leticia Lang, Liciane Menezes, Liliana Braun, Liliane Grando, Mathew Lim, Lina Fernandez, Lucy McKeage, Luana Campos, Luciana Simonato, Luciana Muniz, Leah van Draanen, Mieko Mizutani, Tsai-Wei Huang, Mahfujul Riad, Mahnoor Nazar, Maíra Souza, Mariana Minamisako, Manoela Pereira, Carlos Mantelato, Márcio Diniz-Freitas, Marco Montezuma, Marco Andrade, Marcos Santos, Margherita Gobbo, Maria Caterina Fortuna, Mariana Vitor, Joana Marinho, Alina Markova, Marlyse Knuchel, Marta Carlesimo, Marta Neves, Andrew Mazar, Maria Cristina Gomez Amarilla, Mark Chambers, Melissa de Araujo, Alexandre Melo, Melody Cole, Mohamed Elsayed, Monica Fliedner, Martin Hauer-Jensen, Micaela Bouchacourt, Michael Brennan, Michael Thirlwell, Michio Nakamura, Midori Nakagaki, Camila Rossi, Mireille Kaprilian, Michael Kase, Michael Dougan, Monique Stokman, Ragnhild Monsen, Alisha Morgan, Jocelyn Harding, Maryam Taleghani, Marie-Therese Genot, Mukund Seshadri, Brian Muzyka, Nancy Batista, Nancy Gadd, Naoko Tanda, Narmin Nasr, Natália Garcia, Nathan Lee, Natalia Palmier, Norman Brito-Dellan, Nancy Corbitt, Neli Pieralisi, Verônica Serrano, Nicola Alessandro Iacovelli, Norma Lúcia Sampaio, Nour Karra, Niveditha Venkatesh, Noam Yarom, Renata Cristina Borin, Olivia Lemenchick, Ondina Mendes, Ourania Nicolatou-Galitis, Vasiliy Shchitka, Paula Reis, Paulo Sérgio Santos, Paz Fernandez-Ortega, Ira Parker, Raquel García, Peter Fritz, Edmund Peters, Pamela Gardner, Pierre Saint Girons, Priya Tiwari, Pravin Chaturvedi, Tais de Moraes, Priscila Andrade, Raj Nair, Rachel Gibson, Rachita Gururaj, Raghu Thota, Rajesh Lalla, Raquel Almeida Prado, Ravikiran Ongole, George Taybos, Regina Mackey, Renata Rego, Renata Camilotti, Renata Ferrari, Renato Junior, Rene-Jean Bensadoun, Richard Logan, Roberta Sales, Roberta Zanicotti, Roberta Tunes, Rodolfo Mauceri, Rosiene Feitoza, Kathryn Ruddy, Cynthia Rybczyk, Stephanie Trager, Sachiyo Mitsunaga, Sahani Gunathilake, Rajan Saini, Viola Salvestrini, Sandip Mukhopadhyay, Sandrina Angeloz, Pramod Sankar S, Luciana S Barbosa Barbosa, Elena Volkova, Sharon Elad, Sergio Cantoreggi, Sharon Gordon, Shelly Brown, Shu Yie Janine Tam, Sibelle Faleiro, Silmara da Silva, Silvia de Oliveira, Siri Beier Jensen, Ivana Skrinjar, Sophie Beaumont, Felipe Sperandio, Sandra Reese, Steven Roser, Sachiko Seo, Stephanie van Leeuwen, Stephen Sonis, Stephen Bernard, Stephen Rajan Samuel, Stuart Taylor, Suranjan Maitra, Susanne Skulski, Suzanne Carlisle, Sylvie Louise Avon, Tomoya Yokota, Takashi Yurikusa, Tabata Santos Polvora, Tabitha Kelock, Tauana Fernandes, Taylor Wain, Timothy Brown, Tetsuhito konishi, Thalyta Amanda Ferreira, Tomoko Kataoka, Thomas Kelly, Takehiko Mori, Tomoko Higuchi, Toshiaki Saeki, Nikolaos Tsoukalas, Typhaine Maupoint De Vandeul, Masatoshi Usubuchi, Vanessa Lacerda, Vanessa Tilly, Emmanuelle Vigarios, Alessandro Villa, Vinicius Torregrossa, Vinodh Kumar Selvaraj, Viviane Sarmento, Vivien Heng, Wagner Gomes-Silva, Petter Wilberg, Wanessa Miranda e Silva, Wan Nor I'zzah Wan Mohamad Zain, Wonse Park, Wim Tissing, Yoshihiko Soga, Bella Van Sebille, and Yuhei Matsuda
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Oral mucositis ,Gastrointestinal mucositis ,Mucositis assessment tools ,Patient-reported outcome measures ,Medicine (General) ,R5-920 - Abstract
Summary: Background: Mucositis is a common and highly impactful side effect of conventional and emerging cancer therapy and thus the subject of intense investigation. Although common practice, mucositis assessment is heterogeneously adopted and poorly guided, impacting evidence synthesis and translation. The Multinational Association of Supportive Care in Cancer (MASCC) Mucositis Study Group (MSG) therefore aimed to establish expert recommendations for how existing mucositis assessment tools should be used, in clinical care and trials contexts, to improve the consistency of mucositis assessment. Methods: This study was conducted over two stages (January 2022–July 2023). The first phase involved a survey to MASCC-MSG members (January 2022–May 2022), capturing current practices, challenges and preferences. These then informed the second phase, in which a set of initial recommendations were prepared and refined using the Delphi method (February 2023–May 2023). Consensus was defined as agreement on a parameter by >80% of respondents. Findings: Seventy-two MASCC-MSG members completed the first phase of the study (37 females, 34 males, mainly oral care specialists). High variability was noted in the use of mucositis assessment tools, with a high reliance on clinician assessment compared to patient reported outcome measures (PROMs, 47% vs 3%, 37% used a combination). The World Health Organization (WHO) and Common Terminology Criteria for Adverse Events (CTCAE) scales were most commonly used to assess mucositis across multiple settings. Initial recommendations were reviewed by experienced MSG members and following two rounds of Delphi survey consensus was achieved in 91 of 100 recommendations. For example, in patients receiving chemotherapy, the recommended tool for clinician assessment in clinical practice is WHO for oral mucositis (89.5% consensus), and WHO or CTCAE for gastrointestinal mucositis (85.7% consensus). The recommended PROM in clinical trials is OMD/WQ for oral mucositis (93.3% consensus), and PRO-CTCAE for gastrointestinal mucositis (83.3% consensus). Interpretation: These new recommendations provide much needed guidance on mucositis assessment and may be applied in both clinical practice and research to streamline comparison and synthesis of global data sets, thus accelerating translation of new knowledge into clinical practice. Funding: No funding was received.
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- 2024
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42. Appearance of Majorana Phase in Two Flavour Neutrino Oscillations with Neutrino Decay
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Pradhan, Akhila Kumar, Dixit, Khushboo, Sankar, S. Uma, Jena, Satyajit, editor, Shivaji, Ambresh, editor, Bhardwaj, Vishal, editor, Lochan, Kinjalk, editor, Jassal, Harvinder Kaur, editor, Joseph, Anosh, editor, and Khuswaha, Pankaj, editor
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- 2024
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43. Selection of three class attribute single sampling plan for the given average outgoing quality level
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Radhakrishnan, R. and Sankar, S. Ravi
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- 2008
44. Neutrino mass and charged lepton flavor violation in an extended left-right symmetric model
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Majumdar, Chayan, Senapati, Supriya, Sankar, S. Uma, and Yajnik, Urjit A.
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High Energy Physics - Phenomenology - Abstract
We consider an $U(1)_{L_\mu -L_\tau}$ extended left-right symmetric gauge theory where the neutrino masses are generated through inverse seesaw mechanism. In this model the muon $(g-2)$ anomaly is accounted for by the mediation of $Z_{\mu\tau}$, the gauge boson of $U(1)_{L_\mu - L_\tau}$ symmetry. The symmetries of the model require the light neutrino mass matrix to have a particular two-zero texture, which leads to non-trivial constraints in the minimum neutrino mass. In addition, the model predicts observable charged lepton flavor violation in $\mu-\tau$ sector., Comment: 21 pages, 2 figures, 2 tables, Version accepted in Nucl. Phys. B
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- 2022
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45. Blow-up estimates for a system of semilinear SPDEs driven by mixed fractional Brownian motions
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Sankar, S., Mohan, Manil T., and Karthikeyan, S.
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Mathematics - Probability ,Mathematics - Analysis of PDEs ,35R60, 60G22, 60H15, 74H35, 35B44, 60H07 - Abstract
In this paper, we obtain the existence and finite-time blow-up for the solution to a system of semilinear stochastic partial differential equations driven by a combination of Brownian and fractional Brownian motions. Under suitable assumptions, lower and upper bounds for the finite-time blow-up solution are obtained. We provide sufficient conditions for the existence of a global weak solution to the system. Further, a lower bound for the probability of the finite-time blow-up solution of the considered system is provided by using Malliavin calculus., Comment: arXiv admin note: text overlap with arXiv:2206.12359
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- 2022
46. $CP$ violation due to a Majorana phase in two flavor neutrino oscillations with decays
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Dixit, Khushboo, Pradhan, Akhila Kumar, and Sankar, S. Uma
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High Energy Physics - Phenomenology - Abstract
We study the conditions under which the Majorana phase of the two flavor neutrino mixing matrix appears in the oscillation probabilities and causes $CP$ violation. We find that the Majorana phase remains in the neutrino evolution equation if the neutrino decay eigenstates are not aligned with the mass eigenstates. We show that, in general, two kinds of $CP$ violation are possible: one due to the Majorana phase and the other due to the phase of the off-diagonal element of the neutrino decay matrix. We find that the $CP$ violating terms in the oscillation probabilities are also sensitive to neutrino mass ordering., Comment: 4 pages, matches the published version
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- 2022
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47. Lower and upper bounds for the explosion times of a system of semilinear SPDEs
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Sankar, S., Mohan, Manil T., and Karthikeyan, S.
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Mathematics - Analysis of PDEs ,Mathematics - Probability ,35R60, 60H15, 74H35 - Abstract
In this paper, we obtain lower and upper bounds for the blow-up times to a system of semilinear stochastic partial differential equations. Under suitable assumptions, lower and upper bounds of explosion times are obtained by using explicit solutions of an associated system of random partial differential equations and a formula due to Yor. We also provide an estimate for the probability of the finite-time blow-up. With a suitable choice of parameters, the impact of the noise on the solution is investigated. The above-obtained results are also extended for semilinear SPDEs forced by two dimensional Brownian motions.
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- 2022
48. A review of the tension between the T2K and NO$\nu$A appearance data and hints to new physics
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Rahaman, Ushak, Razzaque, Soebur, and Sankar, S. Uma
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High Energy Physics - Phenomenology ,High Energy Physics - Experiment ,High Energy Physics - Theory - Abstract
In this article, we review the status of the tension between the long-baseline accelerator neutrino experiments T2K and NO$\nu$A. The tension arises mostly due to the mismatch in the appearance data of the two experiments. We explain how this tension arises based on $\nu_\mu \to \nu_e$ and $\bar{\nu}_\mu \to \bar{\nu}_e$ oscillation probabilities. We define the reference point of vacuum oscillation, maximal $\theta_{23}$ and $\delta_{CP}=0$ and compute the $\nu_e/\bar{\nu}_e$ appearance events for each experiment. We then study the effects of deviating the unknown parameters from the reference point and the compatibility of any given set of values of unknown parameters with the data from T2K and NO$\nu$A. T2K observes a large excess in the $\nu_e$ appearance event sample compared to the expected $\nu_e$ events at the reference point, whereas \nova observes a moderate excess. The large excess in T2K dictates that $\delta_{CP}$ be anchored at $-90^\circ$ and that $\theta_{23}>\pi/4$ with a preference for normal hierarchy. The moderate excess at NO$\nu$A leads to two degenerate solutions: A) NH, $0<\delta_{CP}<180^\circ$, and $\theta_{23}>\pi/4$; B) IH, $-180^\circ<\delta_{CP}<0$, and $\theta_{23}>\pi/4$. This is the main cause of the tension between the two experiments. We have reviewed the status of three beyond standard model (BSM) physics scenarios, (a) non-unitary mixing, (b) Lorentz invariance violation and (c) non-standard neutrino interactions, to resolve the tension., Comment: Review article, 59 pages, 17 figures, 7 tables
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- 2022
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49. Guidance on mucositis assessment from the MASCC Mucositis Study Group and ISOO: an international Delphi study
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Laheij, Alexa, Tonkaboni, Arghavan, Scott, Jacqui, Abasaeed, Rania, Kauzman, Adel, Flato, Adriana Do Socorro Lima, Gore, Adwaita, Hardman, Anne-Marie, Horvath, Agnes, Hovan, Allan, Al-Jamaei, Aisha, koizumi, Aya, Santos-Silva, Alan, Majorana, Alessandra, Giannini, Alexandre, Teixeira, Aléxia, Shazib, Muhammad Ali, Melvin, Alison, Filho, Aluísio Miranda, Gruza, Amanda, Brown-Dahl, Amber, Harilall, Amit, El Maghrabi, Amr, Rogulj, Ana Andabak, Curvo, Ana Raphaela, Soares, Ana Laura, Stringer, Andrea, Moreira, Andréa, Kurtzweil, Andy, Salaberry, Angelyn, Blazy, Anne, Gussgard, Anne Margrete, Lynge Pedersen, Anne Marie, Freidank, Annette, Ariyawardana, Anura, Ramseier, Adrian, Arends, Jann, Blanchard, Ariel, Paz, Adriana Sesti, Thermann, Angela, Poropat, Augusto, Freites-Martinez, Azael, Al-Azri, Abdul Rahman, Herlofson, Bente Brokstad, BalajiSubramanian, Sitaraman, Ballantyne, Barbara, Bektas-Kayhan, Kivanc, Hasséus, Bengt, Kaffenberger, Benjamin, Benites, Bernar, Kwong, Bernice, Test, Beth, Chiantia, Fernando, Pettersson, Bo, Framroze, Bomi, Bonomo, Pierluigi, Brzak, Božana Lončar, Dulmage, Brittany, Buga, Sorin, Spekssnijder, Caroline, Brown, Carlton, Melo, Antonio Carlos Moura de, Ribeiro, Ana Carolina, Silva, Caroline, Fulop, Caroline, Anderson, Carryn, Flaitz, Catherine, Massoud, Cathy, Migliorati, Cesar, Gross, Callie, Gandini, Chiara, Loprinzi, Charles, de Mooij, Charlotte, Hong, Catherine, Choi, Ying Chu, Choy, Maria, Boers-Doets, Christine, Schmeel, Leonard, Nagano, Cibele, Franco, Maria Coeli, Subramaniam, Courtney, Patrick, Carolyn, Poh, Catherine, Neuenschwander, Cristina, Virgen, Cesar, Riesenbeck, Dorothea, Weaver, Dale, Goldemberg, Daniel Cohen, Sundaresan, Daniel, Nunes, Daniela, Perez, Danyel, Travassos, Daphine, Yang, David, Ribeiro, Daniela, Kolbinson, Dean, Buick, Deborah, Saunders, Deborah, De Bortolli, Juliane, Chugh, Deepika, Markstrom, Denise, Travassos, Denise, Weikel, Dianna, Galiti, Dimitra, Peiris, Dinusha, Djordjevic, Fedja, Singhai, Pankaj, Keefe, Dorothy, Peterson, Douglas, Fonseca, Douglas, Pon, Doreen, Kovalenko, Iuliia, Polonskaia, Aleksandra, Caldas, Rogério, Saganski, Kevin, Néri, Julia, Abbott, Dennis, Yergolkar, Abhijna Vithal, Del Conte, Cristina, Passos, Januaria, Uezu, Katia, Silva, Paula, Gilbert, Steven, Yeoh, Keng, Jain, Kunal, Rastogi, Madhup, Sankaran, Satheeshkumar Poolakkad, Manne, Deborah, Shatokhina, Evgeniya, Adebayo-Olojo, Esther, Somogyi-Ganss, Eszter, Ehrenpreis, Eli, Bernaola-Paredes, Wilber, Fregnani, Eduardo, Cardoso, Elaci, Bardellini, Elena, Arvanitou, Eleni, Fontes, Elisa Kauark, Bruning, Elise, Neumann, Eloise, Madureira, Elsa, Ramires, Marcia, Papadopoulou, Erofili, Munhoz, Etiene, Spijkervet, Fred, Granzotto, Fabiana, Martins, Fabiana, Alves, Fabio, Mougeot, Farah, Aielli, Federica, Pigatti, Fernanda, Fonseca, Fernanda, Samim, Firoozeh, Carvalho, Flavia, Zelaya, Florence Cuadra, Freytes, Cesar, da Silveira, Gabriela, Torino, Gabriela, Martins, Gabriela, Silva, Geisa, Caro, Gemma, Bryan, Gemma, Radford, Georgette, Al-Qadami, Ghanyah, Albini, Giorgia, Mainville, Gisele, Gkardiakos, Georgios, Potter, Gleidston, Hoeberechts, Gulbin, Howarth, Gordon, Ottaviani, Giulia, Bradley, Grace, Verma, Gunjan, Santos, Gustavo dos, Randles-Guzzardi, Margaret, Engelbrecht, Hanlie, Wardill, Hannah, Hansen, Heidi, Hasan, Iquebal, Hata, Hironobu, Ullgren, Helena, Antunes, Heliton Spindola, Laís dos Santos, Heloísa, Weld, Howard, McInnes, Helen, Jungbluth, Hans Peter, Weng, Hsiaofen, Hewson, Ian, Santos, Ingrid, Illarramendi, Jorge, Semendric, Ines, Menge, Rol, Von Bultzingslowen, Inger, Melo, Maria da Gloria de, Leong, Iona, Fonseca, Isabella, Kalif, Isadora, Carroll, James, Coller, Janet, Beck-Mannagetta, Johann, Bowen, Joanne, Meurer, Jose, McCullough, Ricky, Powers, Jennifer, Gomez, Jesus, Lenjisa, Jimma, jaya Vangara, Leko, Jasna, Fall-Dickson, Jane, Mougeot, Jean-Luc, Fox, Joan, Epstein, Joel, Robijns, Jolien, Wu, Jonn, Palma, Patricio, Amaram-Davila, Jaya, Siderov, Jim, Raber-Durlacher, Judith, Dantas, Juliana, Jasper, Juliana, Monteiro, Juliana, Bruno, Julia, julie pfeffer, Ristivojevic, Julija Jovanovic, Brito, Juliana, Kuriakose, Jyothsna, Kabasawa, Yuji, Dave, Kanan, Barczyszyn, Karin, Lima, Karol Sartori, Secombe, Kate, White, Kate, Cooper, Kate, Katsura, Kouji, Biggs, Karen, Ciarrocca, Katharine, Dennis, Kristopher, Tomizuka, Ken, Hendler, Kevin, Komo, Ikuko, Skallsjö, Kristina, Hodgins, Kristy, Rupel, Katia, Tanaka, Keiko, Kurup, Seema, Gueiros, Luiz, Agatti, Larissa, Garzona-Navas, Laura, Guerra, Letícia, Portela, Leila, Iossi, Leilani, Elting, Linda, Baad-Hansen, Lene, Reeder, Leslie, Lang, Leticia, Menezes, Liciane, Braun, Liliana, Grando, Liliane, Lim, Mathew, Fernandez, Lina, McKeage, Lucy, Campos, Luana, Simonato, Luciana, Muniz, Luciana, van Draanen, Leah, Mizutani, Mieko, Huang, Tsai-Wei, Riad, Mahfujul, Nazar, Mahnoor, Souza, Maíra, Minamisako, Mariana, Pereira, Manoela, Mantelato, Carlos, Diniz-Freitas, Márcio, Montezuma, Marco, Andrade, Marco, Santos, Marcos, Gobbo, Margherita, Fortuna, Maria Caterina, Vitor, Mariana, Marinho, Joana, Markova, Alina, Knuchel, Marlyse, Carlesimo, Marta, Neves, Marta, Mazar, Andrew, Gomez Amarilla, Maria Cristina, Chambers, Mark, Araujo, Melissa de, Melo, Alexandre, Cole, Melody, Elsayed, Mohamed, Fliedner, Monica, Hauer-Jensen, Martin, Bouchacourt, Micaela, Brennan, Michael, Thirlwell, Michael, Nakamura, Michio, Nakagaki, Midori, Rossi, Camila, Miller, Robert, Kaprilian, Mireille, Kase, Michael, Dougan, Michael, Stokman, Monique, Monsen, Ragnhild, Morgan, Alisha, Harding, Jocelyn, Taleghani, Maryam, Genot, Marie-Therese, Seshadri, Mukund, Muzyka, Brian, Batista, Nancy, Gadd, Nancy, Tanda, Naoko, Nasr, Narmin, Garcia, Natália, Lee, Nathan, Palmier, Natalia, Brito-Dellan, Norman, Corbitt, Nancy, Pieralisi, Neli, Serrano, Verônica, Iacovelli, Nicola Alessandro, Blijlevens, Nicole, Sampaio, Norma Lúcia, Karra, Nour, Venkatesh, Niveditha, Yarom, Noam, Borin, Renata Cristina, Lemenchick, Olivia, Mendes, Ondina, Nicolatou-Galitis, Ourania, Shchitka, Vasiliy, Bossi, Paolo, Reis, Paula, Santos, Paulo Sérgio, Fernandez-Ortega, Paz, Parker, Ira, García, Raquel, Fritz, Peter, Peters, Edmund, Gardner, Pamela, Girons, Pierre Saint, Tiwari, Priya, Chaturvedi, Pravin, de Moraes, Tais, Andrade, Priscila, Nair, Raj, Gibson, Rachel, Gururaj, Rachita, Abdalla-Aslan, Ragda, Thota, Raghu, Lalla, Rajesh, Mendes, Rui Amaral, Prado, Raquel Almeida, Ongole, Ravikiran, Taybos, George, Mackey, Regina, Rego, Renata, Camilotti, Renata, Ferrari, Renata, Junior, Renato, Bensadoun, Rene-Jean, Logan, Richard, Sales, Roberta, Zanicotti, Roberta, Tunes, Roberta, Mauceri, Rodolfo, Feitoza, Rosiene, Ruddy, Kathryn, Rybczyk, Cynthia, Trager, Stephanie, Mitsunaga, Sachiyo, Gunathilake, Sahani, Saini, Rajan, Salvestrini, Viola, Mukhopadhyay, Sandip, Angeloz, Sandrina, Sankar S, Pramod, Barbosa, Luciana S Barbosa, Volkova, Elena, Elad, Sharon, Cantoreggi, Sergio, Gordon, Sharon, Brown, Shelly, Janine Tam, Shu Yie, Faleiro, Sibelle, da Silva, Silmara, de Oliveira, Silvia, Jensen, Siri Beier, Skrinjar, Ivana, Beaumont, Sophie, Sperandio, Felipe, Reese, Sandra, Roser, Steven, Seo, Sachiko, van Leeuwen, Stephanie, Sonis, Stephen, Bernard, Stephen, Samuel, Stephen Rajan, Taylor, Stuart, Maitra, Suranjan, Skulski, Susanne, Carlisle, Suzanne, Avon, Sylvie Louise, Yokota, Tomoya, Yurikusa, Takashi, Polvora, Tabata Santos, Kelock, Tabitha, Fernandes, Tauana, Wain, Taylor, Brown, Timothy, Tetsuhito konishi, Ferreira, Thalyta Amanda, Kataoka, Tomoko, Kelly, Thomas, Mori, Takehiko, Higuchi, Tomoko, Saeki, Toshiaki, Tsoukalas, Nikolaos, De Vandeul, Typhaine Maupoint, Usubuchi, Masatoshi, Lacerda, Vanessa, Tilly, Vanessa, Vigarios, Emmanuelle, Villa, Alessandro, Torregrossa, Vinicius, Selvaraj, Vinodh Kumar, Sarmento, Viviane, Heng, Vivien, Gomes-Silva, Wagner, Kandwal, Abhishek, Wilberg, Petter, Miranda e Silva, Wanessa, I'zzah Wan Mohamad Zain, Wan Nor, Park, Wonse, Tissing, Wim, Soga, Yoshihiko, Van Sebille, Bella, Matsuda, Yuhei, Zadik, Yehuda, Cao, Katrina, Cheung, Yin Ting, Fregnani, Eduardo Rodrigues, Van Sebille, Ysabella, Kauark-Fontes, Elisa, McCurdy-Franks, Emma, Finkelstein, Joel, McCarvell, Victoria, Amaral Mendes, Rui, Speksnijder, Caroline Margina, and Wardill, Hannah Rose
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- 2024
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50. Navigating leadership styles through qualitative exploration for enhanced safety in the construction sector
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Senthamizh Sankar, S. and Anandh, K.S.
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- 2024
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