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Short-Term Wind Power Prediction Using Hybrid Auto Regressive Integrated Moving Average Model and Dynamic Particle Swarm Optimization
With the upsurge in restructuring of the power markets, wind power has become one of the key factors in power generation in the smart grids and gained momentum in the recent years. The accurate wind power forecasting is highly...
Published by: IGI Global Scientific Publishing
Integration of Multi-Class Service Paradigm With Generic Trust Mechanism for Innovation, Customization and Adaptability in MANETs
Trust-based mechanisms are widely used in wireless networks of different kinds for providing security against attack. Trust mechanism provides security from various attacks using both detective and preventive manner. This paper...
Published by: IGI Global Scientific Publishing
A quick and selective rhodamine based “smart probe” for “signal-on” optical detection of Cu<sup>2+</sup> and Al<sup>3+</sup> in water, cell imaging, computational studies and solid state analysis
Abhishek Rai, Alok Kumar Singh, Kamini Tripathi, Avinash Kumar Sonkar, Brijesh Singh Chauhan, S. Srikrishna, Tony D. James, Lallan Mishra
Aug 01, 2018
A novel rhodamine hydrazone 1 has been synthesized by the condensation of rhodamine B hydrazide with allylsalicylaldehyde and has been fully characterized using various physicochemical techniques including single crystal XRD....
chemosensor DFT Photoluminescence Real sample analysis Rhodamine /dk/atira/pure/subjectarea/asjc/2500/2504 name=Electronic, Optical and Magnetic Materials /dk/atira/pure/subjectarea/asjc/3100/3105 name=Instrumentation /dk/atira/pure/subjectarea/asjc/3100/3104 name=Condensed Matter Physics /dk/atira/pure/subjectarea/asjc/2500/2508 name=Surfaces, Coatings and Films /dk/atira/pure/subjectarea/asjc/2500/2506 name=Metals and Alloys /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/subjectarea/asjc/2500/2505 name=Materials Chemistry
Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state-space models
Abstract: We propose a novel blocked version of the continuous-time bouncy particle sampler of Bouchard-Côté et al. (J Am Stat Assoc 113(522):855–867, 2018) which is applicable to any differentiable probability density. This...
Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome.
Pedro Madrigal, Nitin K Singh, Jason M Wood, Elena Gaudioso, Félix Hernández-del-Olmo, Christopher E Mason, Kasthuri Venkateswaran, Afshin Beheshti
Sep 06, 2022
BACKGROUND: Antimicrobial resistance (AMR) has a detrimental impact on human health on Earth and it is equally concerning in other environments such as space habitat due to microgravity, radiation and confinement, especially for...
Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome.
Pedro Madrigal, Nitin K Singh, Jason M Wood, Elena Gaudioso, Félix Hernández-del-Olmo, Christopher E Mason, Kasthuri Venkateswaran, Afshin Beheshti
Sep 23, 2022
BACKGROUND: Antimicrobial resistance (AMR) has a detrimental impact on human health on Earth and it is equally concerning in other environments such as space habitat due to microgravity, radiation and confinement, especially for...
Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state-space models
Abstract: We propose a novel blocked version of the continuous-time bouncy particle sampler of Bouchard-Côté et al. (J Am Stat Assoc 113(522):855–867, 2018) which is applicable to any differentiable probability density. This...
Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome
Abstract
Background
Antimicrobial resistance (AMR) has a detrimental impact on human health on Earth and it is equally...
Pedro Madrigal, Nitin K Singh, Jason M Wood, Elena Gaudioso, Félix Hernández-del-Olmo, Christopher E Mason, Kasthuri Venkateswaran, Afshin Beheshti
Aug 24, 2022
Anytime parallel tempering
Abstract: Developing efficient MCMC algorithms is indispensable in Bayesian inference. In parallel tempering, multiple interacting MCMC chains run to more efficiently explore the state space and improve performance. The multiple...
Anytime parallel tempering
Abstract: Developing efficient MCMC algorithms is indispensable in Bayesian inference. In parallel tempering, multiple interacting MCMC chains run to more efficiently explore the state space and improve performance. The multiple...
A quick and selective rhodamine based “smart probe” for “signal-on” optical detection of Cu<sup>2+</sup> and Al<sup>3+</sup> in water, cell imaging, computational studies and solid state analysis
Abhishek Rai, Alok Kumar Singh, Kamini Tripathi, Avinash Kumar Sonkar, Brijesh Singh Chauhan, S. Srikrishna, Tony D. James, Lallan Mishra
Aug 01, 2018
A novel rhodamine hydrazone 1 has been synthesized by the condensation of rhodamine B hydrazide with allylsalicylaldehyde and has been fully characterized using various physicochemical techniques including single crystal XRD....
chemosensor DFT Photoluminescence Real sample analysis Rhodamine /dk/atira/pure/subjectarea/asjc/2500/2504 name=Electronic, Optical and Magnetic Materials /dk/atira/pure/subjectarea/asjc/3100/3105 name=Instrumentation /dk/atira/pure/subjectarea/asjc/3100/3104 name=Condensed Matter Physics /dk/atira/pure/subjectarea/asjc/2500/2508 name=Surfaces, Coatings and Films /dk/atira/pure/subjectarea/asjc/2500/2506 name=Metals and Alloys /dk/atira/pure/subjectarea/asjc/2200/2208 name=Electrical and Electronic Engineering /dk/atira/pure/subjectarea/asjc/2500/2505 name=Materials Chemistry
Transferring cognitive talent across domains to reduce the disposition effect in investment.
We consider Theory of Mind (ToM), the ability to correctly predict the intentions of others. To an important degree, good ToM function requires abstraction from one's own particular circumstances. Here, we posit that such...
Ultrafast pressure sensing with transient tunnelling currents
We report and systematically study large amplitude piezoresistance spikes in thin composite films under stress. These spikes are characterized by a unique double exponential decay which we demonstrate to be the signature of...
The search for active learning
This article suggests that the concept of ‘active learning’ has different meanings. These meanings are created in the dynamic and variable relationships between the uses of learning technologies and approaches to pedagogy....
Mechanochemical feedback control of dynamin independent endocytosis modulates membrane tension in adherent cells.
Joseph Jose Thottacherry, Anita Joanna Kosmalska, Amit Kumar, Amit Singh Vishen, Alberto Elosegui-Artola, Susav Pradhan, Sumit Sharma, Parvinder P Singh, Marta C Guadamillas, Natasha Chaudhary, Ram Vishwakarma, Xavier Trepat, Miguel A Del Pozo, Robert G Parton, Madan Rao, Pramod Pullarkat, Pere Roca-Cusachs, Satyajit Mayor
Jan 06, 2020
Plasma membrane tension regulates many key cellular processes. It is modulated by, and can modulate, membrane trafficking. However, the cellular pathway(s) involved in this interplay is poorly understood. Here we find that...
Application of Representation Learning-Based Chronological Modeling for Network Intrusion Detection
An autoencoder has the potential to overcome the limitations of current intrusion detection methods by recognizing benign user activity rather than differentiating between benign and malicious activity. However, the line...
Published by: IGI Global Scientific Publishing
Internet of Things (IoT) and Changing Face of Project Management
Vikram Singh Prasher
Jan 01, 0001
Internet of Things (IoT) or Industrial Internet is a modern day catchword, which over the past few years has tremendously impacted numerous aspects of almost-all the advanced technology fields. IoT framework envisions...
Internet of Things; Project management; Big Data; Cloud computing Management Human Resources Management Interpersonal and Small Group Communication Management Information Systems Management Sciences and Quantitative Methods
Published by: Harrisburg University of Science and Technology
The search for active learning
This article suggests that the concept of ‘active learning’ has different meanings. These meanings are created in the dynamic and variable relationships between the uses of learning technologies and approaches to pedagogy....
Recent advances in functional neuroimaging analysis for cognitive neuroscience.
Functional magnetic resonance imaging and electro-/magneto-encephalography are some of the main neuroimaging technologies used by cognitive neuroscientists to study how the brain works. However, the methods for analysing the...
HSCs revive their niche after transplantation.
Simón Méndez-Ferrer
Dec 11, 2020
Golan K, Singh AK et al.1 describe how mitochondrial transfer from hematopoietic stem cells (HSCs) to bone marrow (BM) mesenchymal stem cells (MSCs) helps to regenerate the stroma and its capacity to sustain hematopoietic...
The Role Of Adult Stem Cells And Tumor Necrosis Factor In Peripheral Neuropathy
Prabhjot Singh Dhadialla
Jan 01, 0001
Peripheral neuropathies are a significant cause of morbidity and mortality, with a population prevalence of 2,400 per 100,000 (2.4%) that increases in the elderly to 8,000 per 100,000 (8%)(C. N. Martyn and R. A. Hughes, 1997)....
Published by: Rockefeller University
Ultrafast pressure sensing with transient tunnelling currents
We report and systematically study large amplitude piezoresistance spikes in thin composite films under stress. These spikes are characterized by a unique double exponential decay which we demonstrate to be the signature of...
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