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Ready-to-go assessment: The implementation and design of a general assessment tool
This paper implements and designs a general assessment tool which is beneficial to the information literacy classes, the students, individual librarians and the library and the university community as a whole.Accepted Manuscript (AM
Information Token Driven Machine Learning For Electronic Markets: Performance Effects In Behavioral Financial Big Data Analytics
Conjunct with the universal acceleration in information growth, financial services have been immersed in an evolution of information dynamics. It is not just the dramatic increase in volumes of data, but the speed, the complexity and the unpredictability of ‘big-data’ phenomena that have compounded the challenges faced by researchers and practitioners in financial services. Math, statistics and technology have been leveraged creatively to create analytical solutions. Given the many unique characteristics of financial bid data (FBD) it is necessary to gain insights into strategies and models that can be used to create FBD specific solutions. Behavioral finance data, a subset of FBD, is seeing exponential growth and this presents an unprecedented opportunity to study behavioral finance employing big data analytics methodologies. The present study maps machine learning (ML) techniques and behavioral finance categories to explore the potential for using ML techniques to address behavioral aspects in FBD. The ontological feasibility of such an approach is presented and the primary purpose of this study is propositioned: ML based behavioral models can effectively estimate performance in FBD. A simple machine learning algorithm is successfully employed to study behavioral performance in an artificial stock market to validate the propositions.Version of Record (VoR
Enhancing the assignment: Using the framework for student learning and assessment in a business law class
Version of Record (VoR
Pioneer 2017
The annual student yearbook was first published in 1925 as "The Kokoon" when William Paterson University was Paterson State Normal School. The title changed over time but has been "The Pioneer" since 1941
Unique Hot Carrier Distributions from Scattering-Mediated Absorption
Light-initiated generation of energetic carriers has attracted considerable attention as a paradigm for photocatalysis and solar energy conversion, and the use of noble metal nanoparticles that support localized surface plasmon resonances has been widely explored as a medium for realizing this paradigm. It was recently shown that composite nanostructures enabling the interplay between dielectric scattering resonances and broadband absorption in small metal nanostructures, a phenomenon termed scattering-mediated absorption, can be used to mediate energetic carrier transfer and selective photochemistry with low-intensity light while completely circumventing plasmon resonance. In this work, we develop a multiscale modeling approach for elucidating the hot carrier dynamics initiated by scattering-mediated absorption. Our calculations reveal that unique hot carrier distributions and dynamics arise from scattering-mediated absorption as compared to plasmon excitation and also suggest that in a variety of circumstances scattering-mediated absorption may lead to more efficient hot carrier generation compared to plasmon resonance under the same external illumination conditions. These results are an important first step in understanding the phenomena of scattering-mediated hot carrier generation, which has potential for expanding the palette of materials that can be utilized for hot carrier mediated photochemistry beyond plasmonic metals and for enabling unique pathways for photocatalytic transformations