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Timed electrodeposition of PEDOT:Nafion onto carbon fiber-microelectrodes enhances dopamine detection in Zebrafish retina
No full textJournal of the Electrochemical Society, Volume 167, Issue 11, 8 January 2020, Article number 115501.Carbon fiber-microelectrodes (CFMEs) are one of the standards for the detection of neurotransmitters such as dopamine (DA). In this study, we demonstrate that CFMEs electrodeposited with poly (3,4-ethylenedioxythiophene) (PEDOT) in the presence of Nafion exhibit enhanced sensitivity for DA detection. Scanning electron microscopy (SEM) revealed the smooth outer surface morphologies of polymer coatings, which filled in the ridges and grooves of the bare unmodified carbon electrode and energy-dispersive X-ray spectroscopy (EDX) confirmed PEDOT:Nafion incorporation. PEDOT:Nafion coated CMFEs exhibited a statistically enhanced two-fold increase in DA sensitivity compared to unmodified microelectrodes, with stability and integrity of the coated microelectrodes maintained for at least 4 h. A scan rate test revealed a linear relationship with peak DA oxidative current (5 μM), indicating adsorption control of DA to the surface of the PEDOT:Nafion electrode. As proof of principle, PEDOT:Nafion coated electrodes were used to detect potassium chloride (KCl)-induced DA release in zebrafish (Danio rerio) retinal tissue ex vivo, thus illustrating their applicability as biosensors
Social distancing markers on the sidewalk in front of Solid State Books
No full textRed tape marks where customers should line up which social distancing in front of Solid State Books on H Street NE. The The storefront window reading 'Books' in orange letters is visible in the foreground
24 human rights brief special joint COVID-19 issue
No full textHuman Rights Brief, Volume 24, Summer 2020.Part of our goal in this joint issue was to create a space where public health law and human rights legal systems could freely intermingle. The result — an examination of criminalizing infection; an analysis of state powers in states of emergency; a detailed look at Hungary’s authoritarian power grab; an exploration of the relationship between access to community resources and managing health conditions; a proposal for an inclusive and just approach to future advocacy efforts; and an overview of COVID-19 responses in the Inter-American human rights system — both helped us understand the gaps in our domestic, regional, and international legal systems and the ways that legal systems can provide some stability and accountability in times of global crisis
Person wearing a face mask holds paper towels
No full textA person wearing a mask stands outside between two parked cars and carries a package of paper towels underneath their arm
Complete Economic and Demographic Data Source (CEDDS) 2020
No full textThe Complete Economic and Demographic Data Source (CEDDS) has data for counties and CBSAs in the U.S. CEDDS contains historical data from 1970, or 1990, and projections to 2050 of population by age and race, employment by industry, earnings of employees by industry, personal income by source, households by income bracket and retail sales by kind of business. The data and projections are for counties, states, regions, and Core Based Statistical Areas (MSAs, CSAs, Micropolitan Statistical Areas, and Metropolitan Divisions) in the U.S." (For more granular statistics, see the "Complete U.S. Database" for the same year in this "Woods & Poole Economics databases" collection.) After downloading and unZIPping the ZIP file, the documentation files can be found in its top-level directory (in .PDF and .TXT formats)
ECHAD: embedding-based change detection from multivariate time series in smart grids
No full textIEEE Access, Volume 8, 2020, Article number 9174979, Pages 156053-156066.Smart grids are power grids where clients may actively participate in energy production, storage and distribution. Smart grid management raises several challenges, including the possible changes and evolutions in terms of energy consumption and production, that must be taken into account in order to properly regulate the energy distribution. In this context, machine learning methods can be fruitfully adopted to support the analysis and to predict the behavior of smart grids, by exploiting the large amount of streaming data generated by sensor networks. In this article, we propose a novel change detection method, called ECHAD (Embedding-based CHAnge Detection), that leverages embedding techniques, one-class learning, and a dynamic detection approach that incrementally updates the learned model to reflect the new data distribution. Our experiments show that ECHAD achieves optimal performances on synthetic data representing challenging scenarios. Moreover, a qualitative analysis of the results obtained on real data of a real power grid reveals the quality of the change detection of ECHAD. Specifically, a comparison with state-of-the-art approaches shows the ability of ECHAD in identifying additional relevant changes, not detected by competitors, avoiding false positive detections
Reopening signs at Jacob's Coffee House
No full textSigns announcing the reopening of Jacob's Coffee House posted on the windows and door
2019-03 Merger waves: are buyers following the herd or responding to structural queues?
No full textDepartment of Economics. Working Papers Series no. 2019-03. 32 pages.While there has been a significant amount of research covering the causes of merger waves, few papers have rank ordered merger waves based on the causes nor sought to determine which rationale leads to higher bidder payouts. This paper seeks to fill this gap by examining a cross section of large, global mergers across most industries occurring over a 17 year period. I find that merger waves over this period are caused foremost by changing economic and regulatory conditions. It is the behavioral rationale of mispricing, however, that more often leads to higher bidder payouts or merger premiums among acquirers in merger waves
Empty Pennsylvania Avenue
No full textAn empty Pennsylvania Avenue with the U.S. Capitol Building in the background