Variability in cell-cell interactions is ubiquitous and particularly relevant for the immune system, where the reliability of cell-cell interactions is critical for the prevention of disease. This variability is poorl...
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ISBN:
(纸本)9781618395955
Variability in cell-cell interactions is ubiquitous and particularly relevant for the immune system, where the reliability of cell-cell interactions is critical for the prevention of disease. This variability is poorly understood mainly due to the limitations of current methods. We have therefore designed a highly parallel microfluidic cell-pairing device and optimized its pairing-efficiency using fluids modeling. The optimized device can hydrodynamically pair hundreds of primary mouse immune-cells at an efficiency of ∼50%. We measured T cell activation dynamics of ∼130 primary mouse T cells paired with B cells. Our findings represent the first time that variation has been observed in T cell activation dynamics.
We present an adaptive binary classification algorithm, based on transductive transfer learning. We illustrate the method in the context of electrocardiogram (ECG) analysis. Knowledge gained from a population of patie...
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ISBN:
(纸本)9781424441211
We present an adaptive binary classification algorithm, based on transductive transfer learning. We illustrate the method in the context of electrocardiogram (ECG) analysis. Knowledge gained from a population of patients is automatically adapted to patients' records to accurately detect ectopic beats. On patients from the mit-BIH Arrhythmia Database, we achieve a median sensitivity of 94.59% and positive predictive value of 96.24%, for the binary classification task of separating premature ventricular contractions (PVCs), a type of ectopic beat, from non-PVCs.
In this paper we establish a new inequality tying together the coding rate, the probability of error and the relative entropy between the channel and the auxiliary output distribution. This inequality is then used to ...
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John MaedaSteven HellerTim HooverHas been a design partner at Kleiner Perkins Caufield & Byers since January 2014
helping entrepreneurs and portfolio companies to build design into their company cultures. He served as the president of Rhode Island School of Design for six years through 2013 and also served as an associate director of research at the MIT Media Lab. Maeda has been a practicing designer since 1990 and his work is in the permanent collections of the Museum of Modern Art San Francisco Museum of Modern Art and the Cartier Foundation. He serves on the boards of several corporations including Sonos and Wieden + Kennedy and is chair of eBay's Design Advisory Board. His four published books include The Laws of Simplicity and Redesigning Leadership. Maeda is the recipient of a variety of international awards for his creative work including induction into the Art Director's Club Hall of Fame. In 2001 he received the White House National Design Award in 2002
he received the Mainichi Design Prize in Japan and in 2005
he was awarded the Raymond Loewy Foundation Prize in Germany. Maeda earned a BS and an MS from MIT in computer science and electrical engineering. He received a PhD in design science from the University of Tsukuba Institute of Art and Design in Japan as well as an MBA from Arizona State University. Co‐chair and co‐founder of the MFA Designer as Author and Entrepreneur program at the School of Visual Arts
in New York. He was the art director of The New York Times Book Review and now writes the VISUALS column for the NYTBR. He also writes “The Daily Heller” at *** a weekly online design column for Atlantic magazine. He is author co‐author and editor of more than 165 books on the history and practice of graphic design illustration and satiric art. His forthcoming books include 100 Classic Graphic Design Magazines (Laurence King Publishers) and Raw Data: The Process Behind Information Graphics (Thames + Hudson). Heller was the 2011 recipient of the Smithsonian National Design Award for Design Mind. He has also writ
John Maeda is a past president of Rhode Island School of Design and an internationally known designer. He's now involved in helping entrepreneurs build design into their company cultures. Writer and educator Steve...
John Maeda is a past president of Rhode Island School of Design and an internationally known designer. He's now involved in helping entrepreneurs build design into their company cultures. Writer and educator Steven Heller pairs up with Tim Hoover, head of product and design at Canary, to talk about designer CEOs, start‐ups, and cutting out the middleman.
AlxGa(1−x)As/GaAs quantum well lasers have been demonstrated via organometallic chemical vapor deposition (OMCVD) on relaxed graded GexSi(1−x) virtual substrates on Si. Despite unoptimized laser structures with high s...
AlxGa(1−x)As/GaAs quantum well lasers have been demonstrated via organometallic chemical vapor deposition (OMCVD) on relaxed graded GexSi(1−x) virtual substrates on Si. Despite unoptimized laser structures with high series resistance and large threshold current densities, surface threading dislocation densities as low as 2×106 cm−2 enabled cw room-temperature lasing at a wavelength of 858nm. The laser structures are oxide-stripe gain-guided devices with differential quantum efficiencies of 0.16 and threshold current densities of 1550A/cm2. Identical devices grown on commercial GaAs substrates showed differential quantum efficiencies of 0.14 and threshold current densities of 1700A/cm2. This comparative data agrees with our previous measurements of near-bulk minority carrier lifetimes in GaAs grown on Ge/GeSi/Si substrates. A number of GaAs/Ge/Si integration issues including thermal expansion mismatch and Ge autodoping behavior in GaAs were overcome.
In this paper, we study the optimal storage investment problem faced by an owner of renewable generator the purpose of which is to support a portion of a local demand. The goal is to minimize the long-term average cos...
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ISBN:
(纸本)9781612848013
In this paper, we study the optimal storage investment problem faced by an owner of renewable generator the purpose of which is to support a portion of a local demand. The goal is to minimize the long-term average cost of electric bills in the presence of dynamic pricing as well as investment in storage, if any. Examples of this setting include homeowners, industries, hospitals or utilities that own wind turbines or solar panels and have their own demand that they prefer to support with renewable generation. We formulate the optimal storage investment problem and propose a simple balancing control for operating storage. We show that this policy is optimal for constant prices and some special cases of price structures that restrict to at most two levels. Under this policy, we provide structural results that help in evaluating the optimal storage investment uniquely and efficiently. We then characterize how the cost and efficiency of storage, dynamic pricing and parameters that characterize the uncertainty in generation and demand impact the size of optimal storage and its gain. One surprising result we prove is that for storage to be profitable under the balancing policy the ratio amortized cost of storage to the peak price of energy should be less than 1/4.
The Total Influence (Average Sensitivity) of a discrete function is one of its fundamental measures. We study the problem of approximating the total influence of a monotone Boolean function f : {0, 1}n → {0, 1}, whic...
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Intelligent transportation systems (ITS) for in-vehicle cooperative active safety continue to be examined worldwide by government and industry consortia. The role of these systems in everyday driving tasks will be to ...
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