Browsing MIT Open Access Articles by Title
Now showing items 12024-12043 of 55825
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Discerning the differential molecular pathology of proliferative middle ear lesions using Raman spectroscopy
(Nature Publishing Group, 2015-08)Despite its widespread prevalence, middle ear pathology, especially the development of proliferative lesions, remains largely unexplored and poorly understood. Diagnostic evaluation is still predicated upon a high index ... -
Discharging dynamics of topological batteries
(American Physical Society (APS), 2020) -
The Disciplinary Dislocations of (Architectural) History
(University of California Press, 1999-09) -
Disclosing pathogenic genetic variants to research participants: Quantifying an emerging ethical responsibility
(Cold Spring Harbor Laboratory Press, 2011-12)There is an emerging consensus that when investigators obtain genomic data from research participants, they may incur an ethical responsibility to inform at-risk individuals about clinically significant variants discovered ... -
Disclosure incentives when competing firms have common ownership
(Elsevier BV, 2019)© 2019 Elsevier B.V. This paper examines whether common ownership – i.e., instances where investors simultaneously own significant stakes in competing firms – affects voluntary disclosure. We argue that common ownership ... -
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2021) -
Disconnected, fragmented, or united? a trans-disciplinary review of network science
(Springer International Publishing, 2016-07)During decades the study of networks has been divided between the efforts of social scientists and natural scientists, two groups of scholars who often do not see eye to eye. In this review I present an effort to mutually ... -
Discontinuities in Driven Spin-Boson Systems due to Coherent Destruction of Tunneling: Breakdown of the Floquet-Gibbs Distribution
(American Physical Society (APS), 2019-09)If an open quantum system is periodically driven with high frequency and the driving commutes with the system-bath coupling operator, it is known that the system approaches a Floquet-Gibbs state, a generalization of Gibbs ... -
A discontinuous Galerkin method for nonlinear shear-flexible shells
(Elsevier, 2016-01)In this paper, a discontinuous Galerkin method for a nonlinear shear-flexible shell theory is proposed that is suitable for both thick and thin shell analysis. The proposed method extends recent work on Reissner–Mindlin ... -
Discordant Calcium Transient and Action Potential Alternans in a Canine Left-Ventricular Myocyte
(Institute of Electrical and Electronics Engineers, 2009-08)Electrocardiographic alternans is known to predispose to increased susceptibility to life threatening arrhythmias and sudden cardiac death. While this decreased level of cardiac electrical stability is often due to the ... -
Discourse Topic and Gestural Form
(Association for Computing Machinery (ACM), 2008)Coverbal gesture provides a channel for the visual expression of ideas. While some gestural emblems have culturally predefined forms (e.g., "thumbs up"), the relationship between gesture and meaning is, in general, not ... -
DISCOVERIES FROM A NEAR-INFRARED PROPER MOTION SURVEY USING MULTI-EPOCH TWO MICRON ALL-SKY SURVEY DATA
(American Astronomical Society, 2010-09)We have conducted a 4030 deg[superscript 2] near-infrared proper motion survey using multi-epoch data from the Two Micron All-Sky Survey (2MASS). We find 2778 proper motion candidates, 647 of which are not listed in SIMBAD. ... -
Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data
(Springer New York, 2018-01-01)© 2018, Springer Science+Business Media LLC. With the extraordinary rise in available biological data, biologists and clinicians need unbiased tools for data integration in order to reach accurate, succinct conclusions. ... -
Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data
(Springer New York, 2018-01-01)© 2018, Springer Science+Business Media LLC. With the extraordinary rise in available biological data, biologists and clinicians need unbiased tools for data integration in order to reach accurate, succinct conclusions. ... -
Discovering Amorphous Indium Phosphide Nanostructures with High-Temperature ab Initio Molecular Dynamics
(American Chemical Society (ACS), 2015-09)We employ high-temperature ab initio molecular dynamics (AIMD) as a sampling approach to discover low-energy, semiconducting, indium phosphide nanostructures. Starting from under-coordinated models of InP (e.g. a single ... -
Discovering and forecasting extreme events via active learning in neural operators
(Springer Science and Business Media LLC, 2022)Extreme events in society and nature, such as pandemic spikes, rogue waves or structural failures, can have catastrophic consequences. Characterizing extremes is difficult, as they occur rarely, arise from seemingly benign ... -
Discovering blind spots in reinforcement learning
(2018)Agents trained in simulation may make errors in the real world due to mismatches between training and execution environments. These mistakes can be dangerous and difficult to discover because the agent cannot predict them ... -
Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods
(Nature Publishing Group, 2017-04)Modern ab initio methods have rapidly increased our understanding of solid state materials properties, chemical reactions, and the quantum interactions between atoms. However, poor scaling often renders direct ab initio ... -
Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation
(Proceedings of the National Academy of Sciences, 2022)<jats:p> Collagen is the most abundant structural protein in humans, providing crucial mechanical properties, including high strength and toughness, in tissues. Collagen-based biomaterials are, therefore, used ... -
Discovering differential genome sequence activity with interpretable and efficient deep learning
(Public Library of Science (PLoS), 2021-08)<jats:p>Discovering sequence features that differentially direct cells to alternate fates is key to understanding both cellular development and the consequences of disease related mutations. We introduce Expected Pattern ...
