Slip inversion along inner fore-arc faults, eastern Tohoku, Japan

The kinematics of deformation in the overriding plate of convergent margins may vary across timescales ranging from a single seismic cycle to many millions of years. In Northeast Japan, a network of active faults has accommodated contraction across the arc since the Pliocene, but several faults located along the inner fore arc experienced extensional aftershocks following the 2011 Tohoku-oki earthquake, opposite that predicted from the geologic record. This observation suggests that fore-arc faults may be favorable for stress triggering and slip inversion, but the geometry and deformation history of these fault systems are poorly constrained. Here we document the Neogene kinematics and subsurface geometry of three prominent fore-arc faults in Tohoku, Japan. Geologic mapping and dating of growth strata provide evidence for a 5.6–2.2 Ma initiation of Plio-Quaternary contraction along the Oritsume, Noheji, and Futaba Faults and an earlier phase of Miocene extension from 25 to 15 Ma along the Oritsume and Futaba Faults associated with the opening of the Sea of Japan. Kinematic modeling indicates that these faults have listric geometries, with ramps that dip ~40–65°W and sole into subhorizontal detachments at 6–10 km depth. These fault systems can experience both normal and thrust sense slip if they are mechanically weak relative to the surrounding crust. We suggest that the inversion history of Northeast Japan primed the fore arc with a network of weak faults mechanically and geometrically favorable for slip inversion over geologic timescales and in response to secular variations in stress state associated with the megathrust seismic cycle.Funding was provided by a grant from the National Science Foundation Tectonics Program grant EAR-0809939 to D.M.F. and E.K., Geologic Society of America Graduate Research Grants, and the P.D. Krynine Memorial Fund. The authors thank Gaku Kimura, Kyoko Tonegawa, Hiroko Watanabe, Jun Kameda, and Asuka Yamaguchi for scientific and logistical support, and Kristin Morell for comments on early versions of the manuscript. We also thank Yuzuru Yamamoto and Kohtaro Ujiie for their detailed reviews and suggestions for improvement to the manuscript. The authors acknowledge the use of the Move Software Suite granted by Midland Valley's Academic Software Initiative. Geologic, structural, stratigraphic, and chronologic data used herein are accessible in manuscript figures, and in the citations therein. Input geologic data for trishear kinematic modeling can be accessed in Table 1 and in the supporting information. (EAR-0809939 - National Science Foundation Tectonics Program grant; Geologic Society of America Graduate Research Grants; P.D. Krynine Memorial Fund

Stratigraphy and structural geology in the Amenia-Pawling Valley, Dutchess County, New York

Guidebook for field trips in western Massachusetts, northern Connecticut and adjacent areas of New York: 67th annual meeting October 10, 11, and 12, 1975: Trip C-1

Additive factors and stages of mental processes in task networks.

To perform a task a subject executes mental processes. An experimental manipulation, such as a change in stimulus intensity, is said to selectively influence a process if it changes the duration of that process leaving other process durations unchanged. For random process durations a definition of a factor selectively influencing a process by increments is given in terms of stochastic dominance (also called “the usual stochastic order”. A technique for analyzing reaction times, Sternberg\u27s Additive Factor Method, assumes all the processes are in series. When all processes are in series, each process is called a stage. With the Additive Factor Method, if two experimental factors selectively influence two different stages by increments, the factors will have additive effects on reaction time. An assumption of the Additive Factor Method is that if two experimental factors interact, then they influence the same stage. We consider sets of processes in which some pairs of processes are sequential and some are concurrent (i. e., the processes are partially ordered). We propose a natural definition of a stage for such sets of processes. For partially ordered processes, with our definition of a stage, if two experimental factors selectively influence two different processes by increments, each within a different stage, then the factors have additive effects. If each process selectively influenced by increments is in the same stage, then an interaction is possible, although not inevitable

A global picture of quantum de Sitter space

Perturbative gravity about a de Sitter background motivates a global picture of quantum dynamics in `eternal de Sitter space,' the theory of states which are asymptotically de Sitter to both future and past. Eternal de Sitter physics is described by a finite dimensional Hilbert space in which each state is precisely invariant under the full de Sitter group. This resolves a previously-noted tension between de Sitter symmetry and finite entropy. Observables, implications for Boltzmann brains, and Poincare recurrences are briefly discussed.Comment: 17 pages, 1 figure. v2: minor changes, references added. v3: minor changes to correspond to PRD versio

Legitimate to whom? The challenge of audience diversity and new venture legitimacy

We examine how entrepreneurs manage new venture legitimacy judgments across diverse audiences, so as to appear legitimate to the different audience groups that provide much needed financial resources for venture survival and growth. To do so, we first identify and describe the different mechanisms by which entrepreneurs can establish new venture legitimacy across diverse audiences. We then account for the institutional logics that characterize different new venture audience groups, and use this as a basis for uncovering how and why the legitimacy criteria for a new technology venture may vary depending on the audience. We then consider how leaders of entrepreneurial ventures may use framing as a means to manage legitimacy judgments across various audiences, and thereby improve their chances of accessing critical financial resources for venture survival and growth

Stochastic PERT networks as models of cognition: Derivation of the mean, variance, and distribution of reaction time using Order-of-Processing (OP) diagrams

It is frequently assumed that the mental activity which leads to a given response is made up of separable components or processes. One or more of the processes are assumed to contribute to the time required to respond. Computation of the mean, variance, and distribution of the reaction time is relatively straightforward when all processes are arranged in series or parallel. However, such is not the case when the processes have complex arrangements. A solution to a useful special case of the above problem is proposed. Specifically, it is shown that simple computations yield closed form expressions for the mean, variance, and distribution of reaction time when the processes can be arranged in a stochastic PERT network and when the durations of individual processes are sums of mutually independent, exponentially distributed random variables. The method of solution relies on the construction of an Order-of-Processing (OP) diagram from the original PERT network representation of behavior.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/25195/1/0000634.pd