Neuroactive peptides are packaged as proproteins into dense core vesicles or secretory granules, where they are cleaved at dibasic residues by copackaged proprotein convertases. We show here that the Caenorhabditis elegans egl-3 gene encodes a protein that is 57% identical to mouse proprotein convertase type 2 (PC2), and we provide evidence that this convertase regulates mechanosensory response...

Abstract The necessity to reduce the consumption of cement in cementitious composites is a worldwide concern and partial replacement with industrial waste has gathered considerable interest. One type glass, which rich amorphous silica but can present problems its use due alkali-silica reaction (ASR). objective this study was analyze compressive strengths mortars using ground glass residue (GLR)...

This paper presents a massively parallel parser that predicts critical attachment behaviors of the human sentence processor, without the use of explicit preference heuristics or revision strategies. The processing of a syntactic ambiguity is modeled as an active, distributed competition among the potential attachments for a phrase. Computationally motivated constraints on the competitive mechan...

For sequential jumps detection, isolation, and estimation in discrete-time stochastic linear systems, Willsky and Jones (1976) have developed the Generalized Likelihood Ratio (GLR) test. After each detection and isolation of one jump, the treatment of another possible jump is obtained by a direct state estimate and covariance incrementation of the Kalman filter originally designed on the jump-f...

Natural language queries provide a natural means for common people to interact with computers and access to on-line information. Due to the complexity of natural language, the traditional way of using a single grammar for a single language parser leads to an inefficient, fragile, and often very large language processing system. Multi-Parser Architecture (MPA) intends to alleviate these problems...

We consider the change-point detection problem of deciding, based on noisy measurements, whether an unknown signal over a given graph is constant or is instead piecewise constant over two induced subgraphs of relatively low cut size. We analyze the corresponding generalized likelihood ratio (GLR) statistic and relate it to the problem of finding a sparsest cut in a graph. We develop a tractable...

Recently, monitoring the process mean and variability simultaneously for multivariate processes by using a single control chart has drawn some attention. However, due to the complexity of multivariate distribution, the existing methods in the univariate processes can not be readily extended to the multivariate processes. In this paper, we propose a new single control chart which integrates the ...

The C. elegans polymodal ASH sensory neurons detect mechanical, osmotic, and chemical stimuli and release glutamate to signal avoidance responses. To investigate the mechanisms of this polymodal signaling, we have characterized the role of postsynaptic glutamate receptors in mediating the response to these distinct stimuli. By studying the behavioral and electrophysiological properties of worms...

The Cox proportional hazards model is the standard tool for relative risk estimation and inference for survival studies. The generalized logrank (GLR) approach (Mehrotra and Roth, 2001) has been proposed as a more efficient alternative to the Cox model when the number of subjects is small and there are no ties in the data. However, ties will result if continuous data are grouped by rounding to ...

This paper presents a new statistical language model for speech recognition, based on Generalized LR parsing. The proposed model, the Abstracted Probabilistic GLR (APGLR) model, is an extension of the existing structured language model known as the Probabilistic GLR (PGLR) model. It can predict next words from arbitrarily abstracted categories. The APGLR model is also a generalization of the or...