Resolution of the board on the wearing of the tallit

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Resolution prohibiting the performing of ceremonies at funerals of persons intermarried with Christians

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Resolution directing the hazan not to offer any mitzvot for any individuals but those customary

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Resolution regarding salary of Gershom Seixas

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Resolution of Trustees, K. K. S. I. to buy ground in Beaver Street, in rear of Mill Street synagogue

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Resolution asking hazan to prepare inventory of property

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Fragment of resolution regarding sale of seats

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Letter and resolution of the trustees

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Copy of resolution regarding donation of N. Judah, H. Henricks and A. Touro to building of shul

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Resolution regarding relief of sufferers of fire in Hague Street

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Robust and High-resolution Voiced/Unvoiced Classification in Noisy Speech Using A Signal Smoothness Criterion

We propose a novel technique for robust voiced/unvoiced segment detection in noisy speech, based on local polynomial regression. The local polynomial model is well-suited for voiced segments in speech. The unvoiced segments are noise-like and do not exhibit any smooth structure. This property of smoothness is used for devising a new metric called the variance ratio metric, which, after thresholding, indicates the voiced/unvoiced boundaries with 75% accuracy for 0dB global signal-to-noise ratio (SNR). A novelty of our algorithm is that it processes the signal continuously, sample-by-sample rather than frame-by-frame. Simulation results on TIMIT speech database (downsampled to 8kHz) for various SNRs are presented to illustrate the performance of the new algorithm. Results indicate that the algorithm is robust even in high noise levels.

Higher-resolution structure of the human insulin receptor ectodomain: Multi-modal inclusion of the insert domain

Insulin receptor (IR) signaling is critical to controlling nutrient uptake and metabolism. However, only a low-resolution (3.8 Å) structure currently exists for the IR ectodomain, with some segments ill-defined or unmodeled due to disorder. Here, we revise this structure using new diffraction data to 3.3 Å resolution that allow improved modeling of the N-linked glycans, the first and third fibronectin type III domains, and the insert domain. A novel haptic interactive molecular dynamics strategy was used to aid fitting to low-resolution electron density maps. The resulting model provides a foundation for investigation of structural transitions in IR upon ligand binding.

Structure of Sesbania mosaic virus at 3 angstrom resolution

Sesbania mosaic virus (SMV) is an isometric, ss-RNA plant virus found infecting Sesbania grandiflora plants in fields near Tirupathi, South India. The virus particles, which sediment at 116 S at pH 5.5, swell upon treatment with EDTA at pH 7.5 resulting in the reduction of the sedimentation coefficient to 108 S. SMV coat protein amino acid sequence was determined and found to have approximately 60% amino acid sequence identity with that of southern bean mosaic virus (SBMV). The amino terminal 60 residue segment, which contains a number of positively charged residues, is less well conserved between SMV and SBMV when compared to the rest of the sequence. The 3D structure of SMV was determined at 3.0 Å resolution by molecular replacement techniques using SBMV structure as the initial phasing model. The icosahedral asymmetric unit was found to contain four calcium ions occurring in inter subunit interfaces and three protein subunits, designated A, B and C. The conformation of the C subunit appears to be different from those of A and B in several segments of the polypeptide. These observations coupled with structural studies on SMV partially depleted of calcium suggest a plausible mechanisms for the initiation of the disassembly of the virus capsid.

Subspace intersection method of high-resolution bearing estimation in shallow ocean using acoustic vector sensors

The subspace intersection method (SIM) provides unbiased bearing estimates of multiple acoustic sources in a range-independent shallow ocean using a one-dimensional search without prior knowledge of source ranges and depths. The original formulation of this method is based on deployment of a horizontal linear array of hydrophones which measure acoustic pressure. In this paper, we extend SIM to an array of acoustic vector sensors which measure pressure as well as all components of particle velocity. Use of vector sensors reduces the minimum number of sensors required by a factor of 4, and also eliminates the constraint that the intersensor spacing should not exceed half wavelength. The additional information provided by the vector sensors leads to performance enhancement in the form of lower estimation error and higher resolution.