This paper describes a novel GMM-based bandwidth extension (BWE) method based on a sub-band basis spectrum model (SBM), in which each dimensional component represents a specific acoustic space in the frequency domain. The proposed method can achieve the BWE from a speech data with an arbitrary frequency bandwidth while the conventional methods perform the conversion from a fixed narrowband data...

An experiment was conducted to compare nutritional composition of soybean meal (SBM) produced in China, Argentina, Brazil, the U.S., or India and the apparent ileal digestibility (AID) and the standardized ileal digestibility (SID) of CP and AA in these SBM when fed to growing pigs. Five sources of SBM from China, Argentina, Brazil, and the U.S., and 4 sources from India were collected for a to...

We propose a dynamic DEA model involving network structure in each period within the framework of a slacks-based measure approach. We have previously published the network SBM (NSBM) and the dynamic SBM (DSBM) models separately. Hence, this article is a composite of these two models. Vertically, we deal with multiple divisions connected by links of network structure within each period and, hori...

The Bass Model (BM) is a widely-used framework in marketing for the study of new-product sales growth. Its usefulness as a demand model has also been recognized in production, inventory, and capacity-planning settings. The BM postulates that the cumulative number of adopters of a new product in a large population approximately follows a deterministic trajectory whose growth rate is governed by ...

Spina bifida meningomyelocele (SBM) is a neural tube defect that involves dysraphism of the spinal cord and extensive reorganization of the brain. The authors assessed the relationship between chronotype, diurnal preferences, and sleep problems in individuals with SBM and healthy controls. Although individuals with SBM showed the characteristic decelerating quadratic relationship between age an...

ranking of critical inputs was, for diet 1, SBM kd (r=-0.5), CS A fraction (r=-0.34), and dried corn kd (r=-0.25), for diet 2, SBM kd (r=-0.55), grass hay CP (r=0.32), and dried corn kd (r=-0.31). For the CNCPS, the ranking was, for diet 1, SBM kd of B2 pool (r=-0.5), dried corn kd (r=-0.26), and WB CP (r=0.26), for diet 2, SBM kd (r=-0.52), grass hay CP (r=0.36), and dried corn kd (r=-0.35). O...

We consider Zeeman field effects on a spin Bose-metal SBM phase on a two-leg triangular ladder. This phase was found in a spin-1/2 model with ring exchanges D. N. Sheng, O. I. Motrunich, and M. P. A. Fisher, Phys. Rev. B 79, 205112 2009 and was also proposed to appear in an interacting electronic model with longer-ranged repulsion H.-H. Lai and O. I. Motrunich, Phys. Rev. B 81, 045105 2010 . Us...

There has been great interest in recent years on statistical models for dynamic networks. In this paper, I propose a stochastic block transition model (SBTM) for dynamic networks that is inspired by the well-known stochastic block model (SBM) for static networks and previous dynamic extensions of the SBM. Unlike most existing dynamic network models, it does not make a hidden Markov assumption o...

Significant progress has been made recently on theoretical analysis of estimators for the stochastic block model (SBM). In this paper, we consider the multi-graph SBM, which serves as a foundation for many application settings including dynamic and multi-layer networks. We explore the asymptotic properties of two estimators for the multi-graph SBM, namely spectral clustering and the maximum-lik...

Similarity-based methods (SBM) are a generalization of the minimal distance (MD) methods which form a basis of several machine learning and pattern recognition methods. Investigation of similarity leads to a fruitful framework in which many classification, approximation and association methods are accommodated. Probability p(C|X;M) of assigning class C to a vector X, given a classification mode...