Results 101 to 110 of about 4,806,885 (346)

Maximum Likelihood Decoder for Variable Length Codes

Sir Syed University Research Journal of Engineering and Technology, 2012
Variable Length Codes (VLC) are used to transfer same amount of digital information in relatively short period of time. In variable length coding, the characters with higher probability of occurrence are assigned shorter bits sequence and the characters
Syed Misbahuddin, Mohammed Talal Simsim
doaj  

New Technique of Near Maximum Likelihood Detection Processes

Vìsnik Nacìonalʹnogo Tehnìčnogo Unìversitetu Ukraïni Kììvsʹkij Polìtehnìčnij Ìnstitut: Serìâ Radìotehnìka, Radìoaparatobuduvannâ, 2016
This paper introduces new detector named newly adaptively designed near maximum likelihood detector (NADD). This detector combines adaptively three types of near maximum likelihood detectors, pseudobinary, pseudoquaternary, and pseudooctonary.
Muhanned AL-Rawi, Muaayed AL-Rawi
doaj   +1 more source

Data cloning: Maximum likelihood estimation of DSGE models

Results in Applied Mathematics, 2020
We present evidence supporting the use of the data cloning method for maximum likelihood estimation of Dynamic Stochastic General Equilibrium models.
Luiz Gustavo C. Furlani, Márcio P. Laurini, Marcelo S. Portugal   +2 more
doaj   +1 more source

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

FEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura, Shin‐ichi Tate, Kyota Yasuda   +2 more
wiley   +1 more source

Calculation of Multivariate Normal Probabilities by Simulation, with Applications to Maximum Simulated Likelihood Estimation [PDF]

We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata programs for this purpose: mvdraws for deriving draws from the standard uniform density using either Halton or pseudo-random sequences, and an egen ...
Lorenzo Cappellari, Stephen P. Jenkins
core  

Residual tail twisting in ascidian larvae is stabilized by asymmetric myofibrils that resist bilateral symmetry restoration

FEBS Letters, EarlyView.
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure, Misaki K. Nishio, Satoru Okuda, Kohji Hotta   +3 more
wiley   +1 more source

Bias-Corrected Maximum Likelihood Estimation for the Process Performance Index using Inverse Gaussian Distribution [PDF]

, 2023
An analytical bias-corrected maximum likelihood estimation procedure and a bootstrap bias-corrected maximum likelihood estimation procedure are proposed for the inverse Gaussian distribution (IGD) to obtain more reliable maximum likelihood estimates ...
Tsai, Tzong-Ru;Xin, H;Fan, Ya-Yen;Lio, YL
core  

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

FEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson, Tomáš Gedeon, Mauricio Garcia Benitez, Campbell Putnam, William R. Harcombe, Radhakrishnan Mahadevan, Ashley E. Beck   +6 more
wiley   +1 more source

Robust maximum likelihood training of heteroscedastic probabilistic neural networks [PDF]

, 1998
We consider the probabilistic neural network (PNN) that is a mixture of Gaussian basis functions having different variances. Such a Gaussian heteroscedastic PNN is more economic, in terms of the number of kernel functions required, than the Gaussian ...
Sheng Chen, Zheng Rong Yang, Yang, Z.R., Chen, S.   +3 more
core   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source