Modeling Errors in NOE Data with a Log-normal Distribution Improves the Quality of NMR Structures

2005 ◽  
Vol 127 (46) ◽  
pp. 16026-16027 ◽  
Author(s):  
Wolfgang Rieping ◽  
Michael Habeck ◽  
Michael Nilges
Keyword(s):  
Normal Distribution ◽  
Nmr Structures ◽  
Modeling Errors ◽  
Log Normal ◽  
Log Normal Distribution

scholarly journals Improved Quality of Service for Mixed Traffic OFDMA –SWIPT System using Log-Normal Distribution

2019 ◽  
Vol 8 (3) ◽  
pp. 1213-1216
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Normal Distribution ◽  
Error Rate ◽  
Data Transfer ◽  
Power Splitting ◽  
Mixed Traffic ◽  
Log Normal ◽  
Log Normal Distribution

Resource allocation is a protuberant, unavoidable feature for all future communication systems .It is important to maintain true communication between sources to destination without any loss. The Quality of Service (QoS) is also another important factor for any type of mixed and multi user communication. In this paper, OFDMA – SWIPT is considered for mixed traffic communication to data transfer and power (energy) gathering. SWIPT can be operated in two modes for data transfer and power calculation, those are Time Switching (TS) and Power splitting (PS). One of the methodologies for resource allocation can be done by using either PS-SWIPT or TS-SWIPT. By comparing PS-SWIPT and TS-SWIPT under various parameters like PAPR (peak to average power ratio), Channel state information (CSI), Quality of service (QoS), Bit Error Rate (BER) and TS-SWIPT system is best suited method. In this methodology the error rate becoming more, The present SWIPT system is best suited for limited users, if the number of users and mixed traffic is applied then Quality of service (QoS) will decreases. In proposed system, efficiency of the SWIPT OFDM system with Log-Normal function is analyzed. After adding Log-Normal distribution function if we use mixed traffic then QoS will be increasing, in simulation results it is proved.

scholarly journals A Universal Model for the Log-Normal Distribution of Elasticity in Polymeric Gels and Its Relevance to Mechanical Signature of Biological Tissues

Biology ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 64
Author(s):  
Arnaud Millet
Keyword(s):  
Elastic Modulus ◽  
Normal Distribution ◽  
Biological Tissues ◽  
Force Microscopy ◽  
Polymeric Gels ◽  
Atomic Force ◽  
Clear Explanation ◽  
Log Normal ◽  
Log Normal Distribution

The mechanosensitivity of cells has recently been identified as a process that could greatly influence a cell’s fate. To understand the interaction between cells and their surrounding extracellular matrix, the characterization of the mechanical properties of natural polymeric gels is needed. Atomic force microscopy (AFM) is one of the leading tools used to characterize mechanically biological tissues. It appears that the elasticity (elastic modulus) values obtained by AFM presents a log-normal distribution. Despite its ubiquity, the log-normal distribution concerning the elastic modulus of biological tissues does not have a clear explanation. In this paper, we propose a physical mechanism based on the weak universality of critical exponents in the percolation process leading to gelation. Following this, we discuss the relevance of this model for mechanical signatures of biological tissues.

The Log Normal Distribution 1

2020 ◽  
pp. 150-188
Author(s):  
Richard Holland ◽  
Richard St. John
Keyword(s):  
Normal Distribution ◽  
Log Normal ◽  
Log Normal Distribution
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