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SSCG With Hershey-Kiss Modulation Profile Using Dual Sigma-Delta Modulators

open access: yesIEICE Electronics Express, 2010
This letter describes a spread spectrum clock generator (SSCG) circuit with the Hershey-Kiss modulation profile using two stacked sigma-delta modulators. The proposed Hershey-Kiss profile modulator generates various slopes to achieve non-linear modulation profile.
Jin-Ku Kang, Hyun-Bae Jin
exaly   +4 more sources
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Exploring the Selectivity Profile of Sigma Receptor Ligands by Molecular Docking and Pharmacophore Analyses

Medicinal Chemistry, 2021
Background: Sigma receptors (Rs), initially classified as an additional class of opioid receptors, are now recognized as a unique entity with no homology to opioid receptors divided into two distinct subtypes, namely σ1R and σ2R. σ1R-targeting ligands have been conceived and explored for the treatment of various neurodegenerative disorders and ...
Righetti G.   +3 more
openaire   +2 more sources

Neuropharmacological Profile of a Novel and Selective Ligand of the Sigma Site: SR 31742A

Neuropharmacology, 1993
The biochemical, electrophysiological and behavioural effects of SR 31742A, a novel and selective ligand of sigma sites in brain, labelled with (+)-[3H]3PPP (Ki = 5.3 +/- 0.3 nM), were investigated in rodents and compared with those of DA antagonists having (haloperidol) or not (spiroperidol) a high affinity for sigma sites. Like haloperidol but unlike
Martine Poncelet, G le Fur, R Steinberg
exaly   +3 more sources

Novel Sigma Receptor Ligands:  Synthesis and Biological Profile

Journal of Medicinal Chemistry, 2007
The aim of the present study was to investigate the biological profile of new substituted 1-phenyl-2-cyclopropylmethylamines. High affinity for both sigma subtypes was achieved when 4-phenylpiperidin-4-ol (4a-e) and 4-benzylpiperidine moieties were present (5a-e).
PREZZAVENTO, Orazio   +11 more
openaire   +4 more sources

Effects of Conformational Distributions on Sigma Profiles in COSMO Theories

The Journal of Physical Chemistry A, 2005
The charge density or sigma profile of a solute molecule is an essential component in COSMO (conductor-like screen model) based solvation theories, and its generation depends on the molecular conformation used. The usual procedure is to determine the conformation of an isolated molecule, and assume that this is unchanged when the molecule is placed in ...
Shu, Wang   +3 more
openaire   +2 more sources

Neuropharmacological Profile of a Selective Sigma Ligand, Igmesine: A Potential Antidepressant

Neuropharmacology, 2001
Igmesine is a selective sigma (sigma(1)) ligand that was reported to exert antidepressant action through an unknown mechanism of action. A number of neurochemical measures were taken in this study in efforts to understand its mode of action. Following 21-day drug treatments, the actions of igmesine on a number of neurochemical measures were ...
H C Akunne, T A Pugsley, F Roman
exaly   +3 more sources

Six Sigma for improving aesthetic defects in aluminum profiles facility

Facilities, 2017
Purpose This paper aims to develop a quality plan to detect aesthetic defects in extruded aluminum profiles before the fabrication stage based on the Six Sigma improvement methodology in an aluminum facility. These defects are hard to be detected at the fabrication stage. It is also hard to be fixed in the site.
Laith A. Hadidi   +2 more
openaire   +1 more source

COSMO-SAC Sigma Profile Generation with Conceptual Segment Concept

Industrial & Engineering Chemistry Research, 2014
Solvation thermodynamics-based models for predicting liquid-phase nonidealities and fluid-phase equilibria are gaining attention in modern chemical process and product development. Among this class of thermodynamic models, COSMO-RS and COSMO-SAC are two variants used extensively in industry. A key input to these models is the so-called sigma profile, i.
Md Rashedul Islam, Chau-Chyun Chen
openaire   +1 more source

Boosting Graph Neural Networks with Molecular Mechanics: A Case Study of Sigma Profile Prediction

Journal of Chemical Theory and Computation, 2023
Sigma profiles are quantum-chemistry-derived molecular descriptors that encode the polarity of molecules. They have shown great performance when used as a feature in machine learning applications. To accelerate the development of these models and the construction of large sigma profile databases, this work proposes a graph convolutional network (GCN ...
Dinis O. Abranches   +2 more
openaire   +2 more sources

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