Search

Your search keyword '"Sá MM"' showing total 2 results
Start Over Author "Sá MM" Publisher taylor & francis
2 results on '"Sá MM"'

1. The role of collaboration in reducing quality variability in Brazilian breweries

Author

Prim, AL, Sarma, V, de Sá, MM, Prim, AL, Sarma, V, and de Sá, MM

Abstract

This paper aims to analyse how small-scale breweries undertake vertical and horizontal collaborations to manage their quality performance (when measured by reducing quality variabilities). While vertical collaborations are overemphasised, horizontal and simultaneous collaboration efforts have been understudied. Our contribution lies in proposing an interplay of vertical and horizontal collaborations through information sharing, joint decision-making, and knowledge exchange with intra- and inter-supply chain partners to address quality variability issues. We draw attention to supply chain relationships being predominantly informal, which contribute strongly towards accessing external sources of knowledge. Additionally, such collaborative efforts have led companies to achieve mutual gains in their relationships. Finally, a framework is presented that consolidates the supply chain actors, collaboration types, socialisation mechanisms, and relationship types.

Published
2021

2. Convergent QSAR studies on a series of NK₃ receptor antagonists for schizophrenia treatment.

Author

Primi MC, Maltarollo VG, Magalhães JG, de Sá MM, Rangel-Yagui CO, and Trossini GH

Subjects
Cyclopropanes chemistry, Humans, Piperidines chemistry, Quantitative Structure-Activity Relationship, Receptors, Neurokinin-3 antagonists & inhibitors, Schizophrenia drug therapy
Abstract

The dopamine hypothesis states that decreased dopaminergic neurotransmission reduces schizophrenia symptoms. Neurokinin-3 receptor (NK3) antagonists reduce dopamine release and have shown positive effects in pre-clinical and clinical trials. We employed 2D and 3D-QSAR analysis on a series of 40 non-peptide NK3 antagonists. Multivariate statistical analysis, PCA and HCA, were performed to rational training/test set splitting and PLS regression was employed to construct all QSAR models. We constructed one highly predictive CoMFA model (q(2)= 0.810 and r(2)= 0.929) and acceptable HQSAR and CoMSIA models (HQSAR q(2)= 0.644 and r(2)= 0.910; CoMSIA q(2)= 0.691, r(2)= 0.911). The three different techniques provided convergent physicochemical results. All models indicate cyclopropane, piperidine and di-chloro-phenyl ring attached to cyclopropane ring and also the amide group attached to the piperidine ring could play an important role in ligand-receptor interactions. These findings may contribute to develop potential NK3 receptor antagonists for schizophrenia.

Published
2016
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results