scholarly journals Probabilistic Distance, Capacity Clustering Location Model of a Semi-Obnoxious Facility, a Real Case of Tafo, Kumasi, Ghana

2019 ◽  
Vol 09 (03) ◽  
pp. 146-160
Author(s):  
Dominic Otoo ◽  
Charles Sebil ◽  
Justice Amenyo Kessie ◽  
Ernest Larbi
Keyword(s):  
Location Model ◽  
Real Case ◽  
Obnoxious Facility ◽  
Probabilistic Distance

Location Model of Processing Factory of Crop Residues Fodder

ICLEM 2010 ◽  
2010 ◽  
Author(s):  
Yufeng Sun ◽  
Quanguo Zhang ◽  
Guangyin Xu
Keyword(s):  
Crop Residues ◽  
Location Model

Clickable Cellulosic Surfaces for Peptide-Based Bioassays

2019 ◽  
Author(s):  
Maria Teresa Odinolfi ◽  
Alessandro Romanato ◽  
Greta Bergamaschi ◽  
Alessandro Strada ◽  
Laura Sola ◽  
...  
Keyword(s):  
Target Recognition ◽  
Real Case ◽  
Polymeric Coating ◽  
Healthy Controls ◽  
Nonspecific Adsorption ◽  
Cellulosic Materials ◽  
Cellulose Substrates

The use of peptides in paper-based analytics is a highly appealing field, yet it suffers from severe limitations. This is mostly due to the loss of effective target recognition properties of this relatively small bioprobes upon nonspecific adsorption onto cellulose substrates. Here, we address this issue by introducing a simple polymer-based strategy to obtain clickable cellulosic surfaces, that we exploited for the chemoselective bioconjugation of peptide bioprobes. Our method largely outperformed standard adsorption-based immobilization strategy in a challenging, real-case immunoassay, namely the diagnostic discrimination of Zika+ individuals from healthy controls. Of note, the clickable polymeric coating not only allows efficient peptides bioconjugation, but it provides favorable anti-fouling properties to the cellulosic support. We envisage our strategy to broaden the repertoire of cellulosic materials manipulation and promote a renewed interest in peptide-based paper bioassays.

Clickable Cellulosic Surfaces for Peptide-Based Bioassays

2019 ◽  
Author(s):  
Maria Teresa Odinolfi ◽  
Alessandro Romanato ◽  
Greta Bergamaschi ◽  
Alessandro Strada ◽  
Laura Sola ◽  
...  
Keyword(s):  
Target Recognition ◽  
Real Case ◽  
Polymeric Coating ◽  
Healthy Controls ◽  
Nonspecific Adsorption ◽  
Cellulosic Materials ◽  
Cellulose Substrates

The use of peptides in paper-based analytics is a highly appealing field, yet it suffers from severe limitations. This is mostly due to the loss of effective target recognition properties of this relatively small bioprobes upon nonspecific adsorption onto cellulose substrates. Here, we address this issue by introducing a simple polymer-based strategy to obtain clickable cellulosic surfaces, that we exploited for the chemoselective bioconjugation of peptide bioprobes. Our method largely outperformed standard adsorption-based immobilization strategy in a challenging, real-case immunoassay, namely the diagnostic discrimination of Zika+ individuals from healthy controls. Of note, the clickable polymeric coating not only allows efficient peptides bioconjugation, but it provides favorable anti-fouling properties to the cellulosic support. We envisage our strategy to broaden the repertoire of cellulosic materials manipulation and promote a renewed interest in peptide-based paper bioassays.

Location Model for Mixed Data Using Winsorization with Comedian

2018 ◽  
Vol 9 (12) ◽  
pp. 1847-1850
Author(s):  
LathaV LathaV ◽  
P Rajalakshmi
Keyword(s):  
Location Model ◽  
Mixed Data

scholarly journals Semantic and knowledge based support to business model evaluation to stimulate green behaviour of electric vehicles’ drivers and energy prosumers

2021 ◽  
Author(s):  
Beniamino Di Martino ◽  
Dario Branco ◽  
Luigi Colucci Cante ◽  
Salvatore Venticinque ◽  
Reinhard Scholten ◽  
...  
Keyword(s):  
Business Model ◽  
Model Evaluation ◽  
Business Models ◽  
Real Case ◽  
Sustainable Mobility ◽  
Semantic Framework ◽  
Knowledge Based ◽  
Survey Results ◽  
Energy Prosumers

AbstractThis paper proposes a semantic framework for Business Model evaluation and its application to a real case study in the context of smart energy and sustainable mobility. It presents an ontology based representation of an original business model and examples of inferential rules for knowledge extraction and automatic population of the ontology. The real case study belongs to the GreenCharge European Project, that in these last years is proposing some original business models to promote sustainable e-mobility plans. An original OWL Ontology contains all relevant Business Model concepts referring to GreenCharge’s domain, including a semantic description of TestCards, survey results and inferential rules.

scholarly journals AOX removal from pulp and paper wastewater by Fenton and photo-Fenton processes: A real case-study

2020 ◽  
Vol 6 ◽  
pp. 770-775 ◽  
Author(s):  
J.P. Ribeiro ◽  
C.C. Marques ◽  
I. Portugal ◽  
M.I. Nunes
Keyword(s):  
Pulp And Paper ◽  
Real Case ◽  
Paper Wastewater ◽  
Aox Removal
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