Farmed tilapia as an exposure route to microcystins in Zaria-Nigeria: A seasonal investigation

2021 ◽  
Vol 271 ◽  
pp. 116366
Author(s):  
Mathias Ahii Chia ◽  
Rabiu Abdulwahab ◽  
Ilu Ameh ◽  
J. Kolawole Balogun ◽  
Jehu Auta
Keyword(s):  
2020 ◽  
pp. 1-7
Author(s):  
Fatin N.S.A. ◽  
Norlida M.N. ◽  
Siti Z.M.J.

Log-linear model is a technique used to analyze the cross-classification categorical data or the contingency table. It is used to obtain the parsimony models that describe the interaction between the categorical variables in contingency tables. Log-linear models are commonly used in evaluating higher dimensional contingency tables that involves more than two categorical variables. This study focuses on analyzing data of poisoned patients from 2012 to 2014 using log-linear model. There are two model analyzed; model for demographic data of patients and model of poisoning information. For the first model, the variables involved are gender, age, race and state. Variables for the second model are circumstance of exposure, type of exposure, location of exposure, route of exposure and types of poison. Both log-linear models are developed to investigate the association between variables in the model. As a result of this study, the best model for demographic data and poisoning information are the model with three-ways interaction. For the best model of demographic data, there is an association between gender, age and race, race, gender and state as well as age, race and state. Meanwhile, the best model for poisoning information reveals that there is relationship between circumstance of exposure, route of exposure and type of poison, location of exposure, route of exposure and type of poison, circumstance of exposure, type of exposure and route of exposure, circumstance of exposure, location of exposure and route of exposure, circumstance of exposure, type of exposure and type of poison and also type of exposure, location of exposure and type of poison. Keywords: log-linear; demographic; gender; age; race; state; circumstance of exposure; type of exposure; location of exposure; route of exposure; types of poison


1996 ◽  
Vol 140 (1) ◽  
pp. 108-114 ◽  
Author(s):  
David K. La ◽  
Robert Schoonhoven ◽  
Norio Ito ◽  
James A. Swenberg

Nanomaterials ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1469 ◽  
Author(s):  
Zahra Zahra ◽  
Zunaira Habib ◽  
Sujin Chung ◽  
Mohsin Ali Badshah

The tremendous increase in the production and consumption of titanium dioxide (TiO2) nanoparticles (NPs) in numerous industrial products and applications has augmented the need to understand their role in wastewater treatment technologies. Likewise, the deleterious effects of wastewater on the environment and natural resources have compelled researchers to find out most suitable, economical and environment friendly approaches for its treatment. In this context, the use of TiO2 NPs as the representative of photocatalytic technology for industrial wastewater treatment is coming to the horizon. For centuries, the use of industrial wastewater to feed agriculture land has been a common practice across the globe and the sewage sludge generated from wastewater treatment plants is also used as fertilizer in agricultural soils. Therefore, it is necessary to be aware of possible exposure pathways of these NPs, especially in the perspective of wastewater treatment and their impacts on the agro-environment. This review highlights the potential exposure route of TiO2 NPs from industrial applications to wastewater treatment and its impacts on the agro-environment. Key elements of the review present the recent developments of TiO2 NPs in two main sectors including wastewater treatment and the agro-environment along with their potential exposure pathways. Furthermore, the direct exposure routes of these NPs from production to end-user consumption until their end phase needs to be studied in detail and optimization of their suitable applications and controlled use to ensure environmental safety.


2000 ◽  
Vol 21 (1) ◽  
pp. 87-92 ◽  
Author(s):  
Roger W.L. Godschalk ◽  
Edwin J.C. Moonen ◽  
Pauline A.E.L. Schilderman ◽  
Wendy M.R. Broekmans ◽  
Jos C.S. Kleinjans ◽  
...  

2020 ◽  
Vol 7 (12) ◽  
pp. 3849-3868
Author(s):  
Patrícia V. Silva ◽  
Cornelis A. M. van Gestel ◽  
Rudo A. Verweij ◽  
Anastasios G. Papadiamantis ◽  
Sandra F. Gonçalves ◽  
...  

Nanoparticle characteristics and exposure route greatly influence the toxicokinetics of pristine and (simulated) aged silver nanoparticles in Physa acuta.


2019 ◽  
Vol 76 (4) ◽  
pp. 1443-1447
Author(s):  
Sharyn Gaskin ◽  
Leigh Thredgold ◽  
Dino Pisaniello ◽  
Michael Logan ◽  
Christina Baxter
Keyword(s):  

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