Evaluation of the microbial content and heavy metals of different types of fish supplied from Basra Governorate that are available in the local markets in the city of Baghdad

2020 ◽  
Vol 23 (10) ◽  
Author(s):  
Dr. Hamdia, M. S. Al-Hamdani ◽  
Dr. Aliaa, S. A. Al-Fraji ◽  
Sudad J. M
Keyword(s):  
Heavy Metals ◽  
Local Markets ◽  
Different Types ◽  
The City

Isolation and Diagnosis of Fungi from Samples of Spices in the City of Nasiriya

2020 ◽  
pp. 7-9
Keyword(s):  
Chronic Diseases ◽  
Dilution Method ◽  
Local Markets ◽  
White Pepper ◽  
Black And White ◽  
Different Types ◽  
Potential Risks ◽  
The City ◽  
Isolated Species

Examination of (35) samples of spices obtained from local markets for the purposes of isolating and diagnosing fungi growing on them. Anine isolates belonging to 13 different types of fungi were diagnosed by the standard dilution method with three replications, and it has been observed that the most samples from which the fungi were isolated is ginger. It was found that the most isolated species of fungi are Penicillium, Aspergillus, and Rizupes spp. A rare colony of fungi was observed, which indicates contamination of the spices under study with the fungus. The present study aims to identify the potential risks of the presence of fungi in spices and what may result from mycotoxins that may be the cause of many chronic diseases as a result of using these spices in large quantities. The study recommends limiting the use of contaminated spices, especially ginger, in preparing food and its uses, in addition to other types such as cloves, black and white pepper, and other types of spices found in the local markets, especially the expired ones.

Levels of Radon in Different Types of Juices Are Different In Origin Consumed and Effective on Human Health in the City of Hilla-Babel-Iraq

2019 ◽  
Vol 50 (3) ◽  
pp. 105-110
Author(s):  
LAKEN H.A. ◽  
AHMED. Y. ALI ◽  
INAAM H. KADHIM ◽  
MOHAMMED R. KAHLIL ◽  
NASIR HUSSAIN
Keyword(s):  
Human Health ◽  
Different Types ◽  
The City

The impact of urban effluents on the coastal marine environment of Mediterranean islands

1995 ◽  
Vol 32 (9-10) ◽  
pp. 85-94 ◽  
Author(s):  
Michael O. Angelidis
Keyword(s):  
Heavy Metals ◽  
Organic Matter ◽  
Marine Environment ◽  
Suspended Particle ◽  
Pollution Source ◽  
Mediterranean Islands ◽  
Coastal Marine Environment ◽  
Coastal Marine ◽  
The Impact ◽  
The City

The impact of the urban effluents of Mytilene (Lesvos island, Greece) on the receiving coastal marine environment, was evaluated by studying the quality of the city effluents (BOD5, COD, SS, heavy metals) and the marine sediments (grain size, organic matter, heavy metals). It was found that the urban effluents of Mytilene contain high organic matter and suspended particle load because of septage discharge into the sewerage network. Furthermore, although the city does not host important industrial activity, its effluents contain appreciable metal load, which is mainly associated with the particulate phase. The city effluents are discharged into the coastal marine environment and their colloidal and particulate matter after flocculation settles to the bottom, where is incorporated into the sediments. Over the years, the accumulation of organic matter and metals into the harbour mud has created a non-point pollution source in the relatively non-polluted coastal marine environment of the island. Copper and Zn were the metals which presented the higher enrichment in the sediments of the inner harbour of Mytilene.

Narratives of Queer Migration

2020 ◽  
Author(s):  
John Gray ◽  
Mike Baynham
Keyword(s):  
The European Union ◽  
Spatial Mobility ◽  
Class Politics ◽  
Depth Migration ◽  
Different Types ◽  
Global North ◽  
Economic Necessity ◽  
The Village ◽  
The City

This chapter considers the phenomenon of queer migration from a linguistic perspective, paying particular attention to the constitutive role of spatial mobility in narrative and its role in the construction of queer migrant identities. The chapter begins by looking at the way in which queer migration has been discussed in the literature and then moves on to address three different types of queer migration in greater depth: migration within national borders from the village/countryside to the city; migration between cities in member states within the context of the European Union; and finally, asylum-seeking within the context of migration from the Global South to the Global North. The chapter concludes by suggesting that queer migration is a complex phenomenon in which the intersection of sexuality, gender identity, desire, affect, abjection, economic necessity, class, politics, and fear for one’s life combine in ways that are unique in the lives of individual migrants.

scholarly journals Geochemical Mapping, Risk Assessment, and Source Identification of Heavy Metals in Road Dust Using Positive Matrix Factorization (PMF)

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 614
Author(s):  
Muhammad Faisal ◽  
Zening Wu ◽  
Huiliang Wang ◽  
Zafar Hussain ◽  
Chenyang Shen
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Matrix Factorization ◽  
Anthropogenic Activities ◽  
Contamination Factor ◽  
Road Dust ◽  
Positive Matrix Factorization ◽  
Prevention Measures ◽  
Positive Matrix ◽  
The City

Heavy metals in road dust pose a significant threat to human health. This study investigated the concentrations, patterns, and sources of eight hazardous heavy metals (Cr, Ni, Cu, Zn, As, Cd, Pb, and Hg) in the street dust of Zhengzhou city of PR China. Fifty-eight samples of road dust were analyzed based on three methods of risk assessment, i.e., Geo-Accumulation Index (Igeo), Potential Ecological Risk Assessment (RI), and Nemerow Synthetic Pollution Index (PIN). The results exhibited higher concentrations of Hg and Cd 14 and 7 times higher than their background values, respectively. Igeo showed the risks of contamination in a range of unpolluted (Cr, Ni) to strongly polluted (Hg and Cd) categories. RI came up with the contamination ranges from low (Cr, Ni, Cu, Zn, As, and Pb) to extreme (Cd and Hg) risk of contamination. The risk of contamination based on PIN was from safe (Cu, As, and Pb) to seriously high (Cd and Hg). The results yielded by PIN indicated the extreme risk of Cd and Hg in the city. Positive Matrix Factorization was used to identify the sources of contamination. Factor 1 (vehicular exhaust), Factor 2 (coal combustion), Factor 3 (metal industry), and Factor 4 (anthropogenic activities), respectively, contributed 14.63%, 35.34%, 36.14%, and 13.87% of total heavy metal pollution. Metal’s presence in the dust is a direct health risk for humans and warrants immediate and effective pollution control and prevention measures in the city.

scholarly journals Accessible Routes Integrating Data from Multiple Sources

2020 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Miguel R. Luaces ◽  
Jesús A. Fisteus ◽  
Luis Sánchez-Fernández ◽  
Mario Munoz-Organero ◽  
Jesús Balado ◽  
...  
Keyword(s):  
Information System ◽  
Data Model ◽  
Large Scale ◽  
Heterogeneous Data ◽  
Multiple Sources ◽  
Heterogeneous Data Sources ◽  
Different Types ◽  
Software Sensors ◽  
The City

Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain).

scholarly journals Evaluation of mycotoxins and heavy metals pollution in some types of noodles in local markets

2021 ◽  
Vol 1879 (2) ◽  
pp. 022006
Author(s):  
Jameel Mohammed Mohammed ◽  
Marwa Ibrahem Abd ◽  
Saif Ali Khishan
Keyword(s):  
Heavy Metals ◽  
Local Markets ◽  
Metals Pollution ◽  
Heavy Metals Pollution

scholarly journals A yeast metabolome-based model for an ecotoxicological approach in the management of lignocellulosic ethanol stillage

2019 ◽  
Vol 6 (1) ◽  
pp. 180718 ◽  
Author(s):  
Luca Roscini ◽  
Lorenzo Favaro ◽  
Laura Corte ◽  
Lorenzo Cagnin ◽  
Claudia Colabella ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Saccharomyces Cerevisiae ◽  
Predictive Model ◽  
Lignocellulosic Ethanol ◽  
Bioethanol Production ◽  
Inhibitor Concentration ◽  
Promising Tool ◽  
Different Types ◽  
The Relationship ◽  
Ecotoxicological Bioassay

Lignocellulosic bioethanol production results in huge amounts of stillage, a potentially polluting by-product. Stillage, rich in heavy metals and, mainly, inhibitors, requires specific toxicity studies to be adequately managed. To this purpose, we applied an FTIR ecotoxicological bioassay to evaluate the toxicity of lignocellulosic stillage. Two weak acids and furans, most frequently found in lignocellulosic stillage, have been tested in different mixtures against three Saccharomyces cerevisiae strains. The metabolomic reaction of the test microbes and the mortality induced at various levels of inhibitor concentration showed that the strains are representative of three different types of response. Furthermore, the relationship between concentrations and FTIR synthetic stress indexes has been studied, with the aim of defining a model able to predict the concentrations of inhibitors in stillage, resulting in an optimized predictive model for all the strains. This approach represents a promising tool to support the ecotoxicological management of lignocellulosic stillage.

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