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A REVIEW OF ANALYTICAL METHODS FOR THE ANALYSIS OF PHARMACEUTICALS IN ENVIRONMENTAL SAMPLES
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One of the main causes for concern is the widespread presence of pharmaceuticals in the environment, which may be harmful to living things. They are often referred to as emerging chemical pollutants in water bodies because they are either still unregulated or undergoing regulation. Pharmaceutical pollution of the environment may have detrimental effects on ecosystem viability, human health, and water quality. In this study, the amount of remaining pharmaceutical compounds in environmental waters was determined using a straightforward review. Pharmaceutical production and consumption have increased due to medical advancements, leading to concerns about their environmental impact and potential harm to living things due to their increasing presence. Many nations now acknowledge that pharmaceutical pollution of the aquatic environment poses a threat to the environment. It is quite possible that some endocrine active drugs have effects at extremely low environmental concentrations because they exhibit very high biological potencies even at Wg/day doses. Sample preparation requires a number of procedures, including the filtration and extraction of pharmaceutical environmental waters, ND IT IS is a crucial step in environmental analysis. Pre-concentrate is used to prevent extraction inefficiencies caused by suspended solids. Several analytical techniques, such as hyphenated mass spectrometry and chromatography, have been used for the identification and determination of pharmaceuticals in environmental waters. For citation: Jasim M. S. Jamur A review of analytical methods for the analysis of pharmaceuticals in environmental samples. ChemChemTech [Izv. Vyssh. Uchebn. Zaved. Khim. Khim. Tekhnol.]. 2025. V. 68. N 4. P. 20-24. DOI: 10.6060/ivkkt.20256804.7151.

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Publication Date
Tue Oct 01 2024
Journal Name
Journal Of Physics: Conference Series
A comparative Analytical Investigation of Different Geomagnetic Storms During Solar Cycles 23 and 24
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Abstract<p>In this work, the geomagnetic storms that occurred during solar cycles 23 and 24 were classified based on the value of the Disturbance Storm Time index (Dst), which was considered an indicator of the strength of geomagnetic conditions. The special criterion of Dst >-50 nT was adopted in the classification process of the geomagnetic storms based on the minimum daily value of the Dst-index. The number of geomagnetic storms that occurred during the study period was counted according to the adopted criteria, including moderate storms with (Dst >-50 nT), strong storms with (Dst >-100 nT), severe storms with (Dst >-200 nT), and great storms with (Dst >-350 nT). The statistica</p> ... Show More
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Publication Date
Thu Sep 01 2022
Journal Name
Iraqi Journal Of Physics
X-Ray Emission Spectroscopy Analysis for Near-Asteroid Belt of Atmospheric of the Comets
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         According to Chandra Survey Observatory Near-Asteroid Belt Comets, the solar wind's contact with the comet produces a variety of spectral characteristics. The study of X-ray spectra produced by charge exchange is presented here. The spectrum of a comet can reveal a lot about its composition. This study has concentrated on the elemental abundance in six different comets, including 17P/Holmes, C/1999T1, C/2013A1, 9p/Temple1, and 103p/Hartley2 (NEAT). Numerous aspects of the comet's dynamics allow it to behave in a unique manner as it gets closer to the Near-Asteroid Belt. These characteristics are being examined, and some studies are still ongoing. The computations allow us to observe, for instance, how the composition of

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Publication Date
Tue Aug 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Effective administrative leadership in the implementation of public policies: Analytical look at the Baghdad Provincial Council
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Abstract

      The current research aims to find out the role of administrative leadership in the implementation of public policies and their effectiveness and their ability to do so, As well as analysis and testing of influence and correlations between research variables, The researcher has the descriptive and analytical approach, And several tools used to gather information consisted of personal interviews and field visits, While distributed questionnaire tool that consists of (35) items on a sample consisting of (147) individuals formed of staff of the Baghdad Provincial Council.

The research was based on a set of assum

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Publication Date
Thu Feb 08 2024
Journal Name
Engineering, Technology &amp; Applied Science Research
Applying the Analytical Hierarchy Process to Identify the Challenges and Priorities of Reconstruction Projects in Iraq
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Reconstruction project management in the cities of Mosul, Anbar, and Tikrit, in Iraq still faces major obstacles that impede the comprehensive performance of these projects. It is thus necessary to improve the arising challenge estimation in the implementation of reconstruction projects and evaluate their components: time, cost, quality, and scope. This study used the Analytical Hierarchy Process (AHP) to prioritize major and minor criteria in the influential causes of challenges and formulate a mathematical model to help decision-makers estimate them. Using the Super Decisions software, the final results indicated that changes in scope reached 40.8%, which is the greatest difficulty, followed by changes in cost at 27.6%, changes in

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Publication Date
Thu Jan 01 2026
Journal Name
Egyptian Journal Of Aquatic Biology And Fisheries
Study of the Effect of Redbelly Tilapia (Coptodon zillii (Gervais, 1848)) (Cichliformes: Cichlidae) on the Sustainability of the Iraqi Aquatic Environment: A Review
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This research reviews studies that identify the habitats of the redbelly tilapia, Coptodon zillii, in Iraq, the environmental conditions favorable to this species distribution and proliferation, as well as its economic and social significance as a food source. Additonally, the study examines its effects on biodiversity through competition with native fish species for resources, as well as its role as reservoirs of pathogens, its adverse effect on human health due to the tendency to retain oil crude inside the tissues, and its impact on environmental and water quality by increasing water turbidity. Finally, the review exhibits recommendations for strategies to mitigate its detrimental effects on biodiversity as well as environment.

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Publication Date
Tue Dec 01 2020
Journal Name
Journal Of Economics And Administrative Sciences
The impact of strategic leadership skills on effective environmental management according to the (VUCA Prime) model
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Purpose: clarify the integrative relationship of strategic leadership skills and effective management and the role of those skills combined or individually in achieving effective management.

Research design: The researchers used the quantitative method by surveying a class sample from the heads of the executive departments in a group of Iraqi private banks, consisting of (106) individuals according to the (VUCA Prime) methodology for effective management and the ten skills model for Johansen. The questionnaire was analyzed using a model of the structural equation.

Findings: The most prominent results of the research were the presence of a weak ro

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Publication Date
Wed Dec 06 2017
Journal Name
International Journal Of Science And Research (ijsr)
The Conceptual Mathematical Knowledge and Analytical Thinking for the First Stage Students at Math Sciences Department, Faculty of Education for Pure Sciences, IBN Alhaithem, University of Baghdad
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Publication Date
Thu Feb 28 2019
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
Using the Financial Analysis of Financial Information Published in the financial Statements for Predicting Stocks returns of Services and Insurance Sectors
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The aim of this study was to identify the rate of return of the stock through the financial information disclosed by the financial statements of companies both services and insurance included in Iraqi market for securities . The study used a descriptive statistical methods and the correlation matrix for the independent factors , in addition to a regression model for data  analysis and hypothesis . Model included a number of independent variables , which was measured in the size of company (sales or revenue) , and the leverage , in addition to the structure of assets and the book value of owners'  equity in the company , as well as the general price index .Based on the data of (11)companies and for three years, showed the result

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Publication Date
Mon Mar 17 2025
Journal Name
Medicine Advances
Alone in the Mind: Review of Research Examining the Link Between Loneliness and Dementia
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This narrative review focused on research investigating the impact of loneliness on the prevalence of dementia and its relationship with other risk factors. A comprehensive and rigorous search was conducted using a variety of scientific databases with specific keywords to identify all prior studies that examined the correlation between dementia and loneliness. The inquiry was confined to articles published in English from January 2017 to March 2024. The narrative review identified a consensus regarding the role of loneliness in enhancing the risk of all‐cause dementia, with a particular emphasis on the subjective perception of loneliness. This phenomenon may be caused by the sensations of exclusion, discrimination, and alienation that are

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Publication Date
Fri Mar 01 2024
Journal Name
Baghdad Science Journal
Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature Review
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Thyroid disease is a common disease affecting millions worldwide. Early diagnosis and treatment of thyroid disease can help prevent more serious complications and improve long-term health outcomes. However, thyroid disease diagnosis can be challenging due to its variable symptoms and limited diagnostic tests. By processing enormous amounts of data and seeing trends that may not be immediately evident to human doctors, Machine Learning (ML) algorithms may be capable of increasing the accuracy with which thyroid disease is diagnosed. This study seeks to discover the most recent ML-based and data-driven developments and strategies for diagnosing thyroid disease while considering the challenges associated with imbalanced data in thyroid dise

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