Geodiversity is the variety within abiotic natural elements that include: rocks, minerals, landforms, soil types, and water resources. Recently ecologists and naturalists recognized that there is close relationship between geodiversity and ecosystems. Huwaiza marsh is located south eastern Iraq within Lower Mesopotamian plain. The main rock bed units which crop out north east of the studied area comprises many types of rocks: conglomerate, sandstone, mudstone, siltstone and claystone belong to Bai Hassan, Mukdadiya and Injana Formations. The general elevation of the area ranges around 5 meters (a. s. l.) near the marsh and increase northeast to more than 100 meters (a. s. l.) and the Land forms are: cuesta, oxbow lakes, flood plain, water lake, shallow marshes, mud flats, and sand dunes. Soil (sediments) usually derived from north east rock bed units and from rivers, which are composed of gravel, sand, silt and silty clay. Huwaiza Marsh is provided by water resources from Musharah and Kahlaa distributaries in addition to Al- Teeb and Duwaireeg rivers which enter Al- Sanaf seasonal marsh, then after to Huwaiza Marsh. The later has 1377 km2 during rainy season and 650 km2 during dry season. Geodiversity created diverse ecosystems such as: desert (including sand dune), salt flat (sabkha), mud flats and aqueous ecosystem that provided good flora and fauna diversity of which wide range of plant and animal species use the area. Such geodiversity formed the foundation in creation three main terrestrial ecoregions in this area of Iraq. Huwaiza marsh and adjacent area can be used for scientific researches, education, traditional agricultural, ecotourism and for other sustainable developments. Vertebrate biodiversity comprises 27 mammals, 81 birds, 6 reptiles, 3 amphibians, and 9 freshwater fishes. The characteristic vertebrates of each habitat of Huwaiza marsh were indicated. Of interest among them is the presence of African Darter Anhinga rufa in Deep-water marsh habitat; Basra Reed Warbler Acrocephalus griseldis, Goliath heron Ardea goliath, and smooth coated otter Lutrogale perspicillata maxwelli in shallow water marsh habitat.
We aimed to obtain magnesium/iron (Mg/Fe)-layered double hydroxides (LDHs) nanoparticles-immobilized on waste foundry sand-a byproduct of the metal casting industry. XRD and FT-IR tests were applied to characterize the prepared sorbent. The results revealed that a new peak reflected LDHs nanoparticles. In addition, SEM-EDS mapping confirmed that the coating process was appropriate. Sorption tests for the interaction of this sorbent with an aqueous solution contaminated with Congo red dye revealed the efficacy of this material where the maximum adsorption capacity reached approximately 9127.08 mg/g. The pseudo-first-order and pseudo-second-order kinetic models helped to describe the sorption measure
Objective This research investigates Breast Cancer real data for Iraqi women, these data are acquired manually from several Iraqi Hospitals of early detection for Breast Cancer. Data mining techniques are used to discover the hidden knowledge, unexpected patterns, and new rules from the dataset, which implies a large number of attributes. Methods Data mining techniques manipulate the redundant or simply irrelevant attributes to discover interesting patterns. However, the dataset is processed via Weka (The Waikato Environment for Knowledge Analysis) platform. The OneR technique is used as a machine learning classifier to evaluate the attribute worthy according to the class value. Results The evaluation is performed using
... Show MoreThe current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,
... Show MoreThis study shows that it is possible to fabricate and characterize green bimetallic nanoparticles using eco-friendly reduction and a capping agent, which is then used for removing the orange G dye (OG) from an aqueous solution. Characterization techniques such as scanning electron microscopy (SEM), Energy Dispersive Spectroscopy (EDAX), X-Ray diffraction (XRD), and Brunauer-Emmett-Teller (BET) were applied on the resultant bimetallic nanoparticles to ensure the size, and surface area of particles nanoparticles. The results found that the removal efficiency of OG depends on the G‑Fe/Cu‑NPs concentration (0.5-2.0 g.L-1), initial pH (2‑9), OG concentration (10-50 mg.L-1), and temperature (30-50 °C). The batch experiments showed
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