Al-Huweizah Marsh is considered as the largest in Iraq. This research aims to maintain thesustainability of Al-Huweizah Marsh under all circumstances and within the limits of the
available natural resources from the Iraqi side and the absence of feeding from the Iranian sidedue to the recent Iranian separation dike along the international boundaries within the marsh.
Twelve scenarios have been suggested as a first step to restore the whole marsh. But the
uncontrolled Iranian feeders and exiguity of their discharges recently, it was necessary to studyonly the northern part of the marsh as an alternative case to ensure reasonable amounts of waterfor the purpose of maintaining and restore the marsh. Hydrological routing model was used to
calculate the quantities required to restore the whole marsh, as well as the northern part. In thisresearch, the total dissolved solid (TDS) was adopted as the water quality parameter considering,three concentrations of TDS (1500, 1750, and 2000ppm). A two-dimensional flow mathematicalsimulation model was prepared using the SMS package (surface water modeling system) whereRMA-2 and RMA-4 software’s are used to study the flow and water quality patterns,
respectively. In order to improve the water quality in the marsh according to the acceptable waterquality determinants and the current conditions, we studied diverting some of Tigris River water,which is one of Shatt-Al-Arab feeders, into the marsh and releasing this amount into Tigris Riverthrough Al-Kassara control structure into Shatt-Al-Arab. A significant water qualityimprovement in the marsh was noticed as a result of mixing 25% or 50% of the Tigris Riverwater which is suppose to go to Shatt Al-Arab. According to the results of this study, it was
found that the restoration of the whole marsh cannot be achieved under the current circumstancesbecause of the limited water discharges from Iraqi feeders of the marsh and receding of feeding
from Iranian side. The best scenario was that of 3650million cubic meters/year for an area338km
2
and water surface elevation of 3m.a.m.s.l. The results also show that Al-Kassara controlstructure is unable to pass the required outflow at low level to improve water quality according
to the required standard determinants.
The intelligent buildings provided various incentives to get highly inefficient energy-saving caused by the non-stationary building environments. In the presence of such dynamic excitation with higher levels of nonlinearity and coupling effect of temperature and humidity, the HVAC system transitions from underdamped to overdamped indoor conditions. This led to the promotion of highly inefficient energy use and fluctuating indoor thermal comfort. To address these concerns, this study develops a novel framework based on deep clustering of lagrangian trajectories for multi-task learning (DCLTML) and adding a pre-cooling coil in the air handling unit (AHU) to alleviate a coupling issue. The proposed DCLTML exhibits great overall control and is
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Background: Diabetes and periodontitis are considered as chronic diseases with a bidirectional relationship between them. This study aimed to determine and compare the severity of periodontal health status and salivary parameters in diabetic and non-diabetic patients with chronic periodontitis. Materials and Methods: Seventy participants were enrolled in this study. The subjects were divided into three groups: Group I: 25 patients had type 2 diabetes mellitus with chronic periodontitis, Group 2: 25 patients had chronic periodontitis and with no history of any systemic diseases, Group 3: 20 subjects had healthy periodontium and were systemically healthy. Unstimulated whole saliva was collected for measurement of salivary flow rate and pH.
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Artificial intelligence has quickly invaded the realms of both creative and information-based writing, raising new questions about human originality, authorship and style. Despite its ability to produce writings that are coherent and stylistically varied, there are still concerns over the uniqueness and cultural neutrality of AI programs such as ChatGPT. This review covers significant recent advancements with artificial intelligence applications in both the literary and non-literary fields. It analyzes 35 recent studies contrasting authorship and creativity, or stylistic considerations and impressions, between human and AI texts. These studies range from poetic and fictional writing through essay, news article and academic publicati
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