Addressed the problem of the research is marked: (Performing processors for the time between Impressionism and superrealism) the concept of time and how to submit artwork. The search came in four sections: general framework for research and identified the research problem and the need for him. With an indication of the importance of his presence. Then determine the research objectives of (detection processors performing to the concept of time in works of art in each of Impressionism and superrealism. And a comparison between them to reveal similarities and differences), followed by the establishment of boundaries Find three (objectivity, the temporal and spatial) were then determine the terms related to the title. Then provide the theore

     In this study, oxidative desulfurization of dibenzothiophene (DBT) with H2O2 as an oxidant was studied, whereas the catalyst used was zirconium oxide supported on Activated carbon (AC). Zirconium oxide (ZrO2) was impregnated over prepared activated carbon (AC) and characterized by various techniques such as XRD, FTIR, BET, SEM, and EDX. This composite was used as a heterogeneous catalyst for oxidation desulfurization of simulated oil. The results of this study showed that ZrO2/AC composite exhibited significant catalytic activity and stability, effectively lowering sulfur content under mild conditions. Factors such as reaction temperature (30, 40, 50, 60°C), time (5, 10, 15,20,30,60, 80 100 min), catalyst dose (0.3, 0.5,

Software Defined Networking (SDN) with centralized control provides a global view and achieves efficient network resources management. However, using centralized controllers has several limitations related to scalability and performance, especially with the exponential growth of 5G communication. This paper proposes a novel traffic scheduling algorithm to avoid congestion in the control plane. The Packet-In messages received from different 5G devices are classified into two classes: critical and non-critical 5G communication by adopting Dual-Spike Neural Networks (DSNN) classifier and implementing it on a Virtualized Network Function (VNF). Dual spikes identify each class to increase the reliability of the classification

  This research aims to realize one of the pillars of Saudi vision (2030) through searching for new sources full of material folklore that had not previously been studied, so this study will study folk motifs engraved on the doors and windows in the Bani Amru Center in the Al-Namas governorate that is situated in the Asir region , in particular the tribe (Bani Rafe), before being disappeared due to the abandonment of the old architecture by the people of the region and their fascination with modern architecture, therefore I must as one of the people of the region document and preserve that through studying, analyzing, classifying it, then inspiring typed paintings using a new technical typing that have not yet been used in the Kingd

Background: Oral lichen planus is one of the most common dermatological diseases presenting in the oral cavity. Hence, viral infection of the oral mucosa may be involved in the pathogenesis of oral lichen planus, Taking in to consideration the oncogenic potential of HSV-1, this study aimed to assess the presence of Herpes Simplex Virus type one by direct immunoflourescent in oral lichen planus. This study aimed to assess the presence of HSV type1 by direct immunofluorescent in histopathologically diagnosed OLP Material and Method: Twenty formalin fixed embedded tissue blocks of oral lichen planus with 2 Positive control cases were taken from patients having infection with herpes labialis, US Biological herpes simplex virus-1 Glycoprotein

These dust designed to identify the extent of the impact of alcohol Almstkhalss saponin from fenugreek seeds on fertility in male mice eggs by tracking some physiological changes and tela that may occur to some members of the device Altcatherthe

zine level in serum was mesured from patients suffering ftom cancer and healthy indiciduals hindred from each individuals were classified into three according to thier age the groups were

Ground-based active optical sensors (GBAOS) have been successfully used in agriculture to predict crop yield potential (YP) early in the season and to improvise N rates for optimal crop yield. However, the models were found weak or inconsistent due to environmental variation especially rainfall. The objectives of the study were to evaluate if GBAOS could predict YP across multiple locations, soil types, cultivation systems, and rainfall differences. This study was carried from 2011 to 2013 on corn (Zea mays L.) in North Dakota, and in 2017 in potatoes in Maine. Six N rates were used on 50 sites in North Dakota and 12 N rates on two sites, one dryland and one irrigated, in Maine. Two active GBAOS used for this study were GreenSeeker and Holl