Depp and Heard's trial has reaped significant attention due to the domestic violence allegations directed towards each other. This paper sheds light on the repressed narrative beyond the mere words spoken aloud. It delves into an overlooked aspect, i.e., nonverbal communication. Previous studies focused on one or two categories of nonverbal communication. Therefore, the current study investigates the types and sub-types of nonverbal communication exhibited by both rivals within the courtroom setting. To examine the credibility and repressibility of nonverbal communication, the researchers have carefully watched (28) videos representing the whole trial's event. Some nonverbal communication was traced through the whole (28) videos from which (10) screenshots were purposely selected to represent nonverbal communication. In some cases, the researchers had to attract the reader's attention to the verbal communication to provide the context in which the nonverbal communication was analyzed. To achieve the aims of the study, the researchers rely on Grice's Maxims (1975) and Leonard's (2012) model of nonverbal communication, which consists of six categories with their subcategories. The results show that Depp utilized various types of nonverbal communication while Heard overused lip pressing and head movements. Depp also adhered to most of Grice's maxims, while Heard violated some. In some situations, the nonverbal communication was interpreted. In other situations, the nonverbal communication was supported or contradicted by verbal communication. Nonverbal communication cannot be controlled. If the communicator controls one or two types of nonverbal communication, it will either sound exaggerated or reveal the real intention.
Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne
... Show MoreThis experiment presented essential oils by GC/MS, pigment content, and their antioxidant activities as well as sensory evaluation of delight samples. Limonene (66.88%) was the most prevalent yield. The peels of clementine had DPPH and ABT Scavenging activity. All levels of pigment extract had better scores for all sensory values and recorded acceptable scores in terms of appearance, color, aroma, and overall acceptability compared to control delight. Besides, delight samples containing 15 mg astaxanthin pigment extract showed maximum sensory scores compared to other samples and control delight. On the other hand, the product was less acceptable to the panelists compared to control in the case of the addition of 3.75 mg astaxanthin pigme
... Show MoreA faunistic review of the genus Chaitophorus Koch, 1854, including four species in Iraq is given; the distribution data of each species and their hosts have been recorded. In this investigation the poplar leaf aphid Ch. populialbae (Boyer de Fonscolombe, 1841) is recorded here for the first time in Iraq on popular trees Populus euphratica Oliv. during the period from November 2016 to April 2017 in Baghdad province.
A brief description for apterous viviparous female of this species is given; and a key to the species of the genus Chaitophorus is constricted.
Al-Naymi, N.A.Sh., H.A.S. AL-Nuaimi and M.R. Nashaat. 2022. Toxicity Stress of the Durah Power Plant Ash and its Effect on the Alga Chlorococcum humicola (Naeg) Rabenhorst 1868. Arab Journal of Plant Protection, 40(2): 188-192. https://doi.org/10.22268/AJPP-040.2.188192 This study illustrates the acute toxic effect of ash released from Durah power plant (DPP) on the biology of the phytoplankton species Chlorococcum humicola in Iraq. The results showed that the median lethal concentration for killing 50% of the Alga population (LC50) was 0.15 and 0.13 ppt (parts per thousand) for 24 and 48 hours exposure to crude ash concentrations, respectively. In contrast, no LC50 value was recorded for 72 and 96 hrs after exposure. The reduction
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