COVID-19 comes from a large family of viruses identi ed in 1965; to date, seven groups have been recorded which have been found to affect humans. In the healthcare industry, there is much evidence that Al or machine learning algorithms can provide effective models that solve problems in order to predict con rmed cases, recovered cases, and deaths. Many researchers and scientists in the eld of machine learning are also involved in solving this dilemma, seeking to understand the patterns and characteristics of virus attacks, so scientists may make the right decisions and take speci c actions. Furthermore, many models have been considered to predict the Coronavirus outbreak, such as the retro prediction model, pandemic Kaplan's model, and the neural forecasting model. Other research has used the time series-dependent face book prophet model for COVID-19 prediction in India's various countries. Thus, we proposed a prediction and analysis model to predict COVID-19 in Saudi Arabia. The time series dependent face book prophet model is used to t the data and provide future predictions. This study aimed to determine the pandemic prediction of COVID-19 in Saudi Arabia, using the Time Series Analysis to observe and predict the coronavirus pandemic's spread daily or weekly. We found that the proposed model has a low ability to forecast the recovered cases of the COVID-19 dataset. In contrast, the proposed model of death cases has a high ability to forecast the COVID-19 dataset. Finally, obtaining more data could empower the model for further validation.

<span> With the tremendous technological progress and the widespread use of a variety of technologies, we note how smart cities are providing services efficiently by using technologies. The aim of this project is to build a Smart Traffic Control System (STCS) to facilitate and optimize traffic flow, minimize traffic congestion, and reduce the waiting time by detecting the density on each street. This work has been carried on four phases. Firstly, collecting data by a questionnaire and we received 331 responses. Secondly, using Proteus simulation. Thirdly, building a low fidelity prototype, and fourthly: building the STCS model by using hardware (Arduino tools) and software (Arduino Software IDE). Finally, we learned how to build a system and we recommend using such a system in busy roads to reduced congestion and making traffic flow more efficient.</span>

Periodontal diseases refer to the diseases of gums or bone resulting in inflammation and loss of teeth. The disease affects adults more commonly, but children are also at risk of development of disease. Both modifiable and nonmodifiable risk factors play a vital role in progression of disease. Risk assessment is of utmost importance in periodontics as it contributes to early prevention and management of the disease thus decreasing rate of progression and associated complication. For the purpose of risk assessment various assessment tools are available that are routinely used by dental practitioners. The aim of this research is to review the available information regarding the assessment tools used in periodontics. American academy of periodontology self-assessment tool, oral health information suite, periodontal risk assessment hexagonal diagram, periodontal risk assessment model by Chandra, are some risk assessment tools used by dentists. Almost 20% of patient population who require treatment to prevent or slow the course of severe periodontal disease can be identified by utilization of a risk assessment questionnaire. The risk assessment findings can aid in clinical diagnosis and designing of an effective treatment strategy which can enhance the quality of dental care for patients. Well-established theoretical literature is present regarding these assessment tools but data about their clinical use and patient outcome is very limited. In future more clinical research is needed regarding the use of assessment tools in periodontics as they are quite important due to their role in early identification and intervention and also in predicting future outcome.a

Explicit pronunciation instruction has been shown to be effective in improving language learners’ pronunciation, yet it is not clear whether the same can be said about implicit pronunciation instruction. In addition, the role of orthography in improving language learners’ pronunciation is yet to be fully understood. Thus, this research examined the contribution of extensive listening combined with orthography to the improvement of language learners’ pronunciation. Ninety Saudi learners of English were randomly allocated to three groups and offered different types of instructions: (A) extensive listening only; (B) extensive listening with orthography; and (C) a control group. Similar utterances were collected from the three groups before and after the instructions. The utterances were then presented randomly to a group of native English listeners for global foreign accent rating. Small, though non-significant, improvement was observed for both experimental groups. This may be attributed to the relatively short duration of exposing the learners to the aural input. Semi-structed interviews, with a sample of the learners from the experimental groups, showed that they had positive opinions regarding extensive listening with orthography for the improvement of their pronunciation. Further research may use longer period to examine whether extensive listening along with orthography can result in significant improvement of language learners’ pronunciation.

Pericoronitis is the medical term for an oral inflammatory condition brought on by an infection of the soft tissues in proximity to the crown of an immature tooth, including gingiva and dental follicle. It is believed that microbial entry into the follicular area begins the infection once the tooth's follicle establishes contact with the oral cavity. Pericoronitis's microbiota primarily consists of anaerobes. It is commonly accepted that the build-up of food particles close to the opercula and the occlusal injuries caused by the opposing tooth to the tissues present pericoronally both accelerate this process. Third molars that are oriented vertically are more frequently affected by pericoronitis than those that are oriented horizontally, which had a lower incidence of the condition. Pericoronitis may be more likely to develop in patients with impaired immune systems, such as those with uncontrolled diabetes or immunodeficiency diseases. Patients with acute pericoronitis exhibit regional erythema, edema, purulence, and intense throbbing pain radiating to the ear, throat, floor of the mouth, temporomandibular joint, and posterior submandibular region during intraoral physical examination. Advanced cases including those developing into cellulitis, Ludwig's angina and peritonsillar abscesses may necessitate immediate attention including surgical intervention. It is advised to utilize only localized treatment measures for patients with localized pain and edema involving the pericoronal tissues and are free of local or systemic symptoms. Antimicrobial therapy is advised if the patient is displaying regional or systemic manifestations in as well as local pain and edema. Surgery is advised only when there have been two or more incidences of pericoronitis or other pathological conditions which maybe potentially be complicated by the presence of partially erupted tooth.

Halogenoderma (HD) is an uncommon dermatosis that develops following exposure to halogens such as iodide and bromide, referred to as iododerma and bromoderma, respectively. Here, we report the case of a 40-year-old male who presented with a three-week history of slightly itchy progressive skin lesions associated with low-grade fever and malaise. The patient had a history of using food supplements containing iodide and bromide for four months prior to the appearance of skin rashes. Skin examination revealed multiple crusted papules and nodules scattered on his face, neck, and trunk. A skin biopsy was taken from the lesions. The epidermis showed crustation, exocytosis of neutrophils, and multiple intraepidermal abscesses. The dermis showed heavy cellular infiltrates composed mainly of neutrophils. The skin lesions disappeared completely after the cessation of food supplements, along with the use of topical corticosteroids for a few weeks.

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