BACKGROUND: Individuals might suffer emotional, psychological, and even bodily challenges as a result of any pandemic. The impact of the COVID-19 outbreak on Saudi Arabian University students and faculty members has received little attention. OBJECTIVE: To assess stress during the COVID-19 pandemic among university college students and faculty members of Jouf University, KSA and evaluate the impact of socio- demographic factors on anxiety and depression levels. METHODS: Two hundred and seventeen participants from Jouf University completed an anonymous web-based survey that includes questionnaires about anxiety and depression symptoms. Beck’s anxiety inventory (BAI) was used to assess the anxiety levels, and Beck’s depression inventory (BDI) was used to determine the depression levels due to COVID 19 pandemic. The research was carried out between April 1, 2020, and June 30, 2020. An ordinal logistic regression analysis was performed to explain the odds of observing anxiety and depression. RESULTS: For “moderate anxiety” (22–35), the most frequently observed category of age, nationality, gender, duration spent in lockdown and profession was 20–30 years (n = 15, 65%), Saudis (n = 14, 61%), female (n = 15, 65%),>3 months (n = 17, 74%), and students (n = 15, 65%) respectively. For “moderate depression” (21–30), the most frequently observed category of age, nationality, gender, duration spent in lockdown and profession was 20–30 years (n = 10, 50%), Saudi (n = 15, 65%), female (n = 26, 65%).>3 months (n = 13, 65%), and both students and faculty members, each with an observed frequency of 10 (50%) respectively. Ordinal logistic regression analysis suggested that the observed effects of nationality, gender, and duration spent in lockdown period influenced the anxiety levels among participants. CONCLUSIONS: The impact of the lockdown duration was more significant in students than in faculty members and females than in males. Authors recommend the critical need for intervention and prevention strategies to address college students’ mental health.

Teeth and bones of calvarium are important structures from a forensic point of view, as they are extremely resilient to destruction or decomposition, even under temperature variations. Radiology is inevitably an important tool in forensic investigations. Maxillofacial radiology provides a considerable amount of information for the identification of remains and evidence in case of legal matters. The advent of cone-beam computed tomography (CBCT) in the arena of maxillofacial 3D imaging has contributed immensely to forensic science such as the age estimation through teeth, analysis of bite marks, determination of race and sex, etc. The advantages of accuracy in imaging the anatomy, digitized technology favoring easier comparison of records and storage of records for a longer period, cost reduction, dose reduction, and easier portability have made it an unavoidable adjunct in forensic investigations. The aim of this paper is to review and highlight the importance of CBCT in successful forensic identification and analysis. This review is written to address the various aspects of CBCT as a recently developed technology that may be very useful in some forensic contexts, based on searches for current studies in the literature using PubMed, Scopus, Web of Science, and Google Scholar databases, to identify studies published since inception to December 2021, with no language restriction. In conclusion, CBCT is an accessible 3D imaging technology with many applications, one of them being in forensic sciences.

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The paper proposes a surface plasmon resonance (SPR) biosensor utilizing MXene and a Molybdenum Disulfide (MoS2) material layer, placed on the Ag metal-based conventional biosensor to detect disease in human teeth. The SPR biosensor works on the principle of attenuated total reflection. The transverse matrix method was utilized for the reflectivity calculation. The thickness of the Ag layer, MXene, and MoS2 were taken as 45, 0.993, and 0.375 nm, respectively. Single-layer MoS2 and two layers of MXene were taken, and the highest sensitivity of the sensor for the enamel, dentin, and cementum was obtained at 83.219 deg/RIU, 91.460 deg/RIU, and 104.744 deg/RIU. MoS2 was used to enhance the biocompatibility of the analyte with the sensing layer. The aqueous solution had been considered as sensing medium.

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