Exploring Turkish Special Education Teachers' Experiences of Emergency Remote Teaching during the COVID-19 Pandemic

Individuals with special needs are highly disadvantaged during the COVID-19 quarantine days, and families and children received limited support. Learning the experiences, problems and solution suggestions of teachers who are responsible for the education of children with special needs is of great importance in determining the plans to be made to provide the necessary support. The purpose of this study is to investigate in-service special education teachers' experiences of emergency remote teaching and to seek to understand the essence of their lived experiences during the COVID-19 pandemic. This qualitative study employs a phenomenological design. This current interpretative phenomenological study consists of 21 special education teachers that meet predetermined criteria. Semi-structured interviews were used to collect the data. Five key questions and one closing question which were created by the researchers aligned with the purpose of the study were asked to the participants. As a result of the data obtained within the scope of the study, themes emerged according to special education teachers' experiences such as technical infrastructure, ICT literacy, required technical support, transformations in performance tracking and assessment, learning resource, problem behaviors, goals and objectives, family engagement, person being supported, type of support provided and decision about sustainability.

Artificial intelligence in medical education curriculum: An e-Delphi study for competencies.

BACKGROUND: Artificial intelligence (AI) has affected our day-to-day in a great extent. Healthcare industry is one of the mainstream fields among those and produced a noticeable change in treatment and education. Medical students must comprehend well why AI technologies mediate and frame their decisions on medical issues. Formalizing of instruction on AI concepts can facilitate learners to grasp AI outcomes in association with their sensory perceptions and thinking in the dynamic and ambiguous reality of daily medical practice. The purpose of this study is to provide consensus on the competencies required by medical graduates to be ready for artificial intelligence technologies and possible applications in medicine and reporting the results. MATERIALS AND METHODS: A three-round e-Delphi survey was conducted between February 2020 and November 2020. The Delphi panel accorporated experts from different backgrounds; (i) healthcare professionals/ academicians; (ii) computer and data science professionals/ academics; (iii) law and ethics professionals/ academics; and (iv) medical students. Round 1 in the Delphi survey began with exploratory open-ended questions. Responses received in the first round evaluated and refined to a 27-item questionnaire which then sent to the experts to be rated using a 7-point Likert type scale (1: Strongly Disagree-7: Strongly Agree). Similar to the second round, the participants repeated their assessments in the third round by using the second-round analysis. The agreement level and strength of the consensus was decided based on third phase results. Median scores was used to calculate the agreement level and the interquartile range (IQR) was used for determining the strength of the consensus. RESULTS: Among 128 invitees, a total of 94 agreed to become members of the expert panel. Of them 75 (79.8%) completed the Round 1 questionnaire, 69/75 (92.0%) completed the Round 2 and 60/69 (87.0%) responded to the Round 3. There was a strong agreement on the 23 items and weak agreement on the 4 items. CONCLUSIONS: This study has provided a consensus list of the competencies required by the medical graduates to be ready for AI implications that would bring new perspectives to medical education curricula. The unique feature of the current research is providing a guiding role in integrating AI into curriculum processes, syllabus content and training of medical students.

Is Having Inflammatory Bowel Disease a Risk Factor for Severe Acute Respiratory Syndrome Coronavirus 2?

BACKGROUND: The severe acute respiratory syndrome coronavirus 2 virus was found to have effects not only in the lungs but also in many different organs. We aimed to evaluate the management of our patients with inflammatory bowel disease in this pandemic, the incidence of coronavirus disease 2019 in terms of clinical, medical treatment, and features of inflammatory bowel disease, and to investigate the effects of the severe acute respiratory syndrome coronavirus 2 on this particular group of patients. METHODS: During the coronavirus disease 2019 pandemic, 207 patients who had inflammatory bowel disease for at least 6 months were questioned for coronavirus disease 2019 at their outpatient clinic admissions, and their medical records were evaluated prospectively. RESULTS: Of the 207 patients, 146 had Crohn's disease. The mean disease duration was determined as 118.15 ± 72.85 months. Of the patients, 127 (61.4%) were using mesalazine, 110 (53.1%) azathioprine, and 148 (71.5%) biological agents. It was found that 66 (31.9%) patients changed their medications during the coronavirus disease 2019 pandemic. As a medication change, anti-Tumor Necrosis Factor (TNF) dose was observed to be omitted most frequently at a rate of 80%. Diarrhea was present in 20.8%, abdominal pain in 20.3%, nausea in 10.6%, anorexia in 13.5%, and weight loss in 15.9% of the patients. Twelve (5.79%) patients were diagnosed with coronavirus disease 2019. Lung involvement was present in 11 (91.7%) of the patients diagnosed with coronavirus disease 2019. Of the patients diagnosed and not diagnosed with coronavirus disease 2019, 75% vs. 71.6% were using biological agents (P = .80), respectively. Half of the patients diagnosed with coronavirus disease 2019 were active in terms of inflammatory bowel disease at the time of diagnosis, and 2 of these patients were severely active. CONCLUSION: The incidence of coronavirus disease 2019 infection in patients with inflammatory bowel disease was not different from the general population during the severe acute respiratory syndrome coronavirus 2 pandemic. Coronavirus disease 2019 infection does not progress with poor prognosis in patients with inflammatory bowel disease who receive immunosuppressive therapy including biological agents.

Design and various in silico studies of the novel curcumin derivatives as potential candidates against COVID-19 -associated main enzymes.

The novel coronavirus disease (COVID-19) is a highly contagious disease caused by the SARS-CoV-2 virus, leading severe acute respiratory syndrome in patients. Although various antiviral drugs and their combinations have been tried so far against SARS-CoV-2 and they have shown some effectiveness, there is still a need for safe and cost-effective binding inhibitors in the fight against COVID-19. Therefore, phytochemicals in nature can be a quick solution due to their wide therapeutic spectrum and strong antiviral, anti-inflammatory, and antioxidant properties. In this context, the low toxicity, and high pharmacokinetic properties of curcumin, which is a natural phytochemical, as well as the easy synthesizing of its derivatives reveal the need for investigation of its various derivatives as inhibitors against coronaviruses. The present study focused on curcumin derivatives with reliable ADME profile and high molecular binding potency to different SARS-CoV-2 target enzymes (3CLPro, PLpro, NSP7/8/12, NSP7/8/12 +RNA, NSP15, NSP16, Spike, Spike+ACE). In the molecular docking studies, the best binding scores for the 22 proposed curcumin derivatives were obtained for the PLpro protein. Furthermore, MD simulations were performed for high-affinity ligand-PLpro protein complexes and subsequently, Lys157, Glu161, Asp164, Arg166, Glu167, Met208, Pro247, Pro248, Tyr264, Tyr273 and Asp302 residues of PLpro was determined to play key role for ligand binding by Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) analysis. The results of the study promise that the proposed curcumin derivatives can be potent inhibitors against SARS-CoV-2 and be converted into pharmaceutical drugs. It is also expected that the findings may provide guiding insights to future design studies for synthesizing different antiviral derivatives of phytochemicals.