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In the present study, a particular technique of artificial intelligence (AI) is applied for diagnosis and classifying medical images of patients with coronavirus disease (COVID-19). Chest radiography and laboratory-based tests are two of the most important diagnostic approaches for the detection of people with the coronavirus. Recently, a lot of studies have been carried out on using AI techniques for achieving appropriate diagnosis of COVID-19 patients using computed tomography (CT) of the chest. The present study is reviewing all available literature that have investigated the role of chest CT toward AI in the detection of COVID-19. As a novel field of computer science, AI focuses on teaching computers to be capable of learning complex tasks and decide about their solution methods. in this study, we used Matlab, Payton, and Fortran software as well as other software which are suitable for this research. In this regard, the present review study is aimed to collect the information from all the studies conducted on the role of AI as a decisive and comprehensive technology for the detection of coronavirus in patients to have a more accurate diagnosis and investigate its epidemiology.

The coronavirus, officially known also COVID-19, was first detected in December 2019 in Wuhan, China. This date could be considered as one of the important milestones for the Business World for this century. All sectors of the economy were affected at varying rates by the devastating impact of the pandemic. Problems in supply chains, fluctuating demand, shortage of inputs, and forced closures are among the main problems experienced by the business world. The business world has successfully managed its operations and production under intense uncertainty. Success has been achieved through process changes in education, transportation, innovation, collaborations, and the working environment. This provides important information about business trends. Digitalization, virtualization, sustainability, information security, and master data management are among the topics that are likely to be trends in 2022. Together with its sub-disciplines, artificial intelligence technologies are expected to be one of the technologies that will remain popular in 2022. Google CEO Sundar Pichai predicted that the impact of artificial intelligence on humanity would be above fire and electricity. Artificial intelligence will have a significant impact in 2022. We will see a number of trends related to artificial intelligence in 2022. The first one is the enhanced workforce. Supporting the workforce with machines and robots is essential for a number of operations.

The project titled “A Study on the Effects of Psychological Capital and Subjective Well-Being of Aviation Industry Employees on Team Performance in the Covid 19 Period and the Afterwards,” was accepted by the 2209-A University Students Research Projects Support Program, Scientist Training Support Programme, supervised by Assoc. Prof. Sezer Cihan Günaydın Kesken, Head of Aviation Management at Istanbul Gelisim University. Ataberk Tekin, Begüm Aras, Fatma Damla Onay, the students of UBF Aviation Management Department, and Fatmagül Ceyda Dinç, student of FEAS Aviation Management Department, are among the students involved in the project. Project Acceptance Date: 15.05.2022 - Project Completion date: 06.11.2022

İstanbul Gelişim Üniversitesi Havacılık Yönetimi Bölüm Başkanı Doç. Dr. Sezer Cihan Günaydın Kesken’in danışmanı olduğu “Covid 19 Dönemi ve Sonrasında Havacılık Sektörü Çalışanlarının Psikolojik Sermayeleri ve Öznel İyi Oluşlarının Takım Performansına Etkisi Üzerine Bir Araştırma” adlı proje Tübitak tarafından 2209-A Üniversite Öğrencileri Araştırma Projeleri Destek Programı ve Bilim İnsanı Yetiştirme Destek Programı kapsamında kabul görmüştür. UBF Havacılık Yönetimi bölümü öğrencilerinden Ataberk Tekin, Begüm Aras, Fatma Damla Onay ve İİSBF Havacılık Yönetimi bölümü öğrencisi Fatmagül Ceyda Dinç projede yer alan öğrenciler arasındadır. Projenin Kabul tarihi: 15.05.2022 - Projenin Bitiş tarihi: 06.11.2022.

The SARS-CoV-2 is an RNA-based virus and the most vital step of its survival is the attachment to hACE2 through its spike protein. Although SARS-CoV-2 has the ability to maintain high accurate replication and it can be accepted as a low mutation risked virus, it already showed more than nine thousand mutations in spike protein, of which 44 mutations are located within a 3.2 Å interacting distance from the hACE2 receptor. Mutations on spike protein, N501Y and N501T raised serious concerns for higher transmissibility and resistance towards current vaccines. In the current study, the mutational outcomes of N501Y and N501T on the hACE2-SARS CoV-2 spike protein complexation were analyzed by employing all-atom classic molecular dynamics (MD) simulations. These simulations revealed that both N501Y and N501T mutations increased the binding strength of spike protein to the host hACE2, predicted by binding free energy analysis via MM/GBSA rescoring scheme. This study highlights the importance of energy-based analysis for identifying mutational outcomes and will shed light on handling long-term and effective treatment strategies including repurposing anti-viral drugs, anti-SARS-CoV-2 antibodies, vaccines, and antisense based-therapies

Resmî olarak Covid-19 olarak bilinen Koronavirüs, ilk olarak Aralık 2019'da Çin'in Wuhan şehrinde tespit edildi. Bu tarih, iş dünyası için bu yüzyılın önemli kilometre taşlarından biri olarak kabul edilebilir. Ekonominin tüm sektörleri küresel salgının yıkıcı etkisinden farklı düzeylerde etkilendi. İş dünyasının yaşadığı temel sorunların belli başlıları arasında tedarik zincirlerinde yaşanan problemler, dalgalı talep, girdi kıtlığı ve zorunlu kapanmalar gelmektedir. Öngörülemezlik, Covid-19 küresel salgınının anahtar kelimelerinden biridir. İş dünyası yoğun bir belirsizlik ortamında operasyonlarını ve üretimini başarıyla yönetmiştir. Eğitim, ulaşım, inovasyon, iş birlikleri ve çalışma ortamındaki değişiklikler sayesinde başarı sağlanmıştır. Bu durum, iş dünyası trendleri hakkında önemli bilgiler sunmaktadır. Dijitalleşme, sanallaştırma, sürdürülebilirlik, bilgi güvenliği ve ana veri yönetimi; 2022 yılında trend olma ihtimali yüksek başlıklar arasındadır. Yapay zekâ teknolojilerinin alt disiplinleri ile birlikte 2022 yılında da popülerliğini koruyacak teknolojilerin başında gelmesi beklenmektedir.