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MiR-129-5p/DLX1 signalling axis mediates characteristics involving cancer of the prostate throughout cancerous progression.
Despite the pandemic, the Government of Bangladesh decided to keep the banks open to a limited extent to keep the country's economy afloat. The aim of this study is to assess the psychological impact of COVID-19 among the bankers who are usually more exposed to random people that put them at great risk to be affected. A total of 248 bankers willingly answered our questionnaire consisting of DASS-21 and relevant questions. Cronbach's reliability coefficient for the DASS-21 scale ranges from 0.84 to 0.90 which advocates that DASS-21 scales are highly reliable measures for this study. Results show that among participants, 11.1% were severe to extremely stressed, 10.6% of bankers were severe to extremely anxious, and 12.1% of them were severe to extremely depressed. The study illustrated, among the Bankers whose colleagues were infected (B=2.251, 95% CI - 1.473, 3.029), who smoking more (B= 1.505, 95% CI 0.411, 2.599), who wake up from sleep having a bad dreams (B = 1.018, 95% CI 0.057, 1.979), their fear of getting infected (B = 1.717, 95% CI 0.392, 3.04), who use public transportation (B = 1.378, 95% CI 0.430, 2.236), who misbehave with family members (B = 1.033, 95% CI 0.071, 1.995) and who beaten children (B = 1.210, 95% CI 0.141, 2.279) were responsible for higher stress, depression and anxiety scores respectively. Whereas, taking nutritious food (B = -0.229, 95% CI -0.30, 1.763), doing physical exercises (B = -0.325, 95% CI -1.158, 0.508) reduced depression, stress and anxiety scores. The authors believed that the result of the study will be beneficial for the government and its policymakers to take psychological intervention strategies and to make certain sufficient corporal settlement of the banking professionals.In this Editorial, as the Guest Editor to the Special Issue on Youth Identity, I reflect on the year 2020. The year was a challenging one in relation to the global impacts of the COVID-19 pandemic, as well as the continued inequities and systemic injustices faced by racialized populations. As an intersectionality-informed identity researcher, I argue that because of the complexity of our individual and collective identities, identity scholarship is not limited to a particular discipline, or theory, or methodology.Smart city surveillance systems are the battery operated light weight Internet of Things (IoT) devices. In such devices, automatic face recognition requires a low powered memory efficient visual computing system. For these real time applications in smart cities, efficient visual recognition systems are need of the hour. In this manuscript, efficient fast subspace decomposition over Chi Square transformation is proposed for IoT based on smart city surveillance systems. The proposed technique extracts the features for visual recognition using local binary pattern histogram. The redundant features are discarded by applying the fast subspace decomposition over the Gaussian distributed Local Binary Pattern (LBP) features. This redundancy is major contributor to memory and time consumption for battery based surveillance systems. selleck chemical The proposed technique is suitable for all visual recognition applications deployed in IoT based surveillance devices due to higher dimension reduction. The validation of proposed technique is proved on the basis of well-known databases. The technique shows significant results for all databases when implemented on Raspberry Pi. A comparison of the proposed technique with already existing/reported techniques for the similar applications has been provided. Least error rate is achieved by the proposed technique with maximum feature reduction in minimum time for all the standard databases. Therefore, the proposed algorithm is useful for real time visual recognition for smart city surveillance.In this ongoing theme of coronavirus disease 2019 (COVID-19) pandemic, highly sensitive analytical testing platforms are extremely necessary to detect SARS-CoV-2 RNA and antiviral antibodies. To limit the viral spread, prompt and precise diagnosis is crucial to facilitate treatment and ensure effective isolation. Accurate detection of antibodies (IgG and IgM) is imperative to understand the prevalence of SARS-CoV-2 in public and to inspect the proportion of immune individuals. In this review, we demonstrate and evaluate some tests that have been used commonly to detect SARS-CoV-2. These include nucleic acid and serological tests for the detection of SARS-CoV-2 RNA and specific antibodies in infected people. Moreover, the vitality of biosensing technologies emphasizing on optical and electrochemical biosensors toward the detection of SARS-CoV-2 has also been discussed here. The early diagnosis of COVID-19 based on detection of reactive oxygen species overproduction because of virus-induced dysfunctioning of lung cells has also been highlighted.
At present, the entire world is in a war against COVID-19 pandemic which has gradually led us toward a more compromised "new normal" life. SARS-CoV-2, the pathogenic microorganism liable for the recent COVID-19 outbreak, is extremely contagious in nature resulting in an unusual number of infections and death globally. The lack of clinically proven therapeutic intervention for COVID-19 has dragged the world's healthcare system into the biggest challenge. Therefore, development of an efficient treatment scheme is now in great demand. Screening of different biologically active plant-based natural compounds could be a useful strategy for combating this pandemic. In the present research, a collection of 43 flavonoids of 7 different classes with previously recorded antiviral activity was evaluated via computational and bioinformatics tools for their impeding capacity against SARS-CoV-2. In silico drug likeness, pharmacophore and Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) profile analysises that luteolin and abyssinone II might act as potential therapeutic candidates for SARS-CoV-2 infection. In vivo and in vitro experiments, however, should be taken under consideration to determine the efficiency and to demonstrate the mechanism of action.
Conclusively, the current study proposes that luteolin and abyssinone II might act as potential therapeutic candidates for SARS-CoV-2 infection. In vivo and in vitro experiments, however, should be taken under consideration to determine the efficiency and to demonstrate the mechanism of action.
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