UI-UX Design Using User Centred Design (UCD) Method

As businesses extend their online offerings, demand for UI-UX and digital services is increasing. Both in-house teams and agencies will be under pressure to offer services on time, with the total number of internet users worldwide increasing by 301 million since April 2019 (We are Social). After the covid-19 it's demand in e-commerce market is also increasing exponentially. In this paper User-centred design (UCD) method is used to process the whole prototyping. User flow is also discussed based on 3 levels(launch screen, create and account, home screen). The test result for the sample prototyping were the app's design elements with 4 points being the most common response on the scale of 5, the main menu page and its experience with 5 points, and the overall UI-UX of the app with 5 points. © 2022 IEEE.

Facial neuritis in coronavirus disease 2019 associated mucormycosis: study on clinico-radiological correlates.

OBJECTIVE: To elucidate the aetiopathogenesis of facial neuritis in coronavirus disease 2019 associated mucormycosis. METHODS: A retrospective review was conducted of coronavirus disease 2019 associated mucormycosis patients who presented with peripheral facial nerve palsy from January 2021 to July 2021. The clinico-radiological details of four patients were assessed to examine the potential mechanism of facial nerve involvement. RESULTS: Serial radiological evaluation with contrast-enhanced computed tomography and contrast-enhanced magnetic resonance imaging revealed infratemporal fossa involvement in all cases, with the inflammation extending along fascial planes to reach the stylomastoid foramen. Ascending neuritis with an enhancement of the facial nerve was demonstrated in all cases. CONCLUSION: The likely explanation for facial palsy in patients with coronavirus disease 2019 associated mucormycosis, backed by radiology, is the disease abutting the facial nerve at the stylomastoid foramen and causing ascending neuritis of the facial nerve.

Efficacy of WBC and Platelet Parameters in Predicting Survival in Patients with COVID-19 Infection

Introduction: Coronavirus disease 2019 (COVID-19) is an infectioncaused by severe acute respiratory syndrome coronavirus 2 (SARSCoV-2). Since there is activation of both inflammatory and thrombotic pathways in this disease, indices derived from routinelymeasured blood parameters, whose role is established in severe sepsis,are being evaluated worldwide as potential prognostic markers.Aims &Objectives: In this study we aimed to evaluate the role ofAbsolute Neutrophil count (ANC), Absolute Lymphocyte Count(ALC), Mean platelet volume (MPV), platelet distribution width(PDW), Plateletcrit (PCT), Platelet-large cell ratio(P-LCR), Neutrophil Platelet ratio (NPR) and Platelet Lymphocyte ratio (PLR) inpredicting survival amongst patients admitted with COVID-19infection.Materials &Methods: We conducted a retrospective chart review ofall moderate to severely ill adult patients admitted with COVID-19pneumonia admitted at All India Institute of Medical Sciences,Bhopal, a tertiary care hospital in Central India from April 2020-November 2020. Information about their demography, clinical features, laboratory investigations and in-hospital survival were collectedfrom charts.Result: The study included 1331 patients, out of these 1181 weresurvivors (389 females;792 males) and 150 were non survivors (35females;115 males). Amongst the various parameters studied ANC,NPR and PCT were found to be significantly lower amongst thesurvivors as compared to the non survivors whereas ALC was significantly higher amongst the survivors.Conclusions: The results of the current study showed that ANC,ALC, NPR and PCT can be used as useful cost-effective prognosticmarkers in patients with COVID-19 infection.

ComputeCOVID19+: Accelerating COVID-19 Diagnosis and Monitoring via High-Performance Deep Learning on CT Images

The COVID-19 pandemic has highlighted the importance of diagnosis and monitoring as early and accurately as possible. However, the reverse-transcription polymerase chain reaction (RT-PCR) test results in two issues: (1) protracted turnaround time from sample collection to testing result and (2) compromised test accuracy, as low as 67%, due to when and how the samples are collected, packaged, and delivered to the lab to conduct the RT-PCR test. Thus, we present ComputeCOVID19+, our computed tomography-based framework to improve the testing speed and accuracy of COVID-19 (plus its variants) via a deep learning-based network for CT image enhancement called DDnet, short for DenseNet and Deconvolution network. To demonstrate its speed and accuracy, we evaluate ComputeCOVID19+ across several sources of computed tomography (CT) images and on many heterogeneous platforms, including multi-core CPU, many-core GPU, and even FPGA. Our results show that ComputeCOVID19+ can significantly shorten the turnaround time from days to minutes and improve the testing accuracy to 91%. © 2021 ACM.

Investor sentiment and government policy interventions: evidence from COVID-19 spread

Purpose: This paper aims to investigate the moderating role of government policy interventions amid the early spread of novel coronavirus (COVID-19) (January–May 2020) on the investor sentiment and stock returns relationship. Design/methodology/approach: This paper uses panel data from a sample of 53 countries to examine the impact of investor sentiment, measured by the financial and economic attitudes revealed by the search (FEARS) index (Da et al., 2015) on the stock return. Findings: The moderating role of government policy response indices with the FEARS index on the global stock returns is further explored. This paper finds that government policy responses have a moderating role in the sentiment and stock returns relationship. The effect holds true even when countries are split based on five classifications, i.e. cultural distance, health standard, government effectiveness, social well-being and financial development. The results are robust to an alternative measure of pandemic search intensity, quantile regression and two measures of stock market activity, i.e. conditional volatility and exchange traded fund returns. Research limitations/implications: The sample period of this study encompasses the early spread phase (January–May 2020) of the novel COVID-19 spread. Originality/value: This paper provides some early evidence on whether the government policy interventions are helpful to mitigate the impact of investor sentiment on the stock market. The paper also helps to shed better insights on the role of different country characteristics for the sentiment and stock return relationship. © 2021, Emerald Publishing Limited.

Outcome of sars-cov2 infection in hematological disorders: A tertiary-care cancer center experience

Aims & Objectives: We conducted a clinical audit of patients with hematological disorders and SARS-CoV2 infection. Patients/Materials & Methods: A prospective registry was established in April 2020 for patients from the department of clinical hematology and HCT who were diagnosed to be positive for SARSCoV2 by PCR test. Out patients creening was symptom/contact-exposure driven, and in patients creening was symptomaticorpreemptive. This study is a part of ASHCOVID19 International collaborative and an interim analysis of the institute registry data from April 15, 2020 to October 7, 2020. Results: 1201 new patients were registered and 9539 patient-visits were recorded in the out patient service of the department during this period. 91 (0.08%) patients tested positive for SARS-CoV2. Baseline characteristics of the patients are listed in Table 1. 56 (61.5%) patients needed hospitalization. The median absolute neutrophil count was 3700/cu.mm, while the median absolute lymphocyte count 900/cu.mm. Inflammatory markers (n = 21):median D-dimer was 2845 ng/ml (243-140643) and median CRP level was 14 mg/dl (3.3- 34). Therapy directed against SARS-CoV2 included, Azithromycin (n = 52,60.4%), Dexamethasone (27 patients,29.7%), Remdesivir (n = 10,11.1%) and doxycycline (n = 9,9.9%). 2(2.2%) patients received tocilizumab and 1 patient (1.1%) received convalescent plasma. On univariate analysis, none of the therapies seemed to affect outcomes. The SARS-CoV2 infection mortality was 15% (14/91). 2 patients died due to non-COVID related causes [tumor lysis syndrome (n = 1), leukocytostasis with CVA (n = 1)]. 7/45(15.5%) receiving anti-B-lymphocyte directed therapy died as compared to 7/46(15.21%) not receiving Anti-B-cell therapies. Patients with low grade B-NHL (5/16,31.25%) had the highest mortality rate followed by high grade B-NHL (7/23,30.4%).There was a trend to higher mortality in patients>50 years (12/45,26.6% in those[=50 years age as compared to 4/30,13.33% in those<50 years age). With data available until the date of censoring, most patients were diagnosed in August (n = 32,35.2%) with numbers tailing off in September (n = 20, 22%). Discussion & Conclusion: In our subset of patients with hematological disorders, SARS-COV2 infectivity was found to be low, hospitalization rate was moderate, and mortality was high and commoner in patients>50 yr and a B-cell lymphoma diagnosis. A more aggressive screening approach will potentially improveoutcomes.