Background: Novel corona virus (SARS-Coronavirus-2 SARS-CoV-2) which emerged in China has spread to multiple countries rapidly. Little information is known about delayed viral clearance in mild to moderate COVID-19 patients. As it is highly contagious, health care workers including physicians are high risk of being infected in hospital care. Case Report: A 37 years old Bangladeshi physician working in a paediatric unit of a medical college hospital with multiple co-morbidities, hypertension, diagnosed axial spondyloarthropathy (ankylosing spondylitis) taking disease modifying anti rheumatic drugs-DMARDs (Salfasalazine) from 2016 till now, chronic persistent bronchial asthma on medication developed sore throat, increasing breathlessness and cough admitted to his own hospital on 22 April, 2020. He had a history of contact with a relapse nephrotic syndrome (glomerulonephritis) patient admitted with severe respiratory distress later confirmed as COVID-19 following RT PCR test on 14 April, 2020. After 3 days of contact with the patient, the physician also developed the symptoms mentioned above. The RT PCR test result of the physician came positive on 18 April, 2020. The physician primarily taken only azithromycin 500 mg once daily along with other regular drugs. On 5, 12 and 18 May, 2020, his sample was taken for re-test and came positive subsequently. After that he started Ivermectin (0.15 mg/kg) once daily for 3 days and doxycycline 100 mg BD for 7 days. He gave samples again on 27 and 29 May, 2020 which were came negative after 39 days. On full recovery he was discharged from hospital on day 40. We choose the patient because presence of co-morbidities may be associated with delayed viral clearance and physicians with co-morbidities working in a hospital have high risk of being infected.
The main aim of this paper is to introduce the necessary and sufficient condition for a particular type of transformation of the form A: (a......) be regular from a triple sequence space to another triple sequence space.
<p>Manipulating high-dimensional data is a major research challenge in the field of computer science in recent years. To classify this data, a lot of clustering algorithms have already been proposed. Kohonen self-organizing map (KSOM) is one of them. However, this algorithm has some drawbacks like overlapping clusters and non-linear separability problems. Therefore, in this paper, we propose an improved KSOM (I-KSOM) to reduce the problems that measures distances among objects using EISEN Cosine correlation formula. So far as we know, no previous work has used EISEN Cosine correlation distance measurements to classify high-dimensional data sets. To the robustness of the proposed KSOM, we carry out the experiments on several popular datasets like Iris, Seeds, Glass, Vertebral column, and Wisconsin breast cancer data sets. Our proposed algorithm shows better result compared to the existing original KSOM and another modified KSOM in terms of predictive performance with topographic and quantization error.</p>
In this paper, a green and robust optimization model is introduced to minimize network power consumption, which allows fluctuations of traffic demands between source-destination pairs in the network. Our model is based on the green hose model, where the traffic is bounded by just total outgoing and incoming amount at each node. In addition to the green hose model, we use the ellipsoidal uncertainty set to allow a different type of fluctuations in traffic demands. Here, the total amount of squared errors in traffic demands is bounded by a constant which controls the total admissible fluctuations over the network.Applying the conic duality, we formulate our model in the form of mixed-integer second order cone programming (MISOCP) problem. Furthermore, we establish a relationship between our model and the green hose model with bound of link traffic (HLT) model, an developed version of the hose model known as the HLT.Numerical results demonstrate that each of the MISOCP problems can be solved to its optimality in a reasonable time by a general MISOCP solver, and that the proposed model has different tendency in performance with the green hose and green HLT models.
KEYWORDSgreen computing, mixed-integer second-order cone programming, power consumption, robust optimization, second-order cone programming, traffic-demand matrix Int J Commun Syst. 2019;32:e3891.wileyonlinelibrary.com/journal/dac
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