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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.

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.

<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>

Purpose: The purpose of this study is to present a better understanding of the specialized telehealth service in Bangladesh from the service provider and service recipients by aged people Method: Both quantitative and qualitative methods were used to collect data from Diabetes Mellitus (DM) patients. Data were collected by online telephone interviewing with an interview schedule. A total of 100 aged people with diabetes were selected purposively for a quantitative interview and 10 In-depth Interviews (IDIs) & Key Informant Interviews (KIIs) were conducted. Result: The majority of patients aged was between 61 to 68 years with a mean age of 63.6 ± 7.01years. The difference of age of DM patients by sex was found statistically significant (x2 = 39.49, df = 31; Cramer’s V = .032; P=<.003). The main source of information about digital health was: relatives (55%), neighbors (31%), television (12%), newspaper (10%), social media (9%), and healthcare providers (6%). Strong relationship was found between age of respondents and sources of information (x2= 77.08; Cramer’s V= .032, df = 13; Sig; P= < .009). About 59% of DM patients were benefited from telehealth services during COVID-19, however; they encountered some difficulties like effective access to digital technology, cost, and diagnosis facilities. About 83% of respondents suggest formalizing community engagement programs to extend the digital health services during a health emergency. The common barriers to the engagement of community people in digital health care are lack of social awareness, lack of peer group support, and gender disparities. Poor counseling, language barrier, bad internet signal, and lack of family members' support were the key barriers during teleconsultation services. Conclusion: Telehealth has the potential to address critical health issues of aged people and effective community engagement may be the best option to reach older people with diabetes in Bangladesh during any health emergency.

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

COVID-19(Corona virus disease 2019), which starts from Wuhan, China on December, 2019 spread rapidly to different countries of the world including Bangladesh. It affects huge impact on health care system. It’s a new disease with multisystem involvement. Physicians are experiencing new presentation of different cases and rare complication including arterial thrombosis. Few data is available regarding arterial thrombosis in SARS-CoV-2 infected patients. We are currently fighting with a 60 year old lady suffering from COVID-19 pneumonia with other co-morbidities developed severe arterial occlusion of right leg despite of taking anti platelet for long time for another cause. Patient developed irreversible right lower limb ischemia not improving with continuous infusion of unfractionated heparin followed by severe pulmonary embolism. So further study and recommendations will need to evaluate the cases and treatment in COVID-19 Patients with rare presentation. Bangladesh Journal of Infectious Diseases, October 2020;7(suppl_2):S50-S56

Vaccination is to be considerd as one of the most well-known economically viable medical procedures to prevent massive diphtheria outbreaks happening in recent times. Under this circumstance, the available data on diphtheria and vaccination coverage of three South Asian countries is warranted. The published English-language literature between January 2007 and January 2019 was retrieved from search results in eight highly resourceful journal databases using the specific terms. A massive diphtheria outbreak was occurred in refugee camps in Cox Bazar, a harbour city in Bangladesh, between November 2017 and March 2019. A total of 8641 diphtheria case-patients were reported including 45 deaths in the refugee camps. Our synthesis data shows that there is a gap of immunity which creates a large scale of potentiality for a new pandemic for adult couples along with children. The DTP3 coverage in India and Myanmar is less than 90% and these two countries had no standard coverage of DTP3 dose. We concluded that the massive outbreak of diphtheria in South Asia normally occurred due to low coverage of vaccination or incomplete vaccination. Crowded living environment, low socio-economic conditions, cultural belief, and importation of microorganisms are considered for massive outbreak of diphtheria outbreaks. Community-based awareness program and vaccinating individuals and some cases revaccination of older age groups are needed to stop further transmission and control the diphtheria outbreaks in South Asia. Further research is required to fully assess the vaccination coverage in the stateless populations in this region.