The end of 2019 and the start of 2020 remained the time of the world's largest medical emergency due to Coronavirus disease known as COVID-19, outbreak in all over the world. We designed an automated robotic assistance system for the patients who are kept in quarantine. In the proposed system, doctors can remotely monitor the medical condition of a patients by maintaining social distance. A robotic cart will provide food and medicine to the patient. The proposed system also contains an emergency system where the doctor and paramedical staff can be called through the LCD panel installed aside the patient's bed or through the mobile application. The article portrays the three levels of the development of the model: the equipment level, which contains the sensors, actuators and robot execution. The design level, which defines the distinctive practical services; and the application level which illustrate the administrations offered by the system. The setup will enable the medical staff to deal with the maximum patients at less time. Also, it will enable them to make social distancing to pay more attention to severely affected patients.
Herein, we report in-situ NiCo alloy nanoparticle formation of extremely small diameter (1-5 nm) on nitrogen (N)-doped carbon spheres by the CVD method at 750 °C temperature, followed by its use in oxygen evolution reaction (OER) electrocatalysis. Secondary electron microscope (SEM) imaging shows the open as well as close cup-shaped spheres and discs, while transmission electron microscope (TEM), X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) studies confirmed the ultrafine NiCo alloy particles' formation on nitrogen-doped multilayer graphitized carbon. Moreover, Raman spectroscopy revealed the I D /I G ratio to be about 1.57 for N-doped graphitic multilayer carbon, thereby suggesting the defective nature of graphitized carbon material, which may possibly be due to the incorporation of nitrogen atoms into graphitic carbon layers. The formation of extremely small NiCo alloy nanoparticles is attributed to the reducing carbonaceous environment of CVD constituted by ethanol and acetonitrile precursors, while carbon spheres/disks seem to be catalysed by silica substrate originated from an alcogel catalyst. In addition, synthesised hybrid nanocomposites materials were tested for OER electrocatalysis in alkaline conditions and it was found that synthesized NiCo alloy nanoparticles decorated on N-doped carbon spheres have an overpotential 310 mV at current density of 10 mA/cm 2 which is just 5 mV higher than that of benchmark Ir/C (20 wt % Ir) electrocatalyst. The multiphase components of synthesised material like; electrically conductive carbon, nitrogen-doped sites and well-separated ultrafine NiCo alloy nanoparticles synergistically contributed towards better OER activity in alkaline conditions.
Big data analytics and the Internet of Things (IoT) are currently most evolving topics in the field of technology. The leading idea behind the internet of things is that almost every device that has some mac address must be linked with each other. One of the most unique features of IoT is its real-time communication of information about these devices linked together. In the past few years, huge piles of data had been generated due to the miniaturization and diversifying of physical devices that can have mac address. These huge piles of data have compromised the storage and data collection mechanism. Furthermore, this pyramid of data is completely useless without any analytical power. However, the solutions are still in their embryonic stage and this field lacks a comprehensive study and surveys. The four main distinct features about IoT are a) data processing, data change (OTLP), and high-speed data flow (b) huge data sizes generally in TBs and PBs (c) highly diverse structural and unstructured data, query language (d) diverse source of data. This paper explores the state-of-the-art research efforts projected towards these data analytics. Furthermore, data analytic methods and technologies for mining these big data are discussed.
The most prevalent abdominal emergency is acute appendicitis. Atypical manifestations may lead to diagnostic uncertainty and a delay in therapy, even if the clinical diagnosis may be simple in patients who exhibit conventional signs and symptoms. When laboratory results are presented, they often show a left shift and an increased leukocytosis. The chance of increased C-reactive protein measurement is high. Imaging modalities have become extremely important in the diagnostic work-up of patients with suspected acute appendicitis in order to maintain the low rate of negative appendectomy because the clinical diagnosis of acute appendicitis continues to pose a challenge to emergency physicians and surgeons. Ultrasound, computed tomography and magnetic resonance imaging modalities are used in diagnosis but we feel that all patients with suspected appendicitis should get an ultrasound. Because ultrasound has outstanding specificity, readily available, no ionizing radiation and cost is low.
A case report of the diagnosis of Long Term Sequelae of West Nile Neuroinvasive Disease in a patient with 9 years history. Empirical data of symptoms and test reports has been presented and based on the available data likely pathogenesis of the disease has been discussed. The empirical data has been compared to the published literature to reach a highly confident diagnosis.
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