Publications by authors named "Andriani S"

A paradigmatic case is presented of subarachnoid hemorrhage as the initial sign of bacterial endocarditis on a mechanical cardiac prosthesis, in the absence of symptoms and echocardiographic evidence of infective endocarditis and vegetation. The presentation emphasizes the need to pursue a diagnostic workup for bacterial endocarditis whenever a patient with a mechanical prosthesis presents to the emergency department with focal neurologic signs. In addition, it highlights the potential use of second-level diagnostic tools to assess the extent of abscess presence and lesion extension to other cardiac structures for proper surgical planning.

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Background: Recent trials have confirmed the effectiveness of promising dengue control technologies - two vaccines and . These would generally be applied at the municipal level. To help local officials decide which, if any, control strategy to implement, they need affordable, timely, and accurate data on dengue burden.

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This study aimed to analyze and differentiate the role of AI and no AI-supported m-health platforms for COVID-19 self-screening in Indonesia. We utilized a mysterious shopping method to develop four standardized cases with various severity levels of COVID-19 tested in Indonesia's most popular mHealth platforms. We selected seven apps from the top 200 free mHealth apps in the "Medical" category in the Google Play Store equipped with COVID-19 symptom checkers.

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Introduction: Bone involvement in Multiple Myeloma results from increased osteoclast formation and activity that occurs in proximity to myeloma cells. The role of Alkaline Phosphatse (ALP) in this process and the diagnostic significance of plasma levels in patients with MM are unclear.

Aim: To compare plasma ALP levels in patients with MM and solid cancers and metastatic lesions to the bone.

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Background: The Adonhers (aged donor heart rescue by stress-echo protocol) Project was created to resolve the current shortage of donor hearts. One of the great limits of stress echo is the operator dependency. Speckle-tracking echocardiography (STE), offering a quantitative objective analysis of myocardial deformation, may help to overcome this limit.

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In this paper, we present a novel technique that uses the optimal linear prediction theory to exploit all the existing redundancies in a color video sequence for lossless compression purposes. The main idea is to introduce the spatial, the spectral, and the temporal correlations in the autocorrelation matrix estimate. In this way, we calculate the cross correlations between adjacent frames and adjacent color components to improve the prediction, i.

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Most digital cameras use a color filter array to capture the colors of the scene. Downsampled versions of the red, green, and blue components are acquired, and an interpolation of the three colors is necessary to reconstruct a full representation of the image. This color interpolation is known as demosaicing.

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