No abstract

Content Based Image Retrieval, CBIR, is a highly active leading research field with numerous applications that are currently expanding beyond traditional CBIR methodologies. In this paper, a CBIR methodology is proposed to meet such demands. Query inputs of the proposed methodology are an image and a text. For instance, having an image, a user would like to obtain a similar one with some modification described in text format that we refer to as a text-modifier. The proposed methodology uses a set of neural networks that operate in feature space and perform feature composition in a uniform-known domain which is the textual feature domain. In this methodology, ResNet is used to extract image features and LSTM to extract text features to form query inputs. The proposed methodology uses a set of three single-hiddenlayer non-linear feedforward networks in a cascading structure labeled NetA, NetC, and NetB. NetA maps image features into corresponding textual features. NetC composes the textual features produced by NetA with text-modifier features to form target image textual features. NetB maps target textual features to target image features that are used to recall the target image from the image-base based on cosine similarity. The proposed architecture was tested using ResNet 18, 50 and 152 for extracting image features. The testing results are promising and can compete with the most recent approaches to our knowledge as listed in section 5.

Background sepsis is a life-threatening condition that arises when the body's response to infection causes injury to its own tissues and organs. Common signs and symptoms of sepsis include fever, increased heart rate, increased breathing rate, and confusion. In the very young, old, and people with a weakened immune system, there may be no specific symptoms. Aim to study QT dispersion, QT interval abnormalities and corrected QT interval in septic patients in correlation with arrhythmias, hospital outcome (survival, mortality) and electrolytes. Patients and Methodology this is a prospective randomized study that was conducted on forty adult patients who were admitted in the ICU at Ahmed Maher Teaching Hospital with the diagnosis of sepsis to correlate Corrected QT interval (QTc) and QT dispersion (QTD) with arrhythmias, need for mechanical ventilation (MV), electrolytes and hospital outcome. Results forty patients were included in this study, their ages with a mean of 53.50± 13.7 years. Male patients were 24(60%) and female patients were 16 (40%). The most frequent risk factor was hypertension (62.5%). Conclusions the QTc duration may act as a risk marker in the septic patient. Patients with markedly prolonged QTc interval had significantly more episodes of inhospital ventricular tachycardia and hospital mortality. Recommendations QTc may add a useful, simple and accessible tool to be used in risk stratification of septic patients. Factors that cause QTc prolongation could be an avoidable or correctable factors; lifethreatening arrhythmia could be prevented.