Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection.

It is important in the rising demands to have efficient anomaly detection in camera surveillance systems for improving public safety in a complex environment. Most of the available methods usually fail to capture the long-term temporal dependencies and spatial correlations, especially in dynamic multi-camera settings. Also, many traditional methods rely heavily on large labeled datasets, generalizing poorly when encountering unseen anomalies in the process.

Risk of Dementia and Its Associated Factors Among the Patients With Coronary Artery Disease Attending a Tertiary Cardiac Hospital of Dhaka City: A Cross-Sectional Study.

Background And Aims: In Bangladesh, data related to the future risk of dementia and its associated factors are scarce. Furthermore, no dementia risk prediction tool has yet been applied to estimate the risk in any population in Bangladesh. Therefore, our objective was to assess the risk of dementia and its associated factors among patients with coronary artery disease (CAD).

Association of Cardiovascular Disease Risk Factors With Estimated Dietary Salt Consumption in Bangladeshi Adults: A Nationally Representative Cross-Sectional Study.

This population-based, nationally representative cross-sectional study assessed the daily salt consumption status and its associated cardiovascular disease (CVD) risk factors using weighted data from the STEPwise approach to noncommunicable disease risk factor surveillance conducted in 2018 in Bangladesh. It included a non-institutionalized adults' population of 6189 men and women aged 18-69 years. Their daily salt consumption was estimated using the spot urine sodium concentration following the Tanaka equation and reported according to the standard nomenclature proposed by the World Hypertension League and partner organizations involved in dietary salt reduction.

h-CMD: An efficient hybrid fast centroid and quasi-centroid molecular dynamics method for the simulation of vibrational spectra.

Developing efficient path integral (PI) methods for atomistic simulations of vibrational spectra in heterogeneous condensed phases and interfaces has long been a challenging task. Here, we present the h-CMD method, short for hybrid centroid molecular dynamics, which combines the recently introduced fast quasi-CMD (f-QCMD) method with fast CMD (f-CMD). In this scheme, molecules that are believed to suffer more seriously from the curvature problem of CMD, e.

DSIA U-Net: deep shallow interaction with attention mechanism UNet for remote sensing satellite images.

Semantic segmentation of high-resolution images from remote sensing is crucial across various sectors. However, due to limitations in computational resources and the complexity of network architectures, many sophisticated semantic segmentation models struggle with efficiency in real-world applications, leading to an interest in developing lightweight model like borders. These models often employ a dual-branch structure, which balances processing speed and performance effectively.