Automated Detection and Differentiation of Stanford Type A and Type B Aortic Dissections in CTA Scans Using Deep Learning.

Background/objectives: To develop and validate a model system using deep learning algorithms for the automatic detection of type A aortic dissection (AD), and differentiate it from normal and type B AD patients.

Methods: In this retrospective study, a deep learning model is developed, based on aortic computed tomography angiography (CTA) scans of 498 patients using training, validation and test sets of 398, 50 and 50 patients, respectively. An independent test set of 316 patients is used to validate and evaluate its performance.

Complete genome sequence of aquaculture pond isolate, M4019.

is commonly found in soil and has various antibacterial activities against animal and plant pathogens. Here, we present the complete genome sequence of strain M4019, isolated from a euryhaline aquaculture pond water in Yong-An, Kaohsiung City, Taiwan. This pond-water-derived isolate, unlike common soil-derived isolates, may provide potentially different adaptations and antimicrobial cues for future research.

Interpretable Machine Learning Models for Predicting Critical Outcomes in Patients with Suspected Urinary Tract Infection with Positive Urine Culture.

(1) Background: Urinary tract infection (UTI) is a leading cause of emergency department visits and hospital admissions. Despite many studies identifying UTI-related risk factors for bacteremia or sepsis, a significant gap remains in developing predictive models for in-hospital mortality or the necessity for emergent intensive care unit admission in the emergency department. This study aimed to construct interpretable machine learning models capable of identifying patients at high risk for critical outcomes.

Evaluation of the cushion effect in blunt abdominal trauma patients: A computerized analysis.

Background: Obesity may serve as a protective factor in blunt abdominal trauma (BAT) patients due to a "cushion effect". In this study, we aim to use computed tomography (CT) scans to measure abdominal adiposity and its correlation with injury severity in BAT patients.

Methods: We conducted a retrospective analysis of male BAT patients who had undergone CT scans.

Complete Genome Sequence of a Suckermouth Catfish Outbreak Isolate, Aeromonas hydrophila Strain LP0103.

Aeromonas hydrophila is the most common opportunistic pathogen that plagues freshwater and euryhaline fishponds. Here, we present the complete genome sequence of A. hydrophila strain LP0103, which was isolated from a bacterial septicemia outbreak among suckermouth catfish (Pterygoplichthys pardalis) at Lotus Pond in Kaohsiung City, Taiwan.

Red room temperature phosphorescence of lead halide based coordination polymer showing efficient angle-dependent polarized emission and photoelectric performance.

The development of organic-inorganic hybrid materials with long-lived room temperature phosphorescence (RTP) has attracted tremendous attention owing to their promising applications in the optoelectronic and anti-counterfeiting fields. In this work, by the selection of lead halide and electron-poor heteroaromatic molecule 1,10-phenanthroline (phen), a coordination polymer [Pb(phen)Cl] has been synthesized under hydrothermal conditions. This complex shows an alternating arrangement of a long-range order of phen π-conjugated systems and lead halide inorganic chains as revealed by X-ray single-crystal structural analysis.

An anthracene based metal-organic framework showing efficient angle-dependent polarized emission, luminescence thermometry, and photoelectronic response.

The development of luminescent metal-organic frameworks (MOFs) has attracted extensive attention due to their applications in photoelectric devices, organic light-emitting diodes (OLEDs), anti-counterfeiting, biological imaging and so on. In this work, a novel anthracene based metal-organic framework, [Cd(DCPA)(DMF)]·(HO) (1) (HDCPA = 9,10-di(-carboxyphenyl)anthracene), has been successfully synthesized under solvothermal conditions. The highly ordered arrangement and special spatial conformation of the anthracene chromophore play a significant role in the photophysical properties of 1.

Angular super-resolution in X-ray projection radiography using deep neural network: Implementation on rotational angiography.

Background: Rotational angiography acquires radiographs at multiple projection angles to demonstrate superimposed vasculature. However, this comes at the expense of the inherent risk of increased ionizing radiation. In this paper, building upon a successful deep learning model, we developed a novel technique to super-resolve the radiography at different projection angles to reduce the actual projections needed for a diagnosable radiographic procedure.

A review of protein-protein interaction network alignment: From pathway comparison to global alignment.

Network alignment provides a comprehensive way to discover the similar parts between molecular systems of different species based on topological and biological similarity. With such a strong basis, one can do comparative studies at a systems level in the field of computational biology. In this survey paper, we focus on protein-protein interaction networks and review some representative algorithms for network alignment in the past two decades as well as the state-of-the-art aligners.

Identification of protein complexes by integrating multiple alignment of protein interaction networks.

Motivation: Protein complexes are one of the keys to studying the behavior of a cell system. Many biological functions are carried out by protein complexes. During the past decade, the main strategy used to identify protein complexes from high-throughput network data has been to extract near-cliques or highly dense subgraphs from a single protein-protein interaction (PPI) network.

Optimizing a global alignment of protein interaction networks.

Motivation: The global alignment of protein interaction networks is a widely studied problem. It is an important first step in understanding the relationship between the proteins in different species and identifying functional orthologs. Furthermore, it can provide useful insights into the species' evolution.

Reconstruction of phyletic trees by global alignment of multiple metabolic networks.

Background: In the last decade, a considerable amount of research has been devoted to investigating the phylogenetic properties of organisms from a systems-level perspective. Most studies have focused on the classification of organisms based on structural comparison and local alignment of metabolic pathways. In contrast, global alignment of multiple metabolic networks complements sequence-based phylogenetic analyses and provides more comprehensive information.

GI-POP: a combinational annotation and genomic island prediction pipeline for ongoing microbial genome projects.

Sequencing of microbial genomes is important because of microbial-carrying antibiotic and pathogenetic activities. However, even with the help of new assembling software, finishing a whole genome is a time-consuming task. In most bacteria, pathogenetic or antibiotic genes are carried in genomic islands.