Numerical investigation of entropy generation and Magnetohydronamic natural convection in a porous square cavity with four embedded cylinders.

In this study, we investigated buoyancy-induced convection in a permeable square hollow containing four embedded cylinders and subjected to a magnetic field using numerical methods. The finite element approach was used to solve the governing equations of the system as well as the initial and boundary conditions. We analyzed the effects of the emerging non-dimensional quantities on the flow pattern and thermal field, as well as entropy production, in relation to the thermophysical properties of the obstacles.

BAOS-CNN: A novel deep neuroevolution algorithm for multispecies seagrass detection.

Deep learning, a subset of machine learning that utilizes neural networks, has seen significant advancements in recent years. These advancements have led to breakthroughs in a wide range of fields, from natural language processing to computer vision, and have the potential to revolutionize many industries or organizations. They have also demonstrated exceptional performance in the identification and mapping of seagrass images.

Artificial Intelligence in Cardiology: An Australian Perspective.

Significant advances have been made in artificial intelligence technology in recent years. Many health care applications have been investigated to assist clinicians and the technology is close to being integrated into routine clinical practice. The high prevalence of cardiac disease in Australia places overwhelming demands on the existing health care system, challenging its capacity to provide quality patient care.

Obstetric triage improvement process using the Donabedian model of quality care: a quality improvement initiative.

Obstetric triage has become one of the most crucial innovations in the field of perinatal care in the past 15 years. In lower- middle- income countries (LMICs), the pregnant patients are seen in a conventional way based on the time of their arrival; this divergent, unbalanced and inequitable approach results in delayed initial evaluation, prolonged length of stay (LOS) and affected clinical outcomes.This project aimed at implementing an effective and efficient obstetric triage system with improved throughput and care processes within six months to facilitate timely decision making according to the individualized needs of pregnant patients.

A Vision-Based Machine Learning Method for Barrier Access Control Using Vehicle License Plate Authentication.

Automatic vehicle license plate recognition is an essential part of intelligent vehicle access control and monitoring systems. With the increasing number of vehicles, it is important that an effective real-time system for automated license plate recognition is developed. Computer vision techniques are typically used for this task.

A Mature Cystic Teratoma of the Urinary Bladder.

We report a case of a mature cystic teratoma of urinary bladder in a 17-year female, which is extremely rare. The patient presented with pain in suprapubic region for one year. On computerized tomography (CT) of abdomen and pelvis, a welldefined, enhancing heterogeneous soft tissue density lesion measuring 2.

Lymphocytic esophagitis: An Australian (Queensland) case series of a newly recognized mimic of eosinophilic esophagitis.

Background And Aim: Lymphocytic esophagitis (LoE) is a recently described upper gastrointestinal tract "disorder" diagnosis of which hinges on histology and is characterized by the excessive infiltration of lymphocytes in the peripapillary fields of the esophageal epithelium, with clinical manifestations similar to those of eosinophilic esophagitis (EoE). In this article, we aim to describe for the first time the clinico-pathological characteristics of a large cohort of Australian (Queensland) cases of LoE.

Methods: Histological data that fulfilled the criteria (predominant lymphocytic infiltration in the peripapillary fields, none or minimal neutrophils or eosinophils, and no infection) were collected between January 2014 and May 2016 from a number of major Queensland Public Hospital anatomical pathology laboratories.

Numerical investigation of vortex shedding mechanism for staggered rows of cylinders.

This numerical investigation deals with study of flow past seven square cylinders arranged in staggered configuration. Simulations to the underlying problem are carried out by using the single relaxation time lattice Boltzmann method. The gap spacing between the staggered rows is varied in streamwise direction from 0.

Anticancer, antimicrobial and antioxidant potential of sterically tuned bis-N-heterocyclic salts.

The current study was conducted to evaluate the antimicrobial, antioxidant, antileishmanial and cytotoxic potential of designed derivatives of 1,1'-(1,3-phenylenebis(methylene))bis(3-alkyl/aryl-1H-benzimidazol-3-ium) salts. The antibacterial potential of the test compounds was investigated against Staphylococcus aureus, Pseudomonas aeruginosa and two methicillin-resistant S. aureus (MRSA) strains (MRSA10, MRSA11), where compound 6 showed the best results.

Transitions in the flow patterns and aerodynamic characteristics of the flow around staggered rows of cylinders.

A two-dimensional numerical study of flow across rows of identical square cylinders arranged in staggered fashion is carried out. This study will unreveal complex flow physics depending upon the Reynolds number (Re) and gap spacing (g) between the cylinders. The combined effect of Reynolds number and gap spacing on the flow physics around staggered rows of cylinders are numerically studied for 20 ≤ Re ≤ 140 and 1 ≤ g ≤ 6.