Search results for: Ibeku Bernadine Ezenwanyi

Authors: Ibeku Bernadine Ezenwanyi

Abstract:

Hospital-Acquired Infections (HAI), also called ‘Nosocomial Infection’ is an infection you get while in the hospital for another reason. They are an important cause of morbidity and mortality. This study examined the epidemiology, clinical outcomes of some instruments used on patients especially catheter that was passed on them during their stay in the hospital. It was discovered that they had catheter–associated urinary tract infection (CAUTI). An observational study was carried out from January to March, 2022, on 180 patients (80 males and 100 females) admitted in the surgical wards, medical wards, dialysis unit and intensive care unit (ICU) of the hospital. The patient’s urine samples were collected for urine culture and the isolation was carried out using plate count agar medium and macconkey agar. Among the 80 males, 45 had Urinary Tract Infections (UTI) mostly proteus infection and among the 100 females, 70 also had (UTI) and the most common was caused by Escherichia coli. Other strain of microorganisms such as Klebsiella, Staphylococcus aureus and Pseudomonas aeruginosa. It is important to follow up patients that these devices were used on with antibiotics to make sure that these infections are not developed because the rate of these infections (UTI) are high especially in females.

Keywords: catheter, urinary tract infection, nosocomial infection, microorganisms

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Authors: Pocholo Rodriguez, Anne Bernadine Ocampo, Ian Benedict Chan, Janric Micah Gray

Abstract:

The state of an electric power system may be classified as either stable or unstable. The borderline of stability is at any condition for which a slight change in an unfavourable direction of any pertinent quantity will cause instability. Voltage instability in power distribution systems could lead to voltage collapse and thus power blackouts. The researchers will present an intelligent system using back propagation algorithm that can detect voltage instability and output voltage of a power distribution and classify it as stable or unstable. The researchers’ work is the use of parameters involved in voltage instability as input parameters to the neural network for training and testing purposes that can provide faster detection and monitoring of the power distribution system.

Keywords: back-propagation algorithm, load instability, neural network, power distribution system

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