To document the status of imported malaria infections and estimate the costs of treating of patients hospitalized with the diagnosis of imported malaria in the Slovak Republic during 2003 to 2008.

We address the following problem: given a set of complex images or a large database, the numerical and computational complexity and quality of approximation for neural network may drastically differ from one activation function to another. A general novel methodology, scaled polynomial constant unit activation function “SPOCU,” is introduced and shown to work satisfactorily on a variety of problems. Moreover, we show that SPOCU can overcome already introduced activation functions with good properties, e.g., SELU and ReLU, on generic problems. In order to explain the good properties of SPOCU, we provide several theoretical and practical motivations, including tissue growth model and memristive cellular nonlinear networks. We also provide estimation strategy for SPOCU parameters and its relation to generation of random type of Sierpinski carpet, related to the [pppq] model. One of the attractive properties of SPOCU is its genuine normalization of the output of layers. We illustrate SPOCU methodology on cancer discrimination, including mammary and prostate cancer and data from Wisconsin Diagnostic Breast Cancer dataset. Moreover, we compared SPOCU with SELU and ReLU on large dataset MNIST, which justifies usefulness of SPOCU by its very good performance.

The aim of this cross-sectional study was to monitor the prevalence of symptoms of stress (SUI) and mixed urinary incontinence (MUI) in sportswomen performing high-impact exercises. A further objective was to compare the symptoms of urinary incontinence (UI) and quality of life in sportswomen. We used the International Consultation on Incontinence Questionnaire (ICIQ-SF), the Overactive Bladder Questionnaire (OAB-q), the Urinary Incontinence Quality of Life Scale (I-QOL) and the International Physical Activity Questionnaire (IPAQ), short version. The group consisted of 503 sportswomen with a mean age of 21.1±3.6. The response rate was 71.15%. ICIQ-SF results confirmed mild difficulties with urine leakage in 72 (14.3%) sportswomen. Urinary leakage was not noted in 431 (85.7%) sportswomen. The OAB-q and I-QOL showed a significant difference, with pronounced symptoms of UUI and worse QOL in the group of sportswomen with urine leakage (p<0.000). The I-QOL recorded significantly worse parameters in the group of sportswomen with urine leakage (p<0.000). Prevalence of SUI was found in 68 (13.52%), and MUI was found in 4 (0.80%) sportswomen. Every seventh sportswoman (14.3%) in the study group had reported problems with UI when practising high-impact sporting activities, with a negative impact on QOL.

Background: Several authors have investigated the relationship between obesity – assessed only by body mass index (BMI) – and overactive bladder (OAB) symptoms. Objectives: The objective of this study was to determine the relationship between body fat percentage (BFP) and the severity of OAB symptoms with an impact on quality of life. Design: Cross-sectional study. The sample consisted of 206 overweight women; they were university students (BMI = 25.8 ± 3.0) with an average age of 30.6 ± 2.4 years. Body composition analysis was used, including assessment of BFP, visceral fat area (cm²/level), and other parameters. OAB symptoms were evaluated with an OAB questionnaire (OAB-q), voiding diary, and quality of life scale (I-QoL). Results: Ninety women had a BFP >32% and 116 had a BFP <32%. The voiding diary and OAB-q confirmed significant differences in 24-h daytime and nighttime frequency of voiding and average urine volume during the day. The OAB-q symptom score was lower in the group with BFP 32% (p < 0.01). The Patient Perception of Intensity of Urgency Scale significantly correlated with BFP (r = 0.466, p < 0.001). Women with a BFP above 32% had a 1.95 times greater chance of developing OAB (odds ratio = 1.95, 95% CI = 1.09–3.52, p < 0.02). Conclusion: Young women with a BFP >32% were 95% more likely to have OAB than other young women with a BPF <32%.