High seminal reactive oxygen species (ROS) are related to poor semen quality and impaired fertilization. We aimed at finding whether there is an association between ROS and fertilization, embryo quality and pregnancy rates after conventional in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI). In prepared semen of 147 male partners of infertile couples, ROS were assessed with luminol chemiluminescence. Spermiogram was assessed in native semen. ROS were negatively correlated with standard sperm characteristics and testicular volume, and positively with abnormal sperm head morphology. Fertilization rate and embryo morphology on day 2 and on day 4 were assessed in 41 IVF and 106 ICSI cycles. The influence of maternal (female age and number of oocytes) and paternal (sperm motility, morphology and ROS) factors on fertilization and embryo quality were assessed by means of regression analyses. After IVF, fertilization and pregnancy rates were negatively associated with ROS level (p = 0.031 and 0.041, respectively). In case of higher ROS, significantly fewer ICSI-derived embryos (p = 0.036) reached the morula-blastocyst stage on day 4. High seminal ROS levels are associated with impaired sperm fertilizing ability and lower pregnancy rates after IVF. In ICSI, a negative association of ROS with embryo development to the blastocyst stage has been observed.

This study confirmed the relationship between blood lactate levels and injury severity as well as the prognostic value of blood lactate level for survival of severely injured patients.

The study showed no clear advantage of functional foot orthoses over UM.

Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data projections showing different attribute subsets that must be evaluated by the data analyst. In this paper, we introduce a method called VizRank, which is applied on classified data to automatically select the most useful data projections. VizRank can be used with any visualization method that maps attribute values to points in a two-dimensional visualization space. It assesses possible data projections and ranks them by their ability to visually discriminate between classes. The quality of class separation is estimated by computing the predictive accuracy of k-nearest neighbor classifier on the data set consisting of x and y positions of the projected data points and their class information. The paper introduces the method and presents experimental results which show that VizRank's ranking of projections highly agrees with subjective rankings by data analysts. The practical use of VizRank is also demonstrated by an application in the field of functional genomics.

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Persons with acquired or congenital upper limb deficiency are under a heightened risk of developing overuse problems but the contributing factors are not clear, so regular individual follow-up is required.

This is the first report in which the effects of rocuronium and sugammadex interactions with dexamethasone have been studied in a highly accessible in vitro experimental model of functionally innervated human muscle cells. Sugammadex reverses rocuronium-induced neuromuscular block; however, concomitant addition of high dexamethasone concentrations diminishes the efficiency of sugammadex. Further studies are required to determine the clinical relevance of these interactions.

Background Repeated haemarthroses affect approximately 90% of patients with severe haemophilia and lead to progressive arthropathy, which is the main cause of morbidity in these patients. Diagnostic imaging can detect even subclinical arthropathy changes and may impact prophylactic treatment. Magnetic resonance imagining (MRI) is generally the gold standard tool for precise evaluation of joints, but it is not easily feasible in regular follow-up of patients with haemophilia. The development of the standardized ultrasound (US) protocol for detection of early changes in haemophilic arthropathy (HEAD-US) opened new perspectives in the use of US in management of these patients. The HEAD-US protocol enables quick evaluation of the six mostly affected joints in a single study. The aim of this prospective study was to determine the diagnostic accuracy of the HEAD-US protocol for the detection and quantification of haemophilic arthropathy in comparison to the MRI. Patients and methods The study included 30 patients with severe haemophilia. We evaluated their elbows, ankles and knees (overall 168 joints) by US using the HEAD-US protocol and compared the results with the MRI using the International Prophylaxis Study Group (IPSG) MRI score. Results The results showed that the overall HEAD-US score correlated very highly with the overall IPSG MRI score (r = 0.92). Correlation was very high for the evaluation of the elbows and knees (r ≈ 0.95), and slightly lower for the ankles (r ≈ 0.85). Conclusions HEAD-US protocol proved to be a quick, reliable and accurate method for the detection and quantification of haemophilic arthropathy.