The Correlation of Changes of the Optic Nerve Diameter in the Acute Retrobulbar Neuritis with the Brain Changes in Multiple Sclerosis

The aim of this paper is to compare diameter of healthy and affected optic nerve determined by ultrasound with brain lesions in acute retrobulbar neuritis in patients with multiple sclerosis. In this prospective study 20 patients with multiple sclerosis and acute retrobulbar neuritis were examined. Optic nerve diameter was measured by ultrasound. Brain lesions were detected by magnetic resonance. Correlation between demyelinating lesions of the brain in multiple sclerosis and optic nerve diameter was tested by Kruskal-Wallis test. Significant difference in diameter between healthy and affected optic nerve in acute retrobulbar neuritis was found. Demyelinating brain changes examined by magnetic resonance revealed periventricular lesions, subcortical lesions and lesions in corpus callosum. There is statistically significant correlation between optic nerve diameter and number of brain lesions in multiple sclerosis, p<0.05. Diameter of optic nerve in retrobulbar neuritis measured by ultrasound correlates with brain lesions detected by magnetic resonance in multiple sclerosis

Clinical sensitivity and specificity of multiple T2- hyperintensities on brain magnetic resonance imaging in diagnosis of neurofibromatosis type 1 in children: diagnostic accuracy study

Aim To determine the prevalence, number, and location of multiple (≥2) T2-hyperintensities on brain magnetic resonance imaging (MRI) in children with neurofibromatosis type 1 (NF1) and their correlation with age, and to establish their sensitivity, specificity, and accuracy for the diagnosis of NF1 in children, especially in the early age (2-7 years). Methods We performed a cross-sectional study of 162 patients with NF1 from Croatian Neurofibromatosis Association Database and 163 control children between the ages of 2 and 18 years who underwent brain MRI between 1989 and 2009. Results Multiple T2-hyperintensities were present in 74% of NF1 patients and 1.8% of controls. They were mainly located in the basal ganglia, brainstem, and cerebellum and were significantly decreased in prevalence and number in the older age. T2-hyperintensities had excellent diagnostic accuracy with the area under the receiver operating characteristic (ROC) curve of 0.849 and 95% confidence interval (CI) of 0.805-0.886. The diagnostic sensitivity, specificity, and accuracy rate of T2-hyperintensities for NF1 were highest in the youngest age (2-7 years): 81% (95% CI 71%- 89.1%), 99% (95% CI 92.3%-100%), and 85.8 (95% CI 83.3- 93.8), respectively. Conclusion This study strongly suggests the inclusion of T2-hyperintensities on brain MRI on the list of diagnostic criteria for NF1, especially in children of early age, when the clinical penetration of the NF1 gene has not yet been completely finished

Antitumor mechanisms of amino acid hydroxyurea derivatives in the metastatic colon cancer model

The paper presents a detailed study of the biological effects of two amino acid hydroxyurea derivatives – that showed selective antiproliferative effects in vitro on the growth of human tumor cell line SW620. Tested compounds induced cell cycle perturbations and apoptosis. Proteins were identified by proteomics analyses using two-dimensional gel electrophoresis coupled to mass spectrometry, which provided a complete insight into the most probable mechanism of action on the protein level. Molecular targets for tested compounds were analyzed by cheminformatics tools. Zinc-dependent histone deacetylases were identified as potential targets responsible for the observed antiproliferative effect

CGD: a cloud gaming dataset with gameplay video and network recordings

With advances in network capabilities, the gaming industry is increasingly turning towards offering “gaming on demand” solutions, with cloud gaming services such as Sony PlayStation Now, Google Stadia, and NVIDIA GeForce NOW expanding their market offerings. Similar to adaptive video streaming services, cloud gaming services typically adapt the quality of game streams (e.g., bitrate, resolution, frame rate) in accordance with current network conditions. To select the most appropriate video encoding parameters given certain conditions, it is important to understand their impact on Quality of Experience (QoE). On the other hand, network operators are interested in understanding the relationships between parameters measurable in the network and cloud gaming QoE, to be able to invoke QoE-aware network management mechanisms. To encourage developments in these areas, comprehensive datasets are crucial, including both network and application layer data. This paper presents CGD, a dataset consisting of 600 game streaming sessions corresponding to 10 games of different genres being played and streamed using the following encoding parameters: bitrate (5, 10, 20 Mbps), resolution (720p, 1080p), and frame rate (30, 60 fps). For every combination repeated five times for each game, the dataset includes: 1) gameplay video recordings, 2) network traffic traces, 3) user input logs (mouse and keyboard), and 4) streaming performance logs.The cloud gaming dataset is composed of 600 gameplay videos of 10 different games belonging to a wide range of genres. Alongside raw video files (the FRAPS application was used to losslessly record gameplay sessions), the dataset also consists of captured network traffic during these cloud gaming sessions (captured using Wireshark tool), corresponding users input (collected by MacroRecorder application), and application-level statistic summaries of sessions gathered from Steam application