- Acute Ischemic Stroke Management
- Reinforcement Learning in Robotics
- Cerebrovascular and Carotid Artery Diseases
- Advanced Database Systems and Queries
- Stroke Rehabilitation and Recovery
- Multiple Sclerosis Research Studies
- Scientific Computing and Data Management
- Venous Thromboembolism Diagnosis and Management
- Hand Gesture Recognition Systems
- Evolutionary Algorithms and Applications
- Mobile and Web Applications
- Neural Networks and Applications
- Cloud Computing and Resource Management
- Neural Networks and Reservoir Computing
- Intracerebral and Subarachnoid Hemorrhage Research
- Peripheral Neuropathies and Disorders
- Human Pose and Action Recognition
- Music and Audio Processing
- Intuitionistic Fuzzy Systems Applications
- Ginkgo biloba and Cashew Applications
- Power System Reliability and Maintenance
- Neuroscience and Neuropharmacology Research
- Adversarial Robustness in Machine Learning
- Teleoperation and Haptic Systems
- Advanced Clustering Algorithms Research
University of Trnava
2007-2025
Comenius University Bratislava
2022-2025
Slovak Medical University
2024-2025
Angel Kanchev University of Ruse
2015-2024
Population Health Research Institute
2024
McMaster University
2024
Institut d'Investigació Biomèdica de Girona
2022
University of Girona
2022
Jena University Hospital
2022
AB Science (France)
2022
The autoantibodies against the NR1 subunit are well known in pathomechanism of NMDAR encephalitis. dysfunction NR2 could be a critical factor this neurological disorder due to its important role postsynaptic pathways that direct synaptic plasticity. We report case paraneoplastic anti-NMDAR encephalitis presented alongside very severe illness. Computed tomography (CT) brain, as FLAIR and T2-weighted MRI, was performed rule out any other acute brain processes. A semi-quantitative method...
Masitinib is a selective tyrosine kinase inhibitor, targeting innate immune cells (mast and microglia) that are involved in the pathophysiology of progressive multiple sclerosis (MS). Study AB07002 assessed oral masitinib patients with MS who were progressing but not clinically active.
Background: Basilar artery occlusion (BAO) is a serious disease with poor prognosis if left untreated. Endovascular therapy (EVT) the most effective treatment that able to reduce mortality and disability. Treatment results are influenced by wide range of factors have not been clearly identified. In present study, direct aspiration was chosen as first-line treatment. The safety effectiveness in BAO were determined, affecting patient outcomes Methodology: Data for patients treated between...
Automation with deep neural networks is popular topic. Personal artificial assistance, self driving cars and recommendations algorithms, they all use reinforcement learning. However, there are many question about this technology still unanswered. Can the learning process be accelerated, why sometimes automatons wrong behavior, it possible for machines teach each others. This papers try to answer those questions experiments.
Parallel dataflow engines such as Apache Hadoop, Spark, and Flink are an established alternative to relational databases for modern data analysis applications. A characteristic of these systems is a scalable programming model based on distributed collections parallel transformations expressed by means second-order functions map reduce. Notable examples Flink’s DataSet Spark’s RDD abstractions. These models realized EDSLs—domain specific languages embedded in general-purpose host language...
Parallel collection processing based on second-order functions such as map and reduce has been widely adopted for scalable data analysis. Initially popularized by Google, over the past decade this programming paradigm found its way in core APIs of parallel dataflow engines Hadoop's MapReduce, Spark's RDDs, Flink's DataSets. We review patterns typical these discuss how they relate to underlying execution model. argue that fixing abstraction leaks exposed will cost analysis due improved...
Background and Objectives: Current guidelines the alteplase product insert recommend that antithrombotic therapy be avoided within 24 h of intravenous thrombolytic with rt-PA in acute ischemic stroke. Therefore, rate stroke recurrence is unclear terms early neurological deterioration, which we could prevent administration therapy. We do not know effect after thrombolysis on outcome patients 90 days either. Design: Prospective monocentric observational cohort study. Methods: Data were...
Abstract We report on a patient who developed left arm rest/postural tremor at age 24 and responded well to trihexyphenidyl. One year later spastic paraparesis appeared, multiple sclerosis was diagnosed the basis of clinical, radiological, laboratory evidence. Although improved after immunosuppressant therapy, complete picture an asymmetric parkinsonian syndrome gradually developed. Excellent response levodopa, drug‐induced dyskinesias, DaTSCAN revealing pathology congruent with Parkinson's...
The optimal timing for initiation of dabigatran after acute ischaemic stroke (AIS) is not established. We aimed to evaluate and clinical outcomes in AIS patients with non-valvular atrial fibrillation (NVAF). Retrospective study based on prospectively collected data SITS (Safe Implementation Treatment Stroke) Thrombolysis Thrombectomy Registry from July 2014 2018. European NVAF (≥18 years) hospitalised first-ever stroke. A multinational, observational monitoring register. Dabigatran within 3...
Logical model of a portal for smart mobile application public transport schedules on the base three classes Model/View/Controller (MVC) has been described in this article. This concept based design templates, leads to greater flexibility and possibility repeated use various applications.
Although considerable progress has been made in the treatment of acute ischemic stroke (AIS), clinical outcome patients is still significantly influenced by inflammatory response that follows stroke-induced brain injury. The aim this study was to evaluate potential use complete blood count parameters, including indices and ratios, for predicting AIS undergoing mechanical thrombectomy (MT).This single-centre retrospective consisted 179 patients. Patient data demographic characteristics, risk...
Parallel dataflow APIs based on second-order functions were originally seen as a flexible alternative to SQL. Over time, however, their complexity increased due the number of physical aspects that had be exposed by underlying engines in order facilitate efficient execution. To retain sufficient level abstraction and lower barrier entry for data scientists, projects like Spark Flink currently offer domain-specific top parallel collection abstractions. This demonstration highlights benefits an...
Data organization and program realization of portal for smart mobile application public transport schedules has been presented in this article. Realization is PHP DBSM (data base system management) - MySQL's.
The paper describes the components of a hand gesture recognition system. model program implementation is described. An overview most commonly used SDK"s - Intel RealSense and OpenCV. aim to assist beginner programmer in design using this new type user interaction.
The paper presents the steps necessary to build a logical game of simulator physics type, which is inspired by game" Crazy Machines" favorite many players. A review existing solutions has been done and design through Unified Modelling Language presented. architectural model used for development an interpretation ECS (entity component system). Flexibility achieved from perspective adding removing features components during game, as well reducing volume gaming cycle centralizing logic.
Introduction: Epidemiological studies have suggested an increased vascular risk in patients with multiple sclerosis (MS). There is increasing evidence of the beneficial effects GLP-1 agonists (GLP-1a) preventing complications and slowing progression neurodegeneration. Our objective was to explore changes endothelial function MS after 12 months GLP-1a therapy. We also explored role lipoprotein subfractions antioxidant capacity plasma. Methods: were enrolled a prospective, unicentric study....
This paper presents a comprehensive examination of the advantages associated with application neuron connection pruning techniques in training Artificial Neural Networks (ANNs) within context Reinforcement Learning (RL). Our study involved rigorous experimentation through numerous Atari game simulations, focus on recording crucial metrics, including reward accumulation per episode, actions performed and computation time action. The key highlight our research is compelling discovery that...
This paper presents a comprehensive exploration of the advantages associated with utilization sparse update techniques in Artificial Neural Networks (ANNs) within context Reinforcement Learning (RL). The study leverages simulations environments featuring complex action spaces and wide state spaces, characterized by vectors dimension 128 choice 9 distinct actions. research investigates impact different frequencies ANNs when applied to RL agents these simulation environments. experimental...
Background Data on the treatment with recurrent mechanical thrombectomy of patients acute ischemic stroke large vessel occlusion are limited. We report our experience for occlusion. Methods During period between May 2013 and August 2018, data were collected. Baseline clinical characteristics, recanalization technique, rates outcomes treated analyzed. Patients compared who underwent single thrombectomy. Results study period, 7 474 (1.5%) The mean age these was 64.4 (±7.9) years, time interval...
The paper discusses the issues of microcomputer protocol implementation at local interconnect network LIN for automobile applications. This is from class A according to classification SAE and it includes one master several slave nodes. Single Chip Microcontrolers T89C51CC01 firm Atmel are used.
Purpose The aim of the present study was (i) to evaluate safety and efficacy aspiration thrombectomy in patients with M2 occlusions (ii) compare outcome treatment occlusion different segments. Materials methods Between March 2016 June 2019, 82 acute ischemic stroke isolated were treated cerebrovascular center as first-line treatment. Functional outcomes types statistically compared. Multivariable logistic regression analysis performed determine factors associated good clinical outcome....