A5014141585- Doping in Sports
- Behavioral Health and Interventions
- Complex Network Analysis Techniques
- Identification and Quantification in Food
- Hormonal and reproductive studies
- Bioinformatics and Genomic Networks
- Distributed Control Multi-Agent Systems
- UAV Applications and Optimization
- Food Safety and Hygiene
- Neural dynamics and brain function
- Opinion Dynamics and Social Influence
- Functional Brain Connectivity Studies
- Survey Sampling and Estimation Techniques
- Modular Robots and Swarm Intelligence
- Micro and Nano Robotics
- Mental Health Research Topics
- Visual perception and processing mechanisms
- Data-Driven Disease Surveillance
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Transportation Planning and Optimization
- HIV, Drug Use, Sexual Risk
- Biomedical Text Mining and Ontologies
- Traffic control and management
- Machine Learning in Bioinformatics
Budapest University of Technology and Economics
2008-2023
Molde University College
2016-2018
Kingston University
2008-2017
Eötvös Loránd University
2010-2015
Royal Holloway University of London
2009-2012
Hungarian Academy of Sciences
2006-2012
University of California, Los Angeles
2012
Institute for Particle and Nuclear Physics
2006-2008
Andrássy University Budapest
2007
HUN-REN Institute for Nuclear Research
2007
Cellular processes often depend on stable physical associations between proteins. Despite recent progress, knowledge of the composition human protein complexes remains limited. To close this gap, we applied an integrative global proteomic profiling approach, based chromatographic separation cultured cell extracts into more than one thousand biochemical fractions that were subsequently analyzed by quantitative tandem mass spectrometry, to systematically identify a network 13,993...
A flocking model that uses an evolutionary optimization framework is validated with a self-organized swarm of 30 drones.
A major bottleneck in our understanding of the molecular underpinnings life is assignment function to proteins. While experiments provide most reliable annotation proteins, their relatively low throughput and restricted purview have led an increasing role for computational prediction. However, assessing methods protein prediction tracking progress field remain challenging.We conducted second critical assessment functional (CAFA), a timed challenge assess that automatically assign function....
We consider the problem of fuzzy community detection in networks, which complements and expands concept overlapping structure. Our approach allows each vertex graph to belong multiple communities at same time, determined by exact numerical membership degrees, even presence uncertainty data being analyzed. created an algorithm for determining optimal degrees with respect a given goal function. Based on we introduce new measure that is able identify outlier vertices do not any communities,...
We present the first decentralized multi-copter flock that performs stable autonomous outdoor flight with up to 10 flying agents. By and we mean all members navigate themselves based on dynamic information received from other robots in vicinity. do not use central data processing or control; instead, necessary computations are carried out by miniature on-board computers. The only global system exploits is GPS receivers, while units wireless modules share this positional locally. Collective...
Efforts for drug free sport include developing a better understanding of the behavioural determinants that underline doping with an increased interest in anti-doping prevention and intervention programmes. Empirical testing both is dominated by self-report questionnaires, which most widely used method psychological assessments sociology polls. Disturbingly, potential distorting effect socially desirable responding (SD) seldom considered research, or dismissed based on weak correlation...
Animal swarms displaying a variety of typical flocking patterns would not exist without the underlying safe, optimal and stable dynamics individuals. The emergence these universal can be efficiently reconstructed with agent-based models. If we want to reproduce artificial systems, such as autonomous aerial robots, models also used in their control algorithms. However, finding proper algorithms thus understanding essential characteristics emergent collective behaviour requires thorough...
SUMMARY With the aim of identifying novel regulators host and nonhost resistance to fungi in rice, we carried out a systematic mutant screen mutagenized lines. Two wrky22 knockout lines revealed clear‐cut enhanced susceptibility both virulent avirulent Magnaporthe oryzae strains altered cellular responses grisea Blumeria graminis fungi. In addition, analysis pathogen 24 overexpressor OsWRKY22 phenotypes on infection with M. strain, confirming that is involved rice blast. Bioinformatic...
Abstract Motivation: Several measures have been recently proposed for quantifying the functional similarity between gene products according to well-structured controlled vocabularies where biological terms are organized in a tree or directed acyclic graph (DAG) structure. However, existing semantic ignore two important facts. First, when calculating terms, they disregard descendants of these terms. While this makes no difference ontology is tree, we shall show that it has consequences...
The relationships between projected use, self-reported behavior and attitudes to performance-enhancing (PED) recreational (RD) drugs were investigated among 82 competitive Hungarian athletes, with 14.6% admitting using PED 31.7% RD. Both the observed doping estimations (even those made by non-users) self-admitted use considerably higher than average rate of positive tests (2% all tests). notable overestimation users (34.6% vs 16.9%) was in keeping false consensus effect. A prediction model...
package for Mathematica (Wolfram Research, Inc., 2022).IGraph/M serves as the Wolfram Language interfaces to igraph C library (Csárdi et al.,
Abstract We explored the cortical pathways from primary somatosensory cortex to visual (V1) by analysing connectional data in macaque monkey using graph‐theoretical tools. Cluster analysis revealed close relationship of dorsal stream and sensorimotor cortex. It was shown that prefrontal area 46 parietal areas VIP 7a occupy a central position between different clusters visuo‐tactile network. Among these structures all shortest paths (3a, 1 2) V1 pass through then reach via MT, V3 PO....
The 'False Consensus Effect' (FCE), by which people perceive their own actions as relatively common behaviour, might be exploited to gauge whether a person engages in controversial such performance enhancing drug (PED) use.It is assumed that people's owing the FCE, affects estimation of prevalence behaviour. It further hypothesised person's estimate PED population use reliable indicator doping behaviour person, lieu self-reports.Over- or underestimation calculated from investigating known...
An important problem in genomics is the automatic inference of groups homologous proteins from pairwise sequence similarities. Several approaches have been proposed for this task which are "local" sense that they assign a protein to cluster based only on distances between and other set. It was shown recently global methods such as spectral clustering better performance wide variety datasets. However, currently available implementations mostly consist few loosely coupled Matlab scripts assume...
Understanding athletes' attitudes and behavioural intentions towards performance enhancement is critical to informing anti-doping intervention strategies. Capturing the complexity of these beyond verbal declarations requires indirect methods. This pilot study was aimed at developing validating a method assess implicit doping using an Implicit Associations Test (IAT) approach. The conventional IAT evaluation task (categorising 'good' 'bad' words) combined with novel 'doping' versus 'nutrition...
Background Social science studies of doping practices in sport rely predominantly on self-reports. Studies psychoactive drug use indicate that self-reporting is characterised by under-reporting. Likewise practice likely to be equally under-reported, if not more so. This calls for sophisticated methods such reporting and independent, objective validation its results. The aims this study were: i) contrast self-reported with results from chemical hair analysis ii) investigate the influence...
Background Social psychology research on doping and outcome based evaluation of primary anti-doping prevention intervention programmes have been dominated by self-reports. Having confidence in the validity reliability such data is vital. Methodology/Principal Findings The sample 82 athletes from 30 sports (52.4% female, mean age: 21.48±2.86 years) was split into quasi-experimental groups i) self-admitted previous experience with prohibited performance enhancing drugs (PED) ii) presence at...
An advantage of randomised response and non-randomised models investigating sensitive issues arises from the characteristic that individual answers about discriminating behaviour cannot be linked to individuals. This study proposed a new fuzzy model coined 'Single Sample Count' (SSC) estimate prevalence or embarrassing in epidemiologic studies. The SSC was tested compared established Forced Response (FR) estimating Mephedrone use. Estimations both FR were then corroborated with qualitative...