224 research outputs found
Inside the robot’s mind during human-robot interaction
Humans and robots collaborating and cooperating for pursuing a shared objective need to rely on the other for carrying out an effective decision process and for updating knowledge when necessary in a dynamic environment. Robots have to behave as they were human teammates. To model the cognitive process of robots during the interaction, we developed a cognitive architecture that we implemented employing the BDI (belief, desire, intention) agent paradigm. In this paper, we focus on how to let the robot show to the human its reasoning process and how its knowledge on the work environment grows. We realized a framework whose heart is a simulator that serves the human as a window on the robot’s mind
On various parameters of Zq-simplex codes for an even integer q
In this paper, we defined the Zq-linear codes and discussed its various parameters. We constructed Zq-Simplex code and
Zq-MacDonald code and found its parameters. We have given a lower and an upper bounds of its covering radius for q is an even integer
Discovery of Novel Inhibitors for Nek6 Protein through Homology Model Assisted Structure Based Virtual Screening and Molecular Docking Approaches
Nek6 is a member of the NIMA (never in mitosis, gene A)-related serine/threonine kinase family that plays an important role in the initiation of mitotic cell cycle progression. This work is an attempt to emphasize the structural and functional relationship of Nek6 protein based on homology modeling and binding pocket analysis. The three-dimensional structure of Nek6 was constructed by molecular modeling studies and the best model was further assessed by PROCHECK, ProSA, and ERRAT plot in order to analyze the quality and consistency of generated model. The overall quality of computed model showed 87.4% amino acid residues under the favored region. A 3 ns molecular dynamics simulation confirmed that the structure was reliable and stable. Two lead compounds (Binding database ID: 15666, 18602) were retrieved through structure-based virtual screening and induced fit docking approaches as novel Nek6 inhibitors. Hence, we concluded that the potential compounds may act as new leads for Nek6 inhibitors designing
Short-term reproducibility of dipyridamole-echocardiography test.
The aim of this study was to assess the short-term reproducibility of dipyridamole-echocardiography test (DET) consisting of two-dimensional echo monitoring during dipyridamole infusion (up to 0.84 mg/kg in 10 min). The diagnostic end-point of the test is the detection of new onset or worsening regional asynergy. A group of 87 patients with rest and/or effort angina performed two DETS on two consecutive days. All 60 patients with a positive DET had a positive repeat test, and the 27 negative DETs were also negative on the following day. The timing of the asynergy was also very similar between the two tests, both in patients with angina on effort (r = .93, p less than 0.01) and at rest (r = .92, p less than 0.01). In conclusion, DET has a very high short-term reproducibility regarding the presence and timing of asynergy
Predicting alcohol-related memory problems in older adults: A machine learning study with multi-domain features
Memory problems are common among older adults with a history of alcohol use disorder (AUD). Employing a machine learning framework, the current study investigates the use of multi-domain features to classify individuals with and without alcohol-induced memory problems. A group of 94 individuals (ages 50-81 years) with alcohol-induced memory problems (the memory group) were compared with a matched control group who did not have memory problems. The random forests model identified specific features from each domain that contributed to the classification of the memory group vs. the control group (AUC = 88.29%). Specifically, individuals from the memory group manifested a predominant pattern of hyperconnectivity across the default mode network regions except for some connections involving the anterior cingulate cortex, which were predominantly hypoconnected. Other significant contributing features were: (i) polygenic risk scores for AUD, (ii) alcohol consumption and related health consequences during the past five years, such as health problems, past negative experiences, withdrawal symptoms, and the largest number of drinks in a day during the past twelve months, and (iii) elevated neuroticism and increased harm avoidance, and fewer positive uplift life events. At the neural systems level, hyperconnectivity across the default mode network regions, including the connections across the hippocampal hub regions, in individuals with memory problems may indicate dysregulation in neural information processing. Overall, the study outlines the importance of utilizing multidomain features, consisting of resting-state brain connectivity data collected ~18 years ago, together with personality, life experiences, polygenic risk, and alcohol consumption and related consequences, to predict the alcohol-related memory problems that arise in later life
Validation of an echo-Doppler decision model to predict left ventricular filling pressure in patients with heart failure independently of ejection fraction
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Formalized Conceptual Spaces with a Geometric Representation of Correlations
The highly influential framework of conceptual spaces provides a geometric
way of representing knowledge. Instances are represented by points in a
similarity space and concepts are represented by convex regions in this space.
After pointing out a problem with the convexity requirement, we propose a
formalization of conceptual spaces based on fuzzy star-shaped sets. Our
formalization uses a parametric definition of concepts and extends the original
framework by adding means to represent correlations between different domains
in a geometric way. Moreover, we define various operations for our
formalization, both for creating new concepts from old ones and for measuring
relations between concepts. We present an illustrative toy-example and sketch a
research project on concept formation that is based on both our formalization
and its implementation.Comment: Published in the edited volume "Conceptual Spaces: Elaborations and
Applications". arXiv admin note: text overlap with arXiv:1706.06366,
arXiv:1707.02292, arXiv:1707.0516
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