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We propose an intracranial electroencephalography (iEEG) based algorithm for detecting epileptic seizures with short latency, and with identifying the most relevant electrodes. Our algorithm first extracts three features, namely mean amplitude, line length, and local binary patterns that are fed to an ensemble of classifiers using hyperdimensional (HD) computing. These features are embedded into an HD space where well-defined vector-space operations are used to construct prototype vectors representing ictal (during seizures) and interict

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Prevalence of good mental health ended up being expressed as percentage with 95% self-confidence period. Link between the full total 245 adolescents interviewed, practically half of them belonged into the age bracket of mid-adolescence (14-16 years). Majority (66.5%) had been kids and more than 1 / 3rd were studying in additional course. Prevalence of good mental health was 51.8% (95% CI 45.6-58.1). Mommy's education between major and secondary (aPR-0.77 95% CI 0