Evaluation of electronic properties, molecular profiling, bioactivity score, anti-microbial activity and quantum computational studies on methyl (2E)-2-{[N-(2-formylphenyl)(4-methylbenzene)sulfonamide]methyl}-3-[4-(propan-2-yl)phenyl]prop-2-enoate

This analysis was conducted to evaluate the electronic properties and biological significance of the headline molecule.By means of DFT method, geometrical, vibrational and biological properties of the headline molecule were evaluated which is an efficient means of determining structure and has a wide range kakespade of applications in the field of

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Humorous factors and main types of humor

There are no uniform methods in the classification of types of humor.Sometimes, they are categorized according to the topic, which is not of much help in recognizing the main and artistic types of humor.Sometimes, humorous methods and the main types of humor are combined with each t jazelle bracelet other, which is a sign of impulsiveness and lack

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DisoMCS: Accurately Predicting Protein Intrinsically Disordered Regions Using a Multi-Class Conservative Score Approach.

The precise prediction of protein intrinsically disordered regions, which play a crucial role in biological procedures, is a necessary prerequisite to further the understanding of the principles and mechanisms of protein function.Here, we propose a novel predictor, DisoMCS, which is a more accurate predictor of protein intrinsically disordered regi

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Evaluation of Augmentation Methods in Classifying Autism Spectrum Disorders from fMRI Data with 3D Convolutional Neural Networks

Classifying subjects as healthy or diseased using neuroimaging data has gained a lot of attention during ellakai the last 10 years, and recently, different deep learning approaches have been used.Despite this fact, there has not been any investigation regarding how 3D augmentation can help to create larger datasets, required to train deep networks

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