المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/journal_contribution/Summary_of_experimental_designs_built_for_regression_models_with_type_and_number_of_independent_features_for_each_model_/24661163Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s002Test
https://figshare.com/articles/journal_contribution/Summary_of_experimental_designs_built_for_regression_models_with_type_and_number_of_independent_features_for_each_model_/24661163Test

المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/journal_contribution/Demographic_breakdown_of_our_data_according_to_gender_and_age_/24661160Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s001Test
https://figshare.com/articles/journal_contribution/Demographic_breakdown_of_our_data_according_to_gender_and_age_/24661160Test

المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/journal_contribution/Model_significance_ANOVA_between_all_and_best_feature_models_/24661172Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s004Test
https://figshare.com/articles/journal_contribution/Model_significance_ANOVA_between_all_and_best_feature_models_/24661172Test

المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/journal_contribution/Complete_classification_results_/24661166Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s003Test
https://figshare.com/articles/journal_contribution/Complete_classification_results_/24661166Test

المؤلفون: Andrea Frosolini, Giulio Badin, Flavia Sorrentino, Davide Brotto, Nicholas Pessot, Francesco Fantin, Federica Ceschin, Andrea Lovato, Nicola Coppola, Antonio Mancuso, Luca Vedovelli, Gino Marioni, Cosimo de Filippis

المصدر: Sensors, Vol 22, Iss 22, p 8770 (2022)

مصطلحات موضوعية: cochlear implant, hearing loss, music rehabilitation, PRO measures, NCIQ, MuRQoL, Chemical technology, TP1-1185

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/1424-8220/22/22/8770Test; https://doaj.org/toc/1424-8220Test

الوصول الحر: https://doaj.org/article/8c564dbf22bf4da38ddaa8eb226dfd7cTest

المؤلفون: Frosolini, Andrea, Badin, Giulio, Sorrentino, Flavia, Brotto, Davide, Pessot, Nicholas, Fantin, Francesco, Ceschin, Federica, Lovato, Andrea, Coppola, Nicola, Mancuso, Antonio, Vedovelli, Luca, Marioni, Gino, de Filippis, Cosimo

المساهمون: Frosolini, Andrea, Badin, Giulio, Sorrentino, Flavia, Brotto, Davide, Pessot, Nichola, Fantin, Francesco, Ceschin, Federica, Lovato, Andrea, Coppola, Nicola, Mancuso, Antonio, Vedovelli, Luca, Marioni, Gino, de Filippis, Cosimo

مصطلحات موضوعية: MUSQUAV, MuRQoL, NCIQ, PRO measure, cochlear implant, hearing lo, music rehabilitation

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/36433364; info:eu-repo/semantics/altIdentifier/wos/WOS:000887516400001; volume:22; issue:22; firstpage:8770; journal:SENSORS; https://hdl.handle.net/11577/3470832Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85142741423

الإتاحة: https://doi.org/10.3390/s22228770Test
https://hdl.handle.net/11577/3470832Test

المؤلفون: Verna V., De Bartolo D., Iosa M., Fadda L., Pinto G., Caltagirone C., De Angelis S., Tramontano M.

المساهمون: Verna, V., De Bartolo, D., Iosa, M., Fadda, L., Pinto, G., Caltagirone, C., De Angelis, S., Tramontano, M.

مصطلحات موضوعية: cognitive rehabilitation, mismatch, music rehabilitation, stroke

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/32741789; info:eu-repo/semantics/altIdentifier/wos/WOS:000574863700012; volume:47; issue:2; firstpage:201; lastpage:208; numberofpages:8; journal:NEUROREHABILITATION; http://hdl.handle.net/11573/1465349Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85091956735

الإتاحة: https://doi.org/10.3233/NRE-203126Test
http://hdl.handle.net/11573/1465349Test

المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/figure/Significant_correlations_i_ps_i_5_3_x_10_sup_5_sup_for_the_Individualising_and_Binding_moral_super-foundations_/24661175Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s005Test
https://figshare.com/articles/figure/Significant_correlations_i_ps_i_5_3_x_10_sup_5_sup_for_the_Individualising_and_Binding_moral_super-foundations_/24661175Test

المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/figure/Feature_importance_for_the_Individualising_and_Binding_moral_super-foundations_/24661181Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s006Test
https://figshare.com/articles/figure/Feature_importance_for_the_Individualising_and_Binding_moral_super-foundations_/24661181Test

المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/figure/Complete_Spearman_correlations_between_MFT_traits_and_pitch_features_/24661193Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s009Test
https://figshare.com/articles/figure/Complete_Spearman_correlations_between_MFT_traits_and_pitch_features_/24661193Test