Evolution of sample-based music authorship network by Dongju Park, Juyong Park

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The influence of music tempo on consumer behavior at grocery stores by Inna Septyowati, Atyanti Dyah Prabaswari, Amarria Dila Sari, Hari Purnomo, Ade Irawan

“…Music is the art of sound arranged in such a way as to produce beautiful rhythms, melodies and harmonies. …”
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The Effect of Music on the Happiness of Turkman Elderly in Day Care Centers by Zahra Sabzi, Razieh Saffar, Fatemeh Mehravar, Hamideh Mancheri

“…The intervention consisted of 12 group music therapy sessions, each lasting 45-50 minutes, three times a week, involving the playing of happy Turkman music. …”
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Feature Extraction and Classification of Music Content Based on Deep Learning by Qianqiu Shi, Young Chun Ko

“…To study the use of in-depth training in extracting and classifying the content of music samples, the work offers an algorithm for identifying and classifying musical genres based on a deep network of beliefs, enabling it to be used to extract and classify traditional Chinese musical instruments, and using real-world experiments to test its performance after training. …”
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MEL-IRIS: An Online Tool for Audio Analysis and Music Indexing by Dimitrios Margounakis, Dionysios Politis, Konstantinos Mokos

“…The tool is network-oriented and can be installed in audio servers, in order to manipulate large music collections. Several samples from world music have been tested and processed, in order to demonstrate the possible uses of such an analysis.…”
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DENTAL SERVICES – TO FEAR OR NOT TO FEAR? THE EFFECT OF MUSIC ON PAIN PERCEPTIONS by Ancuța REMETE, Laura BACALI, Marcel Ciprian POP, Brîndușa Mariana BEJAN, Monica BOGDAN, Andrei PICOȘ

“…Subjects in G2 were exposed to music without prior notice, study participants in G3 knew the experimental protocol, and those in G4 selected their own music. …”

Music Distraction among Young Drivers: Analysis by Gender and Experience by Carlos A. Catalina, Susana García-Herrero, Elvira Cabrerizo, Sixto Herrera, Santiago García-Pineda, Fatemeh Mohamadi, M. A. Mariscal

“…To achieve this aim, employing Bayesian networks, the study analysed different music styles, in which they resulted in sample drivers’ speed infractions. …”
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Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm by Yang Jiao

“…In order to improve the feature extraction effect of digital music and improve the efficiency of music retrieval, this paper combines digital technology to analyze music waveforms, extract music features, and realize digital processing of music features. …”
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Music therapy influence in the reduction of moderately high blood pressure figures by Frank Miguel Hernández Velázquez, Belén de la Caridad Santiesteban Rodríguez, Raúl Javier Pizarro Hechevarría

“…Among the alternatives for its treatment, music therapy is effective together with pharmacological treatment.…”
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Music and Rhymes as Mechanisms for ECCE Learners’ Socio-emotional Intelligence Development by Avosuahi Deborah Arasomwan, Glynnis Daries

“…Future research can explore the impact of music on children’s socio-emotional development in different contexts and investigate the effectiveness of music-based interventions in supporting children’s all-around development.…”
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EVALUATION OF AN INDUCTIVE STRATEGY OF TEACHING MUSIC AND PROGRAMMING TO PRIMARY SCHOOL STUDENTS by Marius Bănuț, Ion Albulescu

“…In this framework, the students assimilated notions of music notation and formed concepts specific to music education starting from practical exercise, generating sounds electronically using programming languages and the Sonic Pi application, improvising melodies to learn through discovery the variability of sound parameters and reproducing songs from the children's universe, starting from their musical sheets and solving problems of fitting the qualities of sounds into a series of musical notation elements, based on the audio feedback obtained. …”
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Channel Parameter Estimation for Scatter Cluster Model Using Modified MUSIC Algorithm by Jinsheng Yang, Xuzhao Wu, Qing Wang

“…Furthermore, the estimations’ performance increases with elements of receive array and samples length. Thus, the problem of the channel parameter estimation of the scatter cluster model can be effectively addressed with the proposed modified MUSIC algorithm.…”
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Moderate-Intensity Exercise and Musical Co-Treatment Decreased the Circulating Level of Betatrophin by Hendra Susanto, Ahmad Taufiq, Sugiharto, Desiana Merawati, Khumaira Marsyidah Badu, Jerry Dwi Trijoyo Purnomo, Adeodatus Yuda Handaya

“…Interestingly, our data show that MIE decreased the circulating level of betatrophin combined with music (12.47 ± 0.40 ng/mL) compared with that without musical co-treatment (20.81 ± 1.16 ng/mL) and high-intensity exercise (26.91 ± 2.23 ng/mL). …”
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Automatic Classification Method of Music Genres Based on Deep Belief Network and Sparse Representation by Lina Pan

“…Combined with the classification algorithm of sparse representation, for the training samples of sparse representation music genre, the sparse solution is obtained by using the minimum norm, the sparse representation of test vector is calculated, the category of training samples is judged, and the automatic classification of music genre is realized. …”
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An opportunistic observational study of hospital switchboard hold messages, hold music and time spent waiting by Jordan P. Skittrall, Mary D. Fortune

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Move Analysis of Awards Acceptance Speeches in The 22nd Vodafone Ghana Music Awards Ceremony by John York-Williams, Joseph Benjamin Archibald Afful, Emmanuel Mensah Bonsu

“…To this end, this paper sought to examine the generic structure of the AASs of Ghanaian musicians in the 22nd Vodafone Ghana Music Awards Ceremony. 20 AASs were sampled for the study. …”
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Move Analysis of Awards Acceptance Speeches in The 22nd Vodafone Ghana Music Awards Ceremony by John York-Williams, Joseph Benjamin Archibald Afful, Emmanuel Mensah Bonsu

“…To this end, this paper sought to examine the generic structure of the AASs of Ghanaian musicians in the 22nd Vodafone Ghana Music Awards Ceremony. 20 AASs were sampled for the study. …”
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Automating airborne pollen classification: Identifying and interpreting hard samples for classifiers by Manuel Milling, Simon D.N. Rampp, Andreas Triantafyllopoulos, Maria P. Plaza, Jens O. Brunner, Claudia Traidl-Hoffmann, Björn W. Schuller, Athanasios Damialis

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Digital technologies in music education. Using Digital Audio Workstations (DAW) with Project-Based Learning (PBL) by María Elena Cuenca-Rodríguez, Ignacio Pascual-Moltó, Raquel Pastor-Prada

“…BandLab and Walk Band are two mobile and web-based applications that let users create and record their own songs, providing them with a variety of virtual instruments, samples, loops and drum machines. These applications can be used as educational tools to encourage musical learning and creativity in secondary and higher education students. …”
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Fractional amplitude of low-frequency fluctuations during music-evoked autobiographical memories in neurotypical older adults by Teresa Lesiuk, Kaitlyn Dillon, Giulia Ripani, Ioannis Iliadis, Gabriel Perez, Bonnie Levin, Xiaoyan Sun, Roger McIntosh

“…In addition to a T1 structural scan, neuroimaging data were collected while participants listened to familiar music (MEAM retrieval) versus unfamiliar music.ResultsWhen listening to familiar compared to unfamiliar music, greater fALFF activation patterns were observed in the right parahippocampal gyrus, controlling for age and GMV. …”
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