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

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The pleasurable urge to move to music is unchanged in people with musical anhedonia. by Isaac D Romkey, Tomas Matthews, Nicholas Foster, Simone Dalla Bella, Virginia B Penhune

“…To examine this potential separability, our study investigates the sensation of groove in people with specific musical anhedonia. Individuals with musical anhedonia have a blunted ability to derive pleasure from music but can still derive pleasure from other domains (e.g., sex and food). …”
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Direction-of-arrival estimation performance analysis of the rank reduction estimator in the presence of finite samples by Ding WANG, Hui YAO, Ying WU

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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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Playability of self-sustained musical instrument models: statistical approaches by Pégeot Martin, Colinot Tom, Doc Jean-Baptiste, Fréour Vincent, Vergez Christophe

“…Self-sustained musical instruments, such as wind or bowed string instruments, are complex nonlinear systems. …”
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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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EFFECT OF COMBINATION THERAPY PROGESSIVE MUSCLE RELAXATION AND CLASSICAL MUSIC ON REDUCING DYSMENORRHEA by Wahyu Retno Gumelar, Heny Ekawati, Afita Budya Ningrum, Yuli Setiya Ningsih, Sylvie Aprilyanti Amandha Inayatul Hayya

“…Methods: This research applied pre-experimental design (one group pre-posttest). The sample was 37 female students who were randomly obtained by using a simple random sampling. …”
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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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Music listening evokes story-like visual imagery with both idiosyncratic and shared content. by Sarah Hashim, Lauren Stewart, Mats B Küssner, Diana Omigie

“…We recruited an online sample (N = 353) who listened to three orchestral film music excerpts representing happy, tender, and fearful emotions. …”
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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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