Results 141 to 150 of about 1,410,909 (333)
Australian Occupational Therapy Journal, Volume 69, Issue 6, Page 662-675, December 2022., 2022 Abstract Background Health Promoting Activity Coaching, an intervention within the Healthy Mothers Healthy Families programme (HMHF‐HPAC), was delivered by occupational therapists in a project that assessed feasibility of this new intervention. The HMHF‐HPAC promotes the health and well‐being of mothers of children with disabilities and is a six ...
Vanessa Harris +2 more
wiley +1 more source
Machine-music in Preschool Education. How to Provide Music Experience with Classics?
Multidisciplinary Journal of School Education, 2019 Our ancestors’ cultural heritage should be passed down to all generations. This process can begin as early as the preschool age. The materials of music-listening in preschool education can be performed by the teachers.
Edit Barta-Góhér
doaj
GOYANG DANGDUT DAN REPRESENTASI IDEOLOGI DI TELEVISI
Komunika, 2015 As a genre of popular music, dangdut is part of pop culture entertainment industry. Dangdut has a "community of listeners" , in addition to obtaining maintenance and reasonable award.
Agus Rianto
doaj +1 more source
Graph theoretic aspects of music theory [PDF]
, 2001 The cycle on twelve points is a well-known representation of the twelve pitch classes of the traditional scale. We treat a more general situation where the number of pitch classes can be different from twelve and where, moreover, other measures of ...
Althuis, T.A., Göbel, F.
core +2 more sources
Meeting new expertise needs throughout careers: A group model building approach in the field of HR/D
Human Resource Development Quarterly, EarlyView.Abstract Organizational and societal transitions require workers to upskill and reskill their expertise within and across the boundaries of their current domain(s). This may also require them to materialize their renewed expertise in novel settings in interaction with stakeholders who hold different expectations regarding their know‐how and ...
Lonneke S. Frie +4 more
wiley +1 more source
M2M-Gen: A Multimodal Framework for Automated Background Music Generation in Japanese Manga Using Large Language Models [PDF]
arXivThis paper introduces M2M Gen, a multi modal framework for generating background music tailored to Japanese manga. The key challenges in this task are the lack of an available dataset or a baseline. To address these challenges, we propose an automated music generation pipeline that produces background music for an input manga book.
arxiv
From Policy to Practice: Unraveling Individual Uptake of Compressed Work Schedules
Human Resource Management, EarlyView.ABSTRACT Compressed work schedules, like full‐time 4‐day weeks, are widely advocated as promising work–life flexibility policies and attractive alternatives to female part‐time work. Yet, individual characteristics and implementation factors associated with policy use are understudied.
Kristen du Bois +3 more
wiley +1 more source
International Journal of Gynecology &Obstetrics, EarlyView.Abstract Objective Hoopicoach is a digital health tool designed to support patients throughout all stages of gynecologic surgery, including pre‐, intra‐, and postoperative phases. It offers a personalized care pathway based on the type of surgery, providing reliable medical information through easily understandable content, diagrams, a chatbot, and ...
Louise Benoit +9 more
wiley +1 more source
Quantifying the Corpus Bias Problem in Automatic Music Transcription Systems [PDF]
arXivAutomatic Music Transcription (AMT) is the task of recognizing notes in audio recordings of music. The State-of-the-Art (SotA) benchmarks have been dominated by deep learning systems. Due to the scarcity of high quality data, they are usually trained and evaluated exclusively or predominantly on classical piano music.
arxiv
A Hybrid of Deep Audio Feature and i-vector for Artist Recognition [PDF]
arXiv, 2018 Artist recognition is a task of modeling the artist's musical style. This problem is challenging because there is no clear standard. We propose a hybrid method of the generative model i-vector and the discriminative model deep convolutional neural network. We show that this approach achieves state-of-the-art performance by complementing each other.
arxiv