AI-assisted Piano Music Composition: Innovative Approaches and Practical Explorations
VOLUME 21, 2024
The Role of Targeted Infra-popliteal Endovascular Angioplasty to Treat Diabetic Foot Ulcers Using the Angiosome Model: A Systematic Review
VOLUME 6, 2023
MingXiao Liu
School of Music and Dance, Hechi University, Hechi, 546300, Guangxi , China
School of Music and Dance, Hechi University, Hechi, 546300, Guangxi , China
HuiLing Wei
School of Music and Dance, Hechi University, Hechi, 546300, Guangxi , China
School of Music and Dance, Hechi University, Hechi, 546300, Guangxi , China
Abstract
AI-assisted can save the cost and time used in piano music composition, and AI composition techniques are categorized into deconstruction, classification, and reconstruction, as well as three common models. In this paper, Markov model is chosen to compose piano music, describing pitch and duration, level, note duration, converting key and duration, and establishing piano melody, harmony and rhythm Markov modeling process. Setting up the test server and experimental software to train the Markov model so that it generates new piano music and completes the creation of piano music. The analysis shows that the piano music created by AI is more in line with the user's needs, the melody of AI piano music is more attractive can score about 8.3 points, and 86% of the users think that the piano melody created by AI is more fluent, at about 8.3 points. It has a high degree of emotional expressiveness and recognizability, and can meet the public's music aesthetic, so that the listener has a sense of immersion.
Keywords :
Ai-Assisted; Piano Music Composition; Markov Model; Piano Melody; Music Aesthetics.
Erin Saricilar
Lecture in accounting. University of Basrah, College of Administration and Economics, Department of Accounting.
Lecture in accounting. University of Basrah, College of Administration and Economics, Department of Accounting.
Abstract
Atherosclerotic disease significantly impacts patients with type 2 diabetes, who often present with recalcitrant peripheral ulcers. The angiosome model of the foot presents an opportunity to perform direct angiosome-targeted endovascular interventions to maximise both wound healing and limb salvage. A systematic review was performed, with 17 studies included in the final review. Below-the-knee endovascular interventions present significant technical challenges, with technical success depending on the length of lesion being treated and the number of angiosomes that require treatment. Wound healing was significantly improved with direct angiosome-targeted angioplasty, as was limb salvage, with a significant increase in survival without major amputation. Indirect angioplasty, where the intervention is applied to collateral vessels to the angiosomes, yielded similar results to direct angiosome-targeted angioplasty. Applying the angiosome model of the foot in direct angiosome-targeted angioplasty improves outcomes for patients with recalcitrant diabetic foot ulcers in terms of primary wound healing, mean time for complete wound healing and major amputation-free survival.
Keywords :
Diabetic foot ulcer, angiosome, angioplasty