Search Results (172)

This study examines the impact of catchment characteristics and design on the performance of urban lakes in terms of water quality and stormwater harvesting potential. Two urban lake systems in Western Sydney, Australia, were selected for comparison: Wattle Grove Lake, a standalone constructed lake, and Woodcroft Lake, part of an integrated wetland–lake system. Both systems receive runoff from surrounding residential catchments of differing sizes and land uses. Over a one-year period, continuous monitoring was conducted to evaluate water quality parameters, including turbidity, total suspended solids (TSS), nutrients (total nitrogen and total phosphorus), pH, dissolved oxygen, and biochemical oxygen demand. The results reveal that the lake with an integrated wetland significantly outperformed the standalone lake in terms of water quality, particularly in terms of turbidity and total suspended solids (TSS), achieving up to 70% reduction in TSS at the outlet compared to the inlet. The wetland served as an effective pre-treatment system, reducing pollutant loads before water entered the lake. Despite this, nutrient concentrations in both systems remained above the thresholds set by the Australian and New Zealand Environment and Conservation Council (ANZECC) Guidelines (2000), indicating persistent challenges in nutrient retention. Notably, the larger catchment area and shallow depth of Wattle Grove Lake likely contributed to higher turbidity and nutrient levels, resulting from sediment resuspension and algal growth. Hydrological modelling using the Model for Urban Stormwater Improvement Conceptualisation (MUSIC) software (version 6) complemented the field data and highlighted the influence of catchment size, hydraulic retention time, and lake depth on pollutant removal efficiency. While both systems serve important environmental and recreational functions, the integrated wetland–lake system at Woodcroft demonstrated greater potential for safe stormwater harvesting and reuse within urban settings. The findings from the study offer practical insights for urban stormwater management and inform future designs that enhance resilience and water reuse potential in growing cities. Full article

Music is an elusive phenomenon with sounds that disappear while sounding. This challenges the description of the music and its processing by the listener or performer. A possible answer to this problem lies in the definition of music as flowing sound energy that continuously modifies its substance and shape. Such an approach adheres to the materiality of sound and allows for a description of music in rheological terms. We therefore take as a starting point the analogy of music as a virtual, motional object that follows a trajectory through time, revolving around three major issues: (i) the relation between sound and motion, (ii) the description of motion or movement over time, and (iii) the embodied and enactive character of musical engagement. The paper relies mainly on historical sources—most notably the work of Alexander Truslit on motion perception and Ernst Kurth on energetics—and connects them to modern paradigms of embodied and enactive cognition as applied to music. Full article

Historical legacies of enslavement and apartheid structural violence underpin the societal fabric of Cape Town. Walking through the city of Cape Town, colonial reminders and bastions of white supremacy remain evident in statues, street names and the continued spatial apartheid present in the public space. Sites of intergenerational trauma remain scattered through the city, retraced and reclaimed through the efforts of community members, activists, artists and museums. This paper focuses on how race and memory are represented, resisted and challenged within popular culture in Cape Town, South Africa. Through considering museums and music as sites of public memory, this paper highlights how collective memory is being constructed in post-apartheid South Africa in ways that challenge white supremacist and colonial memory. Focusing on two case studies, the Iziko Slave Lodge and Youngsta CPT’s song YVR, this paper shows how colonial and apartheid conceptualisations of race are constantly being contested in post-apartheid popular culture to resist colonial memory and recreate new public memories. Full article

This discussion explores the (dis)engagement of Jamaican RastafarI from the party political process, using RastafarI elder Mortimo Planno’s notion of “politics without a party” as a strand shaping and tying together the multiple threads of the exploration. The discussion examines how RastafarI has engaged with partisan politics/political parties from Independence (1962) until today. It highlights the differing ways of approaching politics among Rastas, including the minority, who have entered representative politics in a bid to [as yet unsuccessfully] change the tribal and compromised state of Jamaican politics. The decentralized nature of the RastafarI movement allows for diverse expressions of RastafarI political thought and action, but can present challenges for unified political mobilization on a large scale. Nonetheless, with or without direct partisan involvement, RastafarI has adapted and re-presented itself in response to changes in the local and global context, thus becoming a potent political force. So, despite this general lack of engagement with “statical” matters, RastafarI is and continues to be a significant political movement on several fronts, through movements, music, and symbols rather than traditional electoral routes. Full article

(1) Background: Physical inactivity is a major public health concern in modern society. Group fitness programs are widely used to promote physical activity, combining choreographed movements with various dance steps and music. This study aimed to examine the effects of Zumba and MoFit group fitness programs on body composition parameters in women. (2) Methods: The study included 98 female participants (Mean age = 27.8 ± 2.9 years), divided into three groups: E1 (n = 33), which followed the experimental Zumba program; E2 (n = 31), which followed the experimental MoFit program; and a control group (n = 34), which continued with their usual daily activities for 10 weeks. Body composition was assessed using 14 variables measured with the InBody 270 analyser. Statistical analyses included paired t-tests, MANCOVA, and ANCOVA. (3) Results: The findings confirmed the positive effects of both group fitness programs on most body composition parameters in women (p < 0.001). However, Bonferroni post hoc test results indicated that the Zumba program led to significantly greater improvements in most body composition variables compared to the MoFit program. (4) Conclusions: Both Zumba and MoFit programs were effective in reducing body fat, increasing muscle mass, total body water, and mineral content, whereas the control group did not achieve positive changes. Full article

Artificial intelligence (AI) has emerged as a significant driving force in the development of technology and industry. It is also integrated with music as music AI in music generation and analysis. It originated from early algorithmic composition techniques in the mid-20th century. Recent advancements in machine learning and neural networks have enabled innovative music generation and exploration. This article surveys the development history and technical route of music AI, analyzes the current status and limitations of music artificial intelligence across various areas, including music generation and composition, rehabilitation and treatment, as well as education and learning. It reveals that music AI has become a promising creator in the field of music generation. The influence of music AI on the music industry and the challenges it encounters are explored. Additionally, an emotional music generation system driven by multimodal signals is proposed. Although music artificial intelligence technology still needs to be further improved, with the continuous breakthroughs in technology, it will have a more profound impact on all areas of music. Full article

Sacred choral music continues to hold a significant place in contemporary concert settings, with historical and newly composed works featuring in today’s choral programmes. Contemporary choral composers have continued to engage with the longstanding tradition of setting sacred texts to music, bringing fresh interpretations through their innovative compositional techniques and fusion of styles. Irish composer Rhona Clarke’s (b. 1958) expansive choral oeuvre includes a wealth of both sacred and secular compositions but reveals a notable propensity for the setting of sacred texts in Latin. Her synthesis of archaic and contemporary techniques within her work demonstrates both the solemn and visceral aspects of these texts, as well as a clear nod to tradition. This article focuses on Clarke’s choral work O Vis Aeternitatis (2020), a setting of a text by the medieval musician and saint Hildegard of Bingen (c. 1150). Through critical score analysis, we investigate the piece’s melodic, harmonic, and textural frameworks; the influence of Hildegard’s original chant; and the use of extended vocal techniques and contrasting vocal timbres as we articulate core characteristics of Clarke’s compositional style and underline her foregrounding of the more visceral aspects of Hildegard’s words. Clarke’s fusion of creative practices from past and present spotlights moments of dramatic escalation and spiritual importance, and exhibits the composer’s distinctive compositional voice as she reimagines Hildegard’s text for the twenty-first century. Full article

This paper presents a novel cochlear implant (CI) sound coding strategy called Spectral Feature Extraction (SFE). The SFE is a novel Fast Fourier Transform (FFT)-based Continuous Interleaved Sampling (CIS) strategy that provides less-smeared spectral cues to CI patients compared to Crystalis, a predecessor strategy used in Oticon Medical devices. The study also explores how the SFE can be enhanced into a Temporal Fine Structure (TFS)-based strategy named Spectral Event Extraction (SEE), combining spectral sharpness with temporal cues. Background/Objectives: Many CI recipients understand speech in quiet settings but struggle with music and complex environments, increasing cognitive effort. De-smearing the power spectrum and extracting spectral peak features can reduce this load. The SFE targets feature extraction from spectral peaks, while the SEE enhances TFS-based coding by tracking these features across frames. Methods: The SFE strategy extracts spectral peaks and models them with synthetic pure tone spectra characterized by instantaneous frequency, phase, energy, and peak resemblance. This deblurs input peaks by estimating their center frequency. In SEE, synthetic peaks are tracked across frames to yield reliable temporal cues (e.g., zero-crossings) aligned with stimulation pulses. Strategy characteristics are analyzed using electrodograms. Results: A flexible Frequency Allocation Map (FAM) can be applied to both SFE and SEE strategies without being limited by FFT bandwidth constraints. Electrodograms of Crystalis and SFE strategies showed that SFE reduces spectral blurring and provides detailed temporal information of harmonics in speech and music. Conclusions: SFE and SEE are expected to enhance speech understanding, lower listening effort, and improve temporal feature coding. These strategies could benefit CI users, especially in challenging acoustic environments. Full article

Music learning can provide students with significant emotional and educational benefits, including stress relief, increased confidence, self-expression, brain development, enhanced attention, and perseverance. Despite these advantages, many students perceive music lessons as less important and tend to pay less attention in music classrooms. Consequently, motivation plays a crucial role for both teachers and students in facilitating an effective teaching and learning process in music education. Although motivation is generally understood as a student’s desire to engage in the learning process, it remains a complex concept that researchers and educators continue to explore across various educational contexts. This study aimed to review students’ motivation for classroom music by analyzing research from different studies in music education. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, 27 studies were reviewed and included. The findings identified four theoretical constructs related to motivation in classroom music: expectancy–value theory, self-determination theory, mastery motivation, and achievement goal theory. Among these, the first two were most commonly discussed across the reviewed studies. All the reviewed studies employed self-reported questionnaires as their primary assessment tools. Most studies indicated that girls demonstrated higher motivation levels than boys in music classrooms. Additionally, the findings emphasized that teachers’ instructional strategies are critical for enhancing students’ motivation. This study contributes to the field of music education by highlighting the pivotal role of teacher strategies in fostering motivation and by providing a comprehensive review of motivational theories, assessment tools, and gender-related motivational differences in music education. Full article

Music therapy in paediatric palliative care offers a unique opportunity for emotional support, legacy creation, and therapeutic connection for children and their families. This paper describes the Heartbeats Intervention, as delivered by a paediatric palliative care music therapist at Sydney Children’s Hospital Australia. This intervention involves recording and creatively integrating the heartbeats of children and family members into personalised musical compositions. Originally inspired by music therapist Brian Schreck’s work, the intervention has evolved to meet diverse therapeutic goals, from soothing children with serious illnesses (including cancer) with recordings of their families’ heartbeats to creating legacy song tracks that support families through bereavement. Despite some logistical and resource challenges, the intervention has been well-received and continues to expand, including the integration of environmental soundscapes and broader community involvement, which allows the intervention to be experienced by a greater number of families. This paper contributes to the limited but growing literature on music therapy in paediatric palliative care, highlighting the Heartbeats Intervention as a flexible and meaningful way to enhance psychosocial support and connection for children and their families. Further research to evaluate its long-term impact and to explore children’s direct experiences of the intervention is needed. Full article

The development of a Spanish musical profile questionnaire, designed to assess both objective aspects of musical engagement and psychological dimensions, represents a significant advancement in the fields of music psychology and music education. Grounded in prior research and created by experts in music education, this instrument offers a comprehensive portrait of musicians by capturing their training, experience, and psychological characteristics. A total of 261 musicians, ranging in age from 16 to 61 years, were recruited through incidental sampling to complete the questionnaire. The final version encompasses both objective indicators of musical dedication and a psychological profile scale. The psychometric evaluation of the scale supported a robust three-factor model comprising “Musical Self-Perception”, “Personal Cost of Music”, and “Existential Contribution of Music”. The 10-item scale demonstrated acceptable internal consistency, along with strong criterion and convergent validity, affirming the instrument’s reliability. The discussion regarding the inclusion or exclusion of items related to theoretical content reflects an evidence-based approach aimed at continuous refinement of the tool. Furthermore, the identification of future directions, including exploration of additional psychological dimensions and potential adaptations for diverse cultural or educational contexts, underscores a forward-looking commitment to the ongoing development and applicability of the questionnaire. Full article

Music, movies, books, pictures, and other media can change a user’s emotions, which are important factors in recommending appropriate items. As users’ emotions change over time, the content they select may vary accordingly. Existing emotion-based content recommendation methods primarily recommend content based on the user’s current emotional state. In this study, we propose a continuous music recommendation method that adapts to a user’s changing emotions. Based on Thayer’s emotion model, emotions were classified into four areas, and music and user emotion vectors were created by analyzing the relationships between valence, arousal, and each emotion using a multiple regression model. Based on the user’s emotional history data, a personalized mental model (PMM) was created using a Markov chain. The PMM was used to predict future emotions and generate user emotion vectors for each period. A recommendation list was created by calculating the similarity between music emotion vectors and user emotion vectors. To prove the effectiveness of the proposed method, the accuracy of the music emotion analysis, user emotion prediction, and music recommendation results were evaluated. To evaluate the experiments, the PMM and the modified mental model (MMM) were used to predict user emotions and generate recommendation lists. The accuracy of the content emotion analysis was 87.26%, and the accuracy of user emotion prediction was 86.72%, an improvement of 13.68% compared with the MMM. Additionally, the balanced accuracy of the content recommendation was 79.31%, an improvement of 26.88% compared with the MMM. The proposed method can recommend content that is suitable for users. Full article

Sleep disturbance is common among people with cognitive impairment and, when present, is an important target for intervention because it potentially leads to negative outcomes and cognitive decline. Given this association, sleep represents a potential public health target, although evidence for efficacy is lacking. For this study, a systematic review and meta-analysis was undertaken of controlled clinical trials of pharmacological and non-pharmacological interventions to improve sleep in mild cognitive impairment and dementia. A total of 144 trials involving 13,471 participants (median 50 per trial) were included. To measure sleep, 68 trials used subjective measures exclusively, and 41 used only objective measures, while 35 used a combination. In all, 287 discrete sleep outcome measures were reported. Bright light therapy was the most frequently examined non-pharmacological intervention, but results were equivocal. Other non-pharmacological interventions (such as physical activity, cognitive behavioural therapy for insomnia, music, and continuous positive airway pressure) showed promise but require further evidence. Results for melatonin, the most frequently examined pharmacological intervention, were inconclusive, but lower doses may be more effective. Other pharmacological interventions (such as trazadone and orexin-receptor antagonists) demonstrated effectiveness in a small number of trials but require further evidence. Overall, there is insufficient evidence upon which to base clinical decisions regarding the treatment of sleep disturbance in this population. Existing research is marked by wide heterogeneity, which limits opportunities for data synthesis. A core outcome set is urgently required to ensure that future research provides more coherent and reliable evidence to improve outcomes for people with cognitive impairment and sleep disturbance. Full article

Background: Listening to music has been widely reported to improve resistance exercise performance. However, few studies have considered lyrical content. The act of using explicit language has been shown to alter performance and psychophysiological responses to exercise. Although explicit language is widely used in mainstream music, it is unknown if altering explicit lyric content in music influences performance and psychophysiological responses to resistance exercise. Thus, the purpose of this study was to investigate the effects of censoring explicit lyrical music on bench press performance and psychophysiological responses to exercise. Methods: In a counterbalanced crossover manner, resistance-trained males (n = 11) were subjected to two conditions, namely (1) explicit music (EM) or (2) censored music (CM). Following a warm-up, music played continuously as participants completed 2 sets × 2 repetitions as explosively as possible, while a linear position transducer monitored the mean velocity of the barbell. Participants then completed 3 sets × repetitions to failure (RTFs) at 60% of a 1-repetition maximum (1-RM) separated by 2 min of rest. Motivation to exercise, psychological arousal, and rating of perceived exertion (RPE) were measured post-exercise. Total RTFs, mean velocity, motivation, psychological arousal, and RPE were compared between music conditions. Results: Findings show that total RTFs (p = 0.012) was significantly lower with CM versus EM, while mean velocity (p = 0.844) was not different between conditions. Psychological arousal (p = 0.005) and motivation (p = 0.002) were lower with CM versus EM. CM also resulted in a higher RPE (p = 0.011) compared to EM. Conclusions: Findings suggest that CM results in worse repetition volume compared to EM during resistance exercise but does not influence explosive ability. Changes in performance may be due to underlying decreases in motivation and psychological arousal. CM may also cause less dissociation, as evidenced by a higher RPE. Future research investigating the effects of lyrical content on exercise performance is warranted to further support current findings. Full article

Due to its fast processing time and robustness against harsh environmental conditions, the frequency modulated continuous waveform (FMCW) multiple-input multiple-output (MIMO) radar is widely used for target localization. For high-accuracy localization, the two-dimensional multiple signal classification (2D MUSIC) algorithm can be applied to signals received by a single FMCW MIMO radar, achieving high-resolution positioning performance. To further enhance estimation accuracy, received signals or MUSIC spectra from multiple FMCW MIMO radars are often collected at a data fusion center and processed coherently. However, this approach increases data communication overhead and implementation complexity. To address these challenges, we propose an efficient high-resolution target localization algorithm. In the proposed method, the target position estimates from multiple FMCW MIMO radars are collected and combined using a weighted averaging approach to determine the target’s position within a unified coordinate system at the data fusion center. We first analyze the achievable resolution in the unified coordinate system, considering the impact of local parameter estimation errors. Based on this analysis, weights are assigned according to the achievable resolution within the unified coordinate framework. Notably, due to the typically limited number of antennas in FMCW MIMO radars, the azimuth angle resolution tends to be relatively lower than the range resolution. As a result, the achievable resolution in the unified coordinate system depends on the placement of each FMCW MIMO radar. The performance of the proposed scheme is validated using both synthetic simulation data and experimentally measured data, demonstrating its effectiveness in real-world scenarios. Full article