Hasil untuk "Dancing"

Ganghui Cao, Xunyuan Yin

This paper proposes distributed omniscient observers for both heterogeneous and homogeneous linear multi-agent systems, such that each agent can correctly estimate the states of all agents. The observer design is based on local input-output information available to each agent, and knowledge of the global communication graph among agents is not necessarily required. The proposed observers can contribute to distributed Nash equilibrium seeking in multi-player games and the emergence of self-organized social behaviors in artificial swarms. Simulation results demonstrate that artificial swarms can emulate animal social behaviors, including sheepdog herding and honeybee dance-based navigation.

Inés Turmo Moreno

The rise of pantomime ballet in Spain took place during the last decade of the 18th century at the Caños del Peral theatre in Madrid. This theatre and its dance company were directed by the Italian Domenico Rossi, trained at the theatre of San Carlo in Naples and at the court of Vienna under the tutelage of Gasparo Angiolini. In the National Library of Spain there is a valuable musical source entitled Airs de Ballet, which consists in a collection of music from choreographic works dating from the end of the 18th century, undoubtedly of Italian origin. This work contains different musical pieces, including parts of the ballet Des Jeux Amoreux and the ballet La Caccia di Enrico IV.  The choreo-musical analysis of Airs de ballet and other musical scores located in Spain opens up new perspectives for the investigation of pantomime ballet in Spain and its relationship with the choreographic style in Italy.

Xiao-xiao Tang, Peng Wang, Yu Rong et al.

The spin of galaxy clusters encodes key information about their formation, dynamics, and the influence of large-scale structure. However, whether clusters possess statistically significant spin and how to measure it observationally remain open questions. Here, we present the first observational, statistical detection of coherent spin in galaxy clusters, using two samples of 2,170 and 1,329 systems with $M > 10^{14}\,M_\odot$, selected from two publicly available group catalogs (\citet{2017A&A...602A.100T} and \citet{2012ApJ...752...41Y}) constructed with two different algorithms and but both based primarily on SDSS galaxies. Cluster spin is quantified by identifying the orientation in the projected plane that maximizes the redshift difference ($ΔZ_{\rm max}$) between member galaxies in two regions divided by a trial axis. We find compelling statistical evidence for coherent rotation, as the observed $ΔZ_{\rm max}$ distribution departs markedly from the randomized controls, exhibiting pronounced deviations near $380\,\mathrm{km\,s^{-1}}$. Stacked visualizations confirm the spatial segregation of redshifted and blueshifted galaxies across the rotation axis. The radial profile of the rotational velocity indicates that it increases as a function of radius. The cluster rotation speed increases with mass, from $\sim360~\mathrm{km\,s}^{-1}$ at $10^{14} M_\odot$ to $\sim693~\mathrm{km\,s}^{-1}$ at $10^{15} M_\odot$. Additionally, cluster spin tends to align parallel with the central galaxy spin and perpendicular to the nearest cosmic filament, particularly in richer systems. These results reveal significant coherent spin in galaxy clusters, shaped by both internal dynamics and large-scale structure.

Jingyu Zhang, Haozhu Wang, Eric Michael Smith et al.

Harnessing the power of LLMs requires a delicate dance between being helpful and harmless. This creates a fundamental tension between two competing challenges: vulnerability to adversarial attacks that elicit unsafe content, and a tendency for overrefusal on benign but sensitive prompts. Current approaches often navigate this dance with safeguard models that completely reject any content that contains unsafe portions. This approach cuts the music entirely-it may exacerbate overrefusals and fails to provide nuanced guidance for queries it refuses. To teach models a more coordinated choreography, we propose WaltzRL, a novel multi-agent reinforcement learning framework that formulates safety alignment as a collaborative, positive-sum game. WaltzRL jointly trains a conversation agent and a feedback agent, where the latter is incentivized to provide useful suggestions that improve the safety and helpfulness of the conversation agent's responses. At the core of WaltzRL is a Dynamic Improvement Reward (DIR) that evolves over time based on how well the conversation agent incorporates the feedback. At inference time, unsafe or overrefusing responses from the conversation agent are improved rather than discarded. The feedback agent is deployed together with the conversation agent and only engages adaptively when needed, preserving helpfulness and low latency on safe queries. Our experiments, conducted across five diverse datasets, demonstrate that WaltzRL significantly reduces both unsafe responses (e.g., from 39.0% to 4.6% on WildJailbreak) and overrefusals (from 45.3% to 9.9% on OR-Bench) compared to various baselines. By enabling the conversation and feedback agents to co-evolve and adaptively apply feedback, WaltzRL enhances LLM safety without degrading general capabilities, thereby advancing the Pareto front between helpfulness and harmlessness.

Haim Sawdayee, Chuan Guo, Guy Tevet et al.

Text-to-motion generative models span a wide range of 3D human actions but struggle with nuanced stylistic attributes such as a "Chicken" style. Due to the scarcity of style-specific data, existing approaches pull the generative prior towards a reference style, which often results in out-of-distribution low quality generations. In this work, we introduce LoRA-MDM, a lightweight framework for motion stylization that generalizes to complex actions while maintaining editability. Our key insight is that adapting the generative prior to include the style, while preserving its overall distribution, is more effective than modifying each individual motion during generation. Building on this idea, LoRA-MDM learns to adapt the prior to include the reference style using only a few samples. The style can then be used in the context of different textual prompts for generation. The low-rank adaptation shifts the motion manifold in a semantically meaningful way, enabling realistic style infusion even for actions not present in the reference samples. Moreover, preserving the distribution structure enables advanced operations such as style blending and motion editing. We compare LoRA-MDM to state-of-the-art stylized motion generation methods and demonstrate a favorable balance between text fidelity and style consistency.

Zhang Xiaofeng, Aaron Courville, Michal Drozdzal et al.

Text-to-image (T2I) models offer great potential for creating virtually limitless synthetic data, a valuable resource compared to fixed and finite real datasets. Previous works evaluate the utility of synthetic data from T2I models on three key desiderata: quality, diversity, and consistency. While prompt engineering is the primary means of interacting with T2I models, the systematic impact of prompt complexity on these critical utility axes remains underexplored. In this paper, we first conduct synthetic experiments to motivate the difficulty of generalization with regard to prompt complexity and explain the observed difficulty with theoretical derivations. Then, we introduce a new evaluation framework that can compare the utility of real data and synthetic data, and present a comprehensive analysis of how prompt complexity influences the utility of synthetic data generated by commonly used T2I models. We conduct our study across diverse datasets, including CC12M, ImageNet-1k, and DCI, and evaluate different inference-time intervention methods. Our synthetic experiments show that generalizing to more general conditions is harder than the other way round, since the former needs an estimated likelihood that is not learned by diffusion models. Our large-scale empirical experiments reveal that increasing prompt complexity results in lower conditional diversity and prompt consistency, while reducing the synthetic-to-real distribution shift, which aligns with the synthetic experiments. Moreover, current inference-time interventions can augment the diversity of the generations at the expense of moving outside the support of real data. Among those interventions, prompt expansion, by deliberately using a pre-trained language model as a likelihood estimator, consistently achieves the highest performance in both image diversity and aesthetics, even higher than that of real data.

Zhuodi Cai, Ziyu Xu, Juan Pampin

We introduce a lightweight, real-time motion recognition system that enables synergic human-machine performance through wearable IMU sensor data, MiniRocket time-series classification, and responsive multimedia control. By mapping dancer-specific movement to sound through somatic memory and association, we propose an alternative approach to human-machine collaboration, one that preserves the expressive depth of the performing body while leveraging machine learning for attentive observation and responsiveness. We demonstrate that this human-centered design reliably supports high accuracy classification (<50 ms latency), offering a replicable framework to integrate dance-literate machines into creative, educational, and live performance contexts.

Hajra Anwar Beg, Baptiste Chopin, Hao Tang et al.

We present ReactionMamba, a novel framework for generating long 3D human reaction motions. Reaction-Mamba integrates a motion VAE for efficient motion encoding with Mamba-based state-space models to decode temporally consistent reactions. This design enables ReactionMamba to generate both short sequences of simple motions and long sequences of complex motions, such as dance and martial arts. We evaluate ReactionMamba on three datasets--NTU120-AS, Lindy Hop, and InterX--and demonstrate competitive performance in terms of realism, diversity, and long-sequence generation compared to previous methods, including InterFormer, ReMoS, and Ready-to-React, while achieving substantial improvements in inference speed.

Chaozhuo Li, Pengbo Wang, Chenxu Wang et al.

Edgar Allan Poe noted, "Truth often lurks in the shadow of error," highlighting the deep complexity intrinsic to the interplay between truth and falsehood, notably under conditions of cognitive and informational asymmetry. This dynamic is strikingly evident in large language models (LLMs). Despite their impressive linguistic generation capabilities, LLMs sometimes produce information that appears factually accurate but is, in reality, fabricated, an issue often referred to as 'hallucinations'. The prevalence of these hallucinations can mislead users, affecting their judgments and decisions. In sectors such as finance, law, and healthcare, such misinformation risks causing substantial economic losses, legal disputes, and health risks, with wide-ranging consequences.In our research, we have methodically categorized, analyzed the causes, detection methods, and solutions related to LLM hallucinations. Our efforts have particularly focused on understanding the roots of hallucinations and evaluating the efficacy of current strategies in revealing the underlying logic, thereby paving the way for the development of innovative and potent approaches. By examining why certain measures are effective against hallucinations, our study aims to foster a comprehensive approach to tackling this issue within the domain of LLMs.

Nikšić Naka K.

Until the 1970s, women in the Novi Pazar region partied separately from men. On that occasion, in accordance with the customs of this environment, they could only be cheered by women who played the def [tambourine]. This instrument was accompanied by singing and playing during posedak/poijelo [evening visit to friends], džumbus [party], krna [a party where a girl prepares for marriage by painting parts of her body]. This form of music disappeared over time, but in the last twenty years, it has been revived and today it is an essential element of socalled bachelorette parties. Contemporary scientific findings indicate that the contents of the culture in which the student grows up have a significant place in teaching. Since women's playing on the def in the Novi Pazar region is little known to the public and has not been evaluated as a teaching content to date, we decided to analyze the structure of the def, the way and forms of music playing in the context of customs, and point out its methodological applicability through a theoretical analysis of the relevant literature. The aim of the work is to improve the teaching of musical culture in Serbia and preserve this element of intangible culture. The descriptive method and content analysis technique were used in the research. In the paper, it was established that the singing and dancing of women in the Novi Pazar area accompanied by def is a methodically applicable content in the area of listening to music in all grades of primary school, while in the fields of man and music and musical instruments is applicable in the fifth grade of elementary school. In accordance with the goals of the program and modern trends - content integration and intercultural education - teachers were given specific guidelines for processing this music content. Namely, singing and dancing of women accompanied by def can be integrated within the subject (between areas), but also outside the subject Music - with the contents of Nature and society (the way of life of people and their customs in the region where the student lives) and the Language (folk songs). Also, through the processing of this content in areas where the majority of Serbs and/or other national minorities live, students, in addition to mastering musical issues, would get to know each other and be guided to understand the culture of Bosniaks living in Serbia, which leads to intercultural education. We hope that with this work we will improve the teaching of musica in Serbia and contribute to the preservation of this form of music.

Jacky C. P. Chan, Howard Leung, Jeff K. T. Tang et al.

Jorge Ramírez-Ruiz, Dmytro Grytskyy, Chiara Mastrogiuseppe et al.

Abstract Most theories of behavior posit that agents tend to maximize some form of reward or utility. However, animals very often move with curiosity and seem to be motivated in a reward-free manner. Here we abandon the idea of reward maximization and propose that the goal of behavior is maximizing occupancy of future paths of actions and states. According to this maximum occupancy principle, rewards are the means to occupy path space, not the goal per se; goal-directedness simply emerges as rational ways of searching for resources so that movement, understood amply, never ends. We find that action-state path entropy is the only measure consistent with additivity and other intuitive properties of expected future action-state path occupancy. We provide analytical expressions that relate the optimal policy and state-value function and prove convergence of our value iteration algorithm. Using discrete and continuous state tasks, including a high-dimensional controller, we show that complex behaviors such as “dancing”, hide-and-seek, and a basic form of altruistic behavior naturally result from the intrinsic motivation to occupy path space. All in all, we present a theory of behavior that generates both variability and goal-directedness in the absence of reward maximization.

Marie Quiblier

Revisiting pieces from the history of dance with children involves the challenge of adapting the original works, both during the recreation process and at the moment of the performance with the audience. Including children in our performances, both concretely and metaphorically, the reenactment prompts a (re)evaluation of the criteria that define what constitutes a choreographic work. From the original piece to its recreation, from adults to children, from professional to amateur, we will examine, through two exemplary cases, the norms that shape our perspectives and influence our discourses.

Yufei Sun, Hui Liu

BackgroundA large number of studies have found that the musculoskeletal injury of modern and contemporary dancers has a high incidence. Previous publications have indicated that there are many potential factors that are related to dancing injury; however, they have not been proven, and even some data are conflicting in different research.ResultsThe search yielded 18 prospective studies reporting on professional and pre-professional modern or contemporary dancers from companies and schools. The prevalence of modern and contemporary dancers was 0.82 (95% CI: 0.74~0.90). The injury proportion of trauma, overuse, ankle and foot, lower extremity, joint and ligaments, muscle and tendons, and time-loss were 0.40, 0.26, 0.49, 0.34, 0.33, and 0.29 in the total number of injuries. There was no evidence of a significant difference in sex, age, and education program. The factors of BMI and injury history achieved statistical significance, and the p-values were less than 0.01.ConclusionBased on the results of this article, BMI and injury history may be risk factors for injury in contemporary and modern dancers. Modern and contemporary dancers have a high prevalence of musculoskeletal injuries. Lower extremity injuries are the most common in the whole body, with injuries to the foot and ankle being more frequent. The mechanism of injury is mostly overuse injury, and the injured tissues are mostly muscle tendons and joint ligaments.

Ivan Mouraviev

What happens when a music scene’s spaces of performing, socialising and dancing—including venues, radio stations, record stores and internet forums—are reconfigured online? When the scene in question gravitates around extreme sub-bass and the sound systems that reproduce it, how exactly does that scene take shape on the internet? This article addresses these questions by presenting a digital ethnography conducted with Real Heads, a dubstep-centric music community on the social media platform Discord established in 2019. The analysis focuses on a weekly broadcast of DJ sets by Real Heads hosted on the livestreaming site Twitch. I explore how this communal project, born out of COVID-19, reworks the space and sociality of early or so-called “real” dubstep (when the genre first emerged in London in 2001–6) through inherited musical practices and regimes of subcultural capital, particularly from pirate and internet radio. In doing so, the article wrestles with the tensions between the (im)material space of the internet and the community’s investment in dubstep’s sonics, heritage and performance practices. I argue that Real Heads represents a novel form of DJ culture that warrants critical attention, and ultimately show how the group’s online performances afford potent affective experience outside the physical space and visceral materiality of traditional sound system events: materiality that, at first glance, should be non-negotiable for “real” dubstep heads.

Tekla Fruzsina TÓTH, Puskás Andrea LENTÉNÉ

Dancing, similarly to all sports, requires excellent stamina and mobility. It improves physical performance, sense of rhythm, mental and psychological development, and shapes personality. Our research examined dance's effect on high school students' fitness status. Our goal was to explore the role of dance education within school frameworks in developing individual abilities and skills. Therefore, we examined the effect of school dance programs on fitness and compared the outcome with the results of students who only participated in daily physical education classes. Furthermore, we studied the effect of folk dance on the performance of students who have dance and physical education classes at school. During our research, we carried out the NETFIT (National Uniform Student Fitness Test) test, as well as an online survey at three schools: Ferenc Medgyessy Grammar School and Vocational Technical School in Debrecen, at Nyíregyháza Art Vocational High School and Esze Tamás Grammar School in Mátészalka. The students of these schools participated in three different exercise programs. The members of the first group had dance classes only, the students of the second group took part in physical education classes besides dancing, and those in the third group did not participate in any form of dance movement at school. The research results show that dance, besides its influence on personality development, has a beneficial effect on fitness and is essential in creating a healthy lifestyle. The outcome of the tests proves that students who, in addition to physical education, participate in a dance exercise program reach significantly higher performance and fitness levels. The results also highlight that many students participating in the dance program choose some kind of sports activity outside school as a hobby.

J. Tyson, Kathy Chen, B. Novák

Anik Juwariyah, Trisakti Trisakti, Fithriyah Inda Nur Abida

Langen Tayub is a traditional performing art commonly found in agrarian society in Indonesia. It is a form of cultural heritage that should be protected and preserved. This study aims to determine the conservation method of langen tayub through the creativities done by waranggana (langen tayub dancers). This study employs a descriptive qualitative approach with data collection techniques used were observation, interview, and documentation. The study found that waranggana’s creativity covers all facets of the performance from dressing, singing, dancing, and engaging the audience. The development of langen tayub through waranggana’s creativity provides a vantage point from which to assess two broader currents in traditional and modern Javanese culture; the customs, rituals, and social structures that have been passed down through generations that coexist and interact with contemporary influences. This creativity has not only contributed significantly to the continuation and preservation of langen tayub performing art, but further preserves rural community life which is full of gratitude, togetherness, and harmony among the community and nature.

D. Helbing

A fluid-dynamic description for the collective movement of pedestrians is developed on the basis of a Boltzmann-like gas-kinetic model. The differences between these pedestrian-specific equations and those for ordinary fluids are worked out; they concern, for example, the mechanism of relaxation to equilibrium, the role of "pressure,'' the special influence of internal friction, and the origin of "temperature.'' Some interesting results are derived that can be compared to real situations--for example, the development of walking lanes and of pedestrian jams, the propagation of waves, and behavior on a dance floor. Possible applications of the model to town- and traffic-planning are outlined. Language: en

M. Useem