Hasil untuk "Recreation leadership. Administration of recreation services"

Zhezheng Hao, Hong Wang, Jian Luo et al.

Large Language Model agents are reshaping the industrial landscape. However, most practical agents remain human-designed because tasks differ widely, making them labor-intensive to build. This situation poses a central question: can we automatically create and adapt domain agents in the wild? While several recent approaches have sought to automate agent creation, they typically treat agent generation as a black-box procedure and rely solely on final performance metrics to guide the process. Such strategies overlook critical evidence explaining why an agent succeeds or fails, and often require high computational costs. To address these limitations, we propose ReCreate, an experience-driven framework for the automatic creation of domain agents. ReCreate systematically leverages agent interaction histories, which provide rich concrete signals on both the causes of success or failure and the avenues for improvement. Specifically, we introduce an agent-as-optimizer paradigm that effectively learns from experience via three key components: (i) an experience storage and retrieval mechanism for on-demand inspection; (ii) a reasoning-creating synergy pipeline that maps execution experience into scaffold edits; and (iii) hierarchical updates that abstract instance-level details into reusable domain patterns. In experiments across diverse domains, ReCreate consistently outperforms human-designed agents and existing automated agent generation methods, even when starting from minimal seed scaffolds.

Xiaru Meng, Yulan Ju, Yan He et al.

Live cultural experiences like concerts generate shared physiological arousal among audience members, a collective resonance that contributes to their emotional power. Recreating such experiences in virtual reality therefore requires not just audiovisual fidelity, but reproduction of this physiological dimension. Yet current VR evaluation methods rely on post-hoc self-reports that interrupt immersion and cannot capture moment-to-moment arousal dynamics. We propose cross-temporal physiological synchrony as an unobtrusive methodology for evaluating VR cultural recreations: measuring how closely a VR participant's arousal patterns align with those of the original live audience. In a two-phase study, we recorded electrodermal activity from 40 live concert attendees, then created three VR recreations with varying abstraction levels (realistic 360-degree video, mixed video-plus-visualization, and fully abstract physiological representations) and measured synchrony with 22 laboratory participants using Dynamic Time Warping. Contrary to assumptions favoring realism, abstract visualizations achieved the strongest synchrony with live audiences. During musical climaxes, the abstract condition maintained correlation while realistic video showed none. These findings suggest that abstract physiological representations may be more effective than realistic footage for evoking authentic collective engagement in VR cultural recreations.

Lidia Guadalupe Corona Álvarez, Silvestre Flores Gamboa

En el marco de la sostenibilidad sociocultural es ineludible la importancia de preservar la diversidad cultural y promover el desarrollo sostenible en las comunidades latinoamericanas. Este estudio se planteó identificar y documentar la organización ejidal, las estructuras de gobierno y las prácticas de ecoturismo en el ejido El Palmito, Concordia, Sinaloa, México. El diseño metodológico fue de alcance exploratorio descriptivo bajo una perspectiva cualitativa, apoyada en el paradigma hermenéutico y el estudio de caso, observación directa, revisión de literatura y tres entrevistas semiestructuradas a integrantes de un comité. Los principales hallazgos testificaron que la organización ejidal contribuye en la preservación de los recursos naturales, la toma de decisiones y sus diversas acciones se planifican en torno a la práctica del ecoturismo. La gobernanza se distinguió en la equidad colectiva en tanto los miembros son portadores de voz y voto, las fuertes redes de colaboración de tipo gremial que se dieron dentro del comité, así como destacadas relaciones de tipo puente y vínculos con otras organizaciones no gubernamentales. Se evidenció la viabilidad de prácticas turísticas sostenibles en zonas rurales y el fortalecimiento de los lazos comunitarios, de sus tradiciones y prácticas culturales. El estudio amplió el conocimiento científico de un área escasamente investigada.

Yiming Zhao, Dewen Guo, Zhouhui Lian et al.

To bridge the gap between artists and non-specialists, we present a unified framework, Neural-Polyptych, to facilitate the creation of expansive, high-resolution paintings by seamlessly incorporating interactive hand-drawn sketches with fragments from original paintings. We have designed a multi-scale GAN-based architecture to decompose the generation process into two parts, each responsible for identifying global and local features. To enhance the fidelity of semantic details generated from users' sketched outlines, we introduce a Correspondence Attention module utilizing our Reference Bank strategy. This ensures the creation of high-quality, intricately detailed elements within the artwork. The final result is achieved by carefully blending these local elements while preserving coherent global consistency. Consequently, this methodology enables the production of digital paintings at megapixel scale, accommodating diverse artistic expressions and enabling users to recreate content in a controlled manner. We validate our approach to diverse genres of both Eastern and Western paintings. Applications such as large painting extension, texture shuffling, genre switching, mural art restoration, and recomposition can be successfully based on our framework.

Rie Kamikubo, Hernisa Kacorri, Chieko Asakawa

Engaging in recreational activities in public spaces poses challenges for blind people, often involving dependency on sighted help. Window shopping is a key recreational activity that remains inaccessible. In this paper, we investigate the information needs, challenges, and current approaches blind people have to recreational window shopping to inform the design of existing wayfinding and navigation technology for supporting blind shoppers in exploration and serendipitous discovery. We conduct a formative study with a total of 18 blind participants that include both focus groups (N=8) and interviews for requirements analysis (N=10). We find that there is a desire for push notifications of promotional information and pull notifications about shops of interest such as the targeted audience of a brand. Information about obstacles and points-of-interest required customization depending on one's mobility aid as well as presence of a crowd, children, and wheelchair users. We translate these findings into specific information modalities and rendering in the context of two existing AI-infused assistive applications: NavCog (a turn-by-turn navigation app) and Cabot (a navigation robot).

Alfonso Zepeda Arce, Alberto Reyes González, Andrés Enrique Reyes González

Diversas ciudades alrededor del mundo son ejemplo de cómo el arte (Bilbao, Londres) y en particular los distritos creativos (Miami, Ciudad de México) han sido agentes dinamizadores e impulsores del desarrollo turístico, que han fortalecido y creado nuevas oportunidades de negocio. Puerto Vallarta, ciudad turística del estado de Jalisco, centro y motor de desarrollo de la zona, destino del litoral de desarrollo tradicional no planificado que ha hecho del turismo base de su economía, es un destino maduro que requiere de diversificación y nuevos agentes dinamizadores del turismo. El objetivo del presente trabajo es desplegar la conceptualización territorial que definen las características principales del Distrito del arte de Puerto Vallarta, a partir de un análisis sociodemográfico y económico de la zona centro de la ciudad, el cual brindaría una nueva vida diversificando la oferta cultural existente y convirtiéndose en una alternativa complementaria a la oferta tradicional de sol y playa. Algunas de las conclusiones es que se observa que hay una construcción permanente de una economía creativa en el distrito del arte de Puerto Vallarta. Sin embargo, se carece de una política del gobierno municipal, estatal y federal para apoyar la consolidación de estas empresas creativas convirtiendo se una debilidad

Andrii Voshchepynets, Oleksiy Agapitov, Lynn Wilson et al.

We present the results of processing the effects of the powerful Gamma Ray Burst GRB221009A captured by the charged particle detectors (electrostatic analyzers and solid-state detectors) onboard spacecraft at different points in the heliosphere on October 9, 2022. To follow the GRB221009A propagation through the heliosphere we used the electron and proton flux measurements from solar missions Solar Orbiter and STEREO-A; Earth magnetosphere and the solar wind missions THEMIS and Wind; meteorological satellites POES15, POES19, MetOp3; and MAVEN - a NASA mission orbiting Mars. GRB221009A had a structure of four bursts: less intense Pulse 1 - the triggering impulse - was detected by gamma-ray observatories at 131659 UT (near the Earth); the most intense Pulses 2 and 3 were detected on board all the spacecraft from the list, and Pulse 4 detected in more than 500 s after Pulse 1. Due to their different scientific objectives, the spacecraft, which data was used in this study, were separated by more than 1 AU (Solar Orbiter and MAVEN). This enabled tracking GRB221009A as it was propagating across the heliosphere. STEREO-A was the first to register Pulse 2 and 3 of the GRB, almost 100 seconds before their detection by spacecraft in the vicinity of Earth. MAVEN detected GRB221009A Pulses 2, 3, and 4 at the orbit of Mars about 237 seconds after their detection near Earth. By processing the time delays observed we show that the source location of the GRB221009A was at RA 288.5 degrees, Dec 18.5 degrees (J2000) with an error cone of 2 degrees

Zahra Ghadiri, Afra Mashhadi, Marc Timme et al.

The COVID-19 pandemic and the resulting economic recession negatively affected many people's physical, social, and psychological health and has been shown to change population-level mobility, but little attention has been given to park visitations as an indicator. Estimating the frequency of park visitations from aggregated mobility data of all the parks in Washington State (USA), we study trends in park use one year prior to and two years during the COVID-19 pandemic. Our findings indicate that the gravity model is a robust model for the park visitation behavior in different spatial resolutions of city level and state level and different socio-economical classes. Incorporating network structure, our detailed analysis highlights that high-income level residents changed their recreational behavior by visiting their local parks more and a broader recreational options outside of their local census area; whereas the low-income residents changed their visitation behavior by reducing their recreational choices.

Aristeidis Zachos, Christos-Nikolaos Anagnostopoulos

Preserving and safeguarding the Cultural Heritage (CH) of our world from unforeseen hazards should be viewed as a collective responsibility for humanity. Consequently, there is a growing imperative for targeted measures aimed at conserving, rejuvenating, and safeguarding historical assets that carry cultural significance. In recent times, Terrestrial Laser Scanning (TLS), Unmanned Aerial Vehicle (UAV) Photogrammetry, and applications in Mixed Reality (MR) have assumed a pivotal role in the mapping, recording, preservation, and promotion of Cultural Heritage. This ar-ticle endeavors to present a comprehensive approach spanning from 3D surveying to the 3D representation and promotion of Religious Cultural Heritage, offering an overview of the applied methodologies. Through the integration of TLS and UAV photogrammetry techniques, a comprehensive digital record of Panagia Ekatontapyliani, the adjoining Church of Agios Nikolaos, and the Baptistery, along with their wall paintings (hagiographies) and natural surroundings, has been obtained. This record serves as the foundation for historical documentation and recreation using the HBIM concept, paving the way for the development of diverse Mixed Reality applications. These applications aim to enhance the visibility, accessibility, and visitability of the Monument.

Zhenyu Dai, Ben Moews, Ricardo Vilalta et al.

Physics-informed neural networks have emerged as a coherent framework for building predictive models that combine statistical patterns with domain knowledge. The underlying notion is to enrich the optimization loss function with known relationships to constrain the space of possible solutions. Hydrodynamic simulations are a core constituent of modern cosmology, while the required computations are both expensive and time-consuming. At the same time, the comparatively fast simulation of dark matter requires fewer resources, which has led to the emergence of machine learning algorithms for baryon inpainting as an active area of research; here, recreating the scatter found in hydrodynamic simulations is an ongoing challenge. This paper presents the first application of physics-informed neural networks to baryon inpainting by combining advances in neural network architectures with physical constraints, injecting theory on baryon conversion efficiency into the model loss function. We also introduce a punitive prediction comparison based on the Kullback-Leibler divergence, which enforces scatter reproduction. By simultaneously extracting the complete set of baryonic properties for the Simba suite of cosmological simulations, our results demonstrate improved accuracy of baryonic predictions based on dark matter halo properties, successful recovery of the fundamental metallicity relation, and retrieve scatter that traces the target simulation's distribution.

Shahriar Jeddy, Mohammad Reza Mashayekh, Ali Rostami

In Iran, there has been a quantitative and qualitative increase in online businesses in recent years. However, despite the daily growth of virtual business networks, Iranian consumers regrettably do not have the confidence in such businesses that should be expected, but are still willing to buy products in person through traditional channels; financial transaction values, as well as the number of Internet users, were reported to be very low compared to developed countries. Therefore, the objective of the study was to investigate and verify what factors affect trust in buying online products. Considering the objective, the study was an applied descriptive research method with an analytical approach. The Theory of Planned Behaviour (TPB) model was used to analyse the data using Partial Least Squares (PLS) Structural Equation Modelling (SEM). The sample size for the study was 71 individuals who were screened through an online survey of PNU (Payame Noor University) students. The reliability of the questionnaire was examined using Cronbach's alpha. The results showed that there was a statistically positive significance between lack of integrity, lack of benevolence, lack of competence, and intention to trust. Meanwhile, the intention to trust was statistically significant with purchase intention. Consequently, it was suggested that e-tailers should try to improve the dimensions of their trustworthiness for ecustomers.

Mohammed Bahutair, Athman Bouguettaya, Azadeh Ghari Neiat

We introduce the concept of adaptive trust in crowdsourced IoT services. It is a customized fine-grained trust tailored for specific IoT consumers. Usage patterns of IoT consumers are exploited to provide an accurate trust value for service providers. A novel adaptive trust management framework is proposed to assess the dynamic trust of IoT services. The framework leverages a novel detection algorithm to obtain trust indicators that are likely to influence the trust level of a specific IoT service type. Detected trust indicators are then used to build service-to-indicator model to evaluate a service's trust at each indicator. Similarly, a usage-to-indicator model is built to obtain the importance of each trust indicator for a particular usage scenario. The per-indicator trust and the importance of each trust indicator are utilized to obtain an overall value of a given service for a specific consumer. We conduct a set of experiments on a real dataset to show the effectiveness of the proposed framework.

Goda Lukoseviciute , Luís Nobre Pereira

Recently coastal tourism has increased dashingly, however, it has negatively affected environmental, social and cultural sustainability. Algarve is the most touristic place in Portugal with a large number of beautiful beaches. Due to negative tourism impacts and climate change, coastal tourism management tools need to be assessed and implemented. Most beach areas have the dual mandate of conserving natural resources as well as providing opportunities for recreation and tourism. This paper aims identify off-peak season beach user profiles and segment them according to their priorities for sustainable beach management in the face of climate change and seasonality balance. An urban, rural, resort and remote beach types were chosen at Albufeira municipality as case studies. A cluster analysis was applied to survey data collected through 200 face-to-face interviews. The survey aimed to get beach visitor’s opinion of beach environment, services and quality attributes´ importance. Cluster analyses have resulted in four beach user profiles: passive nature-lovers, senior consumerists, outliers and young and active environmentalists. The results provide valuable information and insights both for academics and for beach managers, who can adjust management according to the clustered markets and their preferences.

P. Kalinowski, D. Jerszyński, M. Nowakowska

Purpose: At the highest level of the competition, the players tend to have a comprehensive motor, technical-tactical and mental preparation. It is assumed that in the training process of young players, speed is an important factor determining sports success. Therefore, the aim of the study was to try to compare the speed abilities indicator of young footballers during the summer and winter preparatory period. Material and methods: The research was conducted in July 2019 and January 2020 in Poznań. The research subject consisted of 23 young players of the Warta Poznań club in the age category of the junior football players (U14). Results: The results were statistically processed, basic descriptive characteristics were made, the normality of the distribution of differences was checked using the Shapiro-Wilk test, and the collected results from two tests dates were compared using the Student's t-test for dependent samples. Based on the the conducted research, no significant change in the starting speed level was observed at the distance of 5 meters and 15 meters, while an improvement in the level of speed abilities in terms of locomotion at the distance of 30 meters was noted. Conclusions. The level of running speed at a distance of 30 meters in the tested competitors changed in the six-month preparation cycle. There was no change in the starting speed level over the distance of 5 and 15 meters in the competition season between the preparatory period and the end of the autumn round in the competitors of the Poznań Warta club. On the basis of the conducted research, it is worth conducting experimental research based on individualized speed training on a group of 13 - 14 year old players.

Zijian Shi, John Cartlidge

The limit order book (LOB) depicts the fine-grained demand and supply relationship for financial assets and is widely used in market microstructure studies. Nevertheless, the availability and high cost of LOB data restrict its wider application. The LOB recreation model (LOBRM) was recently proposed to bridge this gap by synthesizing the LOB from trades and quotes (TAQ) data. However, in the original LOBRM study, there were two limitations: (1) experiments were conducted on a relatively small dataset containing only one day of LOB data; and (2) the training and testing were performed in a non-chronological fashion, which essentially re-frames the task as interpolation and potentially introduces lookahead bias. In this study, we extend the research on LOBRM and further validate its use in real-world application scenarios. We first advance the workflow of LOBRM by (1) adding a time-weighted z-score standardization for the LOB and (2) substituting the ordinary differential equation kernel with an exponential decay kernel to lower computation complexity. Experiments are conducted on the extended LOBSTER dataset in a chronological fashion, as it would be used in a real-world application. We find that (1) LOBRM with decay kernel is superior to traditional non-linear models, and module ensembling is effective; (2) prediction accuracy is negatively related to the volatility of order volumes resting in the LOB; (3) the proposed sparse encoding method for TAQ exhibits good generalization ability and can facilitate manifold tasks; and (4) the influence of stochastic drift on prediction accuracy can be alleviated by increasing historical samples.

Edoh Y. Amiran, Joni S. James Charles

The consumers' willingness to pay plays an important role in economic theory and in setting policy. For a market, this function can often be estimated from observed behavior -- preferences are revealed. However, economists would like to measure consumers' willingness to pay for some goods where this can only be measured through stated valuation. Confirmed convergence of valuations based on stated preferences as compared to valuations based on revealed preferences is rare, and it is important to establish circumstances under which one can expect such convergence. By building a simple probabilistic model for the consumers' likelihood of travel, we provide an approach that should make comparing stated and revealed preferences easier in cases where the preference is tied to travel or some other behavior whose cost can be measured. We implemented this approach in a pilot study and found an estimate of willingness to pay for visiting an environmentally enhanced recreational site based on actual travel in good agreement with an estimate based on a survey using stated preferences. To use the probabilistic model we used population statistics to adjust for the relevant duration and thus compare stated and revealed responses.

Sepideh Baghaee, Saeed Nosratabadi, Farshid Aram et al.

Retail centers can be considered as places for interactional and recreational activities and such social roles of retail centers contribute to the popularity of the retail centers. Therefore, the main objective of this study was to identify effective factors encouraging customers to engage with interactional activities and measure how these factors affect customer behavior. Accordingly, two hypotheses were raised illustrating that the travel time (i.e., the time it takes for a customer to reach the retail center) and the variety of shops (in a retail center) increase the percentage of people who spend their leisure time and recreational activities retail centers. Two case studies were conducted in two analogous retail centers, one in Tehran, Iran, and the other in Madrid, Spain. According to the results, there is an interaction between the travel time and the motivation for the presence of people in the retail center. Furthermore, the results revealed that half of both retail center goers who spend more than 10 minutes to reach the retail centers prefer to do leisure activities and browsing than shopping. In other words, the longer it takes a person to get to the center, the more likely he/she is to spend more time in the mall and do more leisure activities. It is also found that there is a significant relationship between the variety of shops in a retail center and the motivation of customers attending a retail center that encourages people to spend their leisure time in retail centers.

Angélica María Arriola Miranda, Rafael Fuentes García

El Santuario Histórico de Machu Picchu (SHM), elemento del patrimonio histórico material del Perú, declarado Patrimonio Mundial por la Unesco, es sin duda uno de los principales atractivos turísticos de Sudamérica; el cual, soporta una alta presión turística, problemas de saturación y riesgo de impacto en su conservación. En el presente trabajo, se realiza una auditoría del nivel de calidad en la gestión turística del sitio utilizando el método Delphi. Se obtiene la visión de dos tipos de especialistas: académico y profesional en el sector turístico, sobre medidas para atenuar la situación descrita y así plantear lineamientos que tengan como fin mejorar la competitividad turística. Se requiere conocer los puntos de vista y propuestas de los investigadores universitarios y gestores de empresas turísticas con relación al futuro del SHM. Las conclusiones de la investigación, en función de la originalidad de sus objetivos y metodología, son de interés para la gestión de este patrimonio mundial.

Babar Shahzaad, Athman Bouguettaya, Sajib Mistry

We propose a novel game-theoretic approach for drone service composition considering recharging constraints. We design a non-cooperative game model for drone services. We propose a non-cooperative game algorithm for the selection and composition of optimal drone services. We conduct several experiments on a real drone dataset to demonstrate the efficiency of our proposed approach.

John Rafael M. Antalan

In this article, we give a particular recreational application of the sequence A000533 and A261544 in "The On-line Encyclopedia of Integer Sequences" (OEIS). The recreational application provides a direct extension to "The Repetitious Number" puzzle of Martin Gardner contained in The Second Scientific American Book of Mathematical Puzzles and Diversions published in 1961. We then provide a generalization to the repetitious number puzzle and give a related puzzle as an illustrative example. Finally, as a consequence of the generalization, we define a family of sequence in which the sequences A000533 and A261544 belong.