Hasil untuk "Recreation leadership. Administration of recreation services"

Shuyao Wu, Delong Li, Zhonghao Zhang

Urban parks play a vital role in delivering various essential ecosystem services that significantly contribute to the well-being of urban populations. However, there is quite a limited understanding of how people value these ecosystem services differently. Here, we investigated the relationships among nine ecosystem service demands in urban parks across China using a large-scale survey with 20,075 responses and a point-allotment experiment. We found particularly high preferences for air purification and recreation services at the expense of other services among urban residents in China. These preferences were further reflected in three distinct demand bundles: air purification-dominated, recreation-dominated, and balanced demands. Each bundle delineated a typical group of people with different representative characteristics. Socio-economic and environmental factors, such as environmental interest and vegetation coverage, were found to significantly influence the trade-off intensity among service demands. These results underscore the necessity for tailored urban park designs that address diverse service demands with the aim of enhancing the quality of urban life in China and beyond sustainably.

Edward Horne, Jessica Siegele, Ryan Swanson et al.

Athletic identity, as scholars have demonstrated, shapes the perceptions and experiences of college athletes. Likewise, scholars have also shown that career preparation (or the lack thereof) is an important component of athletes’ general preparation for life after sport. This study focuses on former college athletes’ perception of how their athletic identity and commitment to their athletic role shaped their career preparedness. It does so by interviewing former college athletes who have had the requisite time to reflect on their career preparedness, and by considering what the authors call ‘the athletic reckoning.’ This is the juncture at which participants come to the realization that their athletic career is over and, often correspondingly, take on a heightened focus regarding their vocational development. Findings also shed light on the job market experiences of unprepared athletes. The study has implications for both scholars of intercollegiate sport and for practitioners in athletic departments who work with current and former college athletes.

Abdallah Lakhdari, Jiajie Li, Amani Abusafia et al.

Fall detection is critical to support the growing elderly population, projected to reach 2.1 billion by 2050. However, existing methods often face data scarcity challenges or compromise privacy. We propose a novel IoT-based Fall Detection as a Service (FDaaS) framework to assist the elderly in living independently and safely by accurately detecting falls. We design a service-oriented architecture that leverages Ultra-wideband (UWB) radar sensors as an IoT health-sensing service, ensuring privacy and minimal intrusion. We address the challenges of data scarcity by utilizing a Fall Detection Generative Pre-trained Transformer (FD-GPT) that uses augmentation techniques. We developed a protocol to collect a comprehensive dataset of the elderly daily activities and fall events. This resulted in a real dataset that carefully mimics the elderly's routine. We rigorously evaluate and compare various models using this dataset. Experimental results show our approach achieves 90.72% accuracy and 89.33% precision in distinguishing between fall events and regular activities of daily living.

Zheng Che, Taoyu Li, Meng Shen et al.

The untraceability of transactions facilitated by Ethereum mixing services like Tornado Cash poses significant challenges to blockchain security and financial regulation. Existing methods for correlating mixing accounts suffer from limited labeled data and vulnerability to noisy annotations, which restrict their practical applicability. In this paper, we propose StealthLink, a novel framework that addresses these limitations through cross-task domain-invariant feature learning. Our key innovation lies in transferring knowledge from the well-studied domain of blockchain anomaly detection to the data-scarce task of mixing transaction tracing. Specifically, we design a MixFusion module that constructs and encodes mixing subgraphs to capture local transactional patterns, while introducing a knowledge transfer mechanism that aligns discriminative features across domains through adversarial discrepancy minimization. This dual approach enables robust feature learning under label scarcity and distribution shifts. Extensive experiments on real-world mixing transaction datasets demonstrate that StealthLink achieves state-of-the-art performance, with 96.98\% F1-score in 10-shot learning scenarios. Notably, our framework shows superior generalization capability in imbalanced data conditions than conventional supervised methods. This work establishes the first systematic approach for cross-domain knowledge transfer in blockchain forensics, providing a practical solution for combating privacy-enhanced financial crimes in decentralized ecosystems.

Suman Raj, Rajdeep Singh, Kautuk Astu et al.

The increasing adoption of UAVs with advanced sensors and GPU-accelerated edge computing has enabled real-time AI-driven applications in fields such as precision agriculture, wildfire monitoring, and environmental conservation. However, integrating deep learning on UAVs remains challenging due to platform heterogeneity, real-time constraints, and the need for seamless cloud-edge coordination. To address these challenges, we introduce AeroDaaS, a service-oriented framework that abstracts UAV-based sensing complexities and provides a Drone-as-a-Service (DaaS) model for intelligent decision-making. AeroDaaS offers modular service primitives for on-demand UAV sensing, navigation, and analytics as composable microservices, ensuring cross-platform compatibility and scalability across heterogeneous UAV and edge-cloud infrastructures. We implement and evaluate a preliminary version of AeroDaaS for two real-world DaaS applications. We require <=40 lines of code for the applications and see minimal platform overhead of <=20 ms per frame and <=0.5 GB memory usage on Orin Nano. These early results are promising for AeroDaaS as an efficient, flexible and scalable UAV programming framework for autonomous aerial analytics.

Peng Wang, Luis Badesa

An important limitation of Inverter-Based Resources (IBR) is their reduced contribution to Short-Circuit Current (SCC), as compared to that of Synchronous Generators (SGs). With increasing penetration of IBR in most power systems, the reducing SCC poses challenges to a secure system operation, as line protections may not trip when required. In order to address this issue, the SCC ancillary service could be procured via an economic mechanism, aiming at securing adequate SCC on all buses. However, the suitability of markets for SCC services is not well understood, given that these could be prone to market power issues: since the SCC contributions from various SGs to a certain bus are determined by the electrical topology of the grid, this is a highly local service. It is necessary to understand if SGs at advantageous electrical locations could exert market power and, if so, how it could be mitigated. In order to fill this gap, this paper, for the first time, adopts an SCC-constrained bilevel model to investigate strategic behaviors of SGs. To address the non-convexity due to unit commitment variables, the model is restructured through a primal-dual formulation. Based on a modified IEEE 30-bus system, cases with strategic SGs placed at different buses are analyzed. These studies demonstrate that strategic agents exerting market power by manipulating service prices and extending operating periods could achieve up to triple revenues from SCC provision, which reduces market efficiency and would increase the financial burden on consumers. These findings highlight the need for careful market design, for which potential measures to mitigate these market power issues are also discussed.

Erianne Weight, Jack Mitchell Haroldson, Molly Harry et al.

Research regarding the benefits and detriments of the U.S. collegiate sport governance structure are mixed. Guided by Richardson’s Resiliency Theory (2002), former athletes (n = 215) revealed specific themes of adversity experienced during college with the most prevalent including injury, time demands, and coach-athlete tension. Through interview, athletes noted adversity promoted their resiliency, facilitated grit/perseverance, enhanced teamwork and time management skills, and led to other forms of growth. This study extends our understanding of the long-term impacts of competitive sport participation in this context. This understanding is important for administrators seeking to maximize participant experiences and emulate, enhance, or reform the U.S. College Sport governance model.

Edward Gunning, Steven Golovkine, Andrew J. Simpkin et al.

We present a multivariate functional mixed effects model for kinematic data from a large number of recreational runners. The runners' sagittal plane hip and knee angles are modelled jointly as a bivariate function with random effects functions used to account for the dependence among measurements from either side of the body. The model is fitted by first applying multivariate functional principal component analysis (mv-FPCA) and then modelling the mv-FPCA scores using scalar linear mixed effects models. Simulation and bootstrap approaches are introduced to construct simultaneous confidence bands for the fixed effects functions, and covariance functions are reconstructed to summarise the variability structure in the data and thoroughly investigate the suitability of the proposed model. In our scientific application, we observe a statistically significant effect of running speed on both the hip and knee angles. We also observe strong within-subject correlations, reflecting the highly idiosyncratic nature of running technique. Our approach is more generally applicable to modelling multiple streams of smooth kinematic or kinetic data measured repeatedly for multiple subjects in complex experimental designs.

Ingrid Haegele

Addressing female underrepresentation in leadership positions has become a key policy objective. However, little is known about the extent to which leadership appeals differently to women. Collecting new data from a large firm, I document that women are substantially less likely to apply for early-career promotions. Realized application patterns and large-scale surveys reveal the role of an understudied feature of promotions -- having to assume responsibility over a team -- which is less appealing to women. This gender difference is not accounted for by standard explanations, such as success likelihood or confidence, but is rather a product of common design features of leadership positions.

Ellen Staurowsky, Courtney Flowers

Lucas Gren, Paul Ralph

Effective leadership is one of the key drivers of business and project success, and one of the most active areas of management research. But how does leadership work in agile software development, which emphasizes self-management and self-organization and marginalizes traditional leadership roles? To find out, this study examines agile leadership from the perspective of thirteen professionals who identify as agile leaders, in different roles, at ten different software development companies of varying sizes. Data from semi-structured interviews reveals that leadership: (1) is dynamically shared among team members; (2) engenders a sense of belonging to the team; and (3) involves balancing competing organizational cultures (e.g. balancing the new agile culture with the old milestone-driven culture). In other words, agile leadership is a property of a team, not a role, and effectiveness depends on agile team members' identifying with the team, accepting responsibility, and being sensitive to cultural conflict.

Rozalia Isidor, Elza Kren

This paper aims at studying Spa services in Romania, how they differ from other relaxation services offered on the market and how they can gain advantage over the competition. Is focusing on a segment of active, wellnessconscious clients who follow a healthy diet, take care of both their physical and mental health and are aware of the benefits of a visit to a Spa. Attracting such educated and demanding clients who have above-average incomes and actively promoting quality Spa services would maintain the competitive advantage of Spas over other forms of relaxation on the market. The methodology used for this analysis is the quantitative research method and the research technique is the survey. The results indicate that 86% of the people who responded to the questionnaire noted that they felt better overall after their visit to a Spa. The results obtained are in line with the issues analysed in the specialized literature.

Dionysis Athanasopoulos, Dewei Liu

Given that cloud servers are usually remotely located from the devices of mobile apps, the end-users of the apps can face delays. The Fog has been introduced to augment the apps with machines located at the network edge close to the end-users. However, edge machines are usually resource constrained. Thus, the execution of online data-analytics on edge machines may not be feasible if the time complexity of the data-analytics algorithm is high. To overcome this, multiple instances of the back-end should be deployed on edge and remote machines. In this case, the research question is how the switching of the app among the instances of the back-end can be dynamically decided based on the response time of the service instances. To answer this, we contribute an AI approach that trains machine-learning models of the response time of service instances. Our approach extends a back-end as a service into an AI self-back-end as a service that self-decides at runtime the right edge/remote instance that achieves the lowest response-time. We evaluate the accuracy and the efficiency of our approach by using real-word machine-learning datasets on an existing auction app.

A. C. Umuhire, J. Uwamahoro, K. Sasikumar Raja et al.

Solar radio type II bursts serve as early indicators of incoming geo-effective space weather events such as coronal mass ejections (CMEs). In order to investigate the origin of high-frequency type II bursts (HF type II bursts), we have identified 51 of them (among 180 type II bursts from SWPC reports) that are observed by ground-based Compound Astronomical Low-cost Low-frequency Instrument for Spectroscopy and Transportable Observatory (CALLISTO) spectrometers and whose upper-frequency cutoff (of either fundamental or harmonic emission) lies in between 150 MHz-450 MHz during 2010-2019. We found that 60% of HF type II bursts, whose upper-frequency cutoff $\geq$ 300 MHz originate from the western longitudes. Further, our study finds a good correlation $\sim $ 0.73 between the average shock speed derived from the radio dynamic spectra and the corresponding speed from CME data. Also, we found that analyzed HF type II bursts are associated with wide and fast CMEs located near the solar disk. In addition, we have analyzed the spatio-temporal characteristics of two of these high-frequency type II bursts and compared the derived from radio observations with those derived from multi-spacecraft CME observations from SOHO/LASCO and STEREO coronagraphs.

Sidcley D’sordi Alves Alegrini da Silva, Marcos José de Souza Cipriano, Ana Angélica Fonseca Costa

O referente artigo apresenta a intenção de viagem do potiguar após a pandemia provocada pela Sars-Cov-2: uma visão da pesquisa do Observatório de Turismo do RN (OBSERVATURN). O objetivo geral deste estudo é apresentar a pesquisa do OBSERVATURN, que verificou o perfil dos turistas potiguares que pretendem viajar após a pandemia da COVID-19; apontar as motivações de viagem do turista norte-rio-grandense após a pandemia e elucidar o formato das viagens que serão realizadas pelos potiguares no pós COVID-19. Para tanto, foram aplicados, pelo observatório, 1.253 questionários online entre os dias 26 de maio a 03 de junho de 2020 e tabulados através do Google Formulários. Portanto, percebeu-se, dentre outros aspectos, que 74% dos potiguares pretendem viajar no pós-pandemia, para destinos mais próximos, a saber: nacionais, estaduais e regionais, com veículos particulares, viagens de curta duração e gastos médios de R$ 1.000,00 a R$ 2.000,00.

Chaocheng He, Jiang Wu, Qingpeng Zhang

Research collaborations, especially long-distance and cross-border collaborations, have become increasingly prevalent worldwide. Recent studies highlighted the significant role of research leadership in collaborations. However, existing measures of the research leadership do not take into account the intensity of leadership in the co-authorship network. More importantly, the spatial features, which influence the collaboration patterns and research outcomes, have not been incorporated in measuring the research leadership. To fill the gap, we construct an institution-level weighted co-authorship network that has two types of weight on the edges: the intensity of collaborations and the spatial score (the geographic distance adjusted by the cross-border nature). Based on this network, we propose a novel metric, namely the spatial research leadership rank (SpatialLeaderRank), to identify the leading institutions while considering both the collaboration intensity and the spatial features. Harnessing a dataset of 323,146 journal publications in pharmaceutical sciences during 2010-2018, we perform a comprehensive analysis of the geographical distribution and dynamic patterns of research leadership flows at the institution level. The results demonstrate that the SpatialLeaderRank outperforms baseline metrics in predicting the scholarly impact of institutions. And the result remains robust in the field of Information Science & Library Science.

Thomas Sutter

With the releases of Android Oreo and Pie, Android introduced some background execution limitations for apps. Google restricted the execution of background services to save energy and to prevent apps from running endlessly in the background. Moreover, access to the device's sensors was changed and a new concept named foreground service has been introduced. Apps were no longer allowed to run background services in an idle state, preventing apps from using the device's resources like the camera. These limitations, however, would not affect so-called foreground services because they show a permanently visible notification to the user and could therefore be stopped by the user at any time. Our research found out that flaws in the API exists, which allows starting invisible foreground services, making the introduced limitations ineffective. We will show that the found flaws allow attackers to use foreground services as a tool for spying on users.

Andressa Ferreira Ramalho Leite, Suellen Alice Lamas, Wilker Ricardo de Mendonça Nóbrega

O presente artigo tem como objetivo compreender se a aplicação do Sistema de Gestão Ambiental (SGA) contribui para a competitividade nos meios de hospedagem pesquisados nesse estudo, verificando, a partir desse contexto, a correlação entre as práticas de Gestão Ambiental e a precificação dos serviços de hospedagem; e de qual forma as práticas ambientais são divulgadas como estratégia competitiva no mercado. A metodologia utilizada está baseada na pesquisa bibliográfica, bem como na realização de entrevistas semiestruturadas com os gestores hoteleiros de cinco hotéis previamente selecionados por desenvolverem práticas ambientais em seus empreendimentos, todos localizados na Via Costeira de Natal-RN. A pesquisa caracteriza-se por um estudo descritivo exploratório com uma abordagem qualitativa dos dados obtidos. Verifica-se que o sistema de gestão ambiental nesses empreendimentos está associado à redução dos custos operacionais, que não há uma correlação direta das práticas ambientais com a definição dos preços praticados, e que a divulgação de tais práticas, ainda que reconhecidamente necessária, não é trabalhada como uma estratégia competitiva no mercado local.

Andreea Fortuna Şchiopu, Daniela Georgiana Zloteanu

This article takes a customers’ perspective approach to reflect on the importance of innovation in the restaurant industry. Innovation in restaurants is vital for the business to remain distinct, to attract new customers, and to differentiate themselves from competitors. The aim was to identify the main characteristics and habits of restaurants’ customers, to find out what customers value in a restaurant offer, and to identify the perspective of customers on new and innovative dishes from restaurants’ menus. The focus was on the innovations that the customers expect from restaurants. The authors conducted a survey which reveled that most people dine out for dinner and lunch and have a varied diet. Image is a significant feature in choosing a dish; the combination of ingredients is the most prominent innovative aspect of a dish. In terms of dishes that people want but could not find in restaurant menus, a special mention goes to desserts such as semolina/rice pudding, or plum dumplings, followed by vegetarian options such as cashew cheese and vegan broths. Modern dishes are associated with exotic ingredients such as avocado, Chia seeds, Matcha powder, or vegetable noodles. People seem to be ready to try new things and ready to take in new offers from operators. The likelihood of picking a new dish from the menu reached the score of 3.58 out of 5, a result that completes the portrait of the contemporary client.

He Chaocheng, Wu Jiang, Zhang Qingpeng

Characterizing the leadership in research is important to revealing the interaction pattern and organizational structure through research collaboration. This research defines the leadership role based on the corresponding author's affiliation, and presents, the first quantitative research on the factors and evolution of five proximity dimensions (geographical, cognitive, institutional, social and economic) of research leadership. The data to capture research leadership consists of a set of multi-institution articles in the life sciences and biomedical during 2013-2017 from Web of Science Core Citation Database. Our sample consists of 484,903 articles from 244 Chinese institutions, which have been the primary affiliation of the corresponding author for at least one paper (with multiple institutions) in each year. A Tobit regression-based gravity model indicates that research leadership mass of both the leading and participating institutions and the geographical, cognitive, institutional, social and economic proximity are important factors of the flow of research leadership among Chinese institutions. In general, the effect of these proximity for research leadership flow has been declining recently. The outcome of this research sheds light on the leadership evolution and flow among Chinese institutions, and thus can provide evidence and support for grant allocation policy to facilitate scientific research and collaborations.