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Abstract Background Multi-Family Therapy for Anorexia Nervosa (MFT-AN) unites families navigating similar difficulties to promote more rapid recovery for adolescents with eating disorders. Designed as a collaborative, gr...

This study evaluated the effectiveness of podcasts as a strategic marketing tool for fitness clubs, focusing on their integration into marketing strategies, role in member engagement and retention, and audience perceptio...

he orchestration of microservices in distributed cloud environments poses significant challenges due to the heterogeneous nature of cluster nodes and dynamic workload patterns. Traditional scheduling strategies in Kubern...

Order acceptance under uncertainty is a critical decision-making problem at the interface between customer relationship management and production planning of order-driven manufacturing systems. In this work, a novel appr...

This study explores the development and management of campus learning spaces at the Norwegian University of Science and Technology (NTNU), focusing on the experiences and perspectives of the technical administrative staf...

Abstract Patient navigation is a promising intervention that could improve follow-up of abnormal fecal immunochemical test (FIT) results in colorectal cancer (CRC) screening. We describe changes in navigation activities ...

Abstract Against the backdrop of urgent demand for efficient scheduling and precise services in university innovation and entrepreneurship ecosystems, this study proposes an optimization path for ecosystem construction i...

Abstract Thermal stress in electric two-wheeler hub motors is a major bottleneck affecting drivetrain reliability, safety, and efficiency—especially under varied terrain, aggressive riding profiles, and sensor reliabil...

Work autonomy is understood as the freedom of workers to manage the different aspects that involve carrying out their own tasks, such as scheduling, criteria, and work methods. In this sense, the objective of this study ...

Digital health increasingly relies on artificial intelligence for clinical decision-making, patient management, and distributed learning, yet two persistent challenges remain: the computational complexity of optimization...

Efficiency in higher education has increasingly come under scrutiny as student debt levels continue to increase and the quantification of the value provided to students by colleges remains elusive. Collegiate flight trai...

Robotic technologies are becoming more advanced and are becoming more popular. Requirements are high levels of accuracy and operational speed, such as in surgery and manufacturing. These targets were highly challenging a...

System-level remaining useful life (RUL) prediction is challenging because multisensor data fusion requires an integrated representation of multicomponent degradation, and the uncertainty of model parameters is often ove...

This study has the purpose of analyzing users' perception of the accessibility to Estratégia Saúde da Família (ESF - Family Health Strategy) in its geographical, organizational, socio-cultural and economic dimensions....

This study addresses the under-explored dynamic characteristics of unmanned ships in trajectory planning by constructing a constraint space in the navigation state-phase plane. First, we employ a path-velocity decoupling...

Abstract Our aim was to develop an AI-based NC-FET Treatment Management Algorithm (NTMA), decision-support system that predicts ovulation in real time to manage and optimize natural frozen embryo transfer cycle (NC-FET) ...

Reliable estimation of reference evapotranspiration (ET0) is essential for irrigation scheduling and agricultural water-resources management. Although the FAO-56 Penman–Monteith equation is widely accepted as the stand...

El mundo de los negocios actuales está sufriendo muchos cambios, ya no basta con generar reportes y realizar una correcta planificación. Se deben incluir herramientas de optimización para crear soluciones de negocios ...

El objetivo de esta tesina es analizar, investigar y desarrollar algoritmos de scheduling para ejecutar eficientemente aplicaciones de procesamiento paralelo sobre arquitecturas multicore y clusters de multicore. Esto im...

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"La inherente complejidad de la resolución del problema general de planeamiento y programación de la producción atrae a diversas ramas de la matemática y computación aplicada. En el presente trabajo, se desarrolla u...

Scientific collaboration are becoming interdisciplinary, and scientists are working in informal collaboration to solve complex problems that require multiple types of large resources. An option is a computational grid. A...

"Este trabajo tiene como objetivo la generación de una herramienta de automatización e integración en las tareas de planificación operativa. Para la evaluación de dicha herramienta se utilizará un caso de estudio r...

"Este trabajo propone una estrategia para la resolución del problema de planeamiento y programación de una o varias líneas de producción trabajando en paralelo. Se describe el enfoque y los principales criterios segu...