Search results for "RSE"

Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

2016

We consider a population of dynamic agents, also referred to as players. The state of each player evolves according to a linear stochastic differential equation driven by a Brownian motion and under the influence of a control and an adversarial disturbance. Every player minimizes a cost functional which involves quadratic terms on state and control plus a cross-coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term “crowd-averse.” Motivations for this model are analyzed and discussed in three main contexts: a stock market application, a production engineering example, and a dynamic demand management problem in power systems. For th…

Care Workers’ Readiness for Robotization : Identifying Psychological and Socio-Demographic Determinants

2020

Successful implementation of robots in welfare services requires that the staff approves of them as a part of daily work tasks. In this study, we identified psychological and socio-demographic determinants associated with readiness for robotization among professional Finnish care-workers. National survey data were collected from professional care workers (n = 3800) between October and November 2016. Random samples were drawn from the member registers of two Finnish trade unions. The data were analyzed with regression models for respondents with and without firsthand experience with robots. The models explained 34–39% of the variance in the readiness for robotization. The readiness was posit…

Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations

2020

Reinforcement learning is one of the most promising machine learning techniques to get intelligent behaviors for embodied agents in simulations. The output of the classic Temporal Difference family of Reinforcement Learning algorithms adopts the form of a value function expressed as a numeric table or a function approximator. The learned behavior is then derived using a greedy policy with respect to this value function. Nevertheless, sometimes the learned policy does not meet expectations, and the task of authoring is difficult and unsafe because the modification of one value or parameter in the learned value function has unpredictable consequences in the space of the policies it represents…

Las huellas de la interdisciplinariedad en la trayectoria de Enric Mestre. ?Intercambios e investigaciones cruzadas entre las esculturas cerámicas y …

2020

La destacada actividad artística de Enric Mestre (Alboraya / Valencia, 1936) solo pude abordarse, en su compleja diversidad y riqueza, si se mantiene, como eje metodológico básico de su estudio crítico, el abierto enfoque de su sistemática interdisciplinariedad. Los diálogos e intercambios entre la escultura cerámica, la arquitectura, la pintura, el dibujo y los murales conforman precisamente el ámbito plural de su constante quehacer artístico. Especialmente la investigación se centra en las esculturas cerámicas y en las pinturas geométricas, que constituyen los dos dilatados campos de su creación plástica, cultivados asiduamente, a lo largo del último medio siglo

Tabu Search to Plan Schedules in a Multiskill Customer Contact Center

2006

International audience; We have studied a realistic case of scheduling problem in a customer contact center, dealing with multiskill agents. Our model combines the last two steps of the standard approach by determining shifts and by assigning them to agents at the same time (scheduling and rostering). Moreover, we have considered realistic vacations, according to legal constraints and preferences of agents. We have envisioned entire weeks of work, with variable meal times and meal durations, without overtime. In this paper, we define the problem and describe a Tabu search based solution.

Combined column-and-row-generation for the optimal communication spanning tree problem

2018

Abstract This paper considers the exact solution of the optimal communication spanning tree problem (OCSTP), which can be described as follows: Given an undirected graph with transportation costs on every edge and communication requirements for all pairs of vertices, the OCSTP seeks for a spanning tree that minimizes the sum of the communication costs between all pairs of vertices, where the communication cost of a pair of vertices is defined as their communication requirement multiplied by the transportation cost of the unique tree path that connects the two vertices. Two types of compact formulations for OCSTP were presented in the literature. The first one is a four-index model based on …

2020

A soldier’s occupational physical task requirements are diverse and varied. However, the type of physical training that most effectively improves soldiers’ occupational task requirements has not been studied previously. The purpose of this study was to determine the important strength characteristics for soldiers during a repeated simulated military task course, and the type of training that may be effective to improve these abilities during a specialized military training period. Forty-two (n = 42) soldiers participated in the study. They were divided into three training groups; a soldier task-specific training group (TSG, n = 17), a strength training group (STG, n = 15), and a control gro…

2018

Abstract Disaster diplomacy investigates how and why disaster-related activities do and do not influence conflict and cooperation. Studies into the topic so far have tended to develop the theory, analyse a specific case study in space and time, or connect both. Explorations of disaster diplomacy case studies over the long-term are so far absent from the literature. This paper explores Jammu and Kashmir in the Himalaya as a long-term case study for disaster diplomacy. Jammu and Kashmir has a long history of conflicts, multiple environmental hazards, and significant vulnerabilities yielding major disasters, with each topic generally addressed separately in the literature. This paper explores …

Nursing Students Managing Deteriorating Patients: A Systematic Review and Meta-Analysis

2018

Abstract Background The objective was to summarize knowledge and systematically collect and quantify meta-analytical results regarding the effects of high-fidelity simulation in nursing education to improve students' ability to recognize and respond to deteriorating patients. Methods In total, 4048 citations were screened, 40 articles were selected for full-text screening, and 14 articles were included. Six articles were subsequently included in the meta-analysis. Results Knowledge and performance increased after simulation. Four studies reported an increase in self-confidence. Conclusion Findings support that studies with high-quality research designs and improved measurement practices are…

Inter- and intraspecific variability in invertebrate acute toxicity response to Arsenic and Fluoride exposure

2018

The adverse effects of arsenic and fluoride exposure on six groups of freshwater invertebrates were investigated. Acute toxicity tests (48-h) with arsenic trioxide (As2NO3) resulted in the following pattern of sensitivity: Daphnia magna 24-h-old = Brachionus patulus 72-h-old = Daphnia. cf. prolata, 21-d-old = D. magna 5-d-old > Heterocypris incongruens juvenile instars > Culex sp. Heterocypris juv. incongruens instars were the second group more tolerant to arsenic and the second group that bioconcentrates arsenic the least. In contrast, invertebrates exposed to sodium fluoride (NaF), showed a different pattern of sensitivity: H. incongruens instars > B. patulus = D. magna 24-h-old > D. cf. …