Search results for " Methods"
showing 10 items of 4102 documents
A post-exercise infrared sauna session improves recovery of neuromuscular performance and muscle soreness after resistance exercise training
2023
The aim of this study was to investigate effects of a single infrared sauna (IRS) session on postexercise recovery of neuromuscular performance, autonomic nervous system function, subjective sleep quality, and muscle soreness. Male basketball players (n = 16) performed two trials consisting of a complex resistance exercise protocol (maximal strength with plyometrics), followed by either 20 min passive recovery (PAS) or IRS (temperature 43±5°C), in a randomized crossover design, with trials separated by one week. Recovery of neuromuscular performance was assessed using 20 m maximal sprint, maximal countermovement-jump (CMJ), and isometric leg press tests, performed 14 hours after exercise. H…
Why Use Interactive Multi-Objective Optimization in Chemical Process Design?
2008
Problems in chemical engineering, like most real-world optimization problems, typically, have several conflicting performance criteria or objectives and they often are computationally demanding, which sets special requirements on the optimization methods used. In this chapter, we point out some shortcomings of some widely used basic methods of multi-objective optimization. As an alternative, we suggest using interactive approaches where the role of a decision maker or a designer is emphasized. Interactive multi-objective optimization has been shown to suit well for chemical process design problems because it takes the preferences of the decision maker into account in an iterative manner tha…
School Staff-centered School Development by Communicative Action: Working Methods for Creating Collective Responsibility - From the Idea to Action
2020
School development is often seen as a concerted (re-)action to educational policies, curriculum development, and change in education laws or regulations, and sometimes, as stakeholders’ reactions to low school performance. Generally, school development incorporates organizational, managerial, and educational activities and measures. This is done to adapt to the new situation to achieve the desired changes and goals initiated by a given curriculum reform. In contrast, this paper focuses on school staff–driven development: It describes how teachers together with paraprofessionals contribute to school-development. Using collective responsibility creating working methods of communication, the e…
Staging and storing data sprint-based research results: a communication design approach
2022
Data sprints are multidisciplinary, time-limited, practice-oriented, and group activities that explore complex issues through data gathering, visualization, and analysis. Data sprints usually conclude with final presentations where participants showcase the research process they followed and the achieved results. Although this activity is now widespread in some research centers, there does not appear to be a data-sprint tailored dissemination format that can support the organization, archive, and online diffusion of results. Starting from the experience of a data sprint on Digital Methods, the paper describes the design process of a digital format which condenses and reinterprets good pract…
The Dynamic Relationship between Response Processes and Self-Regulation in Critical Thinking Assessments
2021
Our aim was to explore higher education students’ response and self-regulatory processes plus the relationship between these, as evidenced in two types of performance-based critical thinking tasks included in the Collegiate Learning Assessment (CLA+) International instrument. The data collection consisted of 20 cognitive laboratories. The data were analyzed using a qualitative approach. The tasks were found to trigger different response and self-regulatory processes. Overall, the performance task evoked more holistic processes than the selected-response questions, in which students’ processes were more question-oriented. The results also indicated the entanglement of students’ response and …
Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data.
2022
The unprecedented availability of optical satellite data in cloud-based computing platforms, such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval models from the local to the planetary scale. Hybrid retrieval models are of interest to run in these platforms as they combine the advantages of physically-based radiative transfer models (RTM) with the flexibility of machine learning regression algorithms. Previous research with GEE primarily relied on processing bottom-of-atmosphere (BOA) reflectance data, which requires atmospheric correction. In the present study, we implemented hybrid models directly into GEE for processing Sentinel-2 (S2) Level-1C (L1C)…
Looking ahead in games research
2021
This thematic issue presents a number of emerging scholarships into the study of digital gaming. The articles are based on a 2019 symposium on game studies hosted by the Digital Games Research section of ECREA. As the phenomena related to digital gaming keep on evolving and emerging, so must research keep up with the times and constantly challenge itself. Whether speaking about validating previously developed research methods, imagining totally new ones, or even challenging the whole philosophy of science on which research is being done, there is a constant need for reappraisal and introspection within games research. As a cultural medium that has become deeply embedded into the social fabr…
Inserimento di restringimenti e ponti in un modello diffusivo 2D di acque basse
2010
Gli effetti su una corrente, causati dalle pile di un ponte, o più in generale da strutture che riducono la sezione trasversale dell’alveo, risultano di particolare interesse per le variazioni idrometriche che comportano alla corrente stessa. Nonostante i numerosi studi teorici e sperimentali di letteratura, l’attuale modellistica numerica diffusiva non integra la presenza di tali manufatti nelle proprie tecniche risolutive. Nella presente memoria viene presentata la metodologia implementata nel modello diffusivo bidimensionale FLOW2D per la valutazione del rigurgito provocato da restringimenti della sezione trasversale, nonché dalla presenza delle campate. I profili di rigurgito ottenuti c…
Deep-learning based reconstruction of the shower maximum X max using the water-Cherenkov detectors of the Pierre Auger Observatory
2021
The atmospheric depth of the air shower maximum $X_{\mathrm{max}}$ is an observable commonly used for the determination of the nuclear mass composition of ultra-high energy cosmic rays. Direct measurements of $X_{\mathrm{max}}$ are performed using observations of the longitudinal shower development with fluorescence telescopes. At the same time, several methods have been proposed for an indirect estimation of $X_{\mathrm{max}}$ from the characteristics of the shower particles registered with surface detector arrays. In this paper, we present a deep neural network (DNN) for the estimation of $X_{\mathrm{max}}$. The reconstruction relies on the signals induced by shower particles in the groun…
Kāda biomasas gazifikācijas modeļa skaitliskā analīze
2017
Šajā darbā tiek pētīts gazifikācijas procesa matemātiskais modelis. Tiek analizēta siltumapmaiņas reakcijas vienādojumu sistēma, konstruēts tās matemātiskais modelis un izpētīti raksti par gazifikācijas norises procesiem.