207,247 research outputs found
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Exploring Roles for Scientists and Simulation Models in Collaborative, Science-Based Ecosystem Restoration
The U.S. Forest Service’s Collaborative Forest Landscape Restoration Program (CFLRP) seeks to encourage collaborative, science-based ecosystem restoration of forest landscapes. Many theorists note a tension between participatory approaches in governance and the certainty and control that science is said to offer. This research explores how collaboration and science are currently being integrated in natural resource management through a qualitative examination of two forest collaborative groups that have interacted with a team of scientists proposing participatory simulation modeling. In particular, this study asks the question: among participants engaged in collaborative ecosystem restoration, what are the expectations for and perceptions of, the role of simulation models and scientists? Although this study centered on the potential use of simulation models, it also concerns itself with the role of scientists in the collaborative groups in general. Participants from two collaborative groups engaged in the CFLRP in Central Oregon were selected using a purposive sampling strategy and interviewed using semi-structured interview techniques. Interviews were recorded, coded and then analyzed with themes from the post-normal science framework and the participatory GIS and science integration literature. The results of this study suggest that the participants in these two groups have different strategies for incorporating science into their process and different expectations for the role of simulation models and scientists. One group in particular conforms more closely to post-normal science concepts and favored using a simulation model for the purpose of supporting open-ended discussion and having scientists enter into a shared learning process with them
Student interactions in online discussion forums: their perception on learning with business simulation games
Digital technology offers new teaching methods with controversial results over learning. They allow students to develop a more active participation in their learning process although it does not always drive to unequivocal better learning outcomes. This study aims to offer additional evidence on the contribution of business simulation games to students' learning outcomes, considering student interactions in online discussion forums. We conducted a qualitative research with the online discussion forums of 5 different courses at bachelor and master levels, which involves 41 students' teams. The final sample was composed of 3681 messages posted by the students. The results reveal that some generic and specific managerial skills exert a positive influence on learning outcomes. Students mostly highlighted teamwork, decision-making, information processing, reaching agreements, and dealing with uncertainty as the most relevant contributions of the game towards their learning. These results have instructional and pedagogical implications for determining the best way to enhance students' motivation and learning outcomes when using digital technology methods, which involves recommendations that affect their design and monitoring
Can Intellectual Processes in the Sciences Also Be Simulated? The Anticipation and Visualization of Possible Future States
Socio-cognitive action reproduces and changes both social and cognitive
structures. The analytical distinction between these dimensions of structure
provides us with richer models of scientific development. In this study, I
assume that (i) social structures organize expectations into belief structures
that can be attributed to individuals and communities; (ii) expectations are
specified in scholarly literature; and (iii) intellectually the sciences
(disciplines, specialties) tend to self-organize as systems of rationalized
expectations. Whereas social organizations remain localized, academic writings
can circulate, and expectations can be stabilized and globalized using
symbolically generalized codes of communication. The intellectual
restructuring, however, remains latent as a second-order dynamics that can be
accessed by participants only reflexively. Yet, the emerging "horizons of
meaning" provide feedback to the historically developing organizations by
constraining the possible future states as boundary conditions. I propose to
model these possible future states using incursive and hyper-incursive
equations from the computation of anticipatory systems. Simulations of these
equations enable us to visualize the couplings among the historical--i.e.,
recursive--progression of social structures along trajectories, the
evolutionary--i.e., hyper-incursive--development of systems of expectations at
the regime level, and the incursive instantiations of expectations in actions,
organizations, and texts.Comment: accepted for publication in Scientometrics (June 2015
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A search for new phenomena in pp collisions at [Formula: see text] in final states with missing transverse momentum and at least one jet using the [Formula: see text] variable.
A search for new phenomena is performed in final states containing one or more jets and an imbalance in transverse momentum in pp collisions at a centre-of-mass energy of 13[Formula: see text]. The analysed data sample, recorded with the CMS detector at the CERN LHC, corresponds to an integrated luminosity of 2.3[Formula: see text]. Several kinematic variables are employed to suppress the dominant background, multijet production, as well as to discriminate between other standard model and new physics processes. The search provides sensitivity to a broad range of new-physics models that yield a stable weakly interacting massive particle. The number of observed candidate events is found to agree with the expected contributions from standard model processes, and the result is interpreted in the mass parameter space of fourteen simplified supersymmetric models that assume the pair production of gluinos or squarks and a range of decay modes. For models that assume gluino pair production, masses up to 1575 and 975[Formula: see text] are excluded for gluinos and neutralinos, respectively. For models involving the pair production of top squarks and compressed mass spectra, top squark masses up to 400[Formula: see text] are excluded
Cloudbus Toolkit for Market-Oriented Cloud Computing
This keynote paper: (1) presents the 21st century vision of computing and
identifies various IT paradigms promising to deliver computing as a utility;
(2) defines the architecture for creating market-oriented Clouds and computing
atmosphere by leveraging technologies such as virtual machines; (3) provides
thoughts on market-based resource management strategies that encompass both
customer-driven service management and computational risk management to sustain
SLA-oriented resource allocation; (4) presents the work carried out as part of
our new Cloud Computing initiative, called Cloudbus: (i) Aneka, a Platform as a
Service software system containing SDK (Software Development Kit) for
construction of Cloud applications and deployment on private or public Clouds,
in addition to supporting market-oriented resource management; (ii)
internetworking of Clouds for dynamic creation of federated computing
environments for scaling of elastic applications; (iii) creation of 3rd party
Cloud brokering services for building content delivery networks and e-Science
applications and their deployment on capabilities of IaaS providers such as
Amazon along with Grid mashups; (iv) CloudSim supporting modelling and
simulation of Clouds for performance studies; (v) Energy Efficient Resource
Allocation Mechanisms and Techniques for creation and management of Green
Clouds; and (vi) pathways for future research.Comment: 21 pages, 6 figures, 2 tables, Conference pape
Unraveling the influence of domain knowledge during simulation-based inquiry learning
This study investigated whether the mere knowledge of the meaning of variables can facilitate inquiry learning processes and outcomes. Fifty-seven college freshmen were randomly allocated to one of three inquiry tasks. The concrete task had familiar variables from which hypotheses about their underlying relations could be inferred. The intermediate task used familiar variables that did not invoke underlying relations, whereas the abstract task contained unfamiliar variables that did not allow for inference of hypotheses about relations. Results showed that concrete participants performed more successfully and efficiently than intermediate participants, who in turn were equally successful and efficient as abstract participants. From these findings it was concluded that students learning by inquiry benefit little from knowledge of the meaning of variables per se. Some additional understanding of the way these variables are interrelated seems required to enhance inquiry learning processes and outcomes
Theories of understanding others: the need for a new account and the guiding role of the person model theory
What would be an adequate theory of social understanding? In the last decade, the philosophical debate has focused on Theory Theory, Simulation Theory and Interaction Theory as the three possible candidates. In the following, we look carefully at each of these and describe its main advantages and disadvantages. Based on this critical analysis, we formulate the need for a new account of social understanding. We propose the Person Model Theory as an independent new account which has greater explanatory power compared to the existing theorie
Nanoinformatics: developing new computing applications for nanomedicine
Nanoinformatics has recently emerged to address the need of computing applications at the nano level. In this regard, the authors have participated in various initiatives to identify its concepts, foundations and challenges. While nanomaterials open up the possibility for developing new devices in many industrial and scientific areas, they also offer breakthrough perspectives for the prevention, diagnosis and treatment of diseases. In this paper, we analyze the different aspects of nanoinformatics and suggest five research topics to help catalyze new research and development in the area, particularly focused on nanomedicine. We also encompass the use of informatics to further the biological and clinical applications of basic research in nanoscience and nanotechnology, and the related concept of an extended ?nanotype? to coalesce information related to nanoparticles. We suggest how nanoinformatics could accelerate developments in nanomedicine, similarly to what happened with the Human Genome and other -omics projects, on issues like exchanging modeling and simulation methods and tools, linking toxicity information to clinical and personal databases or developing new approaches for scientific ontologies, among many others
Logistics of Mathematical Modeling-Focused Projects
This article addresses the logistics of implementing projects in an
undergraduate mathematics class and is intended both for new instructors and
for instructors who have had negative experiences implementing projects in the
past. Project implementation is given for both lower and upper division
mathematics courses with an emphasis on mathematical modeling and data
collection. Projects provide tangible connections to course content which can
motivate students to learn at a deeper level. Logistical pitfalls and insights
are highlighted as well as descriptions of several key implementation
resources. Effective assessment tools, which allowed me to smoothly adjust to
student feedback, are demonstrated for a sample class. As I smoothed the
transition into each project and guided students through the use of the
technology, their negative feedback on projects decreased and more students
noted how the projects had enhanced their understanding of the course topics.
Best practices learned over the years are given along with project summaries
and sample topics. These projects were implemented at a small liberal arts
university, but advice is given to extend them to larger classes for broader
use.Comment: 27 pages, no figures, 1 tabl
Software-Defined Networks Supporting Time-Sensitive In-Vehicular Communication
Future in-vehicular networks will be based on Ethernet. The IEEE
Time-Sensitive Networking (TSN) is a promising candidate to satisfy real-time
requirements in future car communication. Software-Defined Networking (SDN)
extends the Ethernet control plane with a programming option that can add much
value to the resilience, security, and adaptivity of the automotive
environment. In this work, we derive a first concept for combining
Software-Defined Networking with Time-Sensitive Networking along with an
initial evaluation. Our measurements are performed via a simulation that
investigates whether an SDN architecture is suitable for time-critical
applications in the car. Our findings indicate that the control overhead of SDN
can be added without a delay penalty for the TSN traffic when protocols are
mapped properly.Comment: To be published at IEEE VTC2019-Sprin
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