Making Sense of Team Information

2018 ◽  
Vol 62 (1) ◽  
pp. 114-118 ◽  
Author(s):  
Ronald Stevens ◽  
Trysha Galloway ◽  
Ann Willemson-Dunlap ◽  
Jamie Gorman ◽  
Donald Halpin
Keyword(s):  
Large Scale ◽  
Team Member ◽  
Neural Dynamics ◽  
Neural Dynamic ◽  
Micro Scale ◽  
Making Sense ◽  
Parietal Lobes ◽  
Gamma Frequencies ◽  
Different Sources ◽  
Practical Sense

This paper describes how meaning can be extracted from large-scale dynamical data to make inferences about teamwork that are useful in both the theoretical and practical sense. The dynamics of an anesthesiology team are viewed from the perspectives of: 1) changes in the team’s neurodynamic organizations with large and small changes in the task; 2) how team member’s neurodynamics contribute to team neurodynamics; 3) the relationships between task events, heart-rate and neural dynamic organizations; 4) the linkages between speech flow, team and team member neurodynamics and topic discussions during Debriefing; and, 5) the micro-scale neural dynamics reflecting the involvement of the parietal lobes and gamma frequencies. These examples show how different sources of team data can contribute to multi-modal understandings of individual and teams dynamics that span micro and macro scales of teamwork.

scholarly journals Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification (PSID)

2019 ◽  
Author(s):  
Omid G. Sani ◽  
Bijan Pesaran ◽  
Maryam M. Shanechi
Keyword(s):  
Neural Activity ◽  
Large Scale ◽  
Dynamic Models ◽  
Neural Dynamics ◽  
Subspace Identification ◽  
Neural Dynamic ◽  
Brain Functions ◽  
Internal States ◽  
Recording Channel ◽  
Lower Dimensional

AbstractNeural activity exhibits dynamics that in addition to a behavior of interest also relate to other brain functions or internal states. Understanding how neural dynamics explain behavior requires dissociating behaviorally relevant and irrelevant dynamics, which is not achieved with current neural dynamic models as they are learned without considering behavior. We develop a novel preferential subspace identification (PSID) algorithm that models neural activity while dissociating and prioritizing its behaviorally relevant dynamics. Applying PSID to large-scale neural activity in two monkeys performing naturalistic 3D reach-and-grasps uncovered new features for neural dynamics. First, PSID revealed the behaviorally relevant dynamics to be markedly lower-dimensional than otherwise implied. Second, PSID discovered distinct rotational dynamics that were more predictive of behavior. Finally, PSID more accurately learned the behaviorally relevant dynamics for each joint and recording channel. PSID provides a general new tool to reveal behaviorally relevant neural dynamics that can otherwise go unnoticed.

The Gap Between The Micro And Macro Scales of Teamwork is Spanned By Neural Information But Not Neural Band Power

2020 ◽  
Vol 64 (1) ◽  
pp. 376-380
Author(s):  
Ron Stevens ◽  
Trysha Galloway
Keyword(s):  
Team Member ◽  
Neural Dynamics ◽  
Human Behaviors ◽  
Micro Scale ◽  
Band Power ◽  
Macro Scale ◽  
Neural Information ◽  
Eeg Power ◽  
Practical Implications ◽  
Frequency Magnitude

One of the more intriguing questions about teamwork is how macro-scale behaviors arise from the micro-scale neural dynamics of each team member. In this paper we show that the low-level dynamics of EEG band power, which themselves link poorly with behavioral teamwork measures can be transformed into information-based units of neurodynamic organization that link with macro-level constructs like experience and uncertainty. We suggest it is the frequency, magnitude and durations of the temporal organizations within the EEG band power that are important for linking to macro behaviors, and not exclusively EEG power levels. These studies provide an avenue for understanding how complex organizations arise from the dynamics of underlying micro-scale variables. The study also has practical implications for how micro-scale variables might be better represented, both conceptually and in terms of parsimony, for training machines to recognize human behaviors that span scales of teamwork.

scholarly journals Massive and Microscopic Sensemaking During COVID-19 Times

2020 ◽  
pp. 107780042096247 ◽  
Author(s):  
Annette N. Markham ◽  
Anne Harris ◽  
Mary Elizabeth Luka
Keyword(s):  
Critical Pedagogy ◽  
Lived Experience ◽  
Large Scale ◽  
Ethic Of Care ◽  
Feminist Perspective ◽  
The Other ◽  
Self And Other ◽  
Planetary Scale ◽  
Making Sense ◽  
Ongoing Experiment

How does this pandemic moment help us to think about the relationships between self and other, or between humans and the planet? How are people making sense of COVID-19 in their everyday lives, both as a local and intimate occurrence with microscopic properties, and a planetary-scale event with potentially massive outcomes? In this paper we describe our approach to a large-scale, still-ongoing experiment involving more than 150 people from 26 countries. Grounded in autoethnography practice and critical pedagogy, we offered 21 days of self guided prompts to for us and the other participants to explore their own lived experience. Our project illustrates the power of applying a feminist perspective and an ethic of care to engage in open ended collaboration during times of globally-felt trauma.

scholarly journals Adherence and competence assessment in studies of CBT for psychosis: current status and future directions

2011 ◽  
Vol 20 (2) ◽  
pp. 121-126 ◽  
Author(s):  
D. Fowler ◽  
R. Rollinson ◽  
P. French
Keyword(s):  
Cognitive Therapy ◽  
Large Scale ◽  
Rating Scale ◽  
Current Status ◽  
Behaviour Therapy ◽  
Future Directions ◽  
Making Sense ◽  
Cognitive Behaviour ◽  
The Uk ◽  
Careful Assessment

All good quality trials of psychological interventions need to check formally that therapists have used the techniques prescribed in the published therapy manuals, and that the therapy has been carried out competently. This paper reviews methods of assessing adherence and competence used in recent large-scale trials of Cognitive Behaviour Therapy (CBT) for psychosis in the UK carried out by our research groups. A combination of the Cognitive Therapy Rating Scale and specific versions of the Cognitive Therapy for Psychosis Adherence Scales provides an optimal assessment of adherence and competence. Careful assessment of the competence and adherence can help identify the procedures actually carried out with individuals within trials. The basic use of such assessments is to provide an external check on treatment fidelity on a sample of sessions. Such assessment can also provide the first step towards moving research towards making sense of CBT for psychosis as a complex intervention and identifying which techniques work for which problems of people with psychosis, at which stages of disorder?

scholarly journals Kinetically driven successive sodic and potassic alteration of feldspar

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Gan Duan ◽  
Rahul Ram ◽  
Yanlu Xing ◽  
Barbara Etschmann ◽  
Joël Brugger
Keyword(s):  
Hydrothermal Fluid ◽  
Large Scale ◽  
Ore Deposits ◽  
Potassic Alteration ◽  
Positive Feedbacks ◽  
Micro Scale ◽  
Equilibrium Reaction ◽  
Earth's Crust ◽  
Mineral Transformations ◽  
Over Time

AbstractThe dynamic evolutions of fluid-mineral systems driving large-scale geochemical transformations in the Earth’s crust remain poorly understood. We observed experimentally that successive sodic and potassic alterations of feldspar can occur via a single self-evolved, originally Na-only, hydrothermal fluid. At 600 °C, 2 kbar, sanidine ((K,Na)AlSi3O8) reacted rapidly with a NaCl fluid to form albite (NaAlSi3O8); over time, some of this albite was replaced by K-feldspar (KAlSi3O8), in contrast to predictions from equilibrium reaction modelling. Fluorine accelerated the process, resulting in near-complete back-replacement of albite within 1 day. These findings reveal that potassic alteration can be triggered by Na-rich fluids, indicating that pervasive sequential sodic and potassic alterations associated with mineralization in some of the world’s largest ore deposits may not necessarily reflect externally-driven changes in fluid alkali contents. Here, we show that these reactions are promoted at the micro-scale by a self-evolving, kinetically-driven process; such positive feedbacks between equilibrium and kinetic factors may be essential in driving pervasive mineral transformations.

Neural Dynamics in Real-Time for Large Scale Biomorphic Neural Networks

1998 ◽  
pp. 481-486 ◽  
Author(s):  
M. Rossmann ◽  
C. Burwick ◽  
A. Bühlmeier ◽  
G. Manteuffel ◽  
K. Goser
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Large Scale ◽  
Neural Dynamics

scholarly journals "Akritas" – Nikos Kazantzakis' Little-Known Unrealized Epic Project

2018 ◽  
Vol 20 ◽  
pp. 45-54
Author(s):  
Michał Bzinkowski
Keyword(s):  
Large Scale ◽  
Byzantine Empire ◽  
Greek Literature ◽  
Modern Greek ◽  
Epic Poem ◽  
Magnum Opus ◽  
Modern Greece ◽  
Different Sources

Kazantzakis’ Odyssey – apart from the abundance of philosophical as well as ideological influences of many different sources which the writer tried to unify into a universal cosmotheory – constitutes a large-scale attempt by a Modern Greek writer to respond to Homeric epic. Yet, the author of Zorba the Greek sketched another epic composition that, according to his vision, aimed at reaching further than his magnum opus. His ambition was to encompass the long-lasting period between Ancient and Modern Greece, namely that of the Byzantine empire and its radiating influence on Greek consciousness and identity. He entitled his project Akritas, thus directly alluding to the only epic poem in Byzantine Greek literature, Digenes Akritas, and its protagonist as well as to acritic songs from Cyprus, where the latter’s name appears. In the present paper I would like to shed some light on Kazantzakis’ approach to Byzantium and its significance in defining the Greek identity through this unfinished sketch that the writer in fact never began.

The Late Wisconsinan Savanna Terrace in Tributaries to the Upper Mississippi River

1983 ◽  
Vol 20 (2) ◽  
pp. 165-176 ◽  
Author(s):  
Mark A. Flock
Keyword(s):  
Mississippi River ◽  
Large Scale ◽  
Lake Superior ◽  
Mississippi Valley ◽  
Red Clay ◽  
Radiocarbon Dates ◽  
Jackson County ◽  
Late Wisconsinan ◽  
Different Sources ◽  
Lacustrine Deposit

The Savanna Terrace, composed of alternating red and gray clayey sediments of late Wisconsinan age, can be found in five states along the upper Mississippi valley from Pepin County, Wisconsin, to Jackson County, Illinois. The terrace is the highest glaciofluvial-lacustrine deposit without a loess cover in the upper Mississippi valley. Chemical, physical, and mineralogical data show that two different sources provided sediment. The red clay is believed to have come from Lake Superior sources, while the gray clay is believed to have come from sources farther west. Large-scale flood events from glacial Lakes Agassiz, Grantsburg, and Superior were probably the main contributors of the sediments. The red clay in the terrace is similar in composition to red glaciolacustrine sediment found in eastern and northern Wisconsin. It also is mineralogically similar to the Hinckley Sandstone and the Fond du Lac Formation, which occur under and around Lake Superior. Radiocarbon dates obtained from the lower Illinois valley indicate that the terrace sediments were deposited sometime between about 13,100 and 9500 yr ago. Soils developed on the terrace are variable in their physical, chemical, and mineralogical properties, which reflect the composition of the clayey sediments.

scholarly journals Observational constraints of a new unified dark fluid and the H0 tension

2019 ◽  
Vol 490 (2) ◽  
pp. 2071-2085 ◽  
Author(s):  
Weiqiang Yang ◽  
Supriya Pan ◽  
Andronikos Paliathanasis ◽  
Subir Ghosh ◽  
Yabo Wu
Keyword(s):  
Dark Matter ◽  
Dark Energy ◽  
Large Scale ◽  
Cold Dark Matter ◽  
Early Time ◽  
Observational Constraints ◽  
Minimal Extension ◽  
Energy Evolution ◽  
The Universe ◽  
Different Sources

ABSTRACT Unified cosmological models have received a lot of attention in astrophysics community for explaining both the dark matter and dark energy evolution. The Chaplygin cosmologies, a well-known name in this group have been investigated matched with observations from different sources. Obviously, Chaplygin cosmologies have to obey restrictions in order to be consistent with the observational data. As a consequence, alternative unified models, differing from Chaplygin model, are of special interest. In the present work, we consider a specific example of such a unified cosmological model, that is quantified by only a single parameter μ, that can be considered as a minimal extension of the Λ-cold dark matter cosmology. We investigate its observational boundaries together with an analysis of the universe at large scale. Our study shows that at early time the model behaves like a dust, and as time evolves, it mimics a dark energy fluid depicting a clear transition from the early decelerating phase to the late cosmic accelerating phase. Finally, the model approaches the cosmological constant boundary in an asymptotic manner. We remark that for the present unified model, the estimations of H0 are slightly higher than its local estimation and thus alleviating the H0 tension.

scholarly journals The Implication of Different Sets of Climate Variables on Regional Maize Yield Simulations

Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 180
Author(s):  
Amit Kumar Srivastava ◽  
Andrej Ceglar ◽  
Wenzhi Zeng ◽  
Thomas Gaiser ◽  
Cho Miltin Mboh ◽  
...  
Keyword(s):  
Crop Yield ◽  
Large Scale ◽  
Regional Scale ◽  
Maize Yield ◽  
Weather Data ◽  
Climate Data ◽  
Agricultural Planning ◽  
Input Variables ◽  
Different Sources ◽  
Grid Based

High-resolution and consistent grid-based climate data are important for model-based agricultural planning and farm risk assessment. However, the application of models at the regional scale is constrained by the lack of required high-quality weather data, which may be retrieved from different sources. This can potentially introduce large uncertainties into the crop simulation results. Therefore, in this study, we examined the impacts of grid-based time series of weather variables assembled from the same data source (Approach 1, consistent dataset) and from different sources (Approach 2, combined dataset) on regional scale crop yield simulations in Ghana, Ethiopia and Nigeria. There was less variability in the simulated yield under Approach 1, ranging to 58.2%, 45.6% and 8.2% in Ethiopia, Nigeria and Ghana, respectively, compared to those simulated using datasets retrieved under Approach 2. The two sources of climate data evaluated here were capable of producing both good and poor estimates of average maize yields ranging from lowest RMSE = 0.31 Mg/ha in Nigeria to highest RMSE = 0.78 Mg/ha under Approach 1 in Ghana, whereas, under Approach 2, the RMSE ranged from the lowest value of 0.51 Mg/ha in Nigeria to the highest of 0.72 Mg/ha in Ethiopia under Approach 2. The obtained results suggest that Approach 1 introduces less uncertainty to the yield estimates in large-scale regional simulations, and physical consistency between meteorological input variables is a relevant factor to consider for crop yield simulations under rain-fed conditions.

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