scholarly journals Ten simple rules for training yourself in an emerging field

2021 ◽  
Vol 17 (10) ◽  
pp. e1009440
Author(s):  
Whitney M. Woelmer ◽  
L. M. Bradley ◽  
Lisa T. Haber ◽  
David H. Klinges ◽  
Abigail S. L. Lewis ◽  
...  
Keyword(s):  
Ecological Forecasting ◽  
Simple Rules

The opportunity to participate in and contribute to emerging fields is increasingly prevalent in science. However, simply thinking about stepping outside of your academic silo can leave many students reeling from the uncertainty. Here, we describe 10 simple rules to successfully train yourself in an emerging field, based on our experience as students in the emerging field of ecological forecasting. Our advice begins with setting and revisiting specific goals to achieve your academic and career objectives and includes several useful rules for engaging with and contributing to an emerging field.

Imagine Law Without Simple Rules

1995 ◽  
Vol 40 (2) ◽  
pp. 143-144
Author(s):  
Arthur C. Graesser
Keyword(s):  
Simple Rules

Complex Networks from Simple Rules

2013 ◽  
Vol 22 (2) ◽  
pp. 151-174 ◽  
Author(s):  
Richard Southwell ◽  
Jianwei Huang ◽  
Chris Cannings ◽  
◽  
Keyword(s):  
Complex Networks ◽  
Simple Rules

How to Evaluate Clinically Relevant Literature: Five Simple Rules for the Practicing Clinician in Stroke Neurorehabilitation

2020 ◽  
Author(s):  
Jonathan Sanching Tsay ◽  
Carolee Winstein
Keyword(s):  
Clinical Decision Making ◽  
Relevant Literature ◽  
Clinical Decision ◽  
Balance Sheets ◽  
Neural Connections ◽  
Recovery Processes ◽  
Immediate Recovery ◽  
Simple Rules ◽  
Busy Clinician ◽  
New Generation

Neurorehabilitation relies on core principles of neuroplasticity to activate and engage latent neural connections, promote detour circuits, and reverse impairments. Clinical interventions incorporating these principles have been shown to promote recovery while demoting compensation. However, many clinicians struggle to find evidence for these principles in our growing but nascent body of literature. Regulatory bodies and organizational balance sheets further discourage evidence-based, methodical, time-intensive, and efficacious interventions because practical needs often outweigh and dominate clinical decision making. Modern neurorehabilitation practices that result from these pressures favor strategies that encourage compensation over those that promote recovery. With a focus on helping the busy clinician evaluate the rapidly growing literature, we put forth five simple rules that direct clinicians toward intervention studies that value more enduring but slower biological recovery processes over the more alluring practical and immediate “recovery” mantra. Filtering emerging literature through this critical lens has the potential to change practice and lead to more durable long-term outcomes. This perspective is meant to serve a new generation of mechanistically minded clinicians, students, and trainees poised to not only advance our field but to also erect policy changes that promote recovery-based care of stroke survivors.

Excess entropy of the systems of molecules differing in size and shape

1983 ◽  
Vol 48 (1) ◽  
pp. 192-198 ◽  
Author(s):  
Tomáš Boublík
Keyword(s):  
Equation Of State ◽  
Hard Spheres ◽  
Excess Entropy ◽  
Convex Bodies ◽  
Pure Substance ◽  
Liquid Equilibrium ◽  
Simple Rules ◽  
Different Shapes ◽  
The Mean

The excess entropy of mixing of mixtures of hard spheres and spherocylinders is determined from an equation of state of hard convex bodies. The obtained dependence of excess entropy on composition was used to find the accuracy of determining ΔSE from relations employed for the correlation and prediction of vapour-liquid equilibrium. Simple rules were proposed for establishing the mean parameter of nonsphericity for mixtures of hard bodies of different shapes allowing to describe the P-V-T behaviour of solutions in terms of the equation of state fo pure substance. The determination of ΔSE by means of these rules is discussed.

scholarly journals Ten simple rules to make your research more sustainable

2020 ◽  
Vol 16 (9) ◽  
pp. e1008148
Author(s):  
Anne-Laure Ligozat ◽  
Aurélie Névéol ◽  
Bénédicte Daly ◽  
Emmanuelle Frenoux
Keyword(s):  
Simple Rules

scholarly journals Do traders learn to select efficient market institutions?

2021 ◽  
Author(s):  
Carlos Alós-Ferrer ◽  
Johannes Buckenmaier ◽  
Georg Kirchsteiger
Keyword(s):  
Returns To Scale ◽  
Production Costs ◽  
Switching Behavior ◽  
Double Auction ◽  
Trading Behavior ◽  
Market Institutions ◽  
Market Institution ◽  
Simple Rules ◽  
Rules Of Thumb ◽  
Constant Returns To Scale

AbstractWhen alternative market institutions are available, traders have to decide both where and how much to trade. We conducted an experiment where traders decided first whether to trade in an (efficient) double-auction institution or in a posted-offers one (favoring sellers), and second how much to trade. When sellers face decreasing returns to scale (increasing production costs), fast coordination on the double-auction occurs, with the posted-offers institution becoming inactive. In contrast, under constant returns to scale, both institutions remain active and coordination is slower. The reason is that sellers trade off higher efficiency in a market with dwindling profits for biased-up profits in a market with vanishing customers. Hence, efficiency alone might not be sufficient to guarantee coordination on a single market institution if the surplus distribution is asymmetric. Trading behavior approaches equilibrium predictions (market clearing) within each institution, but switching behavior across institutions is explained by simple rules of thumb, with buyers chasing low prices and sellers considering both prices and trader ratios.

Sign in / Sign up

Export Citation Format

Share Document