Harnessing open science practices to teach ecology and evolutionary biology using interactive tutorials

JE Griffith, E Houghton, MA Slein… - Ecology and …, 2024 - Wiley Online Library
Open science skills are increasingly important for a career in ecology and evolutionary
biology (EEB) as efforts to make data and analyses publicly available continue to become …

[图书][B] Python and R for the Modern Data Scientist

RJ Scavetta, B Angelov - 2021 - books.google.com
Success in data science depends on the flexible and appropriate use of tools. That includes
Python and R, two of the foundational programming languages in the field. This book guides …

EcoEvoApps: Interactive apps for theoretical models in ecology and evolutionary biology

RM McGuire, KT Hayashi, X Yan… - Ecology and …, 2022 - Wiley Online Library
The integration of theory and data drives progress in science, but a persistent barrier to such
integration in ecology and evolutionary biology is that theory is often developed and …

Poor hypotheses and research waste in biology: learning from a theory crisis in psychology

S Nakagawa, DW Armitage, T Froese, Y Yang… - 2024 - ecoevorxiv.org
While psychologists have extensively discussed a 'theory crisis', there has been no debate
about such a crisis in biology. However, biologists, especially those working in the fields of …

[PDF][PDF] Python and R for the Modern Data Scientist

CJ Lortie - Journal of Statistical Software, 2022 - jstatsoft.org
Computation in many fields including those that use statistical software is increasingly driven
by needs that can be addressed in many programming ecosystems. In projects that require …

PageRank talent mining algorithm of power system based on cognitive load and DPCNN

K Feng, C Yang, W Zhu, K Li, Y Chen - IET Communications, 2024 - Wiley Online Library
PageRank talent mining in power system is an effective means for enterprises to recruit
talents, which can correctly recommend talents in practical applications. At present, the …

A Cognitive Load Theory (CLT) Analysis of Machine Learning Explainability, Transparency, Interpretability, and Shared Interpretability

S Fox, VF Rey - Machine Learning and Knowledge Extraction, 2024 - mdpi.com
Information that is complicated and ambiguous entails high cognitive load. Trying to
understand such information can involve a lot of cognitive effort. An alternative to expending …

Six strategies for framing theoretical research questions

A Shaw, AT Bisesi, C Wojan, D Kim… - Authorea …, 2024 - advance.sagepub.com
AbstractTheory is a small but critical component of the biological research process, and
complements observational and experimental approaches. However, early career biologists …

MacArthur's consumer-resource model: a Rosetta Stone for competitive interactions

J Sakarchi, R Germain - 2024 - ecoevorxiv.org
Recent developments in competition theory, namely, Modern Coexistence Theory (MCT),
have aided empiricists in formulating tests of species persistence, coexistence, and …

LEVERAGING COGNITIVE LOAD THEORY FOR ENHANCED SELF-INSTRUCTIONAL MATERIAL DESIGN IN ONLINE DISTANCE LEARNING: AN EXPLORATION …

Z Hamidon, ML Abdullah, Y Yusoff - ICERI2023 Proceedings, 2023 - library.iated.org
Effective instructional resources are critical in successful online distance learning (ODL),
particularly for adult learners with diverse needs and experiences. Considering learners' …