Differences between a successive versus simultaneous range discrimination task in an echolocating bottlenose dolphin (Tursiops truncatus).

A primary feature of bat and dolphin biosonar is the ability to measure echo-delay, both to determine absolute target range and to resolve range differences between targets. Measurements of range (i.e.

Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty.

This study explores how researchers' analytical choices affect the reliability of scientific findings. Most discussions of reliability problems in science focus on systematic biases. We broaden the lens to emphasize the idiosyncrasy of conscious and unconscious decisions that researchers make during data analysis.

Do Open-Science Badges Increase Trust in Scientists Among Undergraduates, Scientists, and the Public?

In three experimental studies, we investigated whether badges for open-science practices have the potential to affect trust in scientists and topic-specific epistemic beliefs by student teachers ( = 270), social scientists ( = 250), or the public ( = 257), all of whom were at least 16 years old. Furthermore, we analyzed the moderating role of epistemic beliefs for badges and trust. Each participant was randomly assigned to two of three conditions: badges awarded, badges not awarded, and no badges (control).

Forecasting Intra-individual Changes of Affective States Taking into Account Inter-individual Differences Using Intensive Longitudinal Data from a University Student Dropout Study in Math.

The longitudinal process that leads to university student dropout in STEM subjects can be described by referring to (a) inter-individual differences (e.g., cognitive abilities) as well as (b) intra-individual changes (e.

Classification of Copper Minerals by Handheld Laser-Induced Breakdown Spectroscopy and Nonnegative Tensor Factorisation.

Laser-induced breakdown spectroscopy (LIBS) analysers are becoming increasingly common for material classification purposes. However, to achieve good classification accuracy, mostly noncompact units are used based on their stability and reproducibility. In addition, computational algorithms that require significant hardware resources are commonly applied.