Baumard proposes a model to explain the dramatic rise in innovation that occurred during the Industrial Revolution, whereby rising living standards led to slower life history strategies, which, in turn, fostered innovation. We test his model explicitly using time series data, finding limited support for these proposed linkages. Instead, we find evidence that rising living standards appear to have a time-lagged bidirectional relationship with increasing innovation.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1017/S0140525X19000086 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Diffusion coefficient measurements for moving samples under strong magnetic field gradients.
J Magn Reson
January 2025
São Carlos Institute of Physics, University of São Paulo São Carlos São Paulo Brazil.
Among the numerous measurements carried out during a well-logging procedure, the Nuclear Magnetic Resonance (NMR) assessment is one of the fundamental analyses in determining the economic viability of a well for the oil industry. Nowadays, two reliable approaches, Wireline Logging (WL) and Logging While Drilling (LWD), stand out. WL comprises the acquisition of NMR data under static conditions.
View Article and Find Full Text PDFThe droplet dynamics of asymmetrical impingement on moving ridged surface.
J Colloid Interface Sci
January 2025
School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093 China. Electronic address:
Hypothesis: The depth of research into the mechanism of droplet impacting structured surfaces dictates the efficacy of their applications. The impact stress generated when a droplet impacts a surface is a pivotal factor influencing the efficiency of surface applications, ultimately determining the extent of surface wear. Despite the systematic examination of impact force, there remains a scarcity of research on impact stress and its mitigation strategies.
View Article and Find Full Text PDFDetection Method for Bolt Loosening Based on Summation Coefficient of Absolute Spectrum Ratio.
Sensors (Basel)
January 2025
Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
A bolt loosening detection method based on the summation coefficient of the absolute spectrum ratio technique is proposed to address the prevalent issue of bolt loosening in mechanical connections. This proposed method involves initially collecting vibration and rotation speed signals of the motor bolt connection structure, acquiring the baseline spectrum curve of a healthy structure and the spectrum curves of non-healthy structures under different degrees of bolt looseness through chirp Fourier transform (CFT). Subsequently, the spectrum ratio curves between healthy and non-healthy structures are calculated for different degrees of bolt loosening, and then the Summation Coefficient of Absolute Spectrum Ratio (SCASR) is defined to indicate the looseness.
View Article and Find Full Text PDFSafety and Quality Improvement of NaCl-Reduced Banana and Apple Fermented with .
Foods
December 2024
Tecnología de los Alimentos, Facultad de Veterinaria, Instituto de Investigación de Carne y Productos Cárnicos (IProCar), Universidad de Extremadura, 10003 Cáceres, Spain.
Food preservation techniques changed during the industrial revolution, as safer techniques were developed and democratized. However, one of the simplest techniques, adding salt, is still employed in a wide variety of products, not only as a flavor enhancer but as a method to allow for the controlled fermentation of products such as fruits. The objective of the present study consists of evaluating the quality of different salt-reduced fermented fruits through the application of the lactic acid bacteria (LAB) and vacuum, as well as assessing the LAB as a preventive measure against O157:H7.
View Article and Find Full Text PDFDesign, Development, and Testing of Machine Learning Models to Estimate Properties of Friction Stir Welded Joints.
Materials (Basel)
December 2024
Department of Mechanical Engineering Technology, College of Applied Industrial Technology, Jazan University, Jazan 45142, Saudi Arabia.
This paper estimates friction stir welded joints' ultimate tensile strength (UTS) and hardness using six supervised machine learning models (viz., linear regression, support vector regression, decision tree regression, random forest regression, K-nearest neighbour, and artificial neural network). Tool traverse speed, tool rotational speed, pin diameter, shoulder diameter, tool offset, and tool tilt are the six input parameters in the 200 datasets for training and testing the models.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!