Drawing from philosophical work on the nature of concepts and from empirical studies of visual perception, mental imagery, and numerical cognition, Giaquinto explores a major source of our grasp of mathematics, using examples from basic geometry, arithmetic, algebra, and real analysis.
This textbook offers a unique compendium of measurement procedures for experimental data acquisition. After introducing readers to the basic theory of uncertainty evaluation in measurements, it shows how to apply it in practice to conduct a range of laboratory experiments with instruments and procedures operating both in the time and frequency domains. Offering extensive practical information and hands-on tips on using oscilloscopes, spectrum analyzers and reflectometric instrumentation, the book shows readers how to deal with e.g. filter characterization, operational amplifiers, digital and analogic spectral analysis, and reflectometry-based measurements. For each experiment, it describes the corresponding uncertainty evaluation in detail. Bridging the gap between theory and practice, the book offers a unique, self-contained guide for engineering students and professionals alike. It also provides university teachers and professors with a valuable resource for their laboratory courses on electric and electronic measurements.
Women face a higher prevalence of food insecurity than do men, both on a global scale and across all regions. This paper delves into the global determinants contributing to the gender gap in food insecurity and explores how the COVID-19 pandemic influenced its trajectory. Additionally, it estimates the impact of improvements in food security and incomes possible if gender gaps on farm productivity and wages were closed. Utilizing data from the Food Insecurity Experience Scale gathered from over 700 000 individuals across 121 countries, this study reveals that individuals aged 25–34 years, irrespective of their gender, and women residing in rural areas have been disproportionately affected by the pandemic. The econometric model allows the authors to estimate the elasticities of food security to income, which they then use to simulate the potential macrolevel benefits for the economy and food security if we were to eliminate the gender gaps in farm productivity and wages within agrifood systems. The findings suggest that addressing these disparities could result in an approximate USD 1 trillion increase in global gross domestic product and lift approximately 45 million people out of food insecurity. Additionally, the authors estimate that eliminating these gender disparities could reduce the current gap in food insecurity between women and men by at least 57 percent. This background paper was prepared to inform Chapters 1 and 6 of FAO’s report on The status of women in agrifood systems.
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