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Kinder stellen tausend Fragen. Wir Erwachsenen hingegen trauen uns oft nicht mehr, genau nachzufragen. Schliesslich müssten wir es ja längst wissen. Bedauerlicherweise werden viele Themen so kompliziert erklärt, dass den meisten von uns schon nach kurzer Beschäftigung damit die Lust am Wissen vergeht. Doch es geht auch anders! Dieses Buch ist für all die wissensdurstigen Menschen geschrieben worden, die sich nicht damit abfinden wollen, etwas nicht zu verstehen. Grundlegende und aussergewöhnliche Fragen werden hier auf möglichst einfache Art und Weise erklärt - sodass wirklich jeder es versteht.

Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers. Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following general classes of models: Linear regression Generalized linear models Linear mixed models Marginal longitudinal data models Cox survival analysis model The methods are introduced both at a theoretical and applied level within the framework of each general class of models, with a particular emphasis put on practical data analysis. This book is of particular use for research students,applied statisticians and practitioners in the health field interested in more stable statistical techniques. An accompanying website provides R code for computing all of the methods described, as well as for analyzing all the datasets used in the book.

The underrepresentation of girls and women in science, technology, engineering, and mathematics (STEM) fields is a continual concern for social scientists and policymakers. Using an international database on adolescent achievement in science, mathematics, and reading (N = 472,242), we showed that girls performed similarly to or better than boys in science in two of every three countries, and in nearly all countries, more girls appeared capable of college-level STEM study than had enrolled. Paradoxically, the sex differences in the magnitude of relative academic strengths and pursuit of STEM degrees rose with increases in national gender equality. The gap between boys’ science achievement and girls’ reading achievement relative to their mean academic performance was near universal. These sex differences in academic strengths and attitudes toward science correlated with the STEM graduation gap. A mediation analysis suggested that life-quality pressures in less gender-equal countries promote girls’ and women’s engagement with STEM subjects.

In many parts of the world, lake drying is caused by water management failures, while the phenomenon is exacerbated by climate change. Lake Urmia in Northern Iran is drying up at such an alarming rate that it is considered to be a dying lake, which has dire consequences for the whole region. While salinization caused by a dying lake is well understood and known to influence the local and regional food production, other potential impacts by dying lakes are as yet unknown. The food production in the Urmia region is predominantly regional and relies on local water sources. To explore the current and projected impacts of the dying lake on food production, we investigated changes in the climatic conditions, land use, and land degradation for the period 1990–2020. We examined the environmental impacts of lake drought on food production using an integrated scenario-based geoinformation framework. The results show that the lake drought has significantly affected and reduced food production over the past three decades. Based on a combination of cellular automaton and Markov modeling, we project the food production for the next 30 years and predict it will reduce further. The results of this study emphasize the critical environmental impacts of the Urmia Lake drought on food production in the region. We hope that the results will encourage authorities and environmental planners to counteract these issues and take steps to support food production. As our proposed integrated geoinformation approach considers both the extensive impacts of global climate change and the factors associated with dying lakes, we consider it to be suitable to investigate the relationships between environmental degradation and scenario-based food production in other regions with dying lakes around the world.

\"Dr. Stephen Hawking was the most renowned scientist since Einstein, known both for his groundbreaking work in physics and cosmology and for his mischievous sense of humor. He educated millions of readers about the origins of the universe and the nature of black holes, and inspired millions more by defying a terrifying early prognosis of ALS, which originally gave him only two years to live. In later life he could communicate only by using a few facial muscles, but he continued to advance his field and serve as a revered voice on social and humanitarian issues. Hawking not only unraveled some of the universe's greatest mysteries but also believed science plays a critical role in fixing problems here on Earth. Now he turns his attention to the most urgent issues facing us. Will humanity survive? Should we colonize space? Does God exist? These are just a few of the questions Hawking addresses in this wide-ranging, passionately argued final book from one of the greatest minds in history. Featuring a foreword by Eddie Redmayne, who won an Oscar playing Stephen Hawking, an introduction by Nobel Laureate Kip Thorne, and an afterword from Hawking's daughter, Lucy.\" -- (Source of summary not specified)

Willingness to compete has been found to predict individual and gender differences in educational choices and labor market outcomes. We provide further evidence for this relationship by linking Swiss students' Baccalaureate school (high school) specialization choices to an experimental measure of willingness to compete. Boys are more likely to specialize in math in Baccalaureate school. In line with previous findings, competitive students are more likely to choose a math specialization. Boys are more likely to opt for competition than girls and this gender difference in competitiveness could partially explain why girls are less likely to choose a math-intensive specialization.

Science, technology, engineering, and mathematics (STEM) workers are fundamental inputs for innovation, the main driver of productivity growth. We identify the long-run effect of STEM employment growth on outcomes for native workers across 219 US cities from 1990 to 2010. We use the 1980 distribution of foreign-born STEM workers and variation in the H-1B visa program to identify supply-driven STEM increases across cities. Increases in STEM workers are associated with significant wage gains for college-educated natives. Gains for non-college-educated natives are smaller but still significant. Our results imply that foreign STEM increased total factor productivity growth in US cities.

Analysis of changes in functional groups of species and potential drivers of environmental change for protected areas across the world’s major tropical regions reveals large variation between reserves that have been effective and those experiencing an erosion of biodiversity, and shows that environmental changes immediately outside reserves are nearly as important as those inside in determining their ecological fate. How to protect protected areas Protected areas are a key component of tropical forest conservation strategy, but how well are they performing? These authors assemble a large data set from 60 protected areas across the globe, assessing 31 functional groups of species and 21 drivers of environmental change. They find that about half of the reserves are succeeding but half are experiencing substantial losses of biodiversity, driven as much by environmental change outside the reserves as by change within them. To protect what remains of these habitats, the authors suggest that it is vital to establish sizeable buffer zones around reserves, maintain substantial reserve connectivity to other forest areas and promote low-impact land uses near reserves. The rapid disruption of tropical forests probably imperils global biodiversity more than any other contemporary phenomenon 1 , 2 , 3 . With deforestation advancing quickly, protected areas are increasingly becoming final refuges for threatened species and natural ecosystem processes. However, many protected areas in the tropics are themselves vulnerable to human encroachment and other environmental stresses 4 , 5 , 6 , 7 , 8 , 9 . As pressures mount, it is vital to know whether existing reserves can sustain their biodiversity. A critical constraint in addressing this question has been that data describing a broad array of biodiversity groups have been unavailable for a sufficiently large and representative sample of reserves. Here we present a uniquely comprehensive data set on changes over the past 20 to 30 years in 31 functional groups of species and 21 potential drivers of environmental change, for 60 protected areas stratified across the world’s major tropical regions. Our analysis reveals great variation in reserve ‘health’: about half of all reserves have been effective or performed passably, but the rest are experiencing an erosion of biodiversity that is often alarmingly widespread taxonomically and functionally. Habitat disruption, hunting and forest-product exploitation were the strongest predictors of declining reserve health. Crucially, environmental changes immediately outside reserves seemed nearly as important as those inside in determining their ecological fate, with changes inside reserves strongly mirroring those occurring around them. These findings suggest that tropical protected areas are often intimately linked ecologically to their surrounding habitats, and that a failure to stem broad-scale loss and degradation of such habitats could sharply increase the likelihood of serious biodiversity declines.