One of the most lamentable aspects of Christendom's history has been the long-standing antipathy of some of its members toward persons of the Jewish faith. However, the writer of Mark's gospel did not intend to promulgate such antipathy. Parker's groundbreaking re-assessment of how the evangelist applies Jewish scriptures serves to establish the true nature of Mark's unfavourable depiction of Judaism's custodians as a theological construct. The overriding purpose behind Mark's caricature of Jesus' compatriots was to explain the presence of «faulty» belief, or even unbelief, among a Gentile readership. Subsequent generations have mistakenly given historical credence to Mark's account of Jesus's ministry. Regrettably, this has resulted in the erroneous theological legitimization of atrocities against the Jews.
This book offers a comprehensive and cohesive overview of transport processes associated with all kinds of charged particles, including electrons, ions, positrons, and muons, in both gases and condensed matter. The emphasis is on fundamental physics, linking experiment, theory and applications. In particular, the authors discuss: The kinetic theory of gases, from the traditional Boltzmann equation to modern generalizations A complementary approach: Maxwell’s equations of change and fluid modeling Calculation of ion-atom scattering cross sections Extension to soft condensed matter, amorphous materials Applications: drift tube experiments, including the Franck-Hertz experiment, modeling plasma processing devices, muon catalysed fusion, positron emission tomography, gaseous radiation detectors Straightforward, physically-based arguments are used wherever possible to complement mathematical rigor. Robert Robson has held professorial positions in Japan, the USA and Australia, and was an Alexander von Humboldt Fellow at several universities in Germany. He is a Fellow of the American Physical Society. Ronald White is Professor of Physics and Head of Physical Sciences at James Cook University, Australia. Malte Hildebrandt is Head of the Detector Group in the Laboratory of Particle Physics at the Paul Scherrer Institut, Switzerland.
In the United States, work is the key to economic success, as well as the major source of health care coverage and retirement security. While Europeans look to the State for these benefits, Americans for the most part do not. This system of employment-based benefits means that those disadvantaged in the labor market are also disadvantaged in terms of health care coverage and retirement security. The authors of this work examine the overrepresentation of Mexican Americans in low wage or service sector jobs, which rarely come with health insurance or retirement coverage. At all ages, Mexican Americans have lower rates of health insurance and retirement coverage than do other minority groups, such as African Americans or other Hispanic groups. Although employment in jobs that do not provide benefits is one major source of this disparity, other factors—including immigration history, citizenship status, and language proficiency—further block opportunities for upward mobility within the Mexican American population. In their analysis, the authors work to deemphasize the popular, cultural explanation for the economic disparities and focus on more practical, policy-based solutions. In each chapter, the authors identify and critique the factors that affect the economic security and health care access of individuals throughout the life course, suggesting policies for reform. This work will be of interest to anyone working in the fields of cultural studies, public health and the sociology of work. With the focus on real world causes for the problems as well as potential solutions, policy-makers will also find this informative book an essential resource.
In "Preaching Is Believing, " Allen calls for preachers to help congregations cultivate a systematic approach to Christian faith and life by bringing systematic theology directly into the pulpit.
How we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise. It’s sometime in the not-so-distant future, and you send your fully autonomous self-driving car to the store to pick up your grocery order. The car is endowed with as much capability as an artificial intelligence agent can have, programmed to drive better than you do. But when the car encounters a traffic light stuck on red, it just sits there—indefinitely. Its obstacle-avoidance, lane-following, and route-calculation capacities are all irrelevant; it fails to act because it lacks the common sense of a human driver, who would quickly figure out what’s happening and find a workaround. In Machines like Us, Ron Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create machines with common sense rather than just the specialized expertise of today’s AI systems. Using the stuck traffic light and other relatable examples, Brachman and Levesque offer an accessible account of how common sense might be built into a machine. They analyze common sense in humans, explain how AI over the years has focused mainly on expertise, and suggest ways to endow an AI system with both common sense and effective reasoning. Finally, they consider the critical issue of how we can trust an autonomous machine to make decisions, identifying two fundamental requirements for trustworthy autonomous AI systems: having reasons for doing what they do, and being able to accept advice. Both in the end are dependent on having common sense.
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