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This comprehensive volume covers radiopharmaceuticals developed for pathway-directed systems in imaging and theranostic applications. We now are at the cutting edge of providing personalized treatment with increased use in oncology of these new radiopharmaceuticals. Trends in high-resolution instrumentation development, quality assurance systems and regulatory compliance for radiopharmaceuticals, clinical evaluation of radiopharmaceuticals, and benefits and pitfalls of the current clinical FDG PET are discussed. Radiopharmaceuticals are used for diagnosis of diseases of the central nervous and cardiovascular systems and for staging, restaging, and treatment planning for cancers. Nuclear biomarkers allow precise measurement of molecular pathways on a whole-body image upon administration of functional radiolabeled agents, and nuclear imaging agents have potential use in patient selection, pharmacokinetic, dosage-finding, and proof-of-concept studies. Nuclear imaging agents and hybrid instrumentation also provide sensitive and specific answers for differential responsiveness in therapeutic outcome. This book serves as a reference for moving the discovery and development of radiopharmaceuticals from the workbench to clinical applications. It thus benefits not only clinicians but also translational research scientists—molecular biologists, chemists, imaging scientists, pharmaceutical developers, physicists, and support staff.

Nuclear medicine. --- Oncology  . --- Nuclear Medicine. --- Oncology.

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Beliefs about whether effort pays off govern some of the most fundamental choices individuals make. This paper uses China's Cultural Revolution to understand how these beliefs can be affected, how they impact behavior, and how they are transmitted across generations. During the Cultural Revolution, China's college admission system based on entrance exams was suspended for a decade until 1976, effectively depriving an entire generation of young people of the opportunity to access higher education (the "lost generation"). Using data from a nationally representative survey, we compare cohorts who graduated from high school just before and after the college entrance exam was resumed. We find that members of the "lost generation" who missed out on college because they were born just a year or two too early believe that effort pays off to a much lesser degree, even 40 years into their adulthood. However, they invested more in their children's education, and transmitted less of their changed beliefs to the next generation, suggesting attempts to safeguard their children from sharing their misfortunes.

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People's perceptions about others play an important role in shaping their own attitudes and behaviors, as well as social norms more broadly. This review presents a meta-analysis of the recent empirical literature that examines perceptions about others in the field. We document a number of stylized facts. Misperceptions about others are widespread, asymmetric, much larger when about out-group members, and positively associated with one's own attitudes. Experimental treatments to re-calibrate misperceptions generally work as intended; they sometimes lead to meaningful changes in behaviors, though this often occurs only immediately after the treatments. We discuss different conceptual frameworks that could explain the origin, persistence, and rigidity of misperceptions about others. We point to several directions for future research.

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Developing AI technology requires data. In many domains, government data far exceeds in magnitude and scope data collected by the private sector, and AI firms often gain access to such data when providing services to the state. We argue that such access can stimulate commercial AI innovation in part because data and trained algorithms are shareable across government and commercial uses. We gather comprehensive information on firms and public security procurement contracts in China's facial recognition AI industry. We quantify the data accessible through contracts by measuring public security agencies' capacity to collect surveillance video. Using a triple-differences strategy, we find that data-rich contracts, compared to data-scarce ones, lead recipient firms to develop significantly and substantially more commercial AI software. Our analysis indicates a contribution of government data to the rise of China's facial recognition AI firms, and suggests that states' data collection and provision policies could shape AI innovation.

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The decision to protest is strategic: an individual's participation is a function of her beliefs about others' turnout. Models of protest often assume strategic complementarity; however, the challenge of collective action suggests strategic substitutability. We conduct the first field experiment directly manipulating individuals' beliefs about others' protest participation, in the context of Hong Kong's pro-democracy movement. We elicit university students' planned participation in an upcoming protest and their prior beliefs about others' participation, in an incentivized manner. One day before the protest, we randomly provide a subset of subjects with truthful information about others' protest plans, and elicit posterior beliefs about protest turnout, again in an incentivized manner. This allows us to identify the causal effects of positively and negatively updated beliefs about others' protest participation on subjects' turnout. We consistently find evidence of strategic substitutes. Analysis of control group subjects and survey evidence reinforce our experimental findings.