This compact but comprehensive board review includes everything you need to successfully prepare for the ABIM Cardiology Board Review examination. Features over 1200 questions with answers and clear explanations Includes over 400 accompanying images Covers all key areas of cardiology practice, from history/physicial examination through all major diseases/disorders, along with special topics, e.g. consultative cardiology, covered on the exam Complements standard textbook reading Written by an internationally-recognized, well-respected and well-published senior cardiologist, expert in valvular heart disease and cardiovascular imaging

Biography of Tonse Madhava Anantha Pai, 1898-1979, educationist and industrialist from Karnataka.

Motivated by their increasing prevalence, we study outcomes when competing sellers use machine learning algorithms to run real-time dynamic price experiments. These algorithms are often misspecified, ignoring the effect of factors outside their control, e.g. competitors' prices. We show that the long-run prices depend on the informational value (or signal to noise ratio) of price experiments: if low, the long-run prices are consistent with the static Nash equilibrium of the corresponding full information setting. However, if high, the long-run prices are supra-competitive -- the full information joint-monopoly outcome is possible. We show this occurs via a novel channel: competitors' algorithms' prices end up running correlated experiments. Therefore, sellers' misspecified models overestimate own price sensitivity, resulting in higher prices. We discuss the implications on competition policy.

Motivated by markets for "expertise," we study a bandit model where a principal chooses between a safe and risky arm. A strategic agent controls the risky arm and privately knows whether its type is high or low. Irrespective of type, the agent wants to maximize duration of experimentation with the risky arm. However, only the high type arm can generate value for the principal. Our main insight is that reputational incentives can be exceedingly strong unless both players coordinate on maximally inefficient strategies on path. We discuss implications for online content markets, term limits for politicians and experts in organizations.

Individuals who have suffered stoke lose functionality and possess impaired motor control commonly in one side of their bodies. Subjects with post-stroke hemiparesis in their legs usually undergo physiotherapeutic training to attempt to correct their loss of motor control. With therapy routines currently in use there was no way to predict a patient's response before they started their training since there was no specific measure of judgement. Stroke subjects in this study had participated in corrective walking training therapy and their response was measured over three evaluation stages. Response to therapy was measured by an increase in the patient's gait speed during the evaluation, whereby a significant increase was enough to classify a subject as having responded to the treatment and no significant increase would warrant the patient be classified as a non-responder. This study aimed at providing evidence to classify subjects into one of the two groups listed above based solely on electromyographic (EMG) leg activation data and the associated technique of synergy analysis with its various methods and whether or not we could predict those subjects who would or would not respond to therapy from baseline i.e. before starting therapy, using statistical classification tools post synergy analysis. The detection of significant differences between responders to the training and non-responders leads us to believe that muscle synergy analysis possesses significant strengths and provides us with better clinical significance in classification than traditional baseline clinical methods.