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29,200 result(s) for "Thomas, Martin"
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Age-related mortality explains life history strategies of tropical and temperate songbirds
Life history theory attempts to explain why species differ in offspring number and quality, growth rate, and parental effort. I show that unappreciated interactions of these traits in response to age-related mortality risk challenge traditional perspectives and explain life history evolution in songbirds. Counter to a long-standing paradigm, tropical songbirds grow at similar overall rates to temperate species but grow wings relatively faster. These growth tactics are favored by predation risk, both in and after leaving the nest, and are facilitated by greater provisioning of individual offspring by parents. Increased provisioning of individual offspring depends on partitioning effort among fewer young because of constraints on effort from adult and nest mortality. These growth and provisioning responses to mortality risk finally explain the conundrum of small clutch sizes of tropical birds.
Neurobiological Studies of Addiction in Chronic Pain States
Using rodent models, this volume explores the basic neurobiology of the relationship among chronic pain, opioid pharmacology, and addiction.
Violence and colonial order : police, workers and protest in the European colonial empires, 1918-1940
\"This is a pioneering, multi-empire account of the relationship between the politics of imperial repression and the economic structures of European colonies between the two World Wars. Ranging across colonial Africa, Southeast Asia and the Caribbean, Martin Thomas explores the structure of local police forces, their involvement in colonial labour control and the containment of uprisings and dissent. His work sheds new light on broader trends in the direction and intent of colonial state repression. It shows that the management of colonial economies, particularly in crisis conditions, took precedence over individual imperial powers' particular methods of rule in determining the forms and functions of colonial police actions. The politics of colonial labour thus became central to police work, with the depression years marking a watershed not only in local economic conditions but also in the breakdown of the European colonial order more generally\"-- Provided by publisher.
Hearts apart: sex differences in cardiac remodeling in health and disease
Biological sex is an important modifier of physiology and influences pathobiology in many diseases. While heart disease is the number one cause of death worldwide in both men and women, sex differences exist at the organ and cellular scales, affecting clinical presentation, diagnosis, and treatment. In this Review, we highlight baseline sex differences in cardiac structure, function, and cellular signaling and discuss the contribution of sex hormones and chromosomes to these characteristics. The heart is a remarkably plastic organ and rapidly responds to physiological and pathological cues by modifying form and function. The nature and extent of cardiac remodeling in response to these stimuli are often dependent on biological sex. We discuss organ- and molecular-level sex differences in adaptive physiological remodeling and pathological cardiac remodeling from pressure and volume overload, ischemia, and genetic heart disease. Finally, we offer a perspective on key future directions for research into cardiac sex differences.
Ancient Rome : from Romulus to Justinian
Overview: With commanding skill, Thomas R. Martin tells the remarkable and dramatic story of how a tiny, poor, and threatened settlement grew to become, during its height, the dominant power in the Mediterranean world for five hundred years. Encompassing the period from Rome's founding in the eighth century B.C. through Justinian's rule in the sixth century A.D., he offers a distinctive perspective on the Romans and their civilization by employing fundamental Roman values as a lens through which to view both their rise and spectacular fall. Interweaving social, political, religious, and cultural history, Martin interprets the successes and failures of the Romans in war, political organization, quest for personal status, and in the integration of religious beliefs and practices with government. He focuses on the central role of social and moral values in determining individual conduct as well as decisions of state, from monarchy to republic to empire. Striving to reconstruct ancient history from the ground up, he includes frequent references to ancient texts and authors, encouraging readers to return to the primary sources. Comprehensive, concise, and accessible, this masterful account provides a unique window into Rome and its changing fortune.
Evaluating High-Variance Leaves as Uncertainty Measure for Random Forest Regression
Uncertainty measures estimate the reliability of a predictive model. Especially in the field of molecular property prediction as part of drug design, model reliability is crucial. Besides other techniques, Random Forests have a long tradition in machine learning related to chemoinformatics and are widely used. Random Forests consist of an ensemble of individual regression models, namely, decision trees and, therefore, provide an uncertainty measure already by construction. Regarding the disagreement of single-model predictions, a narrower distribution of predictions is interpreted as a higher reliability. The standard deviation of the decision tree ensemble predictions is the default uncertainty measure for Random Forests. Due to the increasing application of machine learning in drug design, there is a constant search for novel uncertainty measures that, ideally, outperform classical uncertainty criteria. When analyzing Random Forests, it appears obvious to consider the variance of the dependent variables within each terminal decision tree leaf to obtain predictive uncertainties. Hereby, predictions that arise from more leaves of high variance are considered less reliable. Expectedly, the number of such high-variance leaves yields a reasonable uncertainty measure. Depending on the dataset, it can also outperform ensemble uncertainties. However, small-scale comparisons, i.e., considering only a few datasets, are insufficient, since they are more prone to chance correlations. Therefore, large-scale estimations are required to make general claims about the performance of uncertainty measures. On several chemoinformatic regression datasets, high-variance leaves are compared to the standard deviation of ensemble predictions. It turns out that high-variance leaf uncertainty is meaningful, not superior to the default ensemble standard deviation. A brief possible explanation is offered.
Generalized Michaelis–Menten rate law with time-varying molecular concentrations
The Michaelis–Menten (MM) rate law has been the dominant paradigm of modeling biochemical rate processes for over a century with applications in biochemistry, biophysics, cell biology, systems biology, and chemical engineering. The MM rate law and its remedied form stand on the assumption that the concentration of the complex of interacting molecules, at each moment, approaches an equilibrium (quasi-steady state) much faster than the molecular concentrations change. Yet, this assumption is not always justified. Here, we relax this quasi-steady state requirement and propose the generalized MM rate law for the interactions of molecules with active concentration changes over time. Our approach for time-varying molecular concentrations, termed the effective time-delay scheme (ETS), is based on rigorously estimated time-delay effects in molecular complex formation. With particularly marked improvements in protein–protein and protein–DNA interaction modeling, the ETS provides an analytical framework to interpret and predict rich transient or rhythmic dynamics (such as autogenously-regulated cellular adaptation and circadian protein turnover), which goes beyond the quasi-steady state assumption.