Providence College is a private Catholic university in Providence, Rhode Island. Founded in 1917 by the Dominican Order and the local diocese, it offers 47 undergraduate majors and 17 graduate programs. It requires all of its undergraduate students to complete 16 credits in the Development of Western Civilization, a major part of the college's core curriculum. In the spring of 2021, it enrolled 4,128 undergraduate students and 688 graduate students for a total enrollment of 4,816 students.In athletics, Providence College competes in the NCAA's Division I and is a founding member of the original Big East Conference and Hockey East. It was part of the original six other basketball-centric Catholic colleges which broke off from the original Big East (today's American Athletic Conference) to form the current Big East at the start of the 2013–14 academic year.
Worry and rumination commonly co-occur and share many features, yet it remains unclear if they share a similar pattern of associations with metacognitive beliefs, and if worry-specific vs. rumination-specific metacognition measures impact the strength of these associations. This meta-analysis examined associations (Pearson’s r) of negative and positive metacognitive beliefs to worry (33 studies, N = 10,600) and rumination (26 studies, N = 9,478). Negative and positive beliefs were associated with both worry and rumination, with a similar pattern of associations. Both worry and rumination were more strongly related to negative (r = .651 and 0.535, respectively) than positive metacognitive beliefs (r = .327 and 0.393, respectively). For both worry and rumination, correlations with positive beliefs were stronger in nonclinical than clinical samples, while there was no difference between nonclinical and clinical samples in strength of correlation with negative beliefs. Although associations of negative and positive beliefs to worry and rumination were significant across all metacognitive belief measures, there is some evidence that use of worry-specific vs. rumination-specific measures of metacognitive beliefs may impact the strength of correlation with each thought type. Results support conceptualizing metacognitive beliefs as a shared feature of these repetitive negative thought types and suggest metacognitive therapy may be beneficial across thought types.
We consider generalized quantifiers which are either closed under embeddings or closed under monomorphisms or consist of structures that contain a substructure in a fixed Σ ^1_2 -definable set (which we call a Σ ^1_2 -quantifier). We study the relativization of these quantifiers with respect to these closure properties. We also consider when formulas built from such quantifiers are absolute with respect to these closure properties. We show that formulas built from embedding-closed or monomorphism-closed quantifiers need not be absolute (with respect to these definitions), whereas formulas built from Σ ^1_2 -quantifiers are absolute (with respect to the Σ ^1_2 -definitions). The latter result makes use of an absoluteness result, which may be of independent interest.
This paper introduces the BOW Planner, a scalable motion planning algorithm designed to navigate robots through complex environments using constrained Bayesian optimization (CBO). Unlike traditional methods, which often struggle with kinodynamic constraints such as velocity and acceleration limits, the BOW Planner excels by concentrating on a planning window of reachable velocities and employing CBO to sample control inputs efficiently. This approach enables the planner to manage high-dimensional objective functions and stringent safety constraints with minimal sampling, ensuring rapid and secure trajectory generation. Theoretical analysis confirms the algorithm's asymptotic convergence to near-optimal solutions, while extensive evaluations in cluttered and constrained settings reveal substantial improvements in computation times, trajectory lengths, and solution times compared to existing techniques. Successfully deployed across various real-world robotic systems, the BOW Planner demonstrates its practical significance through exceptional sample efficiency, safety-aware optimization, and rapid planning capabilities, making it a valuable tool for advancing robotic applications. The BOW Planner is released as an open-source package and videos of real-world and simulated experiments are available at https://bow-web.github.io.
Atomic hydrogen (H i) is an important component of gas in and around galaxies and forms extended disklike structures well beyond the extent of starlight. Here we investigate the properties and evolution of extended H i disks that emerge in six Milky Way-mass galaxies using cosmological zoom-in simulations from the Figuring Out Gas and Galaxies in Enzo (FOGGIE) suite. We focus on the formation, evolution, and morphology of extended gaseous disks that emerge in all six systems. We find that the median H i column densities drop sharply at the disk edge, with the mean column densities outside the disk dominated by dense (NHI similar to 1019 cm-2), clumpy structures. All systems have significant misaligned features (warps or polar rings) at some point in their evolution; however, their frequencies, lifetimes, and origins vary significantly. We find that the morphologies of the FOGGIE disks are correlated with properties of their circumgalactic medium (CGM). We place these systems along a continuum based on how populated their CGMs are with H i relative to their central disk. All systems kinematically settle similarly by z = 0. The less populated systems tend to form coherently rotating, thin, extended disks while the more populated systems do not. Location on this continuum is independent of disk and halo mass, implying a relation to local environmental factors. Our results indicate a connection between CGM content and disk formation that is not yet fully understood. A second paper investigates observational aspects of these structures.
Repeated exercise produces robust physiological benefits and is the leading lifestyle intervention for human health. The benefits from exercise training result from the remodeling of skeletomuscular, cardiovascular, metabolic, and endocrine systems. In mice, we find that activation of the central nervous system following exercise is essential for subsequent endurance performance and metabolism benefits. Ventromedial hypothalamic steroidogenic factor-1 (SF1) neurons are activated following exercise, and repeated training results in increased post-exercise SF1 neuron activation. Exercise training increases the intrinsic excitability and density of excitatory synapses on SF1 neurons, suggesting that exercise history is encoded through hypothalamic plasticity. Inhibition of SF1 neuron output blocks endurance gains and metabolic improvements that result from exercise training. Conversely, stimulation of SF1 neurons following exercise enhances gains in endurance. These results demonstrate that exercise-induced hypothalamic SF1 neuron activity is essential for the coordination of physiological improvements following exercise training.
