An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada. (arXiv:1911.09763v1 [cs.CY])

The purpose of this paper is to describe and analyze the development of a knowledge-based infrastructure to support MSP decision-making processes. The paper emerged from a study to define specifications for a knowledge-based infrastructure to provide decision support for community-level MSPs in the Canadian province of Quebec. As part of the study, a process assessment…

Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities. (arXiv:1911.09769v1 [cs.CY])

Our objective was to develop and test a new concept (affinity) analogous to multimorbidity of chronic conditions for individuals at census tract level in Memphis, TN. The use of affinity will improve the surveillance of multiple chronic conditions and facilitate the design of effective interventions. We used publicly available chronic condition data (Center for Disease…

Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees. (arXiv:1911.09771v1 [cs.LG])

Gibbs sampling is a Markov chain Monte Carlo method that is often used for learning and inference on graphical models. Minibatching, in which a small random subset of the graph is used at each iteration, can help make Gibbs sampling scale to large graphical models by reducing its computational cost. In this paper, we propose…

Coulomb focusing in retrapped ionization with near-circularly polarized laser field. (arXiv:1911.09805v1 [physics.atom-ph])

The full three-dimensional photoelectron momentum distributions of argon are measured in intense near-circularly polarized laser fields. We observed that the transverse momentum distribution of ejected electrons by 410-nm near-circularly polarized field is unexpectedly narrowed with increasing laser intensity, which is contrary to the conventional rules predicted by adiabatic theory. By analyzing the momentum-resolved angular momentum…

Machine learning for protein folding and dynamics. (arXiv:1911.09811v1 [physics.bio-ph])

Many aspects of the study of protein folding and dynamics have been affected by the recent advances in machine learning. Methods for the prediction of protein structures from their sequences are now heavily based on machine learning tools. The way simulations are performed to explore the energy landscape of protein systems is also changing as…

On the sensitivity of heliosphere models to the uncertainty of the low-energy charge exchange cross section. (arXiv:1911.09823v1 [astro-ph.SR])

Models play an important role in our understanding of the global structure of the solar wind and its interaction with the interstellar medium. A critical ingredient in many types of models are the charge-exchange collisions between ions and neutrals. Some ambiguity exists in the charge-exchange cross-section for protons and hydrogen atoms, depending on which experimental…

On the Role of Solvent in Hydrophobic Cavity-ligand Recognition Kinetics. (arXiv:1911.09838v1 [physics.chem-ph])

Solvent often manifests itself as the key determinant of the kinetic aspect of molecular recognition process. While the solvent is often depicted as a source of barrier in the ligand recognition process by polar cavity, the nature of solvent’s role in the recognition process involving hydrophobic cavity and hydrophobic ligand remains to be addressed. In…

Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach. (arXiv:1911.09843v1 [math.NA])

The issue of the relaxation to equilibrium has been at the core of the kinetic theory of rarefied gas dynamics. In the paper, we introduce the Deep Neural Network (DNN) approximated solutions to the kinetic Fokker-Planck equation in a bounded interval and study the large-time asymptotic behavior of the solutions and other physically relevant macroscopic…

A blessing and a curse: how a supercapacitor’s large capacitance causes its slow charging. (arXiv:1911.09924v1 [physics.chem-ph])

The development of novel electrolytes and electrodes for supercapacitors is hindered by a gap of several orders of magnitude between experimentally measured and theoretically predicted charging time scales. Here, we propose an electrode model, containing many parallel stacked electrodes, that explains the slow charging dynamics of supercapacitors. At low applied potentials, the charging behavior of…

Debiased Inverse-Variance Weighted Estimator in Two-Sample Summary-Data Mendelian Randomization. (arXiv:1911.09802v1 [stat.ME])

Mendelian randomization (MR) has become a popular approach to study the effect of a modifiable exposure on an outcome by using genetic variants as instrumental variables. A challenge in MR is that each genetic variant explains a relatively small proportion of variance in the exposure and there are many such variants, a setting known as…