On the Abstract Structure of the Behavioral Approach to Systems Theory. (arXiv:1911.10398v1 [eess.SY])

We revisit the behavioral approach to systems theory and make explicit the abstract pattern that governs it. Our end goal is to use that pattern to understand interaction-related phenomena that emerge when systems interact. Rather than thinking of a system as a pair $(\mathbb{U}, \mathcal{B})$, we begin by thinking of it as an injective map…

Prediction of individual progression rate in Parkinson’s disease using clinical measures and biomechanical measures of gait and postural stability. (arXiv:1911.10227v1 [eess.SP])

Parkinson’s disease (PD) is a common neurological disorder characterized by gait impairment. PD has no cure, and an impediment to developing a treatment is the lack of any accepted method to predict disease progression rate. The primary aim of this study was to develop a model using clinical measures and biomechanical measures of gait and…

Improved motion correction for functional MRI using an omnibus regression model. (arXiv:1911.10229v1 [eess.IV])

Head motion during functional Magnetic Resonance Imaging acquisition can significantly contaminate the neural signal and introduce spurious, distance-dependent changes in signal correlations. This can heavily confound studies of development, aging, and disease. Previous approaches to suppress head motion artifacts have involved sequential regression of nuisance covariates, but this has been shown to reintroduce artifacts. We…

Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning. (arXiv:1911.10241v1 [q-bio.QM])

Modeling the relationship between chemical structure and molecular activity is a key task in drug development and precision medicine. In this paper, we utilize a novel deep learning architecture to jointly train coordinated embeddings of chemical structures and transcriptional signatures. We do so by training neural networks in a coordinated manner such that learned chemical…

Biological Regulatory Networks are Minimally Frustrated. (arXiv:1911.10252v1 [q-bio.MN])

Characterization of the differences between biological and random networks can reveal the design principles that enable the robust realization of crucial biological functions including the establishment of different cell types. Previous studies, focusing on identifying topological features that are present in biological networks but not in random networks, have, however, provided few functional insights. We…

$C$-compact orthogonally additive operators in vector lattices. (arXiv:1911.10255v1 [math.FA])

We consider $C$-compact orthogonally additive operators in vector lattices. In the first part of the article we present some examples of $C$-compact operators defined on a vector lattice and taking value in a Banach space. It is shown that the set of all $C$-compact orthogonally additive operators from a vector lattice $E$ to an order…

DTF: Deep Tensor Factorization for Predicting Anticancer Drug Synergy. (arXiv:1911.10313v1 [q-bio.QM])

Combination therapies have been widely used to treat cancers. However, it is cost- and time-consuming to experimentally screen synergistic drug pairs due to the enormous number of possible drug combinations. Thus, computational methods have become an important way to predict and prioritize synergistic drug pairs. We proposed a Deep Tensor Factorization (DTF) model, which integrated…

Local geometric properties in quasi-normed Orlicz spaces. (arXiv:1911.10256v1 [math.FA])

Several local geometric properties of Orlicz space $L_\phi$ are presented for an increasing Orlicz function $\phi$ which is not necessarily convex, and thus $L_\phi$ does not need to be a Banach space. In addition to monotonicity of $\phi$ it is supposed that $\phi(u^{1/p})$ is convex for some $p>0$ which is equivalent to that its lower…

Jackiw-Rebbi states and trivial states in interfaced binary waveguide arrays with cubic-quintic nonlinearity. (arXiv:1911.10260v1 [physics.optics])

We systematically investigate two types of localized states – one is the optical analogue of the quantum relativistic Jackiw-Rebbi states, and the other is the trivial localized state – in interfaced binary waveguide arrays in the presence of cubic-quintic nonlinearity. By using the shooting method we can exactly calculate the profiles of these nonlinear localized…

A low dimensional model for bike sharing demand forecasting. (arXiv:1911.10266v1 [physics.soc-ph])

Big, transport-related datasets are nowadays publicly available, which makes data-driven mobility analysis possible. Trips with their origins, destinations and travel times are collected in publicly available big databases, which allows for a deeper and richer understanding of mobility patterns. This paper proposes a low dimensional approach to combine these data sources with weather data in…