21 papers · ranked by Valyu relevance
Henry Soldano, Guillaume Santini, Stella Zevio
> Abstract. We discuss pattern languages for closed pattern mining and learning of interval data and distributional data. We first introduce pattern languages relying on pairs of intersection-based constraints or pairs of inclusion based constraints, or both, applied to intervals. We discuss the encoding of such…
Karl Scheifinger, Elina Brutschin, Kian Mintz-Woo, Caroline Zimm + 8 more
Collective climate action hinges on the distribution of benefits and burdens of climate change mitigation. Yet assumptions relevant to distributional justice are frequently made only implicitly in climate change mitigation scenarios. Here, we introduce the patterns of the distributional justice framework that…
Iris Broedelet, Paul Boersma, Judith Rispens
Categorization of sensory stimuli is a vital process in understanding the world. In this paper we show that distributional learning plays a role in learning novel object categories in school-aged children. An 11-step continuum was constructed based on two novel animate objects by morphing one object into the other in…
Sahil Luthra, Austin Luor, Adam T. Tierney, Frederic Dick + 1 more
Humans and other animals use information about how likely it is for something to happen. The absolute and relative probability of an event influences a remarkable breadth of behaviors, from foraging for food to comprehending linguistic constructions -- even when these probabilities are learned implicitly. It is less…
Thanh Thi Nguyen, Ellen Hoffmann, Andreas Buerkert
Understanding and governing human settlement patterns is a major challenge of the urban age. While rural settlements emerge as parts of agricultural landscapes, cities typically evolve in economically strategic locations, and over time form hierarchical systems of cities. Purposeful planning and the collective…
Yuki Kanamori, Shota Nishijima, Ryo Misawa, Takashi Seto + 1 more
Distributional shifts under climate change are increasingly recognized as a biotic change worldwide. However, the effects of distributional shifts on ecosystem variability through changes in biodiversity remain to be clarified. In this study, to elucidate the impact of population-level distributional shifts under…
Michael Kalyuzhny, Jeffrey K. Lake, Annette M. Ostling
Local spatial distributions of populations are often studied in comparison to Complete Spatial Randomness (CSR) and are found to be ubiquitously aggregated, likely due to dispersal limitation. Here we theoretically examine the advantages of comparing observed distributions to simulated populations subject only to drift…
Jeremy M. Cohen, Walter Jetz
As global change accelerates, accurate predictions of species distributions and biodiversity patterns are critical to prevent population declines and biodiversity loss. However, at continental and global scales, these predictions are often derived from species distribution models (SDMs) fit at coarse spatial grains…
Feng Lin
Chronic stress is associated with alterations in neural circuit dynamics, yet the computational principles underlying these changes remain incompletely understood. Here, we reanalyzed in vivo GCaMP8s recordings from BLA-DMS and CeA-DMS projection pathways using three complementary descriptive approaches. First…
Ian Dobson, Daniel Adrian Maldonado, Mihai Anitescu
scale based on utility data Authors: ['Ian Dobson' 'Daniel Adrian Maldonado' 'Mihai Anitescu'] Abstract—When there is a fault, the protection system automatically removes one or more transmission lines on a fast time scale of less than one minute. The outaged lines form a pattern in the transmission network. We extract…
Yunzhang Li, Jianjun Du, Disi Ran, Cao Yi + 1 more
The rapid modernization in China has aggravated the reduction of the traditional settlements and aroused concern about the protection and research. This study aims to examine the spatial-temporal variations Tujia traditional settlements in China and to delineate the driving mechanism of the settlement distribution.…
Michael Fuchs, Hexuan Liu, Tsan‐Cheng Yu
We prove limit laws for the number of occurrences of a pattern on the fringe of a ranked tree-child network which is picked uniformly at random. Our results extend the limit law for cherries proved by Bienvenu et al. (2022). For patterns of height 1 and 2, we show that they either occur frequently (mean is…
Yingying Zhang, Miroslav Položij, Thomas Heine
Covalent organic frameworks (COFs) are among the fast-est growing classes of materials with an almost unlimited number of achievable structures, topologies, and func-tionalities. Their exact structure remains, however, un-known to date as reflected by the significant mismatch between experimental powder X-ray…
Christoph Bandt
Order patterns apply well to many fields, because of minimal stationarity assumptions. Here we fix the methodology of patterns of length 3 by introducing an orthogonal system of four pattern contrasts. These contrasts are statistically independent and turn up as eigenvectors of a covariance matrix both in the…
Benjamin James Binder
Diffusion-limited processes (DLP) are found in various physical, biological, and engineering systems, yet their quantification within complex spatial domains remains a challenge. In this study, we develop novel one-dimensional non-periodic and periodic pair-correlation functions (PCF) to assess the spatial patterns of…
Alexander Schnurr, Svenja Fischer
When using ordinal patterns, which describe the ordinal structure within a data vector, the problem of ties appeared permanently. So far, model classes were used which do not allow for ties; randomization has been another attempt to overcome this problem. Often, time periods with constant values even have been counted…
Cleber Ten Caten, Tad Dallas
Populations fluctuate over time and across geographical space, and understanding how different factors contribute to population variability is a central goal in population ecology. There is a particular interest in identifying trends of population variability within geographical ranges as population densities of…
Authors not listed
Acoustic measurements of batteries are known to be correlated to their state-of-charge, creating opportunities for state estimation that do not rely on electrical signals. State estimators are typically parametric models fitted from data, often from the broad toolbox of machine learning. Such models can be easily…
Matthew Bailey, Mark Wilson
One of the critical tools of persistent homology is the persistence diagram. We demonstrate the applicability of a persistence diagram showing the existence of topological features (here rings in a 2D network) generated over time instead of space as a tool to analyse trajectories of biological networks. We show how the…
Authors not listed
We compare continuous monitoring systems (CMS) from three different vendors on six operating oil and gas sites in the Appalachian Basin using several months of data. We highlight similarities and differences between the three CMS solutions when deployed in the field and compare their output to concurrent top-down…
Authors not listed
Laser modification of polymer surfaces is critical in many contexts including self-cleaning materials, microelectronics, and biomedical research. Despite their utility, accessing these modified polymers requires expensive or complex materials and multi-step fabrication, masking, and washing processes. Here, we present…