Results 221 to 230 of about 276,684 (327)

Modeling and Analyzing Urban Networks and Amenities With OSMnx

open access: yesGeographical Analysis, EarlyView.
ABSTRACT OSMnx is a Python package for downloading, modeling, analyzing, and visualizing urban networks and any other geospatial features from OpenStreetMap data. A large and growing body of literature uses it to conduct scientific studies across the disciplines of geography, urban planning, transport engineering, computer science, and others.
Geoff Boeing
wiley   +1 more source

Masking Ability of CAD‐CAM Materials at Different Thicknesses: A Study on Color, Translucency, and Infinite Optical Thickness

open access: yesJournal of Esthetic and Restorative Dentistry, EarlyView.
ABSTRACT Objective To evaluate the masking ability of different thicknesses of CAD‐CAM resin‐matrix and feldspar porcelain materials. Materials and Methods Specimens (Ø7.5 mm, thickness 0.5, 1.0, and 1.5 mm, n = 3/material) were fabricated from Lava Ultimate‐LU, Grandio Blocs‐GB, VITA Enamic‐VE, and VITA Mark II‐VM.
Bruno Arruda Mascaro   +5 more
wiley   +1 more source

Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology

open access: yesJournal of Microscopy, EarlyView.
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz   +4 more
wiley   +1 more source

The Programmable Nature of Drug-Polymer Systems and Its Implications. [PDF]

open access: yesPolymers (Basel)
Ghizdovat V   +7 more
europepmc   +1 more source

Tensor Changepoint Detection and Eigenbootstrap

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta   +2 more
wiley   +1 more source

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