Results 181 to 190 of about 102,917 (274)

Data assimilation reveals behavioral dynamics of sea cucumbers as a model for slow-moving benthic animals. [PDF]

Sci Rep
Takagi T, Tanaka Y, Sasano E, Kanda K, Sakai Y.   +4 more
europepmc   +1 more source

U.S. Consumers Sometimes Prefer Seemingly Redundant Labels

Agribusiness, EarlyView.
ABSTRACT More food products are carrying seemingly redundant labels, which are marketing claims or certifications that reiterate product attributes already conveyed. In this paper, we aim to answer two questions on redundant labels. First, do consumers view redundant labels as deceptive or informative? Second, how do redundant labels affect product and
Jackson Lusk, Brenna Ellison, Trey Malone   +2 more
wiley   +1 more source

Silicon nanowire based angle robust ultrasensitive hyperbolic metamaterial biosensor. [PDF]

Nanoscale Adv
Golder B, Salman Z, Das R, Ahammad A.
europepmc   +1 more source

Hausdorff dimension of boundaries of relatively hyperbolic groups [PDF]

, 2019
Leonid Potyagailo, Wenyuan Yang
openalex   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

A note on the Farrell-Jones conjecture for relatively hyperbolic groups [PDF]

, 2013
Yago Antolín, Giovanni Gandini
openalex   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Broadband near-infrared hyperbolic polaritons in MoOCl₂. [PDF]

Nat Commun
Li Y, Zhang Y, Zhang W, Li X, Tang J, Xiao J, Zhang G, Liao X, Jiang P, Liu Q, Luo Y, Cao Z, Lyu Q, Tong Y, Yang R, Yang H, Sun Q, Gao Y, Wang P, Chen Z, Liu W, Wang S, Lyu G, Hu X, Aeschlimann M, Gong Q.   +25 more
europepmc   +1 more source

Geodesics in trees of hyperbolic and relatively hyperbolic groups [PDF]

, 2007
François Gautero
openalex   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source