Results 91 to 100 of about 242 (196)

Quantifying temporal dynamics of greenhouse gas emissions in lake mesocosms: Deployment of a low‐cost measurement system

Limnology and Oceanography: Methods, EarlyView.
Abstract Greenhouse gas (GHG) emissions from freshwater ecosystems contribute significantly to global carbon budgets, yet they remain poorly constrained due to limited high‐frequency measurements. We tested a low‐cost, high‐frequency GHG measurement system in a long‐term mesocosm experiment in Lemming, Denmark, over a 7‐month period, focusing on CO2 ...
Tuba Bucak, Eti Ester Levi, Claus Melvad, Jianming Deng, Mikhail Mastepanov, Robert Ladwig, Thomas Alexander Davidson   +6 more
wiley   +1 more source

Navigating the landscape of academic prose: A corpus-driven inquiry into rhetorical preferences and their pedagogical implications for advanced L2 writers. [PDF]

PLoS One
Yu Y, Xu Y, Wu Y.
europepmc   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

Environmental Regulation Using Plasticoding for the Evolution of Robots. [PDF]

Front Robot AI, 2020
Miras K, Ferrante E, Eiben AE.
europepmc   +1 more source

Closing the Gate Before the Horse is out of the Barn: A Model to Effectively Predict the First Fall in Patients with Parkinson's Disease

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Most fall‐prediction models in Parkinson's disease (PD) rely on prior falls, limiting prevention. The Waiting Room of the Future (WROTF) platform collects standardized motor and cognitive measures during routine visits, integrated into electronic health records (EHR).
Saar Anis, Eric Zimmerman, Maxime Munyeshyaka, Hubert H. Fernandez, Anson B. Rosenfeldt, Jay L. Alberts   +5 more
wiley   +1 more source

Computing double-pushout graph transformation rules and atom-to-atom maps from KEGG RCLASS data. [PDF]

Algorithms Mol Biol
Beier N, Gatter T, Andersen JL, Stadler PF.   +3 more
europepmc   +1 more source

A Survey of Orthographic Information in Machine Translation. [PDF]

SN Comput Sci, 2021
Chakravarthi BR, Rani P, Arcan M, McCrae JP.   +3 more
europepmc   +1 more source

Treatment Continuation and Long‐Term Outcomes of Perampanel in Primary Orthostatic Tremor; A Cohort Study

Movement Disorders Clinical Practice, EarlyView.
Background Primary orthostatic tremor (POT) is a rare hyperkinetic movement disorder with limited and largely ineffective treatment options. Perampanel has been suggested as a therapy, but has so far only been investigated in small studies with short duration.
Wietske A. Babeliowsky, Bart Swinnen, Jeroen Hoogland, Rob M.A. de Bie, Anne‐Fleur van Rootselaar   +4 more
wiley   +1 more source

Riemannian L-systems: modelling growing forms in curved spaces. [PDF]

Quant Plant Biol
Godin C, Boudon F.
europepmc   +1 more source

High Prevalence and Clinical Impact of Fibromyalgia in Functional Motor Disorder

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Fibromyalgia is characterized by widespread pain, fatigue, sleep and cognitive symptoms. It overlaps clinically with functional motor disorder (FMD), yet its prevalence and impact in FMD remain uncertain. Objective To determine the prevalence of fibromyalgia in FMD using the current criteria and evaluate its effects on motor ...
Tereza Serranová, Lucia Nováková, Martin Jirásek, Barbora Křupková, Evžen Růžička, Michele Tinazzi, Tomáš Sieger   +6 more
wiley   +1 more source