Results 91 to 100 of about 6,804 (251)
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder causing a progressive motor weakness of all voluntary muscles, whose progression challenges communication modalities such as handwriting or speech. The current study investigated whether
Timothée Lenglet +18 more
doaj +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Individuals with Parkinson’s disease often face legal disputes over documents signed before the ongoing disease, since fine motor skill changes can lead to alterations in handwriting.
Mariana Louro +8 more
doaj +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Handwriting Difficulties: Introducing an Instrument
Objectives: The main purpose of this study is to produce an instrument for handwriting evaluation and to execute it on mentally retarded (MR) students. Methods: This was a descriptive, cross-sectional, and relationship study.
Fatemeh Hadavandkhani +4 more
doaj
Legible handwriting refers to the written work that can be easily read and comprehended by both the writer and other people. Despite significant progress in the field of digital handwriting processing, enhancing the visual quality of handwritten content ...
Karina Korovai +5 more
doaj +1 more source
Use of E-exams in High Stakes Law School Examinations: Student and Staff Reactions
Australian law schools have just begun to move towards e-exams. There are a number of drivers encouraging Australian universities to introduce e-exams, including economic pressures, a desire to reduce administrative burdens, and changes to workplaces ...
Alex Steel +3 more
doaj +1 more source

