Results 41 to 50 of about 60,577 (257)

Tema 2: Open Roberta - A Web Based Approach to Visually Program Real Educational Robots

Læring og Medier, 2015
The aim of the Open Roberta initiative is to support visual online programming of educational robots. The goal is to overcome technical and professional barriers for teachers and students alike at home or in the classrooms.
Markus Ketterl, Beate Jost, Thorsten Leimbach, Reinhard Budde   +3 more
doaj   +1 more source

Too Complex to Choose? The Role of Heuristics in Shaping Farmers' Willingness to Pay for Income Stabilization Tool in Italy

Agribusiness, EarlyView.
ABSTRACT European agriculture is increasingly exposed to economic instability driven by extreme weather events, market volatility, and geopolitical tensions. To manage these growing risks, farmers are encouraged to adopt innovative risk management strategies such as the Income Stabilization Tool (IST), which offers protection against severe income ...
Alice Stiletto, Ruggiero Rippo, Samuele Trestini, Elisa Giampietri, Roberta Raffaelli, Simone Cerroni   +5 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Measuring Local Exothermic Effects During the Oxidative Coupling of Methane Using Operando Luminescence Thermometry

Angewandte Chemie, EarlyView.
Operando luminescence thermometry shows that the local catalyst temperature can exceed the set oven temperature by almost 250°C during the exothermic oxidative coupling of methane process. We demonstrate how the reactor dimensions, catalyst grain size, and reactant feed mixture affect the local temperature.
Daniël W. Groefsema, Freddy T. Rabouw, D. Michiel Boele, A.N. René Bos, Alexander P. van Bavel, Bert M. Weckhuysen   +5 more
wiley   +2 more sources

Potrzeby edukacyjne nauczycieli kształcenia zawodowego w świetle badań własnych [PDF]

Edukacja Ustawiczna Dorosłych
The article was devoted to the analysis of the educational needs of vocational education teachers based on research conducted among 111 respondents from vocational schools in the Masovian Voivodeship.
Monika Mazur-Mitrowska, Elżbieta Małek
doaj   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

Enhanced Formation of Dicarboxylic Acids in the Catalytic Oxidation of Polyethylene With O2 and NOx

Angewandte Chemie, EarlyView.
The oxidation of polyethylene in the presence of a mixture of O2 and NOx and with Cu2+/V5+ as catalyst yields ∼51 mol% diacids, while retaining ∼80 mol% of the carbon in the oil fraction. The developed method is robust and tolerates several polymer types as well as impurities.
Tom J. Smak, Rinke Altink, Ina Vollmer, Bert M. Weckhuysen   +3 more
wiley   +2 more sources

A Deep Learning Approach to Classifying Software Requirements: The Application of Transformer-Based Ensemble Learning and Attention-Based Fusion

Foundations of Computing and Decision Sciences
The functional requirements (FRs) classification in software requirements classification (SRC) is a difficult task due to class imbalance, fine-grained subcategories, and semantic complexities. Existing Machine Learning (ML) and Deep Learning (DL) models
Kiani Azaz Ahmed
doaj   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Vapor‐Phase Grain‐Boundary Anchoring Enables Molecular Toughening and Record Bending Endurance in Pilot‐Scale Roll‐to‐Roll‐Printed Flexible Perovskite Modules

Angewandte Chemie, EarlyView.
A vapor‐phase molecular toughening strategy is developed for pilot‐scale roll‐to‐roll (R2R) ‐compatible fabrication of flexible perovskite solar modules. Thiol vapor selectively regulates crystallization and anchors at grain boundaries, reducing defects while enhancing mechanical resilience.
Lirong Dong, Viktor Rehm, Shudi Qiu, Zexian Han, Naveen Harindu Hemasiri, Michael Wurmshuber, Michael Wagner, Cindy‐Ly Tavera‐Méndez, Dorothea Wisser, Chaohui Li, Robin Basu, Leopold Lahn, Olga Kasian, Sarmad Feroze, Wolfgang Heiss, Andreas Distler, Hans‐Joachim Egelhaaf, Fu Yang, Christoph J. Brabec   +18 more
wiley   +2 more sources