Results 41 to 50 of about 49,929 (217)

Ligand‐Induced Electronic Response Enables Predictive QM/MM Simulations

Advanced Science, EarlyView.
Quantum mechanics/molecular mechanics (QM/MM) simulations are powerful tools for modeling complex molecular systems; however, their predictability has been constrained by the ambiguous definition of the QM region. An electronically informed protocol is introduced that defines QM regions by quantifying guest‐induced orbital shifts and charge ...
Nichika Ozawa, Nahoko Kuroki, Hirotoshi Mori   +2 more
wiley   +1 more source

Adaptación de material educativo guiada por IMS Learning Design: experiencias con LRN

RIED: Revista Iberoamericana de Educación a Distancia, 2010
La posibilidad de adaptar los materiales educativos de forma personalizada para cada alumno abre la puerta a nuevos modelos pedagógicos, cuya implementación práctica no sería realista sin el adecuado soporte informático.
Derick Leony Arreaga, Luis de la Fuente Valentín, Abelardo Pardo, Carlos Delgado Kloos   +3 more
doaj   +1 more source

Virtual communities, research groups and projects on IMS Learning Design. State of the art, key factors and forthcoming challenges [PDF]

, 2005
We carry out a report showing the state of the art about virtual communities, research groups and projects focused on the e-learning specification IMS Learning Design or directly related to it.
Burgos, Daniel, Koper, Rob
core   +1 more source

User identity issues in mashups for learning experiences using IMS Learning Design [PDF]

International Journal of Technology Enhanced Learning, 2011
The combination of services that provide personal information in technologies such as educational mashups brings some issues in the management of users' identity and authorization. This article presents a scenario based on the fact that an IMS LD server requires information relevant to each learner, and this information is provided by external services.
Fuente Valentín, Luis de la, Leony, Derick, Pardo Sánchez, Abelardo, Delgado Kloos, Carlos   +3 more
openaire   +3 more sources

Parametric Optimization of PEDOT:PSS Aerosol Jet Printing for Enhanced Line Morphology in Flexible Electronics

Advanced Electronic Materials, EarlyView.
This work maps and optimizes aerosol‐jet printing of PEDOT:PSS on flexible polyimide. By co‐tuning carrier and sheath gas flows, print speed, and solvent composition with surface activation, continuous, uniform microlines with sharp edges and minimal overspray are achieved.
Md Shariful Islam, Christian A. Zorman, Changyong (Chase) Cao   +2 more
wiley   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Panning for gold: designing pedagogically-inspired learning nuggets [PDF]

, 2006
Tools to support teachers and learning technologists in the creation of effective learning designs are currently in their infancy. This paper describes a metadata model, devised to assist in the conception and design of new learning activities, that has ...
Bailey, Chris, Conole, Gráinne, Davis, Hugh C., Fill, Karen, Zalfan, Mohd T.   +4 more
core   +1 more source

Designing context-aware adaptive units of learning based on IMS-LD standard [PDF]

, 2009
Learning contents adaptation has been a subject of interest in the research area of the adaptive hypermedia systems. Defining which variables and which standards can be considered to model adaptive content delivery processes is one of the main challenges
Baldiris Navarro, Silvia Margarita, Fabregat Gesa, Ramon, Gómez Ardila, Sergio Eduardo, Huerva Denyer, David, Mejía Corredor, Carolina   +4 more
core   +3 more sources

Predicting High‐Resolution Spatial and Spectral Features in Mass Spectrometry Imaging with Machine Learning and Multimodal Data Fusion

Advanced Intelligent Discovery, EarlyView.
A multimodal fusion pipeline predicts high‐resolution ion distributions in imaging mass spectrometry by integrating Fourier transform ion cyclotron resonance, time‐of‐flight matrix‐assisted laser desorption/ionization, and time‐of‐flight secondary ion mass spectrometry data.
Md Inzamam Ul Haque, Ramakrishnan Kannan, Jacob D. Hinkle, Sylwia A. Stopka, Anton V. Ievlev, Nathalie Y. R. Agar, Olga S. Ovchinnikova, Debangshu Mukherjee   +7 more
wiley   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source