Results 191 to 200 of about 106,287 (257)

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Who Owns the Output? Authorship, Creative Labour, and Innovation Capability in Human‐AI Collaboration

AI &Innovation, EarlyView.
ABSTRACT Generative AI is radically transforming how creative authorship is understood, attributed, and governed across the world’s cultural and creative industries. As AI systems increasingly produce outputs that organisations and audiences recognise as creative, foundational assumptions about who authors creative work, who receives credit for it, and
Ololade A. Shonubi
wiley   +1 more source

Phylogenomic insights into the genus Tulipa (Liliaceae): Taxonomy, evolution, and biogeography

American Journal of Botany, EarlyView.
Abstract Premise Tulips are one of the best‐known geophytes, but their taxonomy remains convoluted and their evolutionary history poorly understood. Here, we used plastid genomes to identify some issues with current classification, understand the diversification history of the genus, and identify potential species linked to historical cultivation ...
Brett Wilson, Maarten J. M. Christenhusz, Nathanael Walker‐Hale, Natalya Beshko, Mariyo Boboev, Colin Clubbe, Davron Dekhkonov, Aibek Dolotbakov, Mehmet Firat, Thomas Freeth, Sjaak de Groot, Avni Hajdari, Georgy A. Lazkov, Ormon Sultangaziev, Komiljon S. Tojibaev, Ben J. M. Zonneveld, Kaiyrkul T. Shalpykov, Samuel F. Brockington   +17 more
wiley   +1 more source

Using photovoice to understand community perceptions of firearm risks and protective factors among Asian Americans

American Journal of Community Psychology, EarlyView.
Abstract This study used photovoice methodology to explore Asian Americans' perspectives on the root causes and protective factors of firearm violence in their communities. Photovoice provided a participatory platform for community members to document lived experiences and identify priorities for change.
Tsu‐Yin Wu, Szu‐Hsien Chen, Xining Yang, Ken Resnicow, Hsing‐Fang Hsieh   +4 more
wiley   +1 more source