Results 21 to 30 of about 1,891 (216)

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

FEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer, Pawel Rubach, Zbigniew Dauter, Wojciech Dec, Dariusz Brzezinski, Marta Kulik, Wladek Minor, Mariusz Jaskolski   +7 more
wiley   +1 more source

BUDGETARY POLICY IN THE EUROPEAN UNION UNDER GEOECONOMIC UNCERTAINTY: TRENDS, CHALLENGES, AND THE 2024 REFORM OF THE STABILITY AND GROWTH PACT

Aktualʹnì Problemi Rozvitku Ekonomìki Regìonu
The article explores the evolution and transformation of budgetary policy in the European Union (EU) in the context of growing geoeconomic uncertainty, with a particular focus on the period from 2013 to 2024.
S. O. Yakubovskiy
doaj   +1 more source

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

FEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page, Rachel J. Hunt, Lauren J. Albee, Daniel Berwick, Alison Snape   +4 more
wiley   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Algorithmic Crawling vs. Copyright Protection: Defining the Boundaries of Fair Use in Text and Data Mining for AI Training

European Journal of Risk Regulation
The advancement of AI relies on text and data mining (TDM) to acquire training data, yet its large-scale algorithmic crawling activities fundamentally conflict with copyright regimes. Through comparative legal research, this article reveals the divergent
Siyang Chen, Xinxuan Long
doaj   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

Institutional framework of the new economic governance in the European Union (European semester) [PDF]

Zbornik Radova Pravnog Fakulteta u Nišu, 2014
The subject of analysis in this paper is the institutional framework of the new economic governance in the European Union that has arisen as response of the member countries to the consequences of the global economic and financial crisis.
Dimitrijević Marko
doaj   +1 more source

Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?

Arthritis Care &Research, Accepted Article.
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo, Mrinalini Dey, Jinoos Yazdany   +2 more
wiley   +1 more source

IMPACT OF THE GLOBAL FINANCIAL CRISIS ON SOVEREIGN DEBT IN THE EUROPEAN UNION [PDF]

Annals of the University of Oradea: Economic Science, 2014
At European Union level, the global financial crisis intensified the issue of sovereign debts and member states had to implement a series of fiscal measures in order to reduce the budgetary deficit and public debts, that have peaked in the last decades ...
Condea Bogdan Virgil, Harangus Daniela, ,   +3 more
doaj  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source