Results 31 to 40 of about 232 (219)

On the Prospects for Policy Learning in Post-Devolution Scotland

Anali Hrvatskog Politološkog Društva, 2012
In a context of increasingly complex and difficult policy challenges, serious questions are being raised about the effectiveness of governments. Recent work on the attributes of 'good government' has emphasized the importance of a capacity for learning ...
Ian Sanderson
doaj  

APRENDIZAGEM BASEADA NO LUGAR: UTILIZAÇÃO DA NATUREZA NA EDUCAÇÃO DE CRIANÇAS PEQUENAS EM ÁREAS RURAIS NA NORUEGA E NA ESCÓCIA

Cadernos Cedes
RESUMO: Dois estudos de caso de aprendizagem ao ar livre, da Noruega e da Escócia, ilustram maneiras pelas quais as comunidades podem ajudar no desenvolvimento e na conformação de suas escolas e serviços de educação infantil.
Bronwen J. Cohen, Wenche Rønning
doaj   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Rola sektora publicznego oraz prywatnego (for i non-profit) w zmniejszaniu różnic w edukacji przedszkolnej w Polsce AD 2013. Zmodyfikowany model mieszany czy prywatyzacja usług przedszkolnych?

Problemy Wczesnej Edukacji, 2014
The role of the public and the private for and non-profit sectors in decrease in inequalities in preschool education in Poland in 2013. Modified welfare mix or privatization of preschool services? The aim of this article is to investigate the role of the
Anna Ciepielewska-Kowalik
doaj  

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Vernacular Futurism: How Persian Language Users Imagine AI

AI &Innovation, EarlyView.
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley   +1 more source

PbAT: A user‐friendly R/Shiny platform for data‐driven decision support in crop improvement

Applications in Plant Sciences, EarlyView.
Abstract Premise Modern plant breeding requires robust analysis of complex, multi‐environment datasets to identify superior genotypes. Although R offers powerful statistical packages, their use often requires programming expertise. Existing graphical user interface (GUI)‐based tools are either limited in scope or not openly accessible, leaving breeders
Krishnan P. Abhijith, K. K. Vinod, Ranjith Kumar Ellur, K. T. Ravikiran, Rachit Kumar Saxena, Vignesh Muthusamy, S. Gopala Krishnan   +6 more
wiley   +1 more source

Success Stories from a Democratized Experimentation Platform

, 2020
We demonstrate the effectiveness of democratization and efficient computation as key concepts of our experimentation platform (XP) by presenting four new models supported by the platform: 1) Weighted least squares, 2) Quantile bootstrapping, 3) Bayesian shrinkage, and 4) Dynamic treatment effects.
Forsell, Eskil, Beckley, Julie, Ejdemyr, Simon, Hannan, Veronica, Rhines, Andy, Tingley, Martin, Wardrop, Matthew, Wong, Jeffrey   +7 more
openaire   +2 more sources

Charlotte Pommer: Resistance fighter and female pioneer of German anatomy

Anatomical Sciences Education, EarlyView.
Abstract This article examines the biography and unique case of Charlotte Pommer (1914–2004), the only anatomist documented to have left the field during the Nazi period after encountering the regime's victims on the dissection table. While she is known for her resistance activities, newly presented documentation reveals her role as the provisional ...
Tim S. Goldmann
wiley   +1 more source

Application of 3D‐Slicer combined with 3D printing technology in training neurosurgery resident physicians' imaging spatial cognition and clinical reasoning: A self‐controlled before‐ and after‐study

Anatomical Sciences Education, EarlyView.
Abstract Neurosurgical residency training requires advanced spatial cognition and 3D anatomical understanding, which traditional methods often fail to adequately develop. This study evaluated a novel educational model integrating 3D Slicer and 3D printing technology to enhance imaging spatial cognition and clinical reasoning among neurosurgery ...
Li Xueyu, Fan Yuanxian, Chen Jiaxing, Li Chuanyu, Chen Yuanbiao, Huang Haineng, Huang Huadong, Luo Kunxiang, Wei Shiyin, Tan Rong   +9 more
wiley   +1 more source