Results 71 to 80 of about 80,031 (305)

ZrCo3B2 and HfCo3B2 Electrodes Go on Stage for Oxygen Evolution Reaction

Advanced Science, EarlyView.
The intermetallic compounds ZrCo3B2 and HfCo3B2 with distinctive chemical bonding features are excellent OER precursors, restructuring into OER‐active electrocatalysts delivering significantly high OER activities compared to the elemental Co, which is obvious from their lower onset potentials and increased obtained current densities.
Fatma Aras, Ulrich Burkhardt, Simone G. Altendorf, Yuri Grin, Iryna Antonyshyn   +4 more
wiley   +1 more source

Intraocular lens power calculation using total keratometry and ray tracing in eyes with previous small incision lenticule extraction – A case series

American Journal of Ophthalmology Case Reports
Purpose: To assess the IOL power calculation accuracy in post-SMILE eyes using ray tracing and a range of total keratometry based IOL calculation formulae. Observations: Ray tracing showed excellent predictability in IOL power calculation after SMILE and
Roman Lischke, Rainer Wiltfang, Martin Bechmann, Thomas C. Kreutzer, Siegfried G. Priglinger, M. Dirisamer, Nikolaus Luft   +6 more
doaj   +1 more source

Short and Long Term Smile Effects: The Binomial Normal Mixture Diffusion Model [PDF]

This paper extends the normal mixture diffusion (NMD) local volatility model of Brigo and Mercurio (2000, 2001a,b, 2002) so that it explains both short-term and long-term smile effects.
Carol Alexander
core  

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

Students Collaboratively Prompting ChatGPT

Computers
This study investigated how undergraduate students collaborated when working with ChatGPT and what teamwork approaches they used, focusing on students’ preferences, conflict resolution, reliance on AI-generated content, and perceived learning outcomes ...
Maria Perifanou, Anastasios A. Economides   +1 more
doaj   +1 more source

Reversible, Chemically Gated FRET via Ligand‐Activated Acceptors

Advanced Science, EarlyView.
Fluorogen binding turns the compact FAST tag into a tunable FRET acceptor, with ligand chemistry programming spectral overlap and excited‐state lifetimes. Fluorescence‐lifetime imaging reads out energy transfer through the shortened donor lifetime, while simply adding or washing out the dye switches FRET on and off, reversibly mapping the supramodular ...
Nivedita Singh, Smruti Ranjan Nayak, Sanjay Kumar Mohanty, Aishwarya Hanumantharaju, Amala Shaju, Mini Jose, Aravind Penmatsa, Deepak Nair   +7 more
wiley   +1 more source

Collaborative Uses of GenAI Tools in Project-Based Learning

Education Sciences
Artificial intelligence (AI) is forcing a dramatic transformation of the methods by which we acquire knowledge and engage in collaborative learning. Although there are several studies on how AI can support collaborative learning, there are no published ...
Maria Perifanou, Anastasios A. Economides   +1 more
doaj   +1 more source

Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution

Advanced Science, EarlyView.
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge, Xiangyang Ma, Jiyan Li, Mengxiang Wang, Fuping Lu, Yihan Liu, Lin Wang   +6 more
wiley   +1 more source

Predicting the Reactivity of Acyclic Silylenes and Germylenes in Hydrogen Activation Using Machine Learning

Advanced Science, EarlyView.
Statistical models for the prediction of the energy profile of H2 activation by silylenes and germylenes were developed. A simple model based on increments of the elements in α‐position enabled robust energy prediction, extrapolation to new structures, and transferability to new tetrylenes and substrates.
Michelle Kleinhaus, Henning Remm, Prasenjit Palui, Alexander Linke, Viktoria H. Gessner   +4 more
wiley   +1 more source

qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness

Advanced Science, EarlyView.
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang, Ziyan Zhang, Swee Hong Ng, Haipeng Gong   +3 more
wiley   +1 more source