Results 121 to 130 of about 27,382 (292)
Recent advances in automatic subtitle generation have primarily focused on speech recognition, whereas subtitle generation for nonverbal sound effects has received comparatively little attention.
Hyeyoon Jung, Kyeongsu Byun, Joonho Kwon
doaj +1 more source
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
Catalytic strain‐release ring opening and functionalizations of 1‐azabicyclo[1.1.0]butanes (ABBs) represent a promising strategy for accessing diverse azetidine products. These transformations proceed via polar pathways, radical pathways, and hybrid mechanisms that combine both.
James Shao‐Jiun Yang +1 more
wiley +2 more sources
The growing popularity of intralingual English subtitles in audiovisual content is transforming how both native and non-native English speakers engage with media.
Agnieszka Szarkowska +4 more
doaj +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
To Greater Twist: A Kinetically Biased π‐Radical Cascade
π‐Radical cascades enable step‐economic construction of complex polycyclic aromatic frameworks. In this work, we show that a multifurcating pathway can be kinetically steered toward a single, more distorted product. This counterintuitive “falling‐upward” outcome arises from an intrinsic mechanistic bias, revealing a broader dimension of control in π ...
Yong Yang +8 more
wiley +2 more sources
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Up to 16% Optical Carbon‐13 Hyperpolarization of Donor–Acceptor Molecules at 14.1 T
Up to 16% 13C nuclear polarization is achieved using a rationally designed photo‐CIDNP polarizing agent (PA) in magic‐angle‐spinning NMR experiments at 14.1 T. The PA was designed using a combination of theoretical photocycle calculations and magnetic field dependent experiments to identify important new design principles.
Marcel Levien +10 more
wiley +2 more sources

