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Prompt tuning (PT) offers a cost-effective alternative to fine-tuning large-scale pre-trained language models (PLMs), requiring only a few parameters in soft prompt tokens added before the input text. However, existing PT approaches face…

Computation and Language · Computer Science 2025-02-19 Pengxiang Lan , Haoyu Xu , Enneng Yang , Yuliang Liang , Guibing Guo , Jianzhe Zhao , Xingwei Wang

Tumor Treating Fields (TTFields) is an FDA approved treatment for specific types of cancer and significantly extends patients life. The intensity of the TTFields within the tumor was associated with the treatment outcomes: the larger the…

Computer Vision and Pattern Recognition · Computer Science 2020-10-07 Reuben R Shamir , Zeev Bomzon

Protein phosphorylation is a reversible post-translational modification commonly used by cell signaling networks to transmit information about the extracellular environment into intracellular organelles for the regulation of the activity…

Molecular Networks · Quantitative Biology 2016-11-17 Marylens Hernandez , Alexander Lachmann , Shan Zhao , Kunhong Xiao , Avi Ma'ayan

A new, versatile, multiphasic buffer system for high-resolution sodium dodecyl sulfate-polyacrylamide gel electrophoresis of proteins in the relative molecular weight range of 300 000-3000 Da is described. The system, based on the theory of…

Machine learning interatomic potentials (MLIPs) are often trained with on-the-fly active learning, where sampled configurations from atomistic simulations are added to the training set. However, this approach is limited by the high…

The stochastic modelling of biological systems is an informative, and in some cases, very adequate technique, which may however result in being more expensive than other modelling approaches, such as differential equations. We present…

Computational Engineering, Finance, and Science · Computer Science 2010-07-13 Marco Aldinucci , Andrea Bracciali , Pietro Liò , Anil Sorathiya , Massimo Torquati

We report on experimental investigations of proton acceleration from solid foils irradiated with PW-class laser-pulses, where highest proton cut-off energies were achieved for temporal pulse parameters that varied significantly from those…

In this work, we study the effect of various deposition methods for phosphonic acid interface modifiers commonly pursued as self-assembled monolayers in high-performance metal halide perovskite photovoltaics and light-emitting diodes. We…

Prompt tuning is a promising method to fine-tune a pre-trained language model without retraining its large-scale parameters. Instead, it attaches a soft prompt to the input text, whereby downstream tasks can be well adapted by merely…

Computation and Language · Computer Science 2024-12-12 Pengxiang Lan , Enneng Yang , Yuting Liu , Guibing Guo , Jianzhe Zhao , Xingwei Wang

Photoactive iridium complexes are of broad interest due to their applications ranging from lighting to photocatalysis. However, the excited state property prediction of these complexes challenges ab initio methods such as time-dependent…

Chemical Physics · Physics 2022-09-20 Gianmarco Terrones , Chenru Duan , Aditya Nandy , Heather J. Kulik

The structural dynamics of biological macromolecules, such as proteins, DNA/RNA, or complexes thereof, are strongly influenced by protonation changes of their typically many titratable groups, which explains their sensitivity to pH changes.…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-06 Eliane Briand , Bartosz Kohnke , Carsten Kutzner , Helmut Grubmüller

Energy evaluation using fast Fourier transforms enables sampling billions of putative complex structures and hence revolutionized rigid protein-protein docking. However, in current methods efficient acceleration is achieved only in either…

Large language models (LLMs) require substantial compute, and thus energy, at inference time. While quantizing weights and activations is effective at improving efficiency, naive quantization of LLMs can significantly degrade performance…

Machine Learning · Computer Science 2025-06-06 Boris van Breugel , Yelysei Bondarenko , Paul Whatmough , Markus Nagel

Most materials recently developed for room temperature phosphorescence (RTP) lack of practical relevance due to their inconvenient crystalline morphology. Using amorphous material systems instead, programmable luminescent tags (PLTs) based…

Applied Physics · Physics 2021-04-22 Max Gmelch , Tim Achenbach , Ausra Tomkeviciene , Sebastian Reineke

We studied the induction of apoptosis in Jurkat cells by UVB radiation (wavelength 290-320 nm) at a dose of 310 mJ/cm^2. We combined Fourier transform infrared (FTIR) spectroscopy with flow cytometry to determine whether the combination of…

The fold recognition methods are promissing tools for capturing the structure of a protein by its amino acid residues sequence but their use is still restricted by the needs of huge computational resources and suitable efficient algorithms…

Quantitative Methods · Quantitative Biology 2007-07-30 Rumen Andonov , Guillaume Collet , Jean-François Gibrat , Antoine Marin , Vincent Poirriez , Nikola Yanev

The Fast Fourier Transform (FFT) correlation approach to protein-protein docking can evaluate the energies of billions of docked conformations on a grid if the energy is described in the form of a correlation function. Here, this…

Biomolecules · Quantitative Biology 2007-05-23 D. Kozakov , R. Brenke , S. Comeau , S. Vajda

Background: Intensity-modulated proton therapy (IMPT) using pencil beam technique scans tumor in a layer by layer, then spot by spot manner. It can provide highly conformal dose to tumor targets and spare nearby organs-at-risk (OAR). Fast…

Medical Physics · Physics 2024-11-28 Aoxiang Wang , Ya-Nan Zhu , Jufri Setianegara , Yuting Lin , Peng Xiao , Qingguo Xie , Hao Gao

The aim of this paper is to study the qualitative behaviour predicted by a mathematical model for the initial stage of T cell activation. The state variables in the model are the concentrations of phosphorylation states of the T cell…

Molecular Networks · Quantitative Biology 2017-05-02 Alan D. Rendall , Eduardo D. Sontag

Many proteins in cells are capable of sensing and responding to piconewton scale forces, a regime in which conformational changes are small but significant for biological processes. In order to efficiently and effectively sample the…

Statistical Mechanics · Physics 2020-07-08 Michael J. Hartmann , Yuvraj Singh , Eric Vanden-Eijnden , Glen M. Hocky