14 papers · ranked by Valyu relevance
Panagiotis D. Kolokathis, Nikolaos K. Sidiropoulos, Dimitrios Zouraris, Dimitra-Danai Varsou + 20 more
Modelling Data (MODA) reporting guidelines have been proposed for common terminology and for recording metadata for physics-based materials modelling and simulations in a CEN Workshop Agreement (CWA 17284:2018). Their purpose is similar to that of the Quantitative Structure-Activity Relationship (QSAR) model report…
Preeti Garai, John M. Atack, Brandon M. Wills, Michael P. Jennings + 2 more
Adherence of non-typeable Haemophilus influenzae (NTHi) to the host airway is an essential initial step for asymptomatic colonization of the nasopharynx, as well as development of disease. NTHi relies on strict regulation of multiple adhesins for its pathogenesis. The ModA phasevarion is a bacterial regulatory system…
Yi Huang, Jinbin Chen, Qiao Jiang, Nan Huang + 3 more
'Xiaoyan Deng'] Background Proteus mirabilis is one of the pathogens commonly causing urinary tract infections (UTIs). The molybdate-binding protein ModA encoded by modA binds molybdate with high affinity and transports it. Increasing evidence shows that ModA promotes the survival of bacteria in anaerobic environments…
Luca G. Mureddu, Edward J. Brooksbank, Geerten W. Vuister, Frederick W. Muskett
Nuclear Magnetic Resonance (NMR) relaxation experiments provide a powerful residue-resolved access to biomolecular dynamics across a wide range of timescales. Unfortunately, the quantitative analysis of the relaxation data remains distributed across specialised and often disconnected tools. Here, we present CcpNmr…
Min Jiao, Wenbo He, Zhenlin Ouyang, Qinyue Yu + 9 more
'Qian Qin' 'Ruochen Wang' 'Xiaolong Guo' 'Ruihan Liu' 'Xiaoyu He' 'Peter M. Hwang' 'Fang Zheng' 'Yurong Wen'] The rare metal element molybdenum functions as a cofactor in molybdoenzymes that are essential to life in almost all living things. Molybdate can be captured by the periplasmic substrate-binding protein ModA of…
Qian Cheng, Xiangfeng Wang, Peng Cui
What makes artificial intelligence (AI) smart is machine learning (ML), which is defined as “a field of study that gives computers the ability to learn without being explicitly programmed” by ML pioneer Arthur Samuel in 1959. ML deduces data patterns without relying on prior assumptions as statistics does, greatly…
Apostolos Modas
Présentée le 18 août 2022 Faculté des sciences et techniques de l'ingénieur Laboratoire de traitement des signaux 4 Programme doctoral en génie électrique pour l'obtention du grade de Docteur ès Sciences par Acceptée sur proposition du jury Prof. A. M. Alahi, président du jury Prof. P. Frossard, directeur de thèse Dr…
Tuan Ngo, A. Hegazi Hassan, Saad Shafiq, Nenad Medvidović
Deep Neural Networks (DNNs) suffer from significant retraining costs when adapting to evolving requirements. Modularizing DNNs offers the promise of improving their reusability. Previous work has proposed techniques to decompose DNN models into modules both during and after training. However, these strategies yield…
Wayner Barrios, Andrés Villa, Juan León Alcázar, SouYoung Jin + 1 more
Recently, Multimodal Large Language Models (MLLMs) have demonstrated impressive performance on instruction-following tasks by integrating pretrained visual encoders with large language models (LLMs). However, existing approaches often struggle to ground fine-grained visual concepts in complex scenes. In this paper, we…
Xinyang Li, Gen Li, Zhihui Lin, Yichen Qian + 5 more
Talking head generation with arbitrary identities and speech audio remains a crucial problem in the realm of the virtual metaverse. Despite progress, current methods still struggle to synthesize diverse facial expressions and natural head movements while generating synchronized lip movements with the audio. The main…
Lei Yang, Yue Zhang, Manfu Duan
Modality plays an important part in verbal communication, as it can reveal the speaker’s views and perspectives. The modal verb, as an essential component of the modality system, has been a hot research topic and a challenge in academic circles in recent years. Analyzing the modal verbs in a text may indicate the…
Yusuke Hirota, Jerone T. A. Andrew, Dora Zhao, Orestis Papakyriakopoulos + 3 more
Single Attributes Authors: ['Yusuke Hirota' 'Jerone T. A. Andrew' 'Dora Zhao' 'Orestis Papakyriakopoulos' 'Apostolos Modas' 'Yuta Nakashima' 'Alice Xiang'] We tackle societal bias in image-text datasets by removing spurious correlations between protected groups and image attributes. Traditional methods only target…
Maria Bzówka, Weronika Bagrowska, Artur Góra
Toll-like receptors (TLRs) are transmembrane proteins which recognise various molecular patterns and activate signalling that triggers the immune response. In this review, our goal was to summarise how, in recent years, various computational solutions contributed to a better understanding of TLRs, regarding both their…
Maria Bzówka, Weronika Bagrowska, Artur Góra
Toll-like receptors (TLRs) are transmembrane proteins which recognise various molecular patterns and activate signalling that triggers the immune response. In this review, our goal was to summarise how, in recent years, various computational solutions contributed to a better understanding of TLRs, regarding both their…