11 papers · ranked by Valyu relevance
Paul B. Conn, Irina S. Trukhanova, Peter L. Boveng, Vladimir Chernook + 1 more
In the springs of 2012-2013, Russian Federation scientists conducted aerial surveys of ice-associated seals (including bearded, ribbon, ringed, and spotted seals) in the Sea of Okhotsk and in Russian waters of the western Bering Sea. These instrument-based surveys used a combination of thermal imaging and digital…
Eliezer Masliah
How transient neural representations become integrated and stable enough to function as internal neural models remains incompletely understood. Grounded in efficient coding, Bayesian and predictive frameworks, recurrent and attractor dynamics, neural state-space models, and systems neuroscience, the Principle of…
Zichao Jin, Jiaoru Wang, Wenjiang Huang, Jingcheng Zhang + 2 more
Accurate, reliable, large-scale disease predictions are essential to ensure rice production. Existing disease prediction models often face a trade-off between interpretability and predictive capability, necessitating the integration of mechanistic knowledge and data-driven learning within a modelling framework.…
John Tower
Biological information is generally thought to be subject to selection for faithful maintenance. However, accurate preservation is often combined with regulated mechanisms that generate state change. Selectively advantageous instability (SAI) is modeled here as instability that is favored because useful alternatives…
Matteo Farina, Pietro Zamberlan, Arno Onken, Ulisse Ferrari
For datasets with thousands of neurons and images, vision transformers have proven successful at predicting neural responses to stimuli. However, they are expected to underperform in low-data regimes, where CNNs and Gaussian processes are considered more effective. We ask whether transformers can be made competitive…
Atilio Barreda II, Carrie Diaz Eaton, Sam Hansen, Joseph E. Hibdon Jr. + 10 more
Mathematics researchers are becoming more involved with research questions at the interface of data science and social justice. This type of research needs to be grounded in the needs of the community in order to have significant impact. In this paper, we examine two examples of community-research partnerships in data…
Pao‐Yuan Huang, Heng‐Syu Lin, Cheng‐Yuan Peng, Ruei‐Hau Hsu + 1 more
Few prediction models have been specifically designed to evaluate the risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B and cirrhosis. This study aimed to develop a machine learning-based prediction model to assess the risk of developing HCC in patients with hepatitis B virus (HBV)-related…
William JF Rieger, Sebastian Häussermann, Luca Herrmann, Zecheng Li + 8 more
Enzymes frequently exhibit promiscuous activity beyond their native roles, providing starting-points for new functions. Finding these promiscuous enzymes, especially for non-native chemical transformations, is challenging but highly valuable, as they promise novel, sustainable solutions for chemistry and biotechnology.…
Xingbao Chen, Zhuo Li, Lebin Cai, Paul Kilmartin + 2 more
Electrocatalytic co-reduction of CO2 and NO3−/NO2− to synthesize urea is a promising alternative to the traditional urea production process. However, the complexity of the reaction pathway hinders clear identification of C-N coupling mechanisms, thereby limiting the ability to guide catalyst design. Therefore, to…
Niyazi Samet Yilmaz, Bayram Sen, Sena Turkmen, Hikmet Can Çubukçu + 1 more
Title: Graphical abstract
Mirna El Ghosh, Varvara Kalokyri, Maciej Bobowicz, Melanie Sambres + 11 more
Background Semantic interoperability in health care, essential for seamless integration of information systems, is partially achieved through the use of terminologies and common data standards that define the semantic structure of data. Various complexities arise when using real-world health care data, including…