13 papers · ranked by Valyu relevance
Bharadwaj Vemparala, Caroline Passaes, Delphine Desjardins, Valérie Monceaux + 18 more
While most people living with HIV suffer progressive disease following cessation of antiretroviral therapy, a small fraction elicits lasting post-treatment control. Understanding the mechanisms underlying this control is key to devising effective HIV remission strategies. Although recent studies implicate memory CD8 T…
Tales Jesus Fernandes, Eliseu Castanheiro Alberto, Adriele Aparecida Pereira, Adrianne Braga da Fonseca + 1 more
Corn cultivation is one of the most important in the world. Urea possesses a high concentration of nitrogen, which is very important to corn crops, is easily handled, and has a lower cost per kilogram of nitrogen, but it presents high losses of this nutrient through volatilization. Therefore, technologies are developed…
Bach Tran Nguyen, Aurélie Barrail-Tran, Moreno Ursino, Sébastien Goutal + 6 more
First-in-human studies require dose extrapolation from pharmacokinetic animal studies combined with safety assessments. Subtherapeutic doses of radiolabelled drugs can be administered in preclinical and early clinical development to gain a dynamic pharmacokinetic understanding, potentially informing…
Fabio Cumbo, Kabir Dhillon, M. Hassan Najafi, Sercan Aygun + 1 more
The exponential growth of genomic databases necessitates alignment-free methods for comparing genomes. While MinHash-based tools have revolutionized this field by efficiently estimating the Average Nucleotide Identity based on k-mer sets, they inherently discard structural genomic information. We introduce HyperSketch…
Lisa Gollot, Juliette Faburé, Ghislaine Delarue, Laura Frattaroli + 3 more
Despite their fundamental role in sustaining terrestrial biodiversity and ecosystem functioning, soils are increasingly contaminated by pesticides, often occurring as complex mixtures. Understanding chemical uptake, distribution, and elimination in soil organisms is essential for reliable risk assessment. We…
Lianne Gahan, Adélaïde Raguin, Partho Sakha De
Lignin’s complex and highly branched architecture plays a critical role in biomass utilisation. Yet, unravelling the intricate relation between lignin’s measurable structural features and the underlying biosynthesis dynamics remains a major challenge. This difficulty stems from the variability in monolignol and bond…
Yi Ren, Zimei Chen, Hayden Deans, Ying Nian Wu + 1 more
Extensive studies suggest the brain performs Bayesian inference to infer the latent world states. It is a fundamental neuroscience question that how canonical recurrent neural circuits in the brain implement Bayesian inference. Many existing theoretical studies focused on how the recurrent circuits compute the…
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…
Lara B. Hillyard, Nancy Bunbury, Christopher N. Kaiser‐Bunbury, Dave Hodgson + 6 more
A core component of conservation management projects is the estimation and monitoring of abundance of target species, in space and through time. Monitoring wildlife is complicated and relies on detection, which itself depends on environmental conditions, phenotypes and behaviours of the species being monitored. Aldabra…
Junjie Yao, Zhongxu Li, Cuiping Wang, Junyu Wu + 3 more
A motion control strategy based on multi-source heterogeneous motion information fusion and motion decoupling parallel washout algorithm (WA) is proposed for the control of a rehabilitation robot designed for stroke-related balance disorders. The robot features a serial-parallel hybrid structure and humanoid gait…
Linsui Deng, Kejun He, Xianyang Zhang
Mendelian randomization (MR) has been widely used to infer causal relationships between exposures and outcomes in epidemiological studies. However, classical MR assumptions can be violated when genetic variants are associated with outcomes through pathways other than the exposure, leading to uncorrelated and/or…
Daniel Rodrigo Serbena, Isabela Luiza Fraron Cieslack, Renan Cassiano Ratis, Débora Van Putten Chaves + 6 more
Purpose To synthesizes evidence on artificial intelligence (AI) performance in neuroblastoma (NB) diagnosis, risk stratification, prognosis, and genomic characterization. Materials and methods A systematic review and meta-analysis was conducted following PRISMA 2020 guidelines (PROSPERO: CRD42024539475) across five…
Zulkifli Nor‐Aizura, Nadiah Wan‐Arfah, Nyi Nyi Naing, Syaratul Emma Hashim + 5 more
1## Introduction Retinoblastoma is a rare and aggressive form of eye cancer that primarily affects children globally. It is the most common intraocular malignancy in childhood and typically manifests before the age of five . Retinoblastoma can affect vision and lead to death if not treated promptly. Despite…