12 papers · ranked by Valyu relevance
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…
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…
Cristiano Ialongo
Title: Graphical abstract
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…
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…
Zulkifli Nor‐Aizura, Nadiah Wan‐Arfah, Nyi Nyi Naing, Syaratul Emma Hashim + 5 more
2.1### Study Design and Patient Selection Data were obtained from children with retinoblastoma who were admitted to paediatric ophthalmology services in various Malaysian hospitals, including Hospital Kuala Lumpur, Hospital Tunku Azizah in Kuala Lumpur, Hospital Wanita dan Kanak-Kanak Sabah, Hospital Queen Elizabeth in…
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…
Olivia Febvey‐Combes, Cédric Rossi, Behrouz Kassai, Tesla Murairi Mirimo + 5 more
External control (EC) arms using routine data can be used as comparators in clinical trials under certain conditions. The objective of this study was to assess the ability of an EC arm to replicate outcomes of a randomized controlled trial (RCT) arm receiving the same treatment strategy in advanced stage classical…
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…
Hayato Idei, Keisuke Suzuki, Yuichi Yamashita
Mindfulness has established psychological benefits, such as stress reduction and emotional regulation; however, the underlying computational mechanisms, particularly in relation to mind-wandering, remain unclear. This study aimed to present a hierarchical recurrent neural network-based agent model grounded in the free…
Min Lai, Jin Zhang, Yaer Lv, Chunjie Hou + 7 more
Background High workload and inconsistent quality of ultrasound report writing may lead to diagnostic errors. This study aims to ascertain whether fine-tuned open-source large language models (LLMs) can achieve promising performance for automated quality control of Chinese ultrasound reports, when compared to…