10 papers · ranked by Valyu relevance
Hao Ding, Nannan Wu, Tianyi Qiu
DNA foundation models such as Evo2 7B adopt hybrid Hyena/attention architectures (Striped-Hyena2) whose single-stream autoregressive decoding is bounded by weight bandwidth at ∼45 tok/s. Speculative decoding on such hybrids faces a systems problem that prior SSM work solves only partially: after a draft is verified…
Xiaoqian Dong, Nandan Chen, Cuilan Dong, Xingxing Wang + 5 more
Data analysis was performed using SPSS 26.0, AMOS 26.0, and FACTOR 12.06.07. Continuous variables are presented as means ± SD, whereas categorical variables are reported as frequencies and percentages. Following the COSMIN guidelines and the Standards for Educational and Psychological Testing (AERA, APA, and NCME…
Teresa Iovine, Christian Ehm, Umesh I. Kaluarachchige Don, Vincenzo Busico + 2 more
Catalytic stereoselective hydrogenation of unfunctionalized polyenes remains a major challenge because multiple stereogenic centers must be generated in the absence of directing groups. Here we investigate squalene, a flexible hydrocarbon containing six isolated trisubstituted double bonds, as a demanding substrate for…
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…
Amélie Barozet, Vincent Cabeli, Jean Ogier du Terrail, Alexey Rukhovich + 6 more
The development of climate-resilient crops would be greatly accelerated by models able to reason directly over plant genomic sequences and to pinpoint trait-associated regions or loci. Anticipating the impact of DNA base changes (variants) remains challenging, and understanding regulatory mechanisms is still an active…
Huihai Wu, Ashleigh Lister, Iain Macaulay, Katie Long + 10 more
Single-cell and spatial transcriptomics are transforming our understanding of cellular heterogeneity and tissue organization, yet their analytical complexity remains a major bottleneck. Here, we present EISCA and EISTA, two standardized, end-to-end pipelines for single-cell RNA- seq and imaging-based spatial…
Maryam Majeed, Mara C.P. Rue, Aixin Zhang, Sabrina Cheng + 14 more
Parallel visual streams segregate information into pathways specialized for distinct computations, but how this segregation is achieved by anatomical segregation of primary visual cortex output remains unclear. This problem is complicated because individual neurons frequently send broadcasting projections to multiple…
James Stewart-Evans, Emma Wilson, Tessa Langley, Angela Hands + 2 more
Objective: The objective of this scoping review was to map the body of knowledge on net gain and no-net-loss (net-outcome) objectives and approaches applicable to health in spatial planning and development policies and practice. Introduction: There is an established body of academic and gray literature addressing…
Yarelix Estrada, Jeffery Sauer, Leonardo Dominguez, Mia Borrelli + 2 more
5## Conclusion Concordance analysis offers a practical method of accuracy assessment for individuals operating advanced instruments in the provision of drug checking as a harm reduction service. Concordance analysis is an ongoing quality assurance process that can be carried out to continuously improve the quality of…
Yuesong Wu, Haohao Su, Yuehua Cui
Cell-cell communication (CCC) is essential for maintaining tissue organization and driving biological progression, yet its inference from transcriptomic data has long been limited by the absence of spatial context. Advances in spatial transcriptomics (ST) now enable mechanistically grounded analyses of CCC by…