athese methods,covered by the term mass-transfer operations,include such techniques as distillation,gas absorption,dehumidification,liquid extraction,leaching,crystallization,and a number of others. 这些方法,包括由期限大量转移操作,包括这样技术象蒸馏、气体吸收、除湿,液体提取,浸出,结晶和一定数量其他。 [...
This paper introduces the ACL Reference Dataset for Terminology Extraction and Classification, version 2.0 (ACL RD-TEC 2.0). The ACL RD-TEC 2.0 has been developed with the aim of providing a benchmark for the evaluation of term and entity recognition tasks based on specialised text from the co...
Super-photostable organic dye for long-term live-cell single-protein imaging Phoenix Fluor 555 (PF555) is a bright dye with an exceptional, order-of-magnitude longer photobleaching lifetime than conventional organic dyes that enables extended live-cell single-molecule imaging without anti-photobleaching...
However, reliable standardized methods for miRNA extraction from equine serum and fresh or archived whole blood are sorely lacking. We systematically compared various miRNA extraction methods from serum and whole blood after short and long-term storage without addition of RNA stabilizing additives prior ...
such as long-short-term-memory (LSTM) or gated-recurrent-units (GRU), which enable efficient learning of long-range dependencies. DeepCLIP [50], cDeepBind [27], iDeepS [30], deepRAM’s ECBLSTM model [49] and DeepRKE [25] use a bidirectional LSTM (BLSTM) on top of the outputs of...
Most of the PSTs were relatively stable in scallop tissues during 1-month storage at −20 °C, while the concentrations of PSTs in scallop tissues obviously changed after 6 months due to the degradation and transformation of PSTs during long-term storage at −20 °C. This work helps ...
[147]. Nevertheless, GRU boasts a reduced node count and faster processing speed, mitigating long-term correlation issues and lowering the risk of overfitting in smaller RNN architectures [148]. In specific GRU-related tasks, it outperforms LSTM in terms of accuracy thanks to its swift training...
A fused method using a combination of multi-omics data enables a comprehensive study of complex biological processes and highlights the interrelationship of relevant biomolecules and their functions. Driven by high-throughput sequencing technologies, sev
For decades, scientists have worked to automate the process of detecting and classifying sounds into categories or types. Automated classification involves three main steps: (1) detection of potential sounds of interest, (2) extraction of relevant acoustic characteristics (or, features) from these sou...
DBlink uses deep learning to capture long-term dependencies between different frames in single-molecule localization microscopy data, yielding super spatiotemporal resolution videos of fast dynamic processes in living cells. Alon Saguy ,Onit Alalouf ...