Sentiment-aware intelligent systems are essential to a wide array of applications.These systems are driven by language models which broadly fall into two paradigms: Lexicon-based and contextual.Although recent contextual models are increasingly dominant, we still see demand for lexicon-based models because of their interpretability and ease of use.
Multifunctional ultraflexible neural probe for wireless optogenetics and electrophysiology
Electrophysiology and optogenetics are pivotal in neuroscience for probing and modulating neural activities, playing a vital role in unraveling the complexities of brain functionality.Despite their importance, the efficacy of existing devices is hampered by insufficient functional integration, pronounced Kratom Gummies foreign body reactions, and p
An Efficient Object Detection Algorithm Based on Improved YOLOv5 for High-Spatial-Resolution Remote Sensing Images
The field of remote sensing information processing places significant research emphasis on object detection (OD) in high-spatial-resolution remote sensing images (HSRIs).The OD task in HSRIs poses additional challenges compared to conventional natural images.These challenges include variations in object scales, complex backgrounds, dense arrangemen
Study of Oxidative Profile of Transgenic Beans by Means of the HR-MAS NMR
In Brazil, beans are one of the most important food legume, is considered the main source of proteins in low-income populations.One of the major diseases affecting the common bean golden mosaic is transmitted by the whitefly, by BGMV viruses (Bean read more Golden Mosaic Virus).Thus, EMBRAPA rice and beans developed a genotype resistant to BGMV cal