Intercultural Empathy in New Media Communication of Intangible Cultural Heritage

Grandpa Amu’s videos have gained sustained attention from many overseas audiences on international social media platforms, becoming a representative case of cross-cultural communication. The article takes the comments on Grandpa Amu’s videos on the YouTube platform as the research object and uses keyword analysis, sentiment analysis, and co-occurrence network analysis to analyze text data from overseas users. The goal is to study the effects of cross-cultural empathic communication. It found that Grandpa Amu, ICH skills, and Chinese traditional culture are the focus. Emotional perception is primarily neutral and positive, involving emotional bonds between people, human wisdom embodied in skills, and the human spirit encapsulated in traditional culture being the main objects of empathy. Based on the communication effect and overseas user feedback of Grandpa Amu’s videos on the YouTube platform, this article provides practical insights for cross-cultural communication from the perspective of empathy

OceanGPT: A Large Language Model for Ocean Science Tasks

Ocean science, which delves into the oceans that are reservoirs of life and biodiversity, is of great significance given that oceans cover over 70% of our planet's surface. Recently, advances in Large Language Models (LLMs) have transformed the paradigm in science. Despite the success in other domains, current LLMs often fall short in catering to the needs of domain experts like oceanographers, and the potential of LLMs for ocean science is under-explored. The intrinsic reason may be the immense and intricate nature of ocean data as well as the necessity for higher granularity and richness in knowledge. To alleviate these issues, we introduce OceanGPT, the first-ever LLM in the ocean domain, which is expert in various ocean science tasks. We propose DoInstruct, a novel framework to automatically obtain a large volume of ocean domain instruction data, which generates instructions based on multi-agent collaboration. Additionally, we construct the first oceanography benchmark, OceanBench, to evaluate the capabilities of LLMs in the ocean domain. Though comprehensive experiments, OceanGPT not only shows a higher level of knowledge expertise for oceans science tasks but also gains preliminary embodied intelligence capabilities in ocean technology. Codes, data and checkpoints will soon be available at https://github.com/zjunlp/KnowLM.Comment: Work in progress. Project Website: https://zjunlp.github.io/project/OceanGPT

Proteolysis in microfluidic droplets: an approach to interface protein separation and peptide mass spectrometry

A versatile microreactor protocol based on microfluidic droplets has been developed for on-line protein digestion. Proteins separated by liquid chromatography are fractionated in water-in-oil droplets and digested in sequence. The microfluidic reactor acts also as an electrospray ionization emitter for mass spectrometry analysis of the peptides produced in the individual droplets. Each droplet is an enzymatic micro-reaction unit with efficient proteolysis due to rapid mixing, enhanced mass transfer and automated handling. This droplet approach eliminates sample loss, cross-contamination, non-specific absorption and memory effect. A protein mixture was successfully identified using the droplet-based micro-reactor as interface between reverse phase liquid chromatography and mass spectrometry