A record high! 15 Qingdao achievements won National Science and Technology Awards

http://qdstc.qingdao.gov.cn/kjdt/bskjdt/202407/t20240702_8109856.shtml

The 2023 National Science and Technology Awards were announced in Beijing. From a total of 262 projects and candidates,15 achievements in Qingdao won the National Science and Technology Award

Qingdao hosted and completed 2 award-winning projects, participated in the completion of 13 award-winning projects – Including 1 special prize, 1 first prize, 11 second prizes.

5 of the award-winning Qingdao projects are in the maritime field, namely:

“Key Technology Equipment and Application of Deep Sea Image Detection”
Offshore Petroleum Engineering (Qingdao) Co., Ltd. participated in and completed the “‘Shenhai No. 1’ ultra-deepwater gas field development project key technology and application” project, which won the first prize of the National Science and Technology Progress Award
“Construction and Industrial Application of Precision Nutrition Technology System for Marine Cultured Fishes” led by the Ocean University of China and participated by the Yellow Sea Fisheries Research Institute of the Chinese Academy of Fishery Sciences.
“Theoretical and Technological Innovation and Major Discovery of Deep Oil and Gas Exploration in Fault Zones” project, and the
“Key Technologies and Applications for Beach Protection and Restoration of Complex Coastal Environments” participated by Ocean University of China won the second prize of the National Science and Technology Progress Award.

In addition, Qingdao’s participation in award-winning projects has high “gold content” and broad influence. Among them, the “Fuxing High-Speed Train” project completed by CRRC Qingdao Sifang Rolling Stock Co., Ltd. and CRRC Qingdao Sifang Rolling Stock Research Institute Co., Ltd. won the special prize of the National Science and Technology Progress Award. The “Fuxing” high-speed train is a new generation of high-speed train independently developed by China and with complete intellectual property rights. With a maximum speed of 350 kilometers per hour, China has become the country with the fastest commercial operation of high-speed rail in the world. This record remains to this day. As of the beginning of this year, the “Fuxing” high-speed train has transported more than 2.2 billion passengers.

Enterprise innovation is the fundamental driving force and internal source of innovation. Among the Qingdao award-winners, 9 projects have enterprises taking the lead in completing and deeply participating in them. For example, the “Technological Innovation and Industrialization of Temperature and Humidity Oxygen Magnetic Multi-dimensional Precision Control of Household Preservation Appliances” project led by Haier Smart Home Co., Ltd. and participated by Qingdao Haier Refrigerator Co., Ltd. won the second prize of the National Science and Technology Progress Award; Tsingtao Brewery Co., Ltd. The project “Efficient Breeding and Optimization of Key Technologies and Applications of Food Biomanufacturing Industrial Strain”, as the main completion unit, won the second prize of the National Science and Technology Progress Award.

more insights

A humanoid robot training center in Qingdao improves robot efficiency

https://en.people.cn/n3/2026/0324/c90000-20439477.html

At the Qingdao Humanoid Robot Data Training Center in Laoshan District of Qingdao, humanoid robots are trained for jobs such as intelligent industrial manufacturing, smart home, and commercial services. Data collectors here control robots to complete specific tasks like logistics sorting, supermarket restocking, kitchen operations, and component assembly. Through thousands of repetitions and trials, massive amounts of motion data are generated, endowing robots with a smarter “intelligent brain,” and helping humanoid robots enter all walks of life to serve thousands of households.

RamEx: high-throughput microbial ramanome analyses with accurate quality assessment

https://www.cas.cn/syky/202602/t20260226_5102870.shtml

https://doi.org/10.1186/s40168-026-02339-3

A research team at the CAS Qingdao Institute of Bioenergy and Bioprocess Technology has developed RamEx, an integrated analysis framework for Ramanome big data. This platform, tailored to the characteristics of Raman spectroscopy data, establishes a one-stop workflow from data reading and standardized preprocessing to downstream data mining, centered on automated quality control algorithms and efficient parallel computing processes. It also demonstrates a systematic analysis of microbial metabolomical heterogeneity and metabolic pattern differentiation at the single-cell level.

Raman genomics deep analysis can track the dynamic changes in the composition of macromolecules such as lipids, proteins, and nucleic acids in different cells, thus revealing the differentiation and succession patterns of microbial metabolic states at the population scale with single-cell precision. This provides new research ideas and technical pathways for understanding the functional organization and environmental adaptation mechanisms of complex communities.

RamEx removes spectral noise in Raman-based microbial cell sorting

http://english.cas.cn/newsroom/research-news/202602/t20260224_1151116.shtml

https://link.springer.com/article/10.1186/s40168-026-02339-3

Scientists from the CAS Qingdao Institute of Bioenergy and Bioprocess Technology have developed a novel computational tool, RamEx, designed to resolve the computational bottleneck in high-throughput microbial Ramanomics.

RamEx streamlines the full Ramanomic analysis pipeline, from data preprocessing and automated quality control to advanced data mining. An Iterative Convolutional Outlier Detection (ICOD) algorithm tackles spectral noise in an unsupervised manner to dynamically identify and eliminate spectral artifacts, ensuring high-quality input for downstream analysis.

The platform’s performance was validated using diverse datasets, including pathogenic bacteria, probiotics, and yeast fermentation systems. Notably, RamEx successfully captured phenotypic heterogeneity in genetically identical yeast cells by detecting subtle metabolic fluctuations and tracking the dynamic accumulation of intracellular macromolecules, including lipids, proteins, and nucleic acids.

Back to …

青岛 Qingdao
a hub for S&T