Results 41 to 50 of about 4,487 (215)

Machine learning application in batch scheduling for multi-product pipelines: A review

Journal of Pipeline Science and Engineering
Batch scheduling is a crucial part of pipeline enterprise operation management, especially in the context of market-oriented operation. It involves 3 main tasks: quickly preparing batch plans, accurately tracking interface movement, and operation ...
Renfu Tu, Hao Zhang, Bin Xu, Xiaoyin Huang, Yiyuan Che, Jian Du, Chang Wang, Rui Qiu, Yongtu Liang   +8 more
doaj   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Simulation of Soil Temperature and Pipeline Temperature-Pressure after Shutdown of J-Y Product Pipeline

Shiyou huagong gaodeng xuexiao xuebao
During the shutdown period of the J-Y refined oil product pipeline, there is a significant difference between the temperature of the transported oil and the outside soil temperature, which leads to a pressure drop in the pipeline after the shutdown. When
Yanchao WEI, Yuerong WU, Dongjun LI, Yuefeng WU, Na KOU, Xiaoping LI, Bingyuan HONG   +6 more
doaj   +1 more source

Polychip‐A High‐Throughput Droplet Microfluidics Platform for Interrogating Microbial Interactions

Advanced Science, EarlyView.
Polychip, a fully integrated droplet microfluidics platform, enables high‐throughput, single‐cell resolution screening of polymicrobial interactions. By seamlessly combining six automated microfluidics operations on a single chip, the system accelerates antimicrobial discovery by 11 to 14 times compared to traditional robotic methods.
Jeong Jae Han, Adrian Ryan Guzman, Aifen Zhou, Han Zhang, Rohit Gupte, Haemin Jung, Kaylee Delgado, Sini Skariah, Ali Sultan, Arul Jayaraman, Paul de Figueiredo, Arum Han   +11 more
wiley   +1 more source

RNAi in the Rhizarian Phytopathogen Plasmodiophora brassicae: The Causal Agent of Clubroot Disease in Cruciferous Crops

Advanced Science, EarlyView.
This study uncovers an unusual RNAi pathway in the rhizarian pathogen Plasmodiophora brassicae. In the absence of Dicer, a Drosha‐like RNase III protein supports the biogenesis of predominant 21‐nt small RNAs, and two Argonaute proteins mediate small RNA‐guided silencing.
Xiong Zhang, Yupo Wu, Jiachang Hou, Lixia Gao, Longqi Pan, Cuicui Shen, Chuanji Zhao, Feng Gao, Yi Zhang, Li Ren, Xiaoping Fang, Xiaoling Dun, Shengyi Liu, Lijiang Liu   +13 more
wiley   +1 more source

Development characteristics and risk assessment of geological hazards along the Lanzhou-Chengdu-Chongqing refined oil pipeline based on machine learning

Zhongguo dizhi zaihai yu fangzhi xuebao
This study focuses on the region along the Lanzhou-Chengdu-Chongqing (Lan-Cheng-Yu) refined oil pipeline, analyzing the development characteristics of geological hazards based on field-surveyed disaster points along the pipeline.
Weike ZHANG, Jian ZHOU, Yishun JIANG, Daojing GUO, Minggao TANG   +4 more
doaj   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Key technologies and application pathways for intelligent professional models in refined oil batch planning

You-qi chuyun
ObjectiveThe intelligence level of refined oil batch planning directly impacts the economic efficiency and safety of pipeline network operations. Traditional methods rely heavily on manual data processing, model invocation, and human–machine interaction,
Yi GUO, Haochong LI, Tianhui LIU, Huanyu ZHAO, Siya CAI, Zhuofu XIE, Yongtu LIANG, Qi LIAO   +7 more
doaj   +1 more source

In Situ Stress‐Dispersing Hydrogel Millispheres via Load Redistribution to Restore Nucleus Pulposus Metabolic Homeostasis

Advanced Science, EarlyView.
Local stress concentration disrupts metabolic homeostasis and induces inflammation in the nucleus pulposus (NP), thereby accelerating intervertebral disc degeneration (IDD). A biomimetic HA/ChS hydrogel millimeter sphere (ChS@HM) is developed to enable synergistic stress dispersion and sustained hydration lubrication.
Ang Li, Hui Yuan, Honglei Xiao, Xiaodong Liu, Wenguo Cui   +4 more
wiley   +1 more source

Exploration of construction and implementation pathways for domestic refined oil logistics optimization platform in the context of information technology application innovation

You-qi chuyun
ObjectiveWith the rapid advancement of refined oil logistics networks toward multimodal collaboration, multi-level integration, and multi-agent cooperation, traditional technical frameworks have encountered performance bottlenecks such as insufficient ...
Rui QIU, Renfu TU, Zhiwei WEI, Guangtao FU, Bozhuo DONG, Jiawen CHANG, Yongtu LIANG   +6 more
doaj   +1 more source