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MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Malformin A1–mediated cytotoxicity in ovarian cancer cells occurs through pyroptosis and autophagy

FEBS Open Bio, EarlyView.
This study investigated the effects of the natural compound Malformin A1 (MA1) on the cytoskeleton that regulates cell proliferation and migration. Disruption of the cytoskeleton can impair these processes and promote cancer cell death. MA1 disrupted cytoskeletal organization, induced DNA damage, inflammation, activated autophagy, and pyroptosis ...
Nada Abdullah Hassan, Ikram A. Burney, Shika Hanif Malgundkar, Siva Ramamoorthy, Ressin Varghese, Mohamed A. Al‐Kindi, Hamad Al Riyami, Shadia Al Bahlani, Sergey Dobretsov, Syed Imran Hassan, Benjamin K. Tsang, Yahya Tamimi   +11 more
wiley   +1 more source

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Real-Time Scheduling of Cloud Manufacturing Services Based on Dynamic Data-Driven Simulation

IEEE Transactions on Industrial Informatics, 2019
In service-oriented manufacturing modes, service scheduling is important for providing just-in-time delivery of manufacturing services to customers.
Longfei Zhou, Lei Ren, Jian Wang
exaly   +2 more sources

Real-Time Scheduling for Dynamic Partial-No-Wait Multiobjective Flexible Job Shop by Deep Reinforcement Learning

IEEE Transactions on Automation Science and Engineering, 2022
In modern discrete flexible manufacturing systems, dynamic disturbances frequently occur in real time and each job may contain several special operations in partial-no-wait constraint due to technological requirements.
Shu Luo, Linxuan Zhang, Yushun Fan
semanticscholar   +1 more source

Distributed Real-Time Scheduling in Cloud Manufacturing by Deep Reinforcement Learning

IEEE Transactions on Industrial Informatics, 2022
With the extensive application of automated guided vehicles, real-time production scheduling considering logistics services in cloud manufacturing (CM) becomes an urgent problem.
Lixiang Zhang, Chen Yang, Yan Yan, Yaoguang Hu   +3 more
semanticscholar   +1 more source

Real-time scheduling simulation optimisation of job shop in a production-logistics collaborative environment

International Journal of Production Research, 2022
In a complex and dynamic job shop containing logistics factor, schedule needs to be generated rapidly, so the real-time scheduling method is more suitable for such scenario.
Lei Cai, Wenfeng Li, Yun Luo, Lijun He
semanticscholar   +1 more source

Real-Time Scheduling and Analysis of Processing Chains on Multi-threaded Executor in ROS 2

IEEE Real-Time Systems Symposium, 2022
ROS (Robot Operating System) is currently one of the most popular development frameworks for robotic software, which is usually subject to hard real-time constraints in safe-critical domains. Designers must formally model and analyze its timing behaviors
Xu Jiang, Dong Ji, Nan Guan, Ruoxiang Li, Yue Tang, Wang Yi   +5 more
semanticscholar   +1 more source

Real-Time Scheduling of Autonomous Mining Trucks via Flow Allocation-Accelerated Tabu Search

IEEE Transactions on Intelligent Vehicles, 2022
Material transportation is an essential process in mining operations and accounts for a large portion of total energy consumption. With the development of automation technology, autonomous mining trucks have been deployed in open-pit mines to reduce ...
Xiaotong Zhang, Ao Guo, Yunfeng Ai, Bin Wang, Long Chen   +4 more
semanticscholar   +1 more source

Deep reinforcement learning based AGVs real-time scheduling with mixed rule for flexible shop floor in industry 4.0

Computers & industrial engineering, 2020
Driven by the recent advances in industry 4.0 and industrial artificial intelligence, Automated Guided Vehicles (AGVs) has been widely used in flexible shop floor for material handling.
Hao Hu, Xiaoliang Jia, Qixuan He, Shi-Yi Fu, Kuo Liu   +4 more
semanticscholar   +1 more source

On a Real-Time Scheduling Problem

Operations Research, 1978
We study the problem of scheduling periodic-time-critical tasks on multiprocessor computing systems. A periodic-time-critical task consists of an infinite number of requests, each of which has a prescribed deadline. The scheduling problem is to specify an order in which the requests of a set of tasks are to be executed and the processor to be used ...
Sudarshan K. Dhall, C. L. Liu 0001
openaire   +2 more sources