Genetic research
Researchers at the Pennsylvania State University (Penn State) College of Medicine have developed a novel computational tool called ZSeeker, which accurately detects potential Z-DNA forming sequences in genomes. Z-DNA is an alternative left-handed DNA structure with a zigzag-shaped backbone that differs from the right-handed canonical B-DNA helix. Z-DNA has been
Genetic research
Research conducted by Hunan University and funded by the Hunan Province Postgraduate Research Innovation Project has yielded new data on building construction, specifically on the optimization of office building design for energy efficiency and thermal comfort. The study employed a multi-objective genetic algorithm to optimize seven key design variables, including
Genetic research
Research conducted at Dalian Maritime University in the People's Republic of China has led to the development of an immersive digital twin platform for carrier-based aircraft scheduling. The platform combines high-fidelity 3D visualization-based modeling with real-time data exchange via TCP/IP, creating a collaborative virtual-physical simulation environment. This
Genetic research
Researchers from the Civil Aviation Flight University of China have developed a new algorithm to optimize frequency assignment for aviation navigation stations. The algorithm, called the Improved Multi-Objective Genetic Local Search Algorithm (IMOGLSA-II), has been successfully tested on a large-scale frequency allocation problem and has shown significant improvements in solution
Algorithms
Researchers at Beijing Wuzi University have made new findings in the field of information technology, shedding light on the optimal consensus problem for discrete-time multi-agent systems with input constraints. The study aims to investigate the optimal protocol that enables all followers to reach consensus with the leader while minimizing the
Machine learning
A new report from researchers at the First Affiliated Hospital of Anhui Medical University sheds light on the complex interplay between cell death and non-alcoholic steatohepatitis (NASH) progression. The study, which was published in the journal Lipids in Health and Disease, reveals that dysregulated programmed cell death pathways are mechanistically
Machine learning
Research conducted by a team of scientists from Stevens Institute of Technology has made a significant breakthrough in the development of a new snow parameter retrieval (SPR) algorithm for the Global Change Observation Mission-Climate/Second Generation Global Imager (GCOM-C/SGLI) instrument. The algorithm, which combines accurate radiative transfer model (RTM)
Genetic research
A new study from Shandong University in China has reported significant progress in reducing diesel engine emissions through the optimization of urea injection. The research, published in Applied Sciences, utilized a Support Vector Machine (SVM) to predict nitric oxide (NOx) conversion efficiency and ammonia (NH3) slip in diesel engines. The
Genetic research
Researchers from Firat University in Elazig, Turkey, have developed a novel hybrid optimization framework for establishing dynamic drone networks. This innovative approach combines genetic algorithms with reinforcement learning to enhance the deployment of drones in real-time, under diverse environmental conditions. By integrating Q-learning into the genetic algorithm mutation process, the
Machine learning
Cancer genomics analysis is a complex task, and researchers have long struggled with identifying structural variations and copy number aberrations in long-read DNA sequencing data. To overcome this challenge, researchers at the European Bioinformatics Institute (EMBL-EBI) and Genomics England developed SAVANA, a machine learning algorithm that accurately identifies cancer-specific structural
Genetic research
Researchers at Taibah University have developed an adaptive hybrid framework for Industrial Internet of Things (IIoT) intrusion detection that combines Artificial Neural Networks (ANNs) with Genetic Algorithms (GA) for feature optimization. This innovative approach provides a robust solution for real-time IIoT security, outperforming conventional detection systems. The study utilized a
Genetic research
A new study has proposed a wind retrieval method based on genetic algorithm-particle swarm optimization (GA-PSO) for the coherent Doppler wind lidar (CDWL), which has been validated through ground-based and airborne experiments. The research, funded by the National Natural Science Foundation of China, aims to improve the accuracy and efficiency
