Results 81 to 90 of about 31,060 (259)

Simulation Model of Logistic Support to Isolated Airspace Smveillance Radar Stations

Promet (Zagreb), 2008
A simulation model of the radar network operation of fivemilitary radar stations has been developed. Simulation waspeiformed in GPSS language and contains the time of operationof five radars through a period of one year, time of plannedpreventive ...
Tomislav Crnković, Ernest Bazijanac, Danko Basch   +2 more
doaj   +1 more source

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

Advanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee, Jumi Kim, Taehan Yoon, So Hyun Kwon, Su Chan Park, Dohyun Chun, Dohyeong Kim, Eun Jung Park, Hyunwoo Kim, Ji Min Lee   +9 more
wiley   +1 more source

Bridged h‐BN Nanosheets Coatings: Simultaneous Shielding Atomic‐Oxygen Irradiation and Achieving Superior Friction Performance

Advanced Science, EarlyView.
ABSTRACT To confront extreme space environments, a combination of inorganic and organic coatings can provide a pathway for offering highly durable radiation resistance and anti‐friction simultaneously. Herein, a strong interfacial 3D hydrogen‐bonding network is designed to create robust hexagonal boron nitride (h‐BN) based polymer coatings with ...
Zhuoyi Li, Changning Bai, Xingkai Zhang, Yusheng Liang, Wei Wu, Dingrui Zhou, Tao Du, Chunjin Wang   +7 more
wiley   +1 more source

Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays

Advanced Science, EarlyView.
A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo, Ji‐Hwan Eum, Suk‐Jeong Kwon, Minji Sagong, Dongchan Kim, Dong‐Ha Kim   +5 more
wiley   +1 more source

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

Advanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang, Zexi Chen, Yuanxiang Miao, Zuolin Shen, Deyu Cai, Shijie Tang, Yun Xue, Weifeng Guo, Hongbin Ji, Jian Liu, Kazuyuki Aihara, Luonan Chen   +11 more
wiley   +1 more source

An Integrative Strategy Delineates Modular Metabolic Remodeling and Potential Therapeutic Targets Across Metabolic Diseases

Advanced Science, EarlyView.
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang, Congxue Hu, Hang Zhao, Xiao Peng, Yiming Yan, Jiasi Wang, Wenqi Jiang, Depeng Mu, Yan Cao, Xia Li, Yunpeng Zhang   +10 more
wiley   +1 more source

Fuzzy Chance-constrained Programming Based Security Information Optimization for Low Probability of Identification Enhancement in Radar Network Systems [PDF]

Radioengineering, 2015
In this paper, the problem of low probability of identification (LPID) improvement for radar network systems is investigated. Firstly, the security information is derived to evaluate the LPID performance for radar network.
C. G. Shi, F. Wang, J.J. Zhou, J. Chen
doaj  

Vacancy‐Driven Ni Exsolution in Prussian Blue Analogues Creates Cooperative Defect–Metal Sites for Alkaline Hydrogen Evolution

Advanced Science, EarlyView.
Multimetal Prussian blue analogues (PBAs) are converted by low‐temperature Ar annealing into a cavity/CN‐vacancy architecture that triggers in situ Ni exsolution, creating dense Ni‐PBA interfacial motifs. These motifs optimize water dissociation and H* adsorption in alkaline media, delivering markedly accelerated HER kinetics and long‐term stability ...
Shiqi Wang, Haixian Yan, Hugo L. S. Santos, Md Mofakkharulhashan, Wenyi Huo, Pedro H. C. Camargo   +5 more
wiley   +1 more source

Multi-Mode Radar Target Detection and Recognition Using Neural Networks

International Journal of Advanced Robotic Systems, 2012
In typical radar systems, the process of recognizing a target requires human involvement. This human element makes radar systems not fully reliable due to unstable performance that varies between operators.
Janette C. Briones, Benjamin Flores, Raul Cruz-Cano   +2 more
doaj   +1 more source

Thermoelectric PANI/TeNWs Fiber Based Microsensor for Passive Temperature and Active Chemical Sensing

Advanced Science, EarlyView.
Continuous wet‐spinning of PANI with TeNWs yields a multifunctional microfiber. Oriented TeNWs impose chain alignment and enhance π‐electron delocalization, boosting the Seebeck coefficient to 59.9 µV K−1 for passive temperature sensing (1 K detection limit), while achieving high pH sensitivity (59.25 mV pH−1) and rapid NH3 response (0.96 s).
Dongmei Xie, Mengran Chen, Xuefei Zhang, Yan Xu, Weiye Geng, Zhe Tang, Si‐ze Lou, Shun Wan, Zhenguo Liu, Heng Liu, Peng‐an Zong   +10 more
wiley   +1 more source