GNSS Differential Code Bias Determination Using Rao‐Blackwellized Particle Filtering by Ben Reid, David R. Themens, Anthony McCaffrey, P. T. Jayachandran, Mainul Hoque, Andrew J. Mazzella Jr.

“…Abstract The Assimilative Canadian High Arctic Ionospheric Model (A‐CHAIM) is a near‐real‐time data assimilation model of the high latitude ionosphere, incorporating measurements from many instruments, including slant Total Electron Content measurements from ground‐based Global Navigation Satellite System (GNSS) receivers. These measurements have receiver‐specific Differential Code Biases (DCB) which must be resolved to produce an absolute measurement, which are resolved simultaneously with the ionospheric state using Rao‐Blackwellized particle filtering. …”
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What is the Role of Trust in Peer Support Schemes for Underrepresented Students? by Claire Hamshire, Mimi Benjamin, Alan Soong Swee Kit

“…Whilst the three settings are diverse, the findings demonstrate that supporting learning transitions and the navigation of liminal spaces through peer support can encourage trust, belonging, and student success. …”
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Can Smartphones Detect Geomagnetic Storms? by S. F. Odenwald

“…Under these circumstances, geomagnetic storms could in principle interfere with navigation accuracy. The ability of smartphones to detect geomagnetic disturbances has been tested by developing synthetic magnetometer data for two historical storm events: October 29, 2003 (G5) and July 15, 2012 (G2). …”
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Detection of UAV GPS Spoofing Attacks Using a Stacked Ensemble Method by Ting Ma, Xiaofeng Zhang, Zhexin Miao

“…Unmanned aerial vehicles (UAVs) are vulnerable to global positioning system (GPS) spoofing attacks, which can mislead their navigation systems and result in unpredictable catastrophic consequences. …”
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An Empirical Spatial Accessibility Analysis of Qingdao City Based on Multisource Data by Ge Gao, Zhen Wang, Xinmin Liu, Tongfei Li

“…The multisource data includes navigation data, location based service (LBS) data, Point of Interest (POI) data and the census data. …”
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Adaptive Gain Control Method of a Phase-Locked Loop for GNSS Carrier Signal Tracking by Zhibin Luo, Jicheng Ding, Lin Zhao

“…The global navigation satellite system (GNSS) has been widely used in both military and civil fields. …”
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High-Precision UAV Photogrammetry with RTK GNSS: Eliminating Ground Control Points by Mehmet Nurullah Alkan

“…That approach enables the operators to use the Global Navigation Satellite System (GNSS) more efficiently with the production of high-precision 3D Digital Terrain Models (DTMs). …”
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The Impact of Oil and Gas Resources In the Arctic on the Development of the Transport System in the Region by V. I. Salygin, I. A. Guliyev, A. O. Khubaeva

“…The first step is to ensure the safety of navigation in the Arctic ice. Also existing infrastructure needs substantial upgrading, as well as construction of new facilities (including ports, railways, roads, etc.). …”
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Quadrotor Trajectory Planning with Tetrahedron Partitions and B-Splines in Unknown and Dynamic Environments by Jiayu Men, Jesús Requena Carrión

“…Trajectory planning is a key task in unmanned aerial vehicle navigation systems. Although trajectory planning in the presence of obstacles is a well-understood problem, unknown and dynamic environments still present significant challenges. …”
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The impact of war on animal welfare: the Imperial Japanese Navy’s manipulation of pigeon behavior in WW II by Cheng Peng, Zi-qi Luo, Lin-hui Guo, Yi-fei Zhu

“…To enable pigeons to support communications aboard moving warships, the IJN exposed these land-dwelling birds to maritime environments, training them to endure challenging conditions such as inclement weather, extreme temperatures, long-distance sea flights, and night-time navigation. During the latter stages of World War II, as Japan faced intensified aerial bombardments, the IJN developed concealed underground pigeon lofts. …”
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Bringing Motor Imagery BCI systems outside of the laboratory into daily activities by Sonal Santosh Baberwal, Shirley Coyle

“…Motor Imagery Brain-Computer Interfaces(MI-BCIs) transform imagined movements into actionable control signals, enabling applications such as wheelchair navigation and robotic device operation. By leveraging the brain's ability to generate neural activity similar to actual movement during imagination, MI-BCIs hold great promise for assisting individuals with mobility impairments or neuromuscular disorders, such as spinal cord injuries. …”
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Prediction Interval of Interface Regions: Machine Learning Nowcasting Approach by Khaled Alielden, Enrico Camporeale, Marianna B. Korsós, Youra Taroyan

“…Predicting the arrival times of interface regions (IRs) is crucial to protect our navigation and communication systems. In this work, a 1D ensemble system comprised of a Long‐short‐term memory (LSTM) model and a Convolution Neural Network (CNN) model—LCNN is introduced to classify the observed IR time series and give the prediction interval nowcast of its transit time to the observer. …”
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Elevated high-precision mapping and localization technology for periodic inspections by Xianghua Fan, Wenbo Pan

“…Abstract Due to the absence of Global Navigation Satellite System (GNSS) information within tunnels, mobile mapping systems encounter issues with cumulative errors, making it difficult to obtain precise absolute pose information. …”
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The human pressure on the middle Vistula River wildlife: the number and distribution of people and their activity on the river during the breeding season of birds by Dariusz Bukaciński, Monika Bukacińska, Ewelina Mastalerz

“…This section of the river is the most valuable for nature and is located between Puławy and the mouth of the Pilica River (km 373-548 of the navigation route). Censuses were conducted in May-June 2014 and 2015, the breeding season of the key species of the riverbed avifauna. …”
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JSTC: Travel Time Prediction with a Joint Spatial-Temporal Correlation Mechanism by Alfateh M. Tag Elsir, Alkilane Khaled, Pengfei Wang, Yanming Shen

“…Accurate travel time prediction is one of the most promising intelligent transportation system (ITS) services, which can greatly support route planning, ride-sharing, navigation applications, and effective traffic management. …”
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Ionospheric Disturbances Generated by the 2015 Calbuco Eruption: Comparison of GITM‐R Simulations and GNSS Observations by J. Tyska, Y. Deng, S. Zhang, C. Y. Lin

“…In this study, Global Navigation Satellite System (GNSS) Total Electron Content (TEC) data are analyzed and compared to simulations performed by the Global Ionosphere‐Thermosphere Model with Local Mesh Refinement (GITM‐R) for the first phase of the 2015 Calbuco eruption that occurred on 22 April. …”
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Maze runners: monkeys show restricted Arabic numeral summation during computerized two-arm maze performance by Elizabeth L. Haseltine, Michael J. Beran

“…Abstract Mazes have been used in many forms to provide compelling results showcasing nonhuman animals’ capacities for spatial navigation, planning, and numerical competence. The current study presented computerized two-arm mazes to four rhesus macaques. …”
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Moor: Model-based offline policy optimization with a risk dynamics model by Xiaolong Su, Peng Li, Shaofei Chen

“…We theoretically prove that MOOR can identify risk information of data and avoid utilizing high-risk data, our experiments show that MOOR outperforms existing approaches and achieves state-of-the-art results in risk-sensitive D4RL and risky navigation tasks.…”
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Automatic Classification System of Drainage Hole Blockage Based on Convolution Neural Network Transfer Learning by Jianbing Lv, Weijun Wu, Xiaoyu Kang, Juan Huang, Gongfa Chen, Shuai Teng, Hejie Gao

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Physiological analysis of cognitive load variations during complex information processing by Allan Armougum, Alexandre Gaston-Bellegarde, Chantal Joie-La Marle, Pascale Piolino

“…In our study, we analysed how incidental presentation of information affects cognitive load of train travellers with different expertise levels during navigation in an immersive virtual train station. Analyses of electroencephalography and electrodermal activities as physiological metrics, NASA-Task Load Index as subjective measure and binding memory score as behavioural measure of performance during a recognition phase, helped to quantify cognitive load during the study. …”
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