Results 71 to 80 of about 2,117 (181)

Characterizing North‐South Ionospheric Gradients During Geomagnetic Storms: A Variogram Enhancement for Wide Area Ionospheric Models

open access: yesSpace Weather, Volume 24, Issue 1, January 2026.
Abstract The intensified solar maximum of Cycle 25 has heightened space weather risks to Global Navigation Satellite Systems (GNSS), where geomagnetic storms critically challenge Positioning, Navigation, and Timing (PNT) availability. Current wide‐area ionospheric models may fail to resolve extreme latitudinal Total Electron Content (TEC) gradients ...
Tong Liu   +5 more
wiley   +1 more source

Ionosperic refraction modeling for better autonomous GNSS code positioning: in preparation of solar cycle 24.\ud [PDF]

open access: yes, 2013
This paper describes GNSS-processing optimisation\ud for better autonomous single-point positioning using\ud single frequency code receivers. GNSS processing\ud improvement is carried out in terms of near-real time\ud ionosphere delay modelling, which ...
Pavlovčič Prešeren, Polona   +2 more
core  

Status and potential of bacterial genomics for public health practice : a scoping review [PDF]

open access: yes, 2019
Background: Next-generation sequencing (NGS) is increasingly being translated into routine public health practice, affecting the surveillance and control of many pathogens.
Boon, Nele AM   +6 more
core   +2 more sources

A Comparative Study of VTEC Estimates Derived From S/X VLBI and VGOS Observations

open access: yesSpace Weather, Volume 23, Issue 12, December 2025.
Abstract The ionosphere, which strongly varies in time and space, is one of the largest error sources for microwave measurements, if not accounted for accurately. Especially for single‐frequency observations, precise ionospheric models are needed to correct for the ionospheric delays. This study explores the utility of Very Long Baseline Interferometry
Arno Rüegg   +2 more
wiley   +1 more source

Anomalies and Their Short‐Sale Costs

open access: yesThe Journal of Finance, Volume 80, Issue 6, Page 3639-3694, December 2025.
ABSTRACT Short‐sale costs eliminate the abnormal returns on asset pricing anomaly portfolios. While many anomalies persist out‐of‐sample before accounting for short‐sale costs, they cannot be exploited with long‐short strategies due to stock borrow fees.
DMITRIY MURAVYEV   +2 more
wiley   +1 more source

Modeling and assessment of five-frequency BDS precise point positioning

open access: yesSatellite Navigation, 2022
Since its full operation in 2020, BeiDou Satellite Navigation System (BDS) has provided global services with highly precise Positioning, Navigation, and Timing (PNT) as well as unique short-message communication.
Zhiyuan Wu   +4 more
doaj   +1 more source

Exploring Salinity Gradient Power in Sweden: Key Factors, Machine Learning Predictive Modeling, and Life Cycle Assessment

open access: yesAdvanced Energy and Sustainability Research, Volume 6, Issue 11, November 2025.
This study optimizes salinity gradient power generation using reverse electrodialysis (RED) by analyzing key operational parameters through factorial experiments and machine learning. Life cycle assessment reveals RED environmental impact and sustainability compared to other renewables, offering insights into future material choices and system ...
Younes Mohammadi   +5 more
wiley   +1 more source

Pemodelan Dan Validasi Hubungan Antara Frekuensi Kritis Lapisan F2 Ionosfer (Fof2) Dengan Total Electron Content (Tec) Dari Data Ionosonda Dan GPS [PDF]

open access: yes, 2010
Hubungan antara frekuensi kritis lapisan F2 ionosfer (foF2) dengan total electron content (TEC) telah dimodelkan menggunakan data foF2 keluaran model sederhana ionosfer lintang rendah Indonesia (MSILRI) dan TEC yang diturunkan dari data GPS (Global ...
Muslim, B. (Buldan)
core  

COF@MXene Composites: A Paradigm Shift in Advanced Materials for Multifunctional Applications in Energy, Environmental Protection, and Catalysis

open access: yesEcoMat, Volume 7, Issue 11, November 2025.
COF@MXene composites combine MXenes' conductivity with COFs' porosity, enhancing performance in energy storage, catalysis, and environmental remediation. They offer design flexibility for next‐generation sustainable technologies. ABSTRACT COF@MXene composites are an emerging class of hybrid materials that integrate excellent electrical conductivity and
Abbas Ali   +9 more
wiley   +1 more source

LARRES: A New Deep Learning Based Global Ionosphere Map Prediction Model With Large Receptive Field

open access: yesSpace Weather, Volume 23, Issue 11, November 2025.
Abstract Ionospheric delay poses significant challenges for satellite‐based communication and navigation applications. Predicting the global ionosphere variation can help to capture the vertical total electron content (VTEC) in advance, which improves the signal stability of communication and navigation, and supports these space‐related technologies ...
Yonggai Zhuang   +7 more
wiley   +1 more source

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