Interconnection and coexistence of heterogeneous network:requirements, challenges, and architecture by Hongbin LUO, Shan ZHANG, Zhiyuan WANG

“…With the rapid development of the network technology and applications, many networks with different types of topologies and services have been emerging, such as Internet, satellite Internet, industrial Internet, unmanned aerial vehicle swarm network, and vehicle Internet, forming a situation in which many differentiated network systems coexist, to this end, the requirements and challenges were elaborated for heterogeneous networks to be integrated and coexist.Then CoLoR, an architecture for securely and efficiently interconnect heterogeneous networks was introduced.Based on the consistent function (i.e., information transmission) among heterogeneous network systems, CoLoR introduces multi-dimensional namespace for the universal representation.Moreover, CoLoR decouples the intra-domain routing and the inter-domain routing to ensure the evolution ability.Finally, CoLoR also constructs an efficient cross-domain communication mode and a security guarantee mechanism.…”
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Ralph Waldo Emerson, ou le génie de l’imitation by Thomas Constantinesco

“…This prospective impulse is however undermined by the subject’s realization that he is “warped by [his predecessors’] attraction clean out of [his] own orbit, and made a satellite out of a system” (“The American Scholar,” 59). …”
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Road Transport and Urban Mobility Greenhouse Gas Emissions Factor for Air Pollution Modeling in Burkina Faso by Issaka Abdou Razakou Kiribou, Tiga Neya, Bernard Nana, Kehinde Ogunjobi, Tizane Daho, Y․ Woro Gounkaou, Faith Mawia Muema, Dejene W. Sintayehu

“…The analysis has included satellite NO2 emission data. The city suffers from significant gas emissions and air pollutants resulting from the high vehicle fleet growth and fuel consumption. …”
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Developing a method for root-zone soil moisture monitoring at the field scale using remote sensing and simulation modeling by Hamideh Noory, Morteza Khoshsima, Atsushi Tsunekawa, Mitsuru Tsubo, Nigussie Haregeweyn, Salar Pashapour

“…Specifically, effective soil parameters and crop growth in the SWAP model were parameterized and updated using satellite-based surface SM and leaf area index data obtained using inverse modeling and assimilation techniques. …”
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Temperature Is a Key Factor Affecting Total Phosphorus and Total Nitrogen Concentrations in Northeastern Lakes Based on Sentinel-2 Images and Machine Learning Methods by Haoming Qin, Chong Fang, Ge Liu, Kaishan Song, Zhuoshi Li, Sijia Li, Hui Tao, Zhaojiang Yan

“…This study utilized machine learning algorithms based on Sentinel-2 satellite imagery for remote estimation of TP and TN concentrations in Lake Xingkai, Chagan and Songhua. …”
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Scaling Arctic landscape and permafrost features improves active layer depth modeling by Wouter Hantson, Daryl Yang, Shawn P Serbin, Joshua B Fisher, Daniel J Hayes

“…In this paper, we studied the fine-scale heterogeneity of ALD and its connections with land surface characteristics across spatial and spectral scales using a combination of ground, unoccupied aerial system, airborne, and satellite observations. We showed that airborne sensors such as AVIRIS-NG and medium-resolution satellite Earth observation systems like Sentinel-2 can capture the average ALD at the landscape scale. …”
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Remote-sensing detectability of airborne Arctic dust by N. T. O'Neill, K. Ranjbar, L. Ivănescu, Y. Blanchard, S. A. Sayedain, Y. AboEl-Fetouh

“…While there is little dispute about the presence of both Asian and local dust across the Arctic, the direct RS detectability of airborne dust, as ascribed to satellite (MODIS and AVHRR) measurements of significantly negative brightness temperature differences at 11 and 12 <span class="inline-formula">µ</span>m (BTD<span class="inline-formula">_11–12)</span>, has been misrepresented in certain cases. …”
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Ionospheric Response to the 24–27 February 2023 Solar Flare and Geomagnetic Storms Over the European Region Using a Machine Learning–Based Tomographic Technique by Ting Li, Dunyong Zheng, Changyong He, Fei Ye, Pengfei Yuan, Yibin Yao, Mengguang Liao, Jian Xie

“…The IEDs were examined using observation data from the Swarm satellite. The CIT‐ML accuracy was 28.3% higher than the improved algebraic reconstruction technique with relaxation factor automatic search technology (IART‐AS), which effectively improved the typical ill‐posed problem of CIT. …”
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Expediated modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the USzenodo by Heather Simon, James Beidler, Kirk R. Baker, Barron H. Henderson, Loren Fox, Chris Misenis, Patrick Campbell, Jeff Vukovich, Norm Possiel, Alison Eyth

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Calculating the High‐Latitude Ionospheric Electrodynamics Using a Machine Learning‐Based Field‐Aligned Current Model by V. Sai Gowtam, Hyunju Connor, Bharat S. R. Kunduri, Joachim Raeder, Karl M. Laundal, S. Tulasi Ram, Dogacan S. Ozturk, Donald Hampton, Shibaji Chakraborty, Charles Owolabi, Amy Keesee

“…The cross polar cap potentials (ΦPC) from ML‐AIM, the Weimer (2005, https://doi.org/10.1029/2004ja010884) model, and the Super Dual Auroral Radar Network (SuperDARN) data‐assimilated potentials, are compared to the ones from 3204 polar crossings of the Defense Meteorological Satellite Program F17 satellite, showing better performance of ML‐AIM than others. …”
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STRUCTURAL MODELLING OF THE OIL POTENTIAL OF THE WEST CONGOLIAN SUB-BASIN THROUGH THE IDENTIFICATION OF GEOLOGICAL STRUCTURES AND GRAVIMETRIC ANOMALIES by Osée Mayinga Mayinga, Joël Etshekodi Lohadje, Franck Tondozi Keto, Prosper Aida Monkenya, Marlin Agolo Monza

“…To date, the Western Congo sub-basin has been relatively unexplored. The satellite data have been compared with the tectonic field model in order to highlight the structural patterns of this vast basin. …”
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Two Pediatric Cases of Primary Ciliary Dyskinesia Caused by Loss-of-Function Variants in Oral-Facial-Digital Syndrome Gene, OFD1 by Yifei Xu, Yuki Tsurinaga, Tsubasa Matsumoto, Ryuji Muta, Taichi Yano, Hiroshi Sakaida, Sawako Masuda, Koki Ueda, Guofei Feng, Shimpei Gotoh, Satoru Ogawa, Makoto Ikejiri, Kaname Nakatani, Mizuho Nagao, Masaki Tanabe, Kazuhiko Takeuchi

“…We report two male pediatric cases of PCD caused by hemizygous pathogenic variants in the OFD1 centriole and centriolar satellite protein (OFD1) gene. The variants were NM_003611.3: c.[2789_2793delTAAAA] (p.…”
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Dynamique d’occupation du sol des zones humides urbanisées de Dakar (Sénégal) de 1942 à 2014 by Diop Aimée, Hyacinthe Sambou, Cheikh Diop, Elysée Ntiranyibagira, Honoré Dacosta, Bienvenu Sambou

“…We used the aerial photographs of the years 1942, 1966 and 1978 and the satellite images of the years 2003 and 2014 to establish land-cover maps. …”
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Marketing analysis of the global market of telematics transport and information management systems by I. Yu. Okolnishnikova, A. V. Keller, V. Ya.  Konks

“…The main product macrosegments, namely navigation and satellite systems, unmanned vehicles, ADAS systems and insurance telematics, are studied in the same manner. …”
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Aptamer-conjugated gold nanoparticles enable oligonucleotide delivery into muscle stem cells to promote regeneration of dystrophic muscles by Francesco Millozzi, Paula Milán-Rois, Arghya Sett, Giovanni Delli Carpini, Marco De Bardi, Miguel Gisbert-Garzarán, Martina Sandonà, Ciro Rodríguez-Díaz, Mario Martínez-Mingo, Irene Pardo, Federica Esposito, Maria Teresa Viscomi, Marina Bouché, Ornella Parolini, Valentina Saccone, Jean-Jacques Toulmé, Álvaro Somoza, Daniela Palacios

“…Abstract Inefficient targeting of muscle stem cells (MuSCs), also called satellite cells, represents a major bottleneck of current therapeutic strategies for muscular dystrophies, as it precludes the possibility of promoting compensatory regeneration. …”
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Periapsis precession in general stationary and axisymmetric spacetimes by Jinhong He, Shaofei Xu, Junji Jia

“…The electric and NUT charges of the Earth, Sun and Sgr A* are constrained using the Mercury, satellite and S2 precession data. Periapsis shifts of other spacetimes are obtained too.…”
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6G oriented wireless communication channel characteristics analysis and modeling by Chengxiang WANG, Jie HUANG, Haiming WANG, Xiqi GAO, Xiaohu YOU, Yang HAO

“…,global coverage,all spectrums and all applications,we comprehensively survey 6G related wireless channel measurements,channel characteristics,and channel models for all frequency bands and all scenarios.Millimeter wave (mmWave),terahertz (THz),optical band,satellite,unmanned aerial vehicle (UAV),maritime,underwater acoustic,high-speed train (HST),vehicle-to-vehicle (V2V),massive/ultra-massive multiple-input multiple-output (MIMO),orbital angular momentum (OAM),and industry Internet of things (IoT) communication channels were particularly investigated.The related 6G channel measurement and modeling results were also given.Finally,future research challenges on 6G channel measurements and modeling were pointed out.…”
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Asymmetric Distribution of Plasma Blobs During High Solar Activity in the Low- to Middle-Latitude Ionosphere by Zhuo Huang, Jia Zhu, Weihua Luo, Zhengping Zhu, Guodong Jia, Shanshan Chang

“…Using the data from the first satellite of the Republic of China (ROCSAT-1) obtained during high-solar-activity periods (2000–2003), the distributions of plasma density enhancement (plasma blobs) with local time, season and longitude were investigated. …”
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Modulation recognition method based on multi-inputs convolution neural network by Xiong ZHA, Hua PENG, Xin QIN, Guang LI, Tianyun LI

“…In order to identify the main modulation modes adopted in current satellite communication systems,a signal modulation recognition algorithm based on multi-inputs convolution neural network was proposed.With the prior information of the signals and knowledge of the network topological structure,the time-domain signal waveforms were converted into eye diagrams and vector diagrams to represent the shallow features of the signals.Meanwhile,the modulation recognition model based on multi-inputs convolution neural network was designed.Through the training of the network,the shallow features were deeply extracted and mapped.Finally,the signal modulation recognition task was completed.The simulation results show that compared with the traditional algorithms and deep learning algorithms,the proposed method has a better anti-noise performance,and the overall recognition rate of this algorithm can reach 95% when the signal-to-noise ratio is 5 dB.…”
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A Novel 3D Indoor Localization Scheme Using Virtual Access Point by Taekook Kim, Eui-Jik Kim

“…However, GPS fails to operate inside buildings because satellite signals are blocked. Thus, GPS cannot be used for localization indoors. …”
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