Destripe Any Scale: Effective Stripe Removal Via Multiscale Decomposition Using the Luojia3-02 Stripe-Noise Dataset by Ru Chen, Mi Wang, Yingdong Pi, Ru Wang, Tao Peng, Fan Yang, Rongfan Dai

“…To overcome these challenges, we present Destripe Any Scale, a novel hybrid destriping framework that integrates multiscale decomposition with deep-learning techniques. …”
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Integration of Culture and Tourism Enabled by the Gaming Industry from the Perspective of Field Transformation: A Case Study of "Black Myth: Wukong" by Liu Mengyao, Wang Pengfei, Wang Chaoyue, Fan Lihui

“…The findings indicate that digital technologies not only overcome spatial constraints on cultural resources but also enhance interactivity and dissemination, promoting the transformation of symbolic capital into cultural, social, and economic capital. …”
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Simulated density reorganization on the Weddell Sea continental shelf sensitive to atmospheric forcing by V. Teske, V. Teske, R. Timmermann, C. Nissen, C. Nissen, R. Zentek, R. Zentek, T. Semmler, T. Semmler, G. Heinemann

“…As cross-slope currents disturb the continuity of the V-shape, we define a spatial grade of connectivity to quantify the lateral integrity of the V-shape along the continental slope. …”
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Machine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data by N. Mandal, P. Das, K. Chanda, K. Chanda

“…</a>, <a href="#bib1.bibx49">2024</a>)</span>, featuring a spatial resolution of 0.50° <span class="inline-formula">×</span> 0.50° and offering global coverage.…”
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Time-series forest age estimation in Xinjiang based on forest disturbance and recovery detection by Lili Zhai, Mei Zan, Mao Ye, Jia Zhou, Cong Xue, Shunfa Yang, Yuntong Liu

“…The age of a forest serves as a critical indicator of both its carbon stock and its capacity for carbon volume within forest ecosystems. The high spatial and temporal resolution of forest age improves the accuracy of estimates for forest biomass, storage, and carbon stocks. …”
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Extraction of Garlic in the North China Plain Using Multi-Feature Combinations from Active and Passive Time Series Data by Chuang Peng, Binglong Gao, Wei Wang, Wenji Zhu, Yongqi Chen, Chao Dong

“…Additionally, remote sensing data are often affected by weather conditions, spatial resolution, and revisit frequency, which can result in delayed and inaccurate area extraction. …”
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Vehicle extrication in road traffic crashes: a descriptive analysis of an advanced medical rescue service in South Africa by Naseef Abdullah, Jaydon Rose, Egnall Brown, Heike Geduld

“…Most patients (83.1 %, n = 24,588) presented with routine (green) or non-urgent (yellow) acuity, though rural areas exhibited a higher proportion of high-acuity cases Conclusion: This first comprehensive analysis of the RTC extrication burden in a South African province reveals significant spatial and temporal variations in rescue needs and techniques. …”
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Solar Energy Datasets of Deep Learning Models Incorporating with GK-2A and ASOS Ground Measurements by Jong-Sung Ha, Seungtaek Jeong, Seyun Min, Yejin Lee, Suhwan Kim, Doehee Han, Jong-Min Yeom

“…This study presents the construction and evaluation of a dataset for estimating solar energy using the GK-2A satellite and deep learning. …”
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Mapping the rapid growth of multi-omics in tumor immunotherapy: Bibliometric evidence of technology convergence and paradigm shifts by Huijing Dong, Xinmeng Wang, Yumin Zheng, Jia Li, Zhening Liu, Aolin Wang, Yulei Shen, Daixi Wu, Huijuan Cui

“…Additionally, proteomic analysis of melanoma patients suggests that metabolic biomarkers, particularly oxidative phosphorylation and lipid metabolism, may stratify responders to PD-1 blockade therapy. Moreover, spatial omics has confirmed ENPP1 as a potential novel therapeutic target in Ewing sarcoma. …”
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Advancing geodynamic research in Antarctica: reprocessing GNSS data to infer consistent coordinate time series (GIANT-REGAIN) by E. Buchta, M. Scheinert, M. A. King, M. A. King, T. Wilson, A. Koulali, P. J. Clarke, D. Gómez, E. Kendrick, C. Knöfel, C. Knöfel, P. Busch, P. Busch

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Towards Operational Dam Monitoring with PS-InSAR and Electronic Corner Reflectors by Jannik Jänichen, Jonas Ziemer, Marco Wolsza, Daniel Klöpper, Sebastian Weltmann, Carolin Wicker, Katja Last, Christiane Schmullius, Clémence Dubois

“…This index categorizes visibility potential into three classes, presented in a ‘traffic light’ map, and is instrumental in selecting optimal installation sites. …”
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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

“…Notably, the majority of significant sources were not continuously active; however, when these sources switched “ON,” the spatial variability of AF cycle lengths in the respective atrium decreased by more than 50%, suggesting an entraining effect.ConclusionsBy systematically optimizing the EGF Model's hyperparameters based on clinical outcomes, we reliably detect and target key AF sources that, when ablated, improve procedural success. …”
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Transformaciones industriales y expansión urbana en el Partido del Pilar. La ineficiencia del capitalismo en el proceso de construcción de la Región Metropolitana de Buenos Aires... by LUIS BRIANO, FEDERICO FRITZSCHE

“…In this sense, capitalism inefficiency generates socio-territorial inequalities (and inefficiencies) that became more complex the analysis, when adding spatial dimension. For it, we will refer briefly to the process of urban construction and expansion in a periurban district of Buenos Aires, according to the study of the role that some main actors play: state, land developers and industrial capital. …”
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Mapping heat-related risks in Swiss cities under different urban tree scenarios by Myke Koopmans, Jonas Schwaab, Ana M. Vicedo-Cabrera, Edouard L. Davin

“…This underscores the positive role of urban trees in mitigating the urban heat effect.The risk mapping approach revealed a distinct spatial pattern for each city and high risk areas were identified.Generally, the high-risk areas in the analyzed cities cover the city centers and areas with high vulnerability.The ‘NoTree’ scenario showed higher risks compared to the baseline situation, illustrating that urban trees currently mitigate heat related risks in Swiss cities. …”
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Irrigation Suitability and Interaction Between Surface Water and Groundwater Influenced by Agriculture Activities in an Arid Plain of Central Asia by Chenwei Tu, Wanrui Wang, Weihua Wang, Farong Huang, Minmin Gao, Yanchun Liu, Peiyao Gong, Yuan Yao

“…Groundwater TDS (total dissolved solids) value exhibits significant spatial heterogeneity, ranging from 516 to 2684 mg/L. …”
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Association of activity-based food environment index with obesity-related cancer mortality in the US by Qinyun Lin, Xiang Chen, Xukun Xiang, Weixuan Lyu, Congcong Miao, Gaofei Zhang, Ran Xu

“…Existing studies on the relationship between healthy food access and obesity-related cancer mortality present mixed findings, whereas food procurement activities are largely overlooked. …”
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Leveraging Landsat and Google Earth Engine for long-term chlorophyll-a monitoring: A case study of Lake Balaton's water quality by Huan Li, Boglárka Somogyi, Xiaona Chen, Zengliang Luo, Katalin Blix, Sirui Wu, Zheng Duan, Viktor R. Tóth

“…With the longest global environmental record and a preferable spatial resolution, the satellite constellation Landsat is used for retrieving Chl-a in this study. …”
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Recent developments of artificial intelligence methods for sea ice concentration monitoring using high-resolution imaging datasets by Marzuraikah Mohd Stofa, Siti Raihanah Abdani, Asraf Mohamed Moubark, Muhammad Ammirrul Atiqi Mohd Zainuri, Ahmad Asrul Ibrahim, Nor Azwan Mohamed Kamari, Mohd Asyraf Zulkifley

“…These datasets include comprehensive spatial information, which is essential for accurate sea ice mapping and categorisation. …”
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Engineering of covalent organic framework (COF) via mono-doping and co-doping for the detection of CO2 gas pollutant by John A. Agwupuye, Ekere Nwachukwu Romanus, Janefrances Ngozi Ihedioha, Ismail O. Amodu, Bassey O. Ekpong, Destiny E. Charlie, Fehintola E. Umo, Modestar Chinecherem Agwupuye, Muhammad Zeeshan

“…Red colors observed at the center of all the B3O3 and benzene rings of the COF surface encompassing the doped metal and heteroatoms, identified steric repulsive forces, suggesting spatial constraints and repulsion among neighboring atoms. …”
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Evaluation of psychotropic effects of a novel chromone-containing allylmorpholine derivative in BALB/c mice by M. M. Puchik, D. D. Shitc, Yu. I. Sysoev, N. M. Chernov, I. A. Titovich, S. V. Okovityi

“…The study did not reveal any negative effect of the studied substance on spatial memory and grip strength of mice, which may indicate the absence of its neurotoxic effect.Conclusion. …”
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