A Simple Extension of Bayer Demosaicing for Lightweight Non-Bayer Demosaicing by Ki-Wook Hong, Minhyeok Jo, Haechang Lee, Se Young Chun, Albert No

“…Then, based on our investigation, we propose a simple yet effective solution to mitigate it: inserting a pixel unshuffle layer at the input of existing Bayer demosaicing networks. This key operation spatially restructures the input, enabling seamless adaptation to non-Bayer patterns without altering the original network architecture. …”
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Automated Image-Based Wound Area Assessment in Outpatient Clinics Using Computer-Aided Methods: A Development and Validation Study by Kuan-Chen Li, Ying-Han Lee, Yu-Hsien Lin

“…We also used a QR code as a reference because of its unique graphical pattern. We used the printed QR code on the patient’s identification sticker as a reference for length. …”
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Carbon Sink Capacity Assessment of Marine Shellfish and Macroalgae in Dalian in 2022 by Kaijia REN, Hongxia MING, Jihong ZHANG, Jie SU, Jingfeng FAN

“…Additionally, it is recommended to strengthen the aquaculture of algae and mussels with high carbon sink contribution rates and to promote the integrated multi-trophic aquaculture (IMTA) of shellfish and macroalgae to optimize the structure of the aquaculture industry (aquaculture species, spatial layout) in Dalian while realizing the effective expansion of carbon sinks of marine organisms, changing the pattern of carbon circulation in the aquaculture industry, and promoting the healthy development of aquaculture in Dalian.…”
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Avaliação no campo de um TDR segmentado para estimativa da umidade do solo Field evaluation of a TDR multilevel probe for soil moisture measurements by Rogerio Cichota, Quirijn de Jong van Lier

“…Analysis showed that TDR response pattern was different between periods contrary to soil water content. …”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…The integration of complementary pattern information deepens feature sharing, thereby enhancing the recognition accuracy of each task. …”
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Drivers of the spatiotemporal distribution of dissolved nitrous oxide and air–sea exchange in a coastal Mediterranean area by S. Flecha, M. de la Paz, F. F. Pérez, N. Marbà, C. Morell, E. Alou-Font, J. Tintoré, J. Tintoré, I. E. Hendriks

“…A consistent seasonal pattern was noted during the study period. Machine learning analysis indicated that seawater temperature was the primary factor influencing <span class="inline-formula">N₂O</span> concentrations, with lesser contributions from chlorophyll levels and salinity.…”
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Sensitivity Assessment on Satellite Remote Sensing Estimates of Primary Productivity in Shelf Seas by Xiaolong Zhao, Jianan Sun, Qingjun Fu, Xiao Yan, Lei Lin

“…The PP seasonal variation pattern was highly related to the parameterization scheme of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>P</mi><mrow><mi>o</mi><mi>p</mi><mi>t</mi></mrow><mi>B</mi></msubsup></mrow></semantics></math></inline-formula>, whereas the spatial distribution was mostly sensitive to the data sources of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>C</mi><mrow><mi>o</mi><mi>p</mi><mi>t</mi></mrow></msub></mrow></semantics></math></inline-formula>.…”
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Quantitative estimate of several sources of uncertainty in drone-based methane emission measurements by T. H. Mohammadloo, M. Jones, B. van de Kerkhof, K. Dawson, B. J. Smith, S. Conley, A. Corbett, A. Corbett, R. IJzermans

“…Typical implementations use the “mass balance method” to quantify emissions, with a high-precision methane sensor mounted on a quadcopter drone flying in a vertical curtain pattern; the total mass emission rate can then be computed post hoc from the measured methane concentration data and simultaneous wind data. …”
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Balancing LncRNA H19 and miR‐675 Bioconversion as a Key Regulator of Embryonic Myogenesis Under Maternal Obesity by Yao Gao, Md Nazmul Hossain, Liang Zhao, Xiangdong Liu, Yanting Chen, Jeanene Marie Deavila, Mei‐Jun Zhu, Gordon K. Murdoch, Min Du

“…MO altered epigenetic modifications of the H19 genomic cluster, showing a decreased methylation level in H19 imprinting control region (p < 0.05) and a diallelic expression pattern of H19, which elevated its expression in MO embryos. …”
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Tree growth decline to warm-wet conditions in boreal forests is linked to stand density by Bingqian Zhao, Yihong Zhu, Lushuang Gao, Qibing Zhang, Mingqian Liu, Klaus von Gadow

“…However, the notable decline in tree growth observed in the southern edge of boreal forests has heightened concerns over the spatial-temporal dynamics of forest decline. Currently, attaining a comprehensive grasp of the underlying patterns and their propelling factors remains a formidable challenge. …”
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Unraveling the spatiotemporal dynamics and drivers of surface and tropospheric ozone in China by Shuai Yin, Chong Shi, Husi Letu, Zhijun Jin, Qingnan Chu, Huazhe Shang, Dabin Ji, Meng Guo, Kunpeng Yi, Xin Zhao, Tangzhe Nie, Zhongyi Sun

“…The results suggest that O3 pollution in China has strong spatial characteristics and seasonal patterns. The nationwide tropospheric O3 pollution substantially deteriorated from 2005 to 2020, and the increasing rate of tropospheric column O3 in the four target regions ranged from 0.20 (0.15–0.26) Dobson Units yr−1 to 0.26 (0.17–0.34) Dobson Units yr−1. …”
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NASA GEOS Composition Forecast Modeling System GEOS‐CF v1.0: Stratospheric Composition by K. E. Knowland, C. A. Keller, P. A. Wales, K. Wargan, L. Coy, M. S. Johnson, J. Liu, R. A. Lucchesi, S. D. Eastham, E. Fleming, Q. Liang, T. Leblanc, N. J. Livesey, K. A. Walker, L. E. Ott, S. Pawson

“…During abnormal dynamical and chemical environments such as the 2020 polar vortexes, the GEOS‐CF O3 forecasts are more realistic than GEOS FP O3 forecasts because of the inclusion of the complex GEOS‐Chem UCX stratospheric chemistry. Overall, the spatial patterns of the GEOS‐CF simulated concentrations of stratospheric composition agree well with satellite observations. …”
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Estimation of Ca2+ wet deposition in the Northern Hemisphere by use of CNN deep-learning model by Wanying Chen, Xingcheng Lu, Chaofan Xian, Xu Sun, Yiang Chen, Mingyun Hu, Geng Li, Jimmy C.H. Fung

“…Our findings provide insights into Ca2+ wet deposition patterns and underline ecological importance, supporting future environmental management.…”
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Roman Terni. A GIS-based approach for the study of Interamna Nahars (Terni) in Roman times by Federico Sciacca

“…The centre run across little changes in it urban pattern, up to the first decades of the 20th Century, when it was radically transformed, at such degree that the identification of the ancient evidence can be performed by few and scanty traces. …”
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A hybrid deep learning framework for global irradiance prediction using fuzzy C-Means, CNN-WNN, and Informer models by Walid Mchara, Lazhar Manai, Mohamed Abdellatif Khalfa, Monia Raissi, Wissem Dimassi, Salah Hannachi

“…The FCM layer first groups meteorological data into coherent clusters, reducing noise and isolating localized patterns. CNNs then extract high-level spatial features from each cluster, while WNNs decode multi-resolution irradiance dynamics, capturing both abrupt fluctuations and gradual trends. …”
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Development of a high-resolution dataset of future monthly surface solar radiation by combining CMIP6 projections and satellite-based retrievals by Jun-Mei He, Liang Hong, Ning Lu, Chang-Kun Shao, Kun Yang, Wen-Jun Tang

“…Evaluation against ground-based observations during historical periods (1960–2017) shows that the synthesized SSR outperforms individual CMIP6 models and their original multi-model mean, with a reduced RMSE from 32 to 36 W/m2 to 25 W/m2 and a bias from 5 to 13 W/m2 to −1 W/m2 on monthly scales. The spatial patterns also agree well with the ISCCP‒ITP‒CNN (1983–2018). …”
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Scientific geovisualization of the dynamics of Sargassum dispersion and landfall in the Caribbean, based on satellite imagery and numerical forecasts. by Francisco Javier Osorno-Covarrubias, Jorge Prado Molina, Gabriela Gómez-Rodríguez, Uriel Mendoza, Stéphane Couturier

“…This study focuses on the spatial and temporal representation of Sargassum dispersal and landfall dynamics. …”
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Filling knowledge gaps: A methodological approach for the rapid investigation of species with restricted populations by André Cesar Furlaneto Sampaio, Pablo Melo Hoffmann, Elivelton Marcos Gurski, Ollyver Rech Bizarro, Santiago José Elías Velazco, Marcos Bergmann Carlucci, Marília Borgo, Mayara Monteiro Ferreira, Alessandro Camargo Angelo, Christopher Thomas Blum

“…In the third phase, we analyzed spatial patterns using Morisita’s Index and Ripley’s K function. …”
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Estimating comprehensive growth index for drip-irrigated spring maize in junggar basin via satellite imagery and machine learning by Mingjie Ma, Jinghua Zhao, Tingrui Yang, Feng Liu, Yingying Yuan, Shijiao Ma, Zikang Chang

“…Additionally, the study generated field-scale CGI spatiotemporal distribution maps, revealing the temporal and spatial variation patterns of crop growth. In summary, this study provides an efficient method for monitoring the growth of drip-irrigated spring maize in Northwest China, offering valuable guidance for precision agriculture management and sustainable development.…”
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Iconografia das fronteiras das Guianas by Gutemberg de Vilhena Silva, Clicia Vieira Di Miceli, Brenda Farias da Silva

“…The work was organized on major axes (circulation, trade and architectural pattern) so that we analyzed important issues to give visibility to the spatialities and problems by which the border cities of Guiana structure, interact and create peculiar landscapes in their geographies. …”
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