Spatial Gap-Filling of Himawari-8 Hourly AOD Products Using Machine Learning with Model-Based AOD and Meteorological Data: A Focus on the Korean Peninsula by Youjeong Youn, Seoyeon Kim, Seung Hee Kim, Yangwon Lee

“…However, optical remote sensing encounters difficulties in detecting Aerosol Optical Depth (AOD) over cloud-covered regions, creating data gaps that limit comprehensive environmental analysis. This study introduces a spatial gap-filling method for Himawari-8/Advanced Himawari Imager (AHI) hourly AOD data, using a Random Forest (RF) model that integrates meteorological variables and model-based AOD data. …”
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Intracranial atherosclerosis: structure, clinical aspects and risk factors by Marine M. Tanashyan, Andrey S. Mazur, Anton A. Raskurazhev, Anna N. Berliand, Marina V. Dreval, Polina I. Kuznetsova, Оlga V. Lagoda

“…Atherosclerosis is a complex pathophysiological process with a wide range of clinical manifestations. …”
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Clouds Detection in Polar Icy Terrains: A Deformable Attention-Based Deep Neural Network for Multispectral Polar Scene Parsing by Shaojin Dong, Cailan Gong, Yong Hu, Long Cheng, Yang Wang, Fuqiang Zheng

“…Cloud detection is crucial for remote sensing image analysis. Presently, deep learning methods are the preferred choice for cloud detection. …”
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Syntalos: a software for precise synchronization of simultaneous multi-modal data acquisition and closed-loop interventions by Matthias Klumpp, Lee Embray, Filippo Heimburg, Ana Luiza Alves Dias, Justus Simon, Alexander Groh, Andreas Draguhn, Martin Both

“…Abstract Complex experimental protocols often require multi-modal data acquisition with precisely aligned timing, as well as state- and behavior-dependent interventions. …”
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Deep learning enabled integration of tumor microenvironment microbial profiles and host gene expressions for interpretable survival subtyping in diverse types of cancers by Haohong Zhang, Xinghao Xiong, Mingyue Cheng, Lei Ji, Kang Ning

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RELIGIOUS VOCABULARY IN THE UKRAINIAN BILINGUAL LEXICOGRAPHY FROM 1918 TO 1933 (a case study of nouns) by Liudmyla M. Tomilenko

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Abnormalities in the genioglossus muscle and its neuromuscular synapse in leptin-deficient male mice by Srujith Medharametla, Garrett Borger, Shashir Gaonkar, Isabel Martinez-Pena y Valenzuela

“…We conducted morphological and histochemical studies of the GG muscle; quantitative fluorescence imaging to assess the density and dynamics of nicotinic acetylcholine receptors (nAChRs) at the NMJ; high-resolution confocal microscopy to evaluate structural changes in the pre- and postsynaptic apparatus; and transmission electron microscopy for ultrastructural analysis. …”
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Study on phase characteristics of heterostructure por-Ga2O3/GaAs by S. S. Kovachov, I. T. Bohdanov, D. S. Drozhcha, K. M. Tikhovod, V. V. Bondarenko, I. G. Kosogov, Ya. O. Suchikova

“…The fabricated nanocomposite was comprehensively characterized using Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Analysis (EDX), and Raman Spectroscopy. SEM imaging revealed a range of agglomerated nanostructures dispersed across the surface, with dimensions ranging from 8–25 ?…”
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The influence of access to technology and digital literacy on female empowerment and digital entrepreneurial intentions by Ali Saleh Alshebami, Syed Ali Fazal, Abdullah M. Aljarodi, Nowshin Zarin, Abdullah Hamoud Ali Seraj, Elham Alzain

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A Universal Framework for Near-Real-Time Detection of Vegetation Anomalies from Landsat Data by Yixuan Xie, Zhiqiang Xiao, Juan Li, Jinling Song, Hua Yang, Kexin Lv

“…The accuracies may be affected by the complexity of the land surface, the quality of the Landsat image, and the accumulated probability threshold.…”
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Deciphering the role of metal ion transport-related genes in T2D pathogenesis and immune cell infiltration via scRNA-seq and machine learning by Zuhui Pu, Zuhui Pu, Tony Bowei Wang, Ying Lu, Ying Lu, Zijing Wu, Zijing Wu, Yuxian Chen, Ziqi Luo, Xinyu Wang, Lisha Mou, Lisha Mou

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Diagnosis and treatment development and innovations of glioma in China 2024 by YANG Xue⁃jun, SHI Wei, ZHANG Kai

“…Breakthroughs in rapid intraoperative molecular diagnostics, combined with AI⁃powered imaging analysis and clustered regularly interspaced short palindromic repeats (CRISPR), were poised to revolutionize precision diagnosis and treatment. …”
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Enhanced cancer cell sorting using lab-on-a-disk pattern design with magnetic and centrifugal forces by Bill Cheng, Wei-Cheng Chao, Yi-Han Chen, Yao-Tsung Lin

“…Fluorescence imaging as well as flow cytometric analysis revealed the successful retention of the microbead-bound cancer cells in the magnetic area, while the remaining biological mixture was retained in the reservoir area. …”
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Multiscale Convolutional Neural Networks for Hand Detection by Shiyang Yan, Yizhang Xia, Jeremy S. Smith, Wenjin Lu, Bailing Zhang

“…Unconstrained hand detection in still images plays an important role in many hand-related vision problems, for example, hand tracking, gesture analysis, human action recognition and human-machine interaction, and sign language recognition. …”
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Monitoring water reservoirs extent with Segment Anything Model applied to Sentinel imagery by G. Sergi, F. Bocchino, R. Ravanelli, M. Crespi

“…Furthermore, SAM performs better in simpler scenarios with uniform radiometric properties and regular water boundaries, achieving [Formula: see text] score close to 1 with seeds in any position within the water body. Conversely, in more complex scenarios, accurate seed prompt placement becomes critical; analysis of [Formula: see text] maps revealed that seeds placed near the edge of the water, where sharp gradients occur, significantly improve SAM segmentation performance.…”
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FF-YOLO: An Improved YOLO11-Based Fatigue Detection Algorithm for Air Traffic Controllers by Shijie Tan, Weijun Pan, Leilei Deng, Qinghai Zuo, Yao Zheng

“…This paper proposes FF-YOLO, an improved YOLO11-based deep learning algorithm, to detect ATCO fatigue states through facial feature analysis. A custom dataset comprising 25,154 facial images collected from 10 ATCOs was constructed for model training and validation. …”
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Right aortic arch with aberrant left subclavian artery and anomalous Circle of Willis supply by Ranjit N. Joseph, MD, Andrew J. Martin, MD, Nigel Wolfe, MD, Gi Tae Kwon, MD

“…No underlying genetic abnormalities were detected during further investigation with a chromosomal analysis. This case highlights the novel association between RAA and anomalies of the CoW, emphasizing the importance of detailed cerebrovascular imaging in patients with RAA. …”
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Structural Failures in an Architectural Heritage Site: Case Study of the Blagoveštenje Monastery Church, Kablar, Serbia by Jelena Ivanović-Šekularac, Neda Sokolović, Nikola Macut, Tijana Žišić, Nenad Šekularac

“…The methods used the study are long-term in situ observations including analysis, geodetic research, 3D laser imaging, geophysical, geological, archaeological research, evaluation of current condition, determination of structural failures and their cause and monitoring the structural behavior of elements. …”
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Food Fraud in Plant-Based Proteins: Analytical Strategies and Regulatory Perspectives by Jun-Hyeok Ham, Yeon-Jung Lee, Seung-Su Lee, Hae-Yeong Kim

“…Furthermore, we discuss key analytical techniques in detecting food fraud, including chromatography, DNA analysis, spectroscopy, and imaging-based approaches, examining their applications and effectiveness. …”
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Follicle architecture and innervation of functionally distinct rat vibrissae by Ben Gerhardt, Tobias Rodde, Jette Alfken, Jakob Reichmann, Tim Salditt, Michael Brecht

“…Abstract The vibrissa follicle is a complex mechanotransducer with intricate accessory structures such as vibrissa, ring sinus and ringwulst as well as rich innervation by diverse afferent types. …”
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