Permafrost Dynamics Observatory: 3. Remote Sensing Big Data for the Active Layer, Soil Moisture, and Greening and Browning by Elizabeth Wig, Kevin Schaefer, Roger Michaelides, Richard Chen, Leah K. Clayton, Brittany Fager, Lingcao Huang, Andrew D. Parsekian, Howard Zebker, Yingtong Zhang, Yuhuan Zhao

“…The Arctic‐Boreal Vulnerability Experiment's Permafrost Dynamics Observatory (PDO) contains data about permafrost subsidence, active layer thickness (ALT), soil water content, and water table depth, derived from airborne radar measurements at 66 image swaths in 2017. With nearly 58,000,000 pixels available for analysis, this data set enables new discoveries and can corroborate findings from previous studies across the Arctic‐Boreal region. …”
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Highly Strained AlGaAs‐GaAsP Nanomembranes‐Based High‐Performance Diode by Haris Naeem Abbasi, Moheb Sheikhi, Donghyeok Kim, Ranveer Singh, Jiarui Gong, Jie Zhou, Qiming Zhang, Shuoyang Qiu, Carolina Adamo, Patrick Marshall, Clincy Cheung, Vincent Gambin, Zhenqiang Ma

“…In addition, atomic force microscopy and scanning electron microscopy images confirm the smooth surface and uniformity of the NMs over the whole substrate without any formation of cracks, respectively. …”
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Study on the Fractal Characteristics of Coal Body Fissure Development and the Law of Coalbed Methane Migration of around the Stope by He Yang, Zhen Liu, Danliang Zhu, Wenzhi Yang, Dawei Zhao, Wendi Wang

“…Further, with the help of the fractal theory and box counting method, the fracture development characteristics of the overlying strata are quantitatively described on the basis of experimental images. Finally, by building a model for calculating the penetrability coefficient of coal seam based on fractal dimension of mining fissure and analyzing the relationship between fissure development and fractal dimension, the gas migration law and the fissure development areas of #7 and #8 overburden strata where CBM concentrates can be revealed and determined. …”
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Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-dimensional Data-driven Priors for Inverse Problems by Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh, Laurence Perreault-Levasseur

“…In this work, we propose addressing this issue by iteratively updating the population-level distributions by retraining the model with posterior samples from different sets of observations, and we showcase the potential of this method on the problem of background image reconstruction in strong gravitational lensing when score-based models are used as data-driven priors. …”
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Improving Road Semantic Segmentation Using Generative Adversarial Network by Arnick Abdollahi, Biswajeet Pradhan, Gaurav Sharma, Khairul Nizam Abdul Maulud, Abdullah Alamri

“…In experiments conducted on the Massachusetts road image dataset, the proposed approach achieves 91.54% precision and 92.92% recall, which correspond to a Mathews correlation coefficient (MCC) of 91.13%, a Mean intersection over union (MIOU) of 87.43% and a F1-score of 92.20%. …”
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Remote sensing-based winter wheat yield estimation integrating machine learning and crop growth multi-scenario simulations by Xin Du, Jiong Zhu, Jingyuan Xu, Qiangzi Li, Zui Tao, Yuan Zhang, Hongyan Wang, Haoxuan Hu

“…Model simplification showed that accuracy decreased when fewer remote sensing images were used, yet achieved reasonable estimates (two temporal phases: R2 of 0.41/0.40 at plot/county level). …”
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Examine the Availability and Safety of Mucosal Cutting Biopsy Technique for Diagnosis of Gastric Submucosal Tumor by Kazuhiro Mizukami, Osamu Matsunari, Ryo Ogawa, Yuka Hirashita, Kazuhisa Okamoto, Kensuke Fukuda, Akira Sonoda, Hidetoshi Akiyama, Sotaro Ozaka, Yoshinari Kawahara, Tadayoshi Okimoto, Masaaki Kodama, Kazunari Murakami

“…GIST is an immunohistological diagnosis that cannot be made from images alone. Tissue sampling of tumor sites is thus becoming increasingly important. …”
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Structure and properties of nanosize NiFe2O4 prepared by template and precipitation methods by Ćosović A., Ćosović V., Žák T., David B., Talijan N.

“…The results of SEM microstructural analysis of the prepared Niferrite powders demonstrate evident influence of the applied preparation method whereas high-magnification FE-SEM images show very similar fine-grained structures characterized by different size of particles. …”
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Study of Simulation Test in Inclusion Rockburst by Zhidong Wang, Liyun Li, Bingquan Liu, Chuang Han, Tianxiang Lan

“…The failure process and displacement variation of rock specimens are recorded and measured by the high-speed camera system and digital image correlation method, and based on this, the characteristics and laws of rockburst are analyzed. …”
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FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection by Taojun Zhu, Zikai Zhao, Min Xia, Junqing Huang, Liguo Weng, Kai Hu, Haifeng Lin, Wenyu Zhao

“…Change detection (CD) aims to explore surface changes in coaligned image pairs. However, many existing networks primarily focus on learning deep features, without considering the impact of attention and fusion strategies on detection performance. …”
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Exometabolomic exploration of culturable airborne microorganisms from an urban atmosphere by R. Jin, W. Hu, W. Hu, P. Duan, M. Sheng, D. Liu, Z. Huang, M. Niu, L. Wu, J. Deng, P. Fu, P. Fu

“…Results showed that bacterial and fungal strains produced exometabolites with lower H <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mo>/</mo></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="8pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="1b4178c77ca0d4bfee6c9ddd864f3a43"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-1805-2025-ie00001.svg" width="8pt" height="14pt" src="acp-25-1805-2025-ie00001.png"/></svg:svg></span></span> C and higher O <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mo>/</mo></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="8pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="527256ea34e0af356380afd605ccefc0"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-1805-2025-ie00002.svg" width="8pt" height="14pt" src="acp-25-1805-2025-ie00002.png"/></svg:svg></span></span> C ratios compared with both consumed and resistant compounds. …”
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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…Then Landsat 8 remote sensing images are processed with SAGA GIS software, Google Earth Pro software, and Random Forest algorithm to classify the urban development area of Wuhan into 17 local climate zone (LCZ) types based on the remote sensing image classification method of World Urban Database and Access Portal Tools (WUDAPT). …”
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Scaling and intermittent properties of oceanic and atmospheric <i>p</i>CO₂ time series and their difference in a turbulence framework by K. Robache, F. G. Schmitt, Y. Huang, Y. Huang

“…Sea surface temperature is the only parameter for which a spectral slope close to <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M7" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">5</mn><mo>/</mo><mn mathvariant="normal">3</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="20pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="ba5d408bbcf130091b00ac176fd54124"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="npg-32-35-2025-ie00001.svg" width="20pt" height="14pt" src="npg-32-35-2025-ie00001.png"/></svg:svg></span></span> is found, corresponding to a passive scalar in homogeneous and isotropic turbulence. …”
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Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…The data used is primary data in the form of foot thermogram images from the General Hospital. Dr. Sardjito Yogyakarta consisting of 20 diabetes mellitus subjects and 20 control (healthy) subjects. …”
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Environmental Disinfection Based on Mobile Intelligent Networking Highly Efficient Ultraviolet Light Machines by Chun-Yen Chung, Wen-Tsai Sung, Lin-Chi Wang, Lailatus Siami, John Paul Santos

“…At the same time, a camera on the sterilizer would capture an image and notify the relevant personnel through a LINE notification, to prevent the human body from being exposed to ultraviolet light, causing harm to the teachers and students on campus. …”
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Determination of Crack Resistance of the Cover and Slide Glass by Indentation Method with the Visualization Using Atomic Force Microscopy by V. A. Lapitskaya, T. A. Kuznetsova, S. A. Chizhik

“…Atomic force microscope images of deformation region after indentation with a Vickers pyramid show that the first cracks appear at a load of 1 N on the slide glass, and at 2 N on the cover glass. …”
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Fabrication of Hybrid Materials Based on Waste Polyethylene/Porous Activated Metakaolinite Nanocomposite as an Efficient Membrane for Heavy Metal Desalination Processes by Mahmoud F. Mubarak, Mohamed A. Zayed, Ayman Nafady, Abeer E. L. Shahawy

“…The results obtained revealed that 0.5 wt% of PAMK clay particles produced the highest dispersion, as evident by SEM images of the nanocomposite membranes. Significantly, the constructed membrane showed marked improvements in porosity, hydrophilicity, and hydraulic resistance. …”
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Evaluation of Antimicrobial and Wound Healing Effects of Gold Nanoparticles Containing Abelmoschus esculentus (L.) Aqueous Extract by Shahla Korani, Khodabakhsh Rashidi, Mona Hamelian, Ali R. Jalalvand, Ahmad Tajehmiri, Mitra Korani, Thozhukat Sathyapalan, Amirhossein Sahebkar

“…XRD confirmed the crystalline nature of the nanoparticles. TEM images of Ok Au NPs showed a spherical shape and size range of 75 nm. …”
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Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in Nort... by Xiuyu Liu, Zhen Zhang, Tao Jiang, Xuehua Li, Yanyi Li

“…Additionally, the spatial distribution of TSM concentration was inversed by Hyperion remote sensing image. The results showed that the concentration of TSM was lower in the northwest and higher in the southeast, and the concentration distribution was uneven, showing the characteristics of a typical shallow macrophytic lake. …”
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The effects of tungsten content on the mechanical behavior, ignition and energy-release characteristics of short-tungsten-fibers/Zr-BMGCs under dynamic loading by Xin Yu, Jianbin Li, Xiqiang Gai, Chong Chen, Zhenxiong Wang, Xin Zhao, Hongwei Zhao, Kaichuang Zhang

“…However, analysis of binarized images and quasi-closed chamber overpressure data indicated that the flare area and peak overpressure are reduced at the same impact velocity of 1000 m/s, reflecting a lower energy density per unit mass and reaction efficiency of 435.5 J/g and 4.14 % for SWF/Zr-BMGCs compared to 1592.1 J/g and 15.12 % of Zr-BMGs. …”
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