Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

“…Our goal is to develop and explain predictive models for these crops, using a large dataset of satellite images, additional data modalities, and crop yield maps. …”
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Evaluation on the Quasi‐Realistic Ionospheric Prediction Using an Ensemble Kalman Filter Data Assimilation Algorithm by Jianhui He, Xinan Yue, Huijun Le, Zhipeng Ren, Weixing Wan

“…Furthermore, the Thermosphere, Ionosphere, Mesosphere Energetics and Dynamics/Global Ultraviolet Imager (TIMED/GUVI) [O/N2] observations are used to validate the predicted thermosphere [O/N2]. …”
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Technical Report on the New Ultrasound Lateral Mid-Shaft Approach to the Sciatic Nerve: A Never-Ending Story by Giuseppe Sepolvere, Mario Tedesco, Mario Cibelli, Dario Cirillo, Angelo Sparaco, Giuseppe Gagliardi, Giuseppina Costagliola, Loredana Cristiano, Valeria Rita Scialdone, Maria Rosaria Pasquariello, Fabrizio Di Zazzo, Luigi Merola, Mirco Della Valle, Daniela Arminio, Leonardo Maria Bottazzo, Marco Folliero, Giorgio Ranieri, Domenico Pietro Santonastaso, Antonio Coviello

“…The ultrasound lateral mid-shaft technique appears to be a safe and effective method for performing a sciatic nerve block, even in obese patients with significant subcutaneous fat and unclear ultrasound images. This approach is particularly beneficial given the various anatomical variations that can occur. …”
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Epilepsy Prediction and Detection Using Attention-CssCDBN with Dual-Task Learning by Weizheng Qiao, Xiaojun Bi, Lu Han, Yulin Zhang

“…Initially, our model was designed to extract high-order and deep representations from EEG spectrum images, enabling the simultaneous capture of spatial and temporal information. …”
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Automated Defect Detection through Flaw Grading in Non-Destructive Testing Digital X-ray Radiography by Bata Hena, Gabriel Ramos, Clemente Ibarra-Castanedo, Xavier Maldague

“…Guided by ASTM 2973-15; Standard Digital Reference Images for Inspection of Aluminum and Magnesium Die Castings, a grading pipeline utilizing K-D (k-dimensional) trees was developed to effectively structure detected flaws, enabling the system to make decisions based on acceptable grading terms. …”
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A Novel Fluorescent Chemosensor Based on Rhodamine Schiff Base: Synthesis, Photophysical, Computational and Bioimaging Application in Live Cells by Oyedoyin Aduroja, Roosevelt Shaw, Sisay Uota, Isaac Abiye, James Wachira, Fasil Abebe

“…The probe <b>RdN</b> was applied to the image of Pb²⁺ and Cu²⁺ ions in living cells and is safe for biomedical applications. …”
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Comparison of optical coherence tomography vs. fluorescein angiography-based macular neovascularization classifications in age-related macular degeneration by Gábor G. Deák, Klaudia Birner, Bianca S. Gerendas, Georgios Mylonas, Günther Weigert, Martin Michl, Irene Steiner, Ursula M. Schmidt-Erfurth

“…We analyzed baseline FA and OCT images from 704 eyes of neovascular AMD patients across two multicenter trials, with grading conducted at the Vienna Reading Center. …”
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YOLOv8-CBAM: a study of sheep head identification in Ujumqin sheep by Qing Qin, Qing Qin, Qing Qin, Xingyu Zhou, Xingyu Zhou, Xingyu Zhou, Jiale Gao, Jiale Gao, Jiale Gao, Zhixin Wang, A. Naer, Long Hai, Suhe Alatan, Haijun Zhang, Zhihong Liu, Zhihong Liu, Zhihong Liu

“…IntroductionThe facial coloration of sheep is not only a critical characteristic for breed and individual identification but also serves as a significant indicator for assessing genetic diversity and guiding selective breeding efforts.MethodsIn this study, 201 Ujumqin sheep were used as research objects and 1713 head image data were collected. We delineated feature points related to the facial coloration of Ujumqin sheep and successfully developed a head color recognition model (YOLOv8-CBAM) utilizing the YOLOv8 architecture in conjunction with the CBAM attention mechanism.ResultsThe model demonstrated impressive performance in recognizing four head color categories, achieving an average precision (mAP) of 97.7% and an F1 score of 0.94. …”
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Linking Endotoxins, African Dust PM10 and Asthma in an Urban and Rural Environment of Puerto Rico by Mario G. Ortiz-Martínez, Rosa I. Rodríguez-Cotto, Mónica A. Ortiz-Rivera, Cedric W. Pluguez-Turull, Braulio D. Jiménez-Vélez

“…A retrospective data analysis (PM10 concentration, aerosol images, and pediatric asthma claims) was performed from 2000 to 2012 with particular emphasis in 2004 to classify PM samples. …”
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Comprehensive Overview - Outcomes and Challenges of Bariatric Surgery - Physical, Psychological and Nutritional Considerations by Katarzyna Doman, Dawid Komada, Kamil Hermanowicz, Daria Oleksy, Agnieszka Najdek, Urszula Kaczmarska, Aleksandra Woźniak, Marcin Mycyk, Julia Nowak, Michał Jakub Cioch

“…Post-bariatric surgery patients may face psychological challenges such as emotional dysregulation, eating disorders like loss of control eating or binge eating, and body image concerns related to excess skin. This article explores the various impacts of bariatric surgery, addressing both physical and psychological challenges. …”
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The so-called Mongolian spots and suspected child abuse - difficulties in differential diagnosis by Szymon Rzepczyk, Paweł Świderski, Damian Rusek, Jakub Czerwik, Ryszard Żaba, Czesław Żaba

“…The first court expert assessing the changes indicated that the image resembled resorbing haemorrhages resulting from trauma. …”
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Anti-cancer and antimicrobial efficacy of ZnO nanoparticles synthesized via green route using Amaranthus dubius (Spleen Amaranth) leaves extract by Faaiza Naaz K, Alavya Tiwari, Aabid Hussain Shaik, Indumathi P, Brianna Brianna, Ayaz Anwar, Mohammed Rehaan Chandan

“…The FTIR spectra indicated the formation of ZnO nanoparticles with distinct bands in the 400 and 600 cm−1 range, while SEM images revealed spherical-shaped nanoparticles, along with some flower-like structures, indicating a higher surface-to-volume ratio. …”
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Rapid and non-destructive classification of rice seeds with different flavors: an approach based on HPFasterNet by Helong Yu, Helong Yu, Zhenyang Chen, Shaozhong Song, Shaozhong Song, Shaozhong Song, Chunyan Qi, Junling Liu, Chenglin Yang

“…In this experiment, 19 categories of japonica rice seeds were selected, and a total of 36735 images were finally obtained. The lightweight network High Precision FasterNet (HPFasterNet) proposed in this study combines the Ghost bottleneck and FasterNet_T0 and introduces group convolution to compare the model performance. …”
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Creep Characteristics of Different Saturated States of Red Sandstone after Freeze-Thaw Cycles by Yongxin Che, Yongjun Song, Jianxi Ren, Jiaxing Chen, Xixi Guo, Hao Tan, Mengling Hu

“…It can be seen from the SEM image that the number of pores inside the rock samples gradually increases with increases in saturation, leading to the appearance of cracks. …”
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BMNet: Enhancing Deepfake Detection Through BiLSTM and Multi-Head Self-Attention Mechanism by Demao Xiong, Zhan Wen, Cheng Zhang, Dehao Ren, Wenzao Li

“…By leveraging the Bi-Directional Long Short-Term Memory Network (BiLSTM) for modeling temporal dependencies between video frames, and the Multi-Head Self-Attention Mechanism (MHSA) for capturing features from different regions of an image, BMNet more effectively identifies dynamic and local forgery features. …”
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Sparse Linear Discriminant Analysis With Constant Between-Class Distance for Feature Selection by Shuangle Guo, Yongxia Li, Jianguang Zhang, Yue Liu, Tian Tian, Mengchen Guo

“…The experimental results show that the proposed method has better performance compared to the baseline and six state-of-the-art relative methods, with improvements of over 1% on image datasets and over 2% on video datasets in most cases, while also demonstrating high stability, proving its effectiveness and advantage in practical applications.…”
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Normalized difference vegetation index prediction using reservoir computing and pretrained language models by John Olamofe, Ram Ray, Xishuang Dong, Lijun Qian

“…In this study, we examined plant health prediction through the Normalized Difference Vegetation Index (NDVI) calculated from satellite image derived reflectance values in the near-infrared and red spectra. …”
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OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Michael Kalloniatis, Erik Meijering

“…To address the issue, this study uses optical coherence tomography (OCT) images to develop an explainable artificial intelligence (XAI) tool for diagnosing and staging glaucoma, with a focus on its clinical applicability. …”
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A lead-free KNN-based, co-fired multilayered piezoceramic energy harvester with a high output current and power by Qiong Wu, Faqiang Zhang, Bing Wang, Zhi Cheng, Song Liu, Ronglei Zhu, Yuheng Huang, Jianglei Chang, Zhifu Liu, Shuxiang Dong

“…Each MLPC contains 11 piezoceramic layers, and the cross-section SEM image of the MLPC indicates that the ceramic layers are well connected with the Ag/Pd inner electrode layers. …”
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Synthesis and characterization of lithium transition orthosilicates Li2FexMn1-xSiO4 as cathode material by Ritesh Kumar, A.L. Sharma, R.K. Singh, Arvind Kumar, Pramod K. Singh, M.Z.A. Yahya, S.N.F. Yusuf, Markus Diantoro, Manoj K. Singh

“…Here, Li2FexMn1-xSiO4 (x = 0.3, 0.5, 0.7) cathode materials are synthesized by using sol-gel method, and physically characterized via X-ray diffraction (XRD), Field emission scanning electron microscopy (FESEM), and Energy dispersive X-ray (EDX). The FESEM images confirm the cubical shape particles in nanometers scale. …”
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