Multi-omics elucidates the kidney damage caused by aquatic Cu via the gut-kidney axis in ducks by Mingcai Duan, Jinyu Liu, Zhaoxia Cai, Li Chen, Yong Tian, Wenwu Xu, Tao Zeng, Tiantian Gu, Lizhi Lu

“…These findings shed light on the underlying mechanisms of Cu-induced kidney damage via the indirect pathway of the gut-kidney axis.…”
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Clinical confocal laser endomicroscopy for imaging of autofluorescence signals of human brain tumors and non-tumor brain by Marlen Reichenbach, Sven Richter, Roberta Galli, Matthias Meinhardt, Katrin Kirsche, Achim Temme, Dimitrios Emmanouilidis, Witold Polanski, Insa Prilop, Dietmar Krex, Stephan B. Sobottka, Tareq A. Juratli, Ilker Y. Eyüpoglu, Ortrud Uckermann

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Neurological sequelae of long COVID: a comprehensive review of diagnostic imaging, underlying mechanisms, and potential therapeutics by Grant McGee Talkington, Grant McGee Talkington, Paresh Kolluru, Timothy E. Gressett, Timothy E. Gressett, Saifudeen Ismael, Umar Meenakshi, Mariana Acquarone, Rebecca J. Solch-Ottaiano, Amanda White, Blake Ouvrier, Blake Ouvrier, Kristina Paré, Nicholas Parker, Amanda Watters, Nabeela Siddeeque, Brooke Sullivan, Nilesh Ganguli, Victor Calero-Hernandez, Gregory Hall, Michele Longo, Gregory J. Bix, Gregory J. Bix, Gregory J. Bix, Gregory J. Bix

“…Furthermore, we characterize how diagnostic tools such as PET, MRI, EEG, and ultrasonography provide critical insight into subtle neurological anomalies that may mechanistically explain the Long COVID disease phenotype. …”
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Social media use is associated with body image concern in young adults during the COVID-19 pandemic by Marina de Sá Azevedo, Brenda Esper-Pereira, Larissa Vaz-Gonçalves, Raquel Machado Schincaglia, Marília Mendonça Guimarães, Karine Anusca Martins, Luciana Bronzi de Souza

Subjects: “…Body Image…”
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Boundary Extraction Based on Dual Stream Deep Learning Model in High Resolution Remote Sensing Images by Umut Aydar, Emin Özgür Avşar, Özgün Akçay, A. Cumhur Kınacı

“…The outcomes clearly revealed the importance of using multispectral band, height data and vegetation information as input data in boundary extraction beside commonly used RGB images.…”
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Enhancing paddy leaf disease diagnosis -a hybrid CNN model using simulated thermal imaging by Jagamohan Padhi, Kunal Mishra, Ashoka Kumar Ratha, Santi Kumari Behera, Prabira Kumar Sethy, Aziz Nanthaamornphong

“…A dataset of 5,932 self-generated rice leaf images was augmented with simulated thermal images to capture subtle temperature variations indicative of early stress responses prior to visible symptoms. …”
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The Effects of Single and Bimetallic Silicon Composite Shields in Medical Imaging Methods: A Monte Carlo Study by Abbas Ali Nazeri, Reza Malekzadeh, Parinaz Mehnati, Soheila Refahi

“…To select bimetallic compounds with a high attenuation coefficient, it is better to match the energy used in the imaging method specifically. For example, in the 70-90 KeV energy range, the Sn-W combination had the highest beam attenuation coefficient. …”
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A Hybrid Particle Swarm Optimization-Tuning Algorithm for the Prediction of Nanoparticle Morphology from Microscopic Images by Abhishek Singh, Thaseem Thajudeen

“…In this study, we propose a combination of evolutionary algorithm and forward tuning model to predict the best fit 3-dimensional structures of aggregates from their projection images. 2-dimensional features from a projection image are compared to the candidate projections generated using FracVAL code and optimized using Particle Swarm Optimization to obtain the 3-dimensional structure of the aggregate. …”
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Visualization of Snow Cover Changes in the Greater Caucasus Mountains Using Integrated Multi-Sensor Image Fusion by Imrani Zaur, Rasouli Aliakbar

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An Automatic Decision-Level Fusion Rice Mapping Method of Optical and SAR Images Based on Cloud Coverage by Xueqin Jiang, Song Gao, Huaqiang Du, Shenghui Fang, Yan Gong, Ning Han, Yirong Wang

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Amniotic fluid microbiota and metabolism with non-syndromic congenital heart defects: a multi-omics analysis by Wenli Xu, Lu Li, Hong Kang, Meixian Wang, Yanqun Liu, Guicun Wang, Ping Yu, Juan Liang, Zhen Liu

“…BMC Pregnancy and Childbirth…”
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Fusion of multi-scale attention for aerial images small-target detection model based on PARE-YOLO by Huiying Zhang, Pan Xiao, Feifan Yao, Qinghua Zhang, Yifei Gong

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Physiological and multi-omics analysis revealed the mechanism of arbuscular mycorrhizal fungi to cadmium toxicity in green onion by Kunhao Xie, Yixuan Chen, Xiaoqin Wang, Xiaoya Zhou, Yizhe Cheng, Xianchang Yu, Jun Wang, Mintao Sun, Yansu Li, Chaoxing He

“…Transcriptomic and metabolomic correlation analyses revealed that differentially expressed genes and metabolites in AMF-inoculated green onion under Cd stress were predominantly enriched in the “phenylpropanoid biosynthesis” and “phenylalanine metabolism” pathways, upregulated the expression of the HCT, PRDX6, HPD, MIF, and HMA3 genes, and accumulation of the phenylalanine, L-tyrosine, and 1-O-sinapoyl-β-glucose metabolites. …”
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Crack propagation and CT imaging of internal cracks in rocks damaged by pre-compression under explosive loading by Qiangqiang Zheng, Pingfeng Li, Ying Xu, Bing Cheng, Hao Hu, Hao Shi, Shoudong Xie

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Shedding light on the unseen: how live imaging of translation could unlock new insights in developmental biology by Dufourt, Jeremy, Bellec, Maelle

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SSL-MBC: Self-Supervised Learning With Multibranch Consistency for Few-Shot PolSAR Image Classification by Wenmei Li, Hao Xia, Bin Xi, Yu Wang, Jing Lu, Yuhong He

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Body image of men and women with congenital heart disease over a 15 years observational period by Siegfried Geyer, Claudia Dellas, Elmar Brähler, Johannes Beller

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Handwriting Digital Image Generation based on GAN: A Comparative Study of Basic GAN and CGAN Models by Zeng Hongzhi

“…The vast application of artificial intelligence in numerous fields—image generation being one of them—has been made possible by the quick development of deep learning. …”
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Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities by Thien B. Nguyen-Tat, Tran Quang Hung, Pham Tien Nam, Vuong M. Ngo

Subjects: “…Medical image preprocessing…”
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Localization of mobile robot in prior 3D LiDAR maps using stereo image sequence by I.V. Belkin, A.A. Abramenko, V.D. Bezuglyi, D.A. Yudin

“…The paper studies the real-time stereo image-based localization of a vehicle in a prior 3D LiDAR map. …”
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