CC-Former: Urban Flood Mapping from InSAR Coherence with Vision Transformer: Libya and Storm Daniel as Test Case by T. Saleh, T. Saleh, T. Saleh, S. Holail, M. Al-Saad, F. Xu, M. Zahran, G.-S. Xia, G.-S. Xia

“…In this work, we address this problem by introducing a novel algorithm, coherence-guided change transformer (CC-Former), for urban flood mapping that leverages the coherence of interferometric SAR (InSAR) with vision transformers. …”
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Climate change reduces and shifts suitable habitats of Uapaca kirkiana Müll. Arg. to higher altitudes in Malawi by Bruno Kokouvi Kokou, Msiska Ulemu, Wouyo Atakpama, Séverin Biaou, Soloum Clément Teteli, Kouagou Raoul Sambieni, Frank Mnthambala, Tembo Mavuto, Paul Munyenyembe, Florent Noulèkoun

“…Overall, 9.29 % of Malawi was predicted as highly suitable for U. kirkiana occurrence, 17.39 % moderately suitable and 25.20 % poorly suitable. …”
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Correspondence between thalamic injury-induced changes in resting-state fMRI of monkeys and their sensorimotor behaviors and neural activities by Anirban Sengupta, Pai-Feng Yang, Jamie L. Reed, Arabinda Mishra, Feng Wang, Isaac V Manzanera Esteve, Zhangyan Yang, Li Min Chen, John C. Gore

“…Electrophysiological measurements of inter-electrode coherences and end-point histological measures also aligned well with the graded injury effects measured using rsfMRI-based FC. A simple algorithm employing FC measures from the somatosensory network could accurately predict each monkeys’ behavioral recovery timeframe after four weeks post-injury. …”
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Cardiac Magnetic Resonance Imaging with Myocardial Strain Assessment Correlates with Cardiopulmonary Exercise Testing in Patients with Pectus Excavatum by André Lollert, Tariq Abu-Tair, Tilman Emrich, Karl-Friedrich Kreitner, Alexander Sterlin, Christoph Kampmann, Gundula Staatz

“…In addition to cardiac volumetry, we assessed the strain rates of both ventricles using a feature-tracking algorithm of a piece of commercially available post-processing software. …”
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A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture by Hussain Mobarak Albarakati, Muhammad Attique Khan, Ameer Hamza, Faheem Khan, Naoufel Kraiem, Leila Jamel, Latifah Almuqren, Roobaea Alroobaea

“…Numerous advantages for sustainable agricultural applications, including yield prediction, crop monitoring, and climate change adaptation, can be obtained from RS and artificial intelligence. …”
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Numerical model of surface morphology and solid-liquid contact angle in wire electrical discharge machining by Zhi Chen, Yifei Zhou, Zefeng Yang, Zhizhong Zhang, Jian Li, Guojun Zhang, Fenglin Han

“…The established numerical model has been experimentally verified to have high prediction accuracy (the relative error less than 4%). …”
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Combined use of a broad-panel respiratory multiplex PCR and procalcitonin to reduce duration of antibiotics exposure in patients with severe community-acquired pneumonia (MULTI-CAP... by Isabelle Durand-Zaleski, Eric Maury, Bruno Megarbane, Tabassome Simon, Jean-François Timsit, Jean Dellamonica, Saad Nseir, Alexandra Rousseau, Laurence Bérard, Kada Klouche, Yacine Tandjaoui-Lambiotte, Jean Reignier, Laurent Argaud, Muriel Fartoukh, Keyvan Razazi, Laurence Armand-Lefevre, Bertrand Souweine, Guillaume Voiriot, Charlotte Verdet, Juliette Patrier, Jean-Christophe Richard, Carole Schwebel, Jean-Christophe Navellou, Pierre-Francois Dequin, Pierre-Edouard Bollaert, Marc Gainnier, Julien Bohe

“…The results will be disseminated through educational institutions, submitted to peer-reviewed journals for publication and presented at medical congresses.Trial registration number NCT03452826; Pre-results.…”
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The role of intracellular signaling in the stripe formation in engineered Escherichia coli populations. by Xiaoru Xue, Chuan Xue, Min Tang

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Modeling circadian variability of core-clock and clock-controlled genes in four tissues of the rat. by Panteleimon D Mavroudis, Debra C DuBois, Richard R Almon, William J Jusko

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Implementation of early warning system in the clinical teaching unit to reduce unexpected deaths by Rabia Shahid, Tara Swami, Ali Shams, Matthew Mittelstadt, Catherine Guenther, Tiffanie Tse, Hifsa Noor

“…Using individual patient’s vital sign records, this bedside score can identify early clinical deterioration, triggering a communication algorithm between nurses and physicians, thereby facilitating early patient intervention. …”
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基于数字图像比色法的食用油酸价检测研究Determination of acid value of edible oil by digital image colorimetry-based method by 李跃凡1，马改琴1，王媛媛1，张帆2，于修烛1LI Yuefan1, MA Gaiqin1, WANG Yuanyuan1, ZHANG Fan2, YU Xiuzhu1

“…The model established by the robust linear regression algorithm had the best prediction effect with a root mean square error of 0.734 3. …”
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The CD163 + tissue-infiltrating macrophages regulate ferroptosis in thyroid-associated ophthalmopathy orbital fibroblasts via the TGF-β/Smad2/3 signaling pathway by Xuemei Li, Siyi Wang, Hanwen Cao, Simin Xu, Chao Xiong, Jinhai Yu, Yunxiu Chen, Zhangjun Ren, Min Li, Ying Hu, Puying Gan, Qihua Xu, Yaohua Wang, Hongfei Liao

“…Finally, potential clinical drugs targeting CD163 + macrophages with high ferroptosis activity in TAO were predicted using the Random Walk with Restart (RWR) algorithm combined with the DGIdb database. …”
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THE USE OF SILICONE KEY AND METER CONVERGENCE ANGLE OF THE TOOTH TO CONTROL THE ACCURACY OF THE TOOTH PREPARATION FOR METAL-CERAMIC CROWNS by He Zhiqiang, Qin Lingfeng

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Direct Estimation of Forest Aboveground Biomass from UAV LiDAR and RGB Observations in Forest Stands with Various Tree Densities by Kangyu So, Jenny Chau, Sean Rudd, Derek T. Robinson, Jiaxin Chen, Dominic Cyr, Alemu Gonsamo

“…Then we train a deep learning model on annotations derived from MCWS to make crown predictions on UAV red, blue, and green (RGB) tiles. …”
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Meso-scale network analysis of resting state-fMRI brain network connectivity performs poorly as a prognostic tool in critically ill traumatic brain injury patients by Jonathan Tjerkaski, William H. Thompson, Bo-Michael Bellander, Eric P. Thelin, Peter Fransson

“…To further substantiate these results, we used the Louvain algorithm to detect the community structure of each TBI patient, to assess whether it differs from that of healthy individuals.We performed fMRI on 44 TBI patients who were admitted to the neurocritical care unit. …”
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A nomogram combining clinical features, O-RADS US, and radiomics based on ultrasound imaging for diagnosing ovarian cancer by Wenting Xie, Yaoqin Wang, Zhongshi Du, Yijie Chen, Xiaohui Ke, Tingfan Wu, Zhilan Wang, Lina Tang

“…O-RADS US characteristics, radiomics score, and clinical features selected using the LASSO algorithm were used to develop O-RADS US + Radscore + Clinical, Radscore + Clinical, and O-RADS US + Clinical models, respectively. …”
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Sensitivity analysis of six soil organic matter models applied to the decomposition of animal manures and crop residues by Daniele Cavalli, Pietro Marino Gallina, Luca Bechini

“…Two features distinguishing soil organic matter simulation models are the type of kinetics used to calculate pool decomposition rates, and the algorithm used to handle the effects of nitrogen (N) shortage on carbon (C) decomposition. …”
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Assessing the Effect of Water on Submerged and Floating Plastic Detection Using Remote Sensing and K-Means Clustering by Lenka Fronkova, Ralph P. Brayne, Joseph W. Ribeiro, Martin Cliffen, Francesco Beccari, James H. W. Arnott

“…A K-Means unsupervised clustering algorithm was used to classify the images into two clusters: plastic and water. …”
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Application of a modified set of GoogLeNet and ResNet-18 convolutional neural networks towards the identification of environmentally derived-MPLs in the Yadkin-pee dee river basin by Wesley Allen Williams, Anirudh Arunprasad, Shyam Aravamudhan

“…However, for the external trial, pictorial data from Primpke (FTIR) and DongMiller (Raman) was predicted less accurately, with the largest loss occurring across the following sets: U[GN(Raman) and RN(FTIR)], 45.5 and 35; p-value:, .3268 and .5476. …”
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Criteria for diagnosis of humoral rejection using the method of 2D-speckle-tracking echocardiography by L. K. Tkhatl, T. V. Stavenchuk, E. D. Kosmachova, I. A. Pashkova

“…The proposed diagnostic algorithm will predict humoral rejection.…”
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