Atmospheric Deposition of Phosphorus to the Everglades: Concepts, Constraints, and Published Deposition Rates for Ecosystem Management by Garth W. Redfield

“…With better sampling methods and more long-term monitoring data, the importance of atmospheric P deposition in ecosystem dynamics and management can be better understood and predicted.…”
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Segmentation of the iliac crest from CT-data for virtual surgical planning of facial reconstruction surgery using deep learning by Stefan Raith, Tobias Pankert, Jônatas de Souza Nascimento, Srikrishna Jaganathan, Florian Peters, Mathias Wien, Frank Hölzle, Ali Modabber

“…In all cases, the bones were identified as contiguous objects in the correct spatial orientation. The geometries of the iliac crests were consistently and completely recognized on both sides without any gaps. …”
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Studying attention to IPCC climate change maps with mobile eye-tracking. by Doga Gulhan, Bahador Bahrami, Ophelia Deroy

“…This study examines trends in visual attention to climate change predictions in world maps using mobile eye-tracking while participants engage with the visualisations. …”
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High temperatures will likely limit establishment success of the Brazilian peppertree thrips, Pseudophilothrips ichini (Thysanoptera: Phlaeothripidae) in the USA, despite variation... by Nathan Harms, Megann Harlow, Ian Knight, Aaron Schad

“…We measured upper limit of chill injury zone (ULCIZ) and lower limit of thermal injury zone (LLTIZ) in the laboratory under multiple combinations of temperature and exposure duration then modeled spatial variation in survival based on detailed weather data over 20 years. …”
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Distribution of different plant life forms on tropical islands: patterns and underlying mechanisms by Chengfeng Yang, Jingyan Zhao, Shengzhuo Huang, Shurong Zhou, Yikang Cheng

“…The structural equation model (SEM) revealed that island area, isolation, and climatic factors directly affect the richness and abundance of trees but not shrubs. …”
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The Role of [18F]FDG PET Imaging for the Assessment of Pulmonary Lymphangitic Carcinomatosis: A Comprehensive Narrative Literature Review by Francesco Dondi, Pietro Bellini, Michela Cossandi, Luca Camoni, Roberto Rinaldi, Gian Luca Viganò, Francesco Bertagna

“…Emerging digital PET/CT systems, with enhanced spatial resolution, may improve the detection of focal PLC and reduce false negatives. …”
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Microenvironment-confined kinetic elucidation and implementation of a DNA nano-phage with a shielded internal computing layer by Decui Tang, Shuoyao He, Yani Yang, Yuqi Zeng, Mengyi Xiong, Ding Ding, Weijun Wei, Yifan Lyu, Xiao-Bing Zhang, Weihong Tan

“…However, it is quite difficult to involve nanobodies into molecular computation with programmed recognition order because of the “always-on” response mode and the inconvenient molecular programming. Here we propose a spatial segregation-based molecular computing strategy with a shielded internal computing layer termed DNA nano-phage (DNP) to program nanobody into DNA molecular computation and build a series of kinetic models to elucidate the mechanism of microenvironment-confinement. …”
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Automatic Endoscopic Navigation for Monocular Depth and Ego-Motion Estimation in Wireless Capsule Endoscopy Through Transformer Network by Junjun Huang, Tianran He, Juan Xu, Weiting Wu, Wei Wu

“…To address these issues, we introduce a novel self-supervised neural network framework that integrates a dual-attention mechanism within a modified ResNet. This model simultaneously predicts depth maps and ego-motion from monocular GI images, without requiring ground truth depth data. …”
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Sevoflurane aggravates hypoxic-ischemic encephalopathy in preterm neonates via VGluT1 upregulation and myelinogenesis impairment by Minyang Qin, Dongyan Shi, Xiaoqian Song, Ruiqing Zhang, Zhaowei Feng, Longzhi Li

“…Behavioral assessments using the Morris water maze (MWM) revealed that sevoflurane significantly exacerbated HI-induced spatial learning and memory deficits. Immunohistochemical and Western blot analyses showed that sevoflurane exposure caused significant reductions in myelin basic protein (MBP) levels and disrupted oligodendrocyte maturation. …”
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Combining Sentinel-2 Data and Risk Maps to Detect Trees Predisposed to and Attacked by European Spruce Bark Beetle by Per-Ola Olsson, Pengxiang Zhao, Mitro Müller, Ali Mansourian, Jonas Ardö

“…The European spruce bark beetle is a major disturbance agent in Norway spruce forests in Europe, and with a changing climate it is predicted that damage will increase. To prevent the bark beetle population buildup, and to limit further spread during outbreaks, it is crucial to detect attacked trees early. …”
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Major depressive disorder on a neuromorphic continuum by Jiao Li, Zhiliang Long, Gong-Jun Ji, Shaoqiang Han, Yuan Chen, Guanqun Yao, Yong Xu, Kerang Zhang, Yong Zhang, Jingliang Cheng, Kai Wang, Huafu Chen, Wei Liao

“…However, interindividual variations suggest that depression may be conceptualized as a “continuum,” rather than as a “category.” We use a Bayesian model to decompose structural MRI features of MDD patients from a multisite cross-sectional cohort into three latent disease factors (spatial pattern) and continuum factor compositions (individual expression). …”
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Do the Street Sweeping and Washing Work for Reducing the Near-ground Levels of Fine Particulate Matter and Related Pollutants? by Sheng-Lun Lin, Yunzhou Deng, Ming-Yeng Lin, Shih-Wei Huang

“…Results show that there were certain reductions of PM2.5 after the street washing, especially for the road section with drainage ditch. …”
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Tracking Long-Term Ozone Pollution Dynamics in Chinese Cities with Meteorological and Emission Attribution by Hongrui Li, Xiaoyong Liu, Zijian Liu, Mengyang Li, Tong Wu, Peicheng Li, Peng Zhou

“…Although China has achieved substantial reductions in particulate matter pollution, continually rising ground-level ozone now constitutes the primary challenge to further air-quality improvements. …”
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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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Foreign object detection for mining conveyor belts based on YOLOv5n-CND by SUN Aoran, ZHAO Peipei, YANG Di, ZHANG Junyi, YU Hongjian

“…The mAP@0.5 and mAP@0.5:0.95 of YOLOv5n-CND were 2.6% and 3.4% higher than YOLOv5n, and 1.7% and 3.8% higher than YOLOv5s-CBAM, respectively. Although the model’s parameter count slightly increased compared to the YOLOv5n model, it was still lower than that of other models. …”
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Patterns and drivers of water-land resources nexus in arid inland river basins of northwestern China by Lingge Wang, Wei Liu, Qi Feng, Zhenliang Yin, Rui Zhu, Meng Zhu, Jutao Zhang, Yuanyuan Xue, Zexia Chen, Xuejiao Li

“…In this study, we evaluated and predicted water and land resource dynamics by combining the soil quality index function with MCE-CA-Markov and SWAT models. …”
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YOLOv8-OCHD: A Lightweight Wood Surface Defect Detection Method Based on Improved YOLOv8 by Zuxing Chen, Junjie Feng, Xueyan Zhu, Bin Wang

“…Compared with the YOLOv8n algorithm, the model size is significantly reduced, with the parameter count at only 2.9M and the computational load at 7.0G, representing reductions of 21.6% and 15.6%, respectively. …”
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The Relative Constraining Power of the High-z 21 cm Dipole and Monopole Signals by Jordan Mirocha, Chris Anderson, Tzu-Ching Chang, Olivier Doré, Adam Lidz

“…This result holds for most of the available prior volume, which is set by constraints on galaxy luminosity functions, the reionization history, and upper limits from 21 cm power spectrum experiments. We also find that predictions for the monopole from a dipole measurement are robust to different choices of signal model. …”
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Vergence Eye Movements: From Basic Science to Clinical Application by Wolfgang Jaschinski, Rudolf Groner

“…The authors propose mathematical models of calibration as part of the analysis of the experimental data. …”
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HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer by Chiara M. L. Loeffler, Hideaki Bando, Srividhya Sainath, Hannah Sophie Muti, Xiaofeng Jiang, Marko van Treeck, Nic Gabriel Reitsam, Zunamys I. Carrero, Asier Rabasco Meneghetti, Tomomi Nishikawa, Toshihiro Misumi, Saori Mishima, Daisuke Kotani, Hiroya Taniguchi, Ichiro Takemasa, Takeshi Kato, Eiji Oki, Yuan Tanwei, Wankhede Durgesh, Sebastian Foersch, Hermann Brenner, Michael Hoffmeister, Yoshiaki Nakamura, Takayuki Yoshino, Jakob Nikolas Kather

“…Circulating tumor DNA (ctNDA) detects molecular residual disease (MRD), but lacks spatial and tumor microenvironment information. Here, we develop a deep learning (DL) model to predict disease-free survival from hematoxylin & eosin stained whole slide images in stage II-IV colorectal cancer. …”
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