DeepAAT: Deep Automated Aerial Triangulation for Fast UAV-based Mapping

Automated Aerial Triangulation (AAT), aiming to restore image pose and reconstruct sparse points simultaneously, plays a pivotal role in earth observation. With its rich research heritage spanning several decades in photogrammetry, AAT has evolved into a fundamental process widely applied in large-scale Unmanned Aerial Vehicle (UAV) based mapping. Despite its advancements, classic AAT methods still face challenges like low efficiency and limited robustness. This paper introduces DeepAAT, a deep learning network designed specifically for AAT of UAV imagery. DeepAAT considers both spatial and spectral characteristics of imagery, enhancing its capability to resolve erroneous matching pairs and accurately predict image poses. DeepAAT marks a significant leap in AAT's efficiency, ensuring thorough scene coverage and precision. Its processing speed outpaces incremental AAT methods by hundreds of times and global AAT methods by tens of times while maintaining a comparable level of reconstruction accuracy. Additionally, DeepAAT's scene clustering and merging strategy facilitate rapid localization and pose determination for large-scale UAV images, even under constrained computing resources. The experimental results demonstrate DeepAAT's substantial improvements over conventional AAT methods, highlighting its potential in the efficiency and accuracy of UAV-based 3D reconstruction tasks. To benefit the photogrammetry society, the code of DeepAAT will be released at: https://github.com/WHU-USI3DV/DeepAAT

Intraoperative Liposomal Bupivacaine Does Not Reduce Opioid Use vs. Ropivacaine: A Systematic Review

Introduction: Liposomal bupivacaine (LB) is a long-acting analgesic that, due to its liposomal formulation, purportedly extends its analgesic effect up to 72 hours. However, the clinical efficacy of LB appears mixed. This systematic review seeks to evaluate the effectiveness of liposomal bupivacaine in improving postoperative outcomes compared to ropivacaine (ROPI), another commonly used long-acting analgesic. Materials and Methods: Prospective and randomized controlled trials (RCTs) evaluating the efficacy of LB compared to ROPI were selected for review. Primary outcomes included hospital length of stay (LOS) and postoperative opioid consumption measured in oral morphine equivalents (OME). Secondary outcomes included analgesic cost. Results: 14 studies met the review criteria. We found that LB and ROPI are equivalent in managing postoperative pain. 8 of the 14 trials reported equal efficacy between LB and ROPI as determined by OME post-procedure and 10 of the 14 trials reported similar LOS after surgery. These findings remained consistent across multiple surgical procedures and multiple drug administrative modalities. Conclusion: Our systematic review found that LB was not superior to ROPI in reducing postoperative OME use and hospital LOS. The only consistent finding was the significantly increased cost of LB compared to that of ROPI. Therefore, the use of LB over ROPI cannot be justified

catena-Poly[cobalt(II)-bis­(μ-3,7-dichloro­quinoline-8-carboxyl­ato-κ3 N,O:O′)]

In the crystal structure of the title compound, [Co(C10H4Cl2NO2)2]n, the CoII cation lies on a twofold rotation axis. Each cation is N,O-chelated by the carboxyl­ate anions of two 3,7-dichloro­quinoline-8-carboxyl­ate ligands. The second carboxyl­ate O atom of each ligand coordinates to the CoII cation of an adjacent mol­ecule, linking the cations into a linear chain. Strong inter­chain π–π stacking inter­actions are observed in the crystal structure (perpendicular distance 3.42 Å, centroid-to-centroid distance 3.874 Å

Identifying central symptom clusters and correlates among post-COVID-19 pulmonary fibrosis patients: a network analysis

BackgroundPrevious studies have analyzed symptom clusters in patients with coronavirus disease 2019 (COVID-19); however, evidence regarding the core symptom clusters and their influencing factors in patients with post-COVID-19 pulmonary fibrosis (PCPF) remains unclear, affecting the precision of symptom interventions.ObjectivesThis study aimed to identify the symptom clusters and core symptom clusters in patients with PCPF. Demographic and disease-related factors associated with these symptom clusters were also analyzed.MethodsA total of 350 patients with PCPF were recruited from China between January 2023 and April 2024. A self-reported symptom assessment scale was used for this survey. Principal component analysis was used to identify symptom clusters. Network analysis was used to describe the relationships between the symptoms and symptom clusters. Multiple linear models were used to analyze the factors affecting the total symptom severity and each symptom cluster.ResultsSix symptom clusters were identified: Upper Respiratory Tract Symptom Cluster (USC), Lower Respiratory Tract Symptom Cluster (LSC), Somatic Symptom Cluster (SSC), Muscular and Joint Symptom Cluster (MSC), Neurological and Psychological Symptom Cluster (NSC), and Digestive Symptom Cluster (DSC). Fatigue was identified as the core and bridge symptom in the symptom network, whereas the upper respiratory symptom cluster was identified as the core and bridge symptom cluster. Gender, age, educational level, smoking history, and primary caregiver were associated with the scores of the six symptom clusters.ConclusionOur study suggests that there is a need to evaluate symptom clusters for the improvement of symptom management among PCPF. Specifically, the assessment and treatment of upper respiratory and fatigue symptoms as core targets of PCPF care is critical for the development of accurate and efficient symptom management strategies

African Linguistics in Central and Eastern Europe, and in the Nordic Countries

Non peer reviewe

A Strip Adjustment Method of UAV-Borne LiDAR Point Cloud Based on DEM Features for Mountainous Area

Due to the trajectory error of the low-precision position and orientation system (POS) used in unmanned aerial laser scanning (ULS), discrepancies usually exist between adjacent LiDAR (Light Detection and Ranging) strips. Strip adjustment is an effective way to eliminate these discrepancies. However, it is difficult to apply existing strip adjustment methods in mountainous areas with few artificial objects. Thus, digital elevation model-iterative closest point (DEM-ICP), a pair-wise registration method that takes topography features into account, is proposed in this paper. First, DEM-ICP filters the point clouds to remove the non-ground points. Second, the ground points are interpolated to generate continuous DEMs. Finally, a point-to-plane ICP algorithm is performed to register the adjacent DEMs with the overlapping area. A graph-based optimization is utilized following DEM-ICP to estimate the correction parameters and achieve global consistency between all strips. Experiments were carried out using eight strips collected by ULS in mountainous areas to evaluate the proposed method. The average root-mean-square error (RMSE) of all data was less than 0.4 m after the proposed strip adjustment, which was only 0.015 m higher than the result of manual registration (ground truth). In addition, the plane fitting accuracy of lateral point clouds was improved 4.2-fold, from 1.565 to 0.375 m, demonstrating the robustness and accuracy of the proposed method.</jats:p

Crucial Role of Endogenous Interleukin-10 Production in Myocardial Ischemia/Reperfusion Injury

Background —The anti-inflammatory cytokine interleukin-10 (IL-10) has been detected in the plasma of patients with myocardial ischemia/reperfusion. The aim of our study was to investigate the role of endogenously produced IL-10 in myocardial ischemia/reperfusion. Methods and Results —In the present study, we used wild-type and IL-10–deficient mice subjected to myocardial ischemia/reperfusion. Significant levels of IL-10 were produced in wild-type mice at 2 to 6 hours after myocardial reperfusion. The genetic deletion of IL-10 enhanced neutrophil infiltration into the reperfused tissues at 6 hours after reperfusion and increased infarct size and myocardial necrosis. Furthermore, in the absence of IL-10, an enhancement of the inflammatory response was seen, as demonstrated by increased plasma levels of tumor necrosis factor-α, nitrite/nitrate (breakdown products of NO), and increased tissue expression of intercellular adhesion molecule-1. Reperfusion for 24 hours was associated with a 75% mortality rate in IL-10–deficient mice, whereas no deaths occurred in the wild-type animals. Conclusions —The present findings provide the first direct evidence that endogenous IL-10 inhibits the production of tumor necrosis factor-α and NO and serves to protect the ischemic and reperfused myocardium through the suppression of neutrophil recruitment. </jats:p