Ratio of remnant cholesterol to high-density lipoprotein cholesterol in relation to gestational diabetes mellitus risk in early pregnancy among Korean women. by Jing Sheng, Chun-Fang Ma, Xiao-Fei Wu, Xiang-Xiang Li

“…RC was calculated as total cholesterol (TC) minus the sum of low-density lipoprotein cholesterol (LDL-C) and HDL-C. …”
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Assessing the Impact of Binary Systems on Microlensing Using SPISEA and PopSyCLE Population Simulations by Natasha S. Abrams, Jessica R. Lu, Casey Y. Lam, Michael S. Medford, Matthew W. Hosek Jr., Sam Rose

“…The Einstein crossing time distribution of single and single-peaked multiple events is better aligned with observed distributions from OGLE than singles alone, indicating that multiple systems are a significant missing piece between simulations and reality.…”
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Spatiotemporal Impacts of Urban Structure and Socioeconomic Factors on Carbon Dioxide Emissions: A Case Study of the Yangtze River Delta Urban Agglomeration by Zhechen Zhou, Su Xu, Jun Wang, Haitao Shen

“…However, there has been little comprehensive research that considers the incidental truncation of missing CO2 emission data in underdeveloped cities. …”
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CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People by Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee

“…Such a comprehensive device was a missing link in the existing literature. The application uses MobileNet architecture due to its low computational complexity to run on low-power end devices. …”
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Validity of serum autotaxin and Doppler ultrasound as noninvasive markers of esophageal varices in patients with liver cirrhosis by Doaa El Wazzan, Ayman F. El-Shayeb, Soraya Hamouda, Mohamed El Shafei, Akram A. Degheidy, Basma Salem, Mohamed Adel

“…Abstract Background Identification of noninvasive predictors of esophageal varices will permit to carry out endoscopy in selected groups of patients, thus avoiding unnecessary intervention as well as not missing patients at high risk of bleeding. The aim of this study was to investigate the accuracy of serum autotaxin and Doppler ultrasound parameters as noninvasive predictors in determining the presence and severity of esophageal varices in patients with liver cirrhosis. …”
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Progresses in Fluid Inclusion Synthesis in Quartz by Jun Du, Honglun Chang, Hongwei Liu

“…Such great many progresses of the quartz FIS techniques have been scattered in the geochemists’ individual research work, and systematic collection and objective evaluation are missing. Consequently, we synthesize existing research, describe and identify the basic operations, discuss the methodological issues like pros and cons, and highlight the problems and prospects of the quartz FIS techniques. …”
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Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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Improving vaccination uptake in pediatric Cochlear implant recipients by Lisa Jin, Paula Téllez, Ruth Chia, Daphne Lu, Neil K. Chadha, Julie Pauwels, Simon Dobson, Hazim Al Eid, Frederick K. Kozak

“…Pneumovax-23, a vaccine for high-risk patients (such as cochlear implant candidates) was missed in all cases. Conclusion Pre-operative vaccination for cochlear implant recipients improved dramatically with the addition of a vaccine specialist. …”
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A Fusion Method Incorporating Dual-Attention Mechanism and Transfer Learning Into UNet++ for Remote Sensing Image Coastline Extraction by Yanru Song, Bai Xue, Yueyue Meng, Xiang Qin, Yixiao Li, Qi Liu

“…Experimental results using the GID dataset for coastline segmentation demonstrate that compared to the latest algorithms such as PSPNet, CS-Deeplab v3+, and UNet++, the improved UNet++ network achieves lower boundary blurriness and more accurate segmentation results for coastlines, with fewer missed and false detections. Amidst the proliferation of high-spatial resolution remote sensing image data, the utilization of the enhanced UNet++ model for coastline extraction has demonstrated remarkable abilities in preserving boundary information and achieving superior semantic segmentation performance. …”
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Tools for assessing risk of reporting biases in studies and syntheses of studies: a systematic review by Julian P T Higgins, Joanne E McKenzie, Matthew J Page

“…However, assessing the corresponding risk of bias in a synthesis that is missing the non-reported outcomes is outside the scope of most of these tools. …”
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A Fine-Grained Aircraft Target Recognition Algorithm for Remote Sensing Images Based on YOLOV8 by Xiao-Nan Jiang, Xiang-Qian Niu, Fan-Lu Wu, Yao Fu, He Bao, Yan-Chao Fan, Yu Zhang, Jun-Yan Pei

“…This article addresses the issues of missed and false detections in existing aircraft target fine-grained recognition algorithms for remote sensing images by proposing an improved algorithm based on YOLOv8, called FD-YOLOv8 (Focus Detail-YOLOv8). …”
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Influence of the metabolic control in patients with type 1 diabetes on their oral health status and the need for orthodontic treatment in a group of Spanish children (aged 6–12 yea... by Adrián Curto, Cristina Gómez-Polo, Daniel Curto, Marta Muñoz-Bruguier, Mari Cruz Lorenzo-Luengo, Javier Montero

“…Oral health status was assessed using the Decayed, Missing, and Filled Teeth index for permanent teeth (DMF-T) and the need for orthodontic treatment using the Dental Health Component of the Index of Orthodontic Treatment Need (DHC-IOTN). …”
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Multiscale wildfire and smoke detection in complex drone forest environments based on YOLOv8 by Wenyu Zhu, Shanwei Niu, Jixiang Yue, Yangli Zhou

“…Additionally, in order to address the risk of false positives and missed detections caused by vegetation, terrain, and lighting changes in forests, we have introduced the AgentAttention module in the Backbone. …”
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Causes of visiting mixed dentition children dental clinic (a retrospective study). by Heran Ibrahim, Rwa Al‐Qazzaz, Mahmoud Kanan

“…The reasons for their visit were divided into the following five groups: general checkup, esthetic reasons, pain, missing/multiple teeth and emergency visit. While the type of the treatment delivered was divided into: Preventive treatment, conservative treatment, pulp therapy and surgical treatment. …”
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Response of Pedunculate Oak (<i>Quercus robur</i> L.) to Adverse Environmental Conditions in Genetic and Dendrochronological Studies by Konstantin V. Krutovsky, Anna A. Popova, Igor A. Yakovlev, Yulai A. Yanbaev, Sergey M. Matveev

“…However, although more than 270 published works have been cited in this review, we have, of course, missed some published studies. We apologize in advance to authors of those relevant works that have not been cited.…”
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‘Why is it that a photograph always looks clear and sharp, — not at all like a Turner?’ John Ruskin &amp; Perceptual Aberration by Lawrence Gasquet

“…Photography either exaggerates shadows, or loses detail in the lights . . . and misses certain of the utmost subtleties of natural effect (which are often the things that Turner has chiefly aimed at,) while it renders subtleties of form which no human hand could achieve’. …”
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BioFire FilmArray Blood Culture Identification (BCID) Panel and Clinical Usefulness: A Systematic Review by Niti Gor, Devesh Joshi

“…However, there is a risk of missing organisms not covered by the panel, emphasizing the need for increased awareness among physicians regarding the panel's limitations. …”
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Rehabilitation outcomes after comprehensive post-acute inpatient rehabilitation following moderate to severe acquired brain injury—study protocol for an overall prognosis study bas... by Uwe M. Pommerich, Peter W. Stubbs, Jørgen Feldbæk Nielsen

“…Descriptive statistics will be used to estimate average prognoses for the level of functioning at discharge from post-acute rehabilitation. The patterns of missing data will be investigated. Discussion This protocol is intended to provide transparency in our upcoming study based on routinely collected clinical data. …”
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Towards personalized cardiometabolic risk prediction: A fusion of exposome and AI by Zeinab Shahbazi, Slawomir Nowaczyk

“…Furthermore, data preprocessing involved normalization and handling of missing values to enhance model accuracy. The model's decision-making process were using an advanced explainability method. …”
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Prevalence of Dental Fear and Its Association with Oral Health Status Among School Children in Bosnia and Herzegovina: A Cross-Sectional Study by Jelena Eric, Bojana Davidovic, Rasa Mladenovic, Marko Milosavljevic, Ivana Dmitruk Miljevic, Ljiljana Bjelovic, Svjetlana Jankovic, Olivera Dolic, Brankica Davidovic

“…Children with dental fear had a significantly greater number of decayed and missing teeth, higher DMFT scores, and poorer gingival health and oral hygiene compared to those without dental fear (<i>p</i> < 0.01), even after adjusting for sociodemographic factors. …”
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