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Analyzing Antineutrophil Cytoplasmic Antibody Associated Conditions in a Large, Random Sample of Patients: A Comparison of Enzyme-Linked Immunosorbent Assay and Indirect Immunofluo...
Published 2025-08-01“…Aim: The aim of this study was to examine the prevalence of antineutrophil cytoplasmic antibodies (ANCA) in a diverse group of Turkish patients admitted to a tertiary care hospital, their clinical characteristics, and ANCA test results.Material and Methods: This retrospective study analyzed 10,726 serum samples tested for ANCA over 4.5 years. …”
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Sequential versus massively parallel strategies for molecular characterization of non-small cell lung cancer samples obtained by endobronchial ultrasound-guided transbronchial need...
Published 2025-08-01“…Methods: A retrospective analysis was conducted on NSCLC patients who underwent EBUS-TBNA and molecular characterization between January 2020 and December 2023. …”
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Patient characteristics and adverse effects of allogeneic blood transfusion following lower extremity joint replacement in rheumatoid arthritis: a nationwide inpatient sample datab...
Published 2025-08-01“…Despite the potential for adverse outcomes associated with blood transfusion, the risks related to this procedure in RA patients remain underexplored, particularly within the framework of a large-scale national dataset. Methods This study analyzed data from the National Inpatient Sample (NIS) database from 2010 to 2019, identifying 66,674 patients diagnosed with RA who underwent LEJR. …”
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Incidence and risk factor of blood transfusion after abdominal radical hysterectomy for cervical cancer: a 10-year retrospective study of the US nationwide inpatient sample
Published 2024-11-01“…Independent risk factors for blood transfusion during abdominal radical hysterectomy remains limited, and identifying these factors is needed. Methods A retrospective analysis of data was performed using the Nationwide Inpatient Sample (NIS), focusing on patients who underwent abdominal radical hysterectomy between 2010 and 2019. …”
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Characterizing Performance on a Suite of English-Language NeuroUX Mobile Cognitive Tests in a US Adult Sample: Ecological Momentary Cognitive Testing Study
Published 2024-11-01“…Older age—but not other demographics—was associated with finding the tests more challenging. ConclusionsIn a sample of adults across a wide age range, this study characterized features that are particularly important for the interpretation of remote, repeated mobile cognitive testing performance, including test-retest reliability, practice effects, smartphone type, and test-taking context. …”
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Determination of Organochlorine Pesticides in Green Leafy Vegetable Samples via Fe3O4 Magnetic Nanoparticles Modified QuEChERS Integrated to Dispersive Liquid-Liquid Microextractio...
Published 2021-01-01“…The recoveries of the proposed method ranged from 78.6% to 107.7%, and the relative standard deviations were not more than 7.5%. …”
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A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk—part 1: binary outcomes
Published 2025-07-01“…Methods We propose a decomposition of Fisher’s information matrix to help examine sample sizes required for developing or updating a model, aiming for precise and fair individual-level risk estimates. …”
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University Instructors' Perceptions of Higher Education: Psychosemantic Approach
Published 2022-09-01“…The research is a pilot study, the findings are preliminary and will be tested on larger samples. Group semantic spaces for both categories of respondents were constructed by the method of semantic differential using factor analysis. (1) In both categories, there is a factor that reflects the most attractive qualities of higher education, but the set of these qualities is different. …”
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Parents’ Educational Background and Child’s Learned Skills Are More Predictive for a Positive School Career than Earlier Parenting Behavior or Child’s Mental Health—Results from an...
Published 2025-04-01“…Until now, there have been few longitudinal studies which considered several aspects at the same time and observed children’s development over ten or more years. <b>Methods</b>: The aim of this 18-year-longitudinal study is to find out to which degree different child, family, and socioeconomic factors during early childhood (4 years of age) are associated with educational and professional outcomes in young adulthood (22 years of age). …”
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Acute Postexercise Change in Circulating Irisin Is Related to More Favorable Lipid Profile in Pregnant Women Attending a Structured Exercise Program and to Less Favorable Lipid Pro...
Published 2019-01-01“…We aimed to determine acute responses in serum irisin after a single exercise session and relationships between exercise-induced changes in this hormone and lipid profile in pregnancy. Material and Methods. It was an experimental study in 20 Caucasian women in normal pregnancy (age 30±3 years, 28±6 weeks of gestation; mean±SD). …”
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Statistical Prediction Based on Ordered Ranked Set Sampling Using Type-II Censored Data from the Rayleigh Distribution under Progressive-Stress Accelerated Life Tests
Published 2023-01-01“…The objective of ranked set sampling is to gather observations from a population that is more likely to cover the population’s full range of values. …”
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Abnormal noise detection of electric machines based on HPSS-CIS and CNN-CBAM
Published 2025-01-01“…Afterward for feature extraction, the results of ablation experiments with HPSS-CIS show that the average accuracy of this method is more than 4.5% higher than that of any single component. …”
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ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform
Published 2018-03-01“…The novelty of ZenLDA consists of three main aspects: (1) it converts the commonly used serial Collapsed Gibbs Sampling (CGS) inference algorithm to a Monte-Carlo Collapsed Bayesian (MCCB) estimation method, which is embarrassingly parallel; (2) it decomposes the LDA inference formula into parts that can be sampled more efficiently to reduce computation complexity; (3) it proposes a distributed LDA training framework, which represents the corpus as a directed graph with the parameters annotated as corresponding vertices and implements ZenLDA and other well-known inference methods based on Spark. …”
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Path Planning of Quadrupedal Robot Based on Improved RRT-Connect Algorithm
Published 2025-04-01“…In view of the large randomness, redundant path nodes, and low search efficiency of RRT-connect in a complex obstacle environment, this study intends to develop a path-planning method combining RRT-connect and Informed RRT*. First, to solve the problem of large sampling randomness, the Informed RRT* algorithm is combined to adopt a simpler rectangle and limit the sampling range to the rectangle. …”
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Multi-scale convolutional neural networks (CNNs) for landslide inventory mapping from remote sensing imagery and landslide susceptibility mapping (LSM)
Published 2024-12-01“…Experimental results demonstrate that this method achieves the highest accuracy and area under the receiver operating characteristic (ROC) curve. …”
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