AI Article Synopsis
- The paper analyzes the personality traits of pilot-cadets and how these traits affect their performance in flying courses.
- It employs discrimination analysis to explore the relationship between personality and flight training success.
- The study offers a statistically optimal criterion for predicting the effectiveness of flight training based on these personality characteristics.
Article Abstract
The paper gives assessment of personality characteristics of pilot-cadets and discusses their influence on the marks in flying disciplines. The study uses a discrimination analysis and presents a statistically optimal generalized criterion that can be applied to quantitative prediction of the success of flight training.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study.
J Med Internet Res
January 2025
Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Background: Gastrointestinal bleeding (GIB) is a severe and potentially life-threatening complication in patients with acute myocardial infarction (AMI), significantly affecting prognosis during hospitalization. Early identification of high-risk patients is essential to reduce complications, improve outcomes, and guide clinical decision-making.
Objective: This study aimed to develop and validate a machine learning (ML)-based model for predicting in-hospital GIB in patients with AMI, identify key risk factors, and evaluate the clinical applicability of the model for risk stratification and decision support.
Analysis of the characteristics and illness comprehension bias among Chinese patients with psycho-cardiovascular disease: a multi-centre cross-sectional survey.
J Glob Health
January 2025
Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Background: Psychological distress, such as depression and anxiety, impacts cardiovascular disease (CVD) prognosis and management. Illness comprehension is essential for effective treatment, but biases can lead to suboptimal outcomes. We explored psycho-cardiovascular disease (PCD) patient characteristics, with a specific focus on comprehension biases and treatment choices from patients' perspectives in China, to improve management strategies.
View Article and Find Full Text PDFPredicting the risk of bone metastases in patients with newly diagnosed prostate cancer - Development and validation of a nomogram model.
PLoS One
January 2025
Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, Jiangsu, PR. China.
Objectives: The aim of this study was to develop and validate a nomogram model that predicts the risk of bone metastasis (BM) in a prostate cancer (PCa) population.
Methods: We retrospectively collected and analyzed the clinical data of patients with pathologic diagnosis of PCa from January 1, 2013 to December 31, 2022 in two hospitals in Yangzhou, China. Patients from the Affiliated Hospital of Yangzhou University were divided into a training set and patients from the Affiliated Clinical College of Traditional Chinese Medicine of Yangzhou University were divided into a validation set.
Possible influence of sex on the relationship between dual-task gait costs and cognitive decline in older adults.
PLoS One
January 2025
Institute of Physiotherapy, FH Joanneum University of Applied Sciences, Graz, Austria.
The impact of cognitive decline in older adults can be evaluated with dual-task gait (DTG) testing in which a cognitive task is performed during walking, leading to increased costs of gait. Previous research demonstrated that higher DTG costs correlate with increasing cognitive deficits and with age. The present study was conducted to explore whether the relationship between the DTG costs and cognitive abilities in older individuals is influenced by sex differences.
View Article and Find Full Text PDFA novel classification method for balance differences in elite versus expert athletes based on composite multiscale complexity index and ranking forests.
PLoS One
January 2025
School of Exercise and Health, Shenyang Sport University, Shenyang, China.
Balance is crucial for various athletic tasks, and accurately assessing balance ability among elite athletes using simple and accessible measurement methods is a significant challenge in sports science. A common approach to balance assessment involves recording center of pressure (CoP) displacements using force platforms, with various indicators proposed to distinguish subtle balance differences. However, these indicators have not reached a consensus, and it remains unclear whether these analyses alone can fully explain the complex interactions of postural control.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!