This study aims to contribute to an analysis of the well-being of military personnel who are deployed on humanitarian aid missions, taking their work-family (personal life) boundary management into consideration by analyzing the relationship between their preferences and enacted boundaries and military personnel' well-being. Specifically, this study analyzed the boundary fit approach, positing that it is the adjustment between individuals' preferences and enacted boundaries that influences their well-being. Using a sample of 327 military personnel, boundary management profiles were performed, considering the fit between their segmentation preferences and enactment. Furthermore, the relationship between these profiles and the military personnel' well-being was established. The results indicated that misfit profiles were found where the soldiers enacted less segmentation than desired or, on the contrary, more integration than desired, and a profile with a fit between the work-family segmentation they desired and enacted. The military personnel in the fit profile had significantly higher levels of well-being (i.e.,less exhaustion and more work engagement) than those in the misfit profile, who enacted less segmentation than desired. The findings have implications for the design of boundary management literature and future military missions.
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http://dx.doi.org/10.1080/08995605.2023.2195793 | DOI Listing |
BMC Oral Health
January 2025
Department of Orthodontics, Case Western Reserve University School of Dental Medicine, Cleveland, OH, 44106, USA.
Background: The aim of this study was to evaluate the correlation of the volume and minimum axial area (MAA) measurements between different upper and lower boundaries used for oropharyngeal airway assessment.
Methods: Cone Beam Computed Tomography (CBCT) scans of 49 subjects taken for pre-orthognathic surgical planning were obtained retrospectively from the archives (n = 49; 32 females, 17 males; mean age = 20.9 ± 5.
J Environ Manage
January 2025
College of Water Sciences, Beijing Normal University, Beijing, 100875, China.
Identifying landscape patterns conducive to pollutant transport control is of vitally importance for water quality protection. However, it remains unclear which landscape patterns can weaken the transport capacity of pollutants entering water bodies. To fill this gap, this study proposes a new framework.
View Article and Find Full Text PDFNat Commun
January 2025
Institute of Artificial Intelligence for Meteorology, Chinese Academy of Meteorological Sciences, Beijing, China.
Skillful seasonal climate prediction is critical for food and water security over the world's heavily populated regions, such as in continental East Asia. Current models, however, face significant difficulties in predicting the summer mean rainfall anomaly over continental East Asia, and forecasting rainfall spatiotemporal evolution presents an even greater challenge. Here, we benefit from integrating the spatiotemporal evolution of rainfall to identify the most crucial patterns intrinsic to continental East-Asian rainfall anomalies.
View Article and Find Full Text PDFPLoS One
January 2025
School of Physical Education, Jinjiang College, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
In athletes' competitions and daily training, in order to further strengthen the athletes' sports level, it is usually necessary to analyze the athletes' sports actions at a specific moment, in which it is especially important to quickly and accurately identify the categories and positions of the athletes, sports equipment, field boundaries and other targets in the sports scene. However, the existing detection methods failed to achieve better detection results, and the analysis found that the reasons for this phenomenon mainly lie in the loss of temporal information, multi-targeting, target overlap, and coupling of regression and classification tasks, which makes it more difficult for these network models to adapt to the detection task in this scenario. Based on this, we propose for the first time a supervised object detection method for scenarios in the field of motion management.
View Article and Find Full Text PDFSci Rep
January 2025
Key Laboratory of Songliao Aquatic Environment, Ministry of Education, Jilin Jianzhu University, No.5088 Xincheng Road, Changchun, 130118, Jilin Province, China.
NH is the most important alkaline gas in the atmosphere and functions as a precursor to secondary ammonium salts. Therefore, identifying its sources and quantifying its emissions is imperative. NH represents a principal component of atmospheric particulate pollutants.
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