We study the interplay between three-dimensional (3D) fully correlated optical turbulence and nonlinearity in time and 3D space resolved long-wavelength infrared pulsed beam propagation. Here the average self-trapped beam waist exceeds the inner scale in contrast to near-infrared filaments, and we find that their nonlinear self-channeling remains robust even in the presence of strong turbulence. More surprisingly, our simulation results invite a conjecture that in regimes where diffraction and nonlinearity are roughly balanced, turbulence can result in a tighter localization of the nonlinear beam core.
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http://dx.doi.org/10.1364/OL.452045 | DOI Listing |
BMC Nurs
January 2025
School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100144, China.
Background: Self-neglect is a significant global public health issue, compromising the health, safety, and well-being of older adults. Despite extensive research on the prevalence and risk factors of self-neglect, the underlying psychosocial mechanisms remain underexplored. Social isolation and aging attitudes have been identified as important correlates of self-neglect; however, the precise interplay between these variables, particularly the mediating role of aging attitudes, has yet to be fully examined in the context of rural older adults.
View Article and Find Full Text PDFSci Rep
January 2025
Botany and Microbiology Department, Faculty of Science, Al-Azhar University, Cairo, 11884, Egypt.
Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality globally due to HCC late diagnosis and limited treatment options. MiRNAs (miRNAs) emerged as potential biomarkers for various diseases, including HCC. However, the value of miRNA-101 as a serum biomarker for HCV-induced HCC has not been fully investigated.
View Article and Find Full Text PDFBiochem Biophys Res Commun
December 2024
Laboratory of Exercise Biochemistry and Neuroendocrinology, Institute of Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, 305-8574, Japan; Division of Sport Neuroscience, Kokoro Division, Advanced Research Initiative for Human High Performance (ARIHHP), Institute of Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, 305-8574, Japan. Electronic address:
Exercise benefits the brain, particularly the learning and memory center-the dorsal hippocampus (dHPC)-and holds promise for therapeutic applications addressing age-related cognitive deficits. While moderate-to-vigorous-intensity exercise is commonly recommended for health benefits, our translational research proposes the effectiveness of very-light-intensity exercise in enhancing cognitive functions. However, the intensity-dependent characteristics of HPC activation have yet to be fully delineated; therefore, there is no evidence of whether such easily accessible exercises for people of all ages and most fitness levels can activate HPC neurons.
View Article and Find Full Text PDFInt Immunopharmacol
January 2025
Department of Transplantation Immunology, Institute of Translational Medicine, The First Hospital of Jilin University, Changchun, Jilin Province 130061, China. Electronic address:
Chronic hepatitis B virus (HBV) infection is a major risk factor for liver fibrosis, cirrhosis, and hepatocellular carcinoma (HCC). Despite advances in understanding HBV-related liver diseases, effective therapeutic strategies remain limited. Macrophage migration inhibitory factor (MIF) has been implicated in various inflammatory and fibrotic conditions, but its role in HBV-induced liver fibrosis has not been fully explored.
View Article and Find Full Text PDFSci Rep
January 2025
Harbin Medical University, Harbin, Heilongjiang Province, China.
Interstitial lung disease (ILD) is known to be a major complication of systemic sclerosis (SSc) and a leading cause of death in SSc patients. As the most common type of ILD, the pathogenesis of idiopathic pulmonary fibrosis (IPF) has not been fully elucidated. In this study, weighted correlation network analysis (WGCNA), protein‒protein interaction, Kaplan-Meier curve, univariate Cox analysis and machine learning methods were used on datasets from the Gene Expression Omnibus database.
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