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Rogue waves in fluid dynamics and optical waveguides are unexpectedly large displacements from a background state, and occur in the nonlinear Schrödinger equation with positive linear dispersion in the regime of positive cubic nonlinearity. Rogue waves of a derivative nonlinear Schrödinger equation are calculated in this work as a long-wave limit of a breather (a pulsating mode), and can occur in the regime of negative cubic nonlinearity if a sufficiently strong self-steepening nonlinearity is also present. This critical magnitude is shown to be precisely the threshold for the onset of modulation instabilities of the background plane wave, providing a strong piece of evidence regarding the connection between a rogue wave and modulation instability. The maximum amplitude of the rogue wave is three times that of the background plane wave, a result identical to that of the Peregrine breather in the classical nonlinear Schrödinger equation model. This amplification ratio and the resulting spectral broadening arising from modulation instability correlate with recent experimental results of water waves. Numerical simulations in the regime of marginal stability are described.
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http://dx.doi.org/10.1103/PhysRevE.89.032914 | DOI Listing |
Forensic Sci Int Synerg
June 2025
Department of Anthropology and Middle Eastern Cultures Mississippi State University, 340 Lee Blvd., Starkville, MS, 39762, USA.
Chaos theory, initially developed by Edward Lorenz, a mathematician and meteorologist at the Massachusetts Institute of Technology, has evolved from a theory of the natural and physical sciences to a theory that has broad, interdisciplinary applications. Fundamentally, chaos theory connects various scientific disciplines by explaining how seemingly random behaviors that happen in non-linear or "chaotic" systems, no matter how minor, can lead to major consequences. While forensic anthropology is often considered an a-theoretical subfield of anthropology, the discipline has witnessed a proliferation of theoretical publications in recent years.
View Article and Find Full Text PDFInt J Gen Med
September 2025
Department of Gynecology, Zhongshan Hospital, Fudan University, Shanghai, 200035, People's Republic of China.
Objective: This study aims to investigate the association between the dynamics of routine metabolic markers and endometriosis severity.
Methods: A retrospective analysis was conducted on patients diagnosed with endometriosis at Zhongshan Hospital, Xiamen, affiliated with Fudan University. The collected data encompassed demographic details and biochemical indicators related to lipid, hepatobiliary, renal metabolism, and electrolyte balance.
Front Rehabil Sci
August 2025
Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, United States.
Introduction: Spinal cord injury (SCI) presents a significant burden to patients, families, and the healthcare system. The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving patient care.
Methods: We conducted a retrospective analysis of 589 SCI patients admitted to a single acute rehabilitation facility and used the dataset to train advanced machine learning algorithms to predict patients' rehabilitation outcomes.
Front Public Health
September 2025
Department of Nephrology and Institute of Nephrology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Background: Chronic kidney disease (CKD), a global health challenge, is closely linked to renal fibrosis progression. Copper, an essential trace element, influences cellular functions, yet its role in CKD-related fibrosis remains unclear. This study explores the causal relationship between serum copper levels and renal fibrosis in CKD.
View Article and Find Full Text PDFEnviron Epidemiol
October 2025
School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.
Background: Seasonal variation in mortality results from a combination of environmental, biological, and social factors, with ambient temperature recognized as a key contributor. However, comprehensive assessments disentangling temperature effects from other seasonal influences across a broad range of mortality causes remain limited. This study aimed to quantify and compare the mortality burden attributable to ambient temperature and broader seasonal variation across major causes of death in Spain.
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