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Abstract In the present study, we examine how optical solitons behave in a synthetic nonlocal nonlinear medium. An analytical investigation is conducted into the nonlinear dynamical model that represents the propagation ...

Abstract In this study, a range of novel optical soliton solutions to the nonlinear conformable Schrödinger equation influenced by multiplicative white noise is presented. By employing the unified method, several types ...

Abstract This work investigates the impact of a generalized quadratic-cubic form of self-phase modulation together with nonlinear chromatic dispersion on perturbed quiescent optical solitons governed by the Fokas–Lenel...

Abstract The pressing demand for decarbonization within the context of economic development has generated substantial opportunities for the rapid growth of renewable energy. Consequently, further research is essential to...

Abstract Background Environmental studies often evaluate how exposures influence health outcomes through intermediate biological processes. In practice, researchers are often interested in complex exposure mixtures rathe...

Abstract Heart rate variability (HRV), regulated by the autonomic nervous system, is typically assessed using standard time-domain and frequency-domain methods to evaluate autonomic function. However, conventional linear...

Abstract Background Microhabitat heterogeneity plays a crucial role in shaping plant water use strategies and ecophysiological processes in arid ecosystems, yet little is known about the coupled response of leaf water is...

Abstract Ice shocks associated with the springtime thermal expansion of ice represent a manifestation of fracture processes in a complex nonlinear medium. In this study, we investigate temporal changes in statistical cha...

In roll-on/roll-off (RO-RO) ships, lashing devices are essential for securing vehicles. However, conventional installation processes significantly increase shipbuilding costs. To enhance production efficiency, this study...

Abstract Detecting epileptic seizures from electroencephalogram (EEG) signals presents a significant challenge due to the nonlinear and non-stationary nature of brain activity. In this study, we propose a hybrid classifi...

In environmental management, developing a scientific and methodological approach to the design and optimization of technological systems remains a pressing issue. The proposed approach is based on the integration of onto...

Abstract This study introduces two recently developed bio-inspired metaheuristic algorithms, Artificial Protozoa Optimizer (APO, 2024) and Dung Beetle Optimizer (DBO, 2023), into long short-term memory (LSTM) networks fo...

Urban wastewater treatment processes exhibit complex characteristics such as uncertainty, nonlinearity,and time delay, which pose significant challenges to water quality control and energy consumption optimization. To ad...

Vegetation optical depth (VOD), as a key parameter of vegetation, plays an important role in the process of vegetation growth and change. The spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) technolog...

Forest growth and yield projection is essential for sustainable forest management planning. In Brazil, the Clutter model is widely applied for yield forecasting and commonly achieves prediction errors below 10%. However,...

Forest ecosystems play a fundamental role in sustaining global water cycles and ecological security, and accurate modeling of their eco-hydrological processes is essential for forest management, watershed regulation, and...

Understanding how socioeconomic development modulates trait–environment linkages in the Anthropocene, particularly its mechanistic role in reshaping the relative importance of climate versus soil drivers, remains poorl...

Mathematics and computer science play a pivotal role in modern biology. Dynamical models based on differential equations are particularly adapted to describe dynamic behaviors of many biological processes. However, tradi...

Abstract Background Abrupt declines in vegetation productivity risk irreversible transitions. However, the magnitude of such declines (abruptness)—a key determinant ranging from nonlinear reversible transitions to nonl...