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Time series analysis is essential for finance, transportation, energy, healthcare, and climate research. While time-frequency domain representation underpins effective time series modeling, its holistic utilization and i...

Abstract In this paper, we present novel characterizations of weights for dynamic Hardy-type inequalities on time scales. In the continuous case, our findings correspond to the classical discrete inequalities established...

BackgroundPharmaceutical services play a critical role in safeguarding medication safety and optimizing therapeutic outcomes. Their value is increasingly recognized in China, where recent policy reforms have introduced n...

Abstract We demonstrate coherent orbital angular momentum (OAM) generation from chaotic phase screens with discrete integer-valued azimuthal bias. Through Fourier analysis, we prove that coherent OAM amplitude is nonzero...

Discretization of continuous models can do more than approximate their dynamics; it can fundamentally transform their dynamical behavior, such as the complex dynamical behavior that translates the system to a chaotic sta...

Abstract Single-image dehazing is essential for safety-critical vision systems, yet existing CNN-based methods are often too heavy for edge devices or fail to adapt to spatially varying haze density. This paper introduce...

The functioning of an industria l enterprise of discrete production is considered as a set of interconnected production аnd design processes and managing them. Computer modeling of processes is used to review options fo...

Formaldehyde (HCHO) is a ubiquitous atmospheric constituent, originating from primary emissions (natural and anthropogenic) and secondary production via the oxidation of volatile organic compounds (VOCs). In addition to ...

Abstract Objectives The EQ-5D-Y instrument is currently used to assess health-related quality of life of health states experienced by young populations. However, a country-specific EQ-5D-Y value set for Hong Kong (HK) is...

The main objectives of the study are to develop a new adaptive geometric method for real-time monitoring of industrial electricity consumption schedules to ensure timely detection of structural imbalances and minimizatio...

Abstract Semi-autogenous grinding (SAG) mill performance prediction remains limited by empirical calibration requirements in conventional population balance models. This study presents a structured dynamic framework inte...

Abstract Synchronous reluctance motors (SynRMs) are increasingly critical in industrial and traction applications due to their high efficiency, magnet-free construction, and thermal robustness. However, fault diagnosis f...

"Left Bundle Branch Block (LBBB) diagnosis is crucial for patient stratification and the selection of individuals who are likely to respond to Cardiac Resynchronization Therapy (CRT). The pathophysiological distinction b...

Efficient UAV path planning in large and dynamic environments requires adaptive strategies that account for varying regional importance. Traditional coverage or Reinforcement Learning-based methods often suffer from redu...

Abstract In Sweden, as in most Western countries, language proficiency is widely recognized as a key component of immigrant integration, supported by initiatives such as the publicly funded language program known as Swed...

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...

BackgroundLast-mile logistics accounts for approximately 28% of total logistics costs and is a major contributor to urban carbon emissions. The integration of drones with electric trucks offers a path toward more efficie...

Investigations into the collection of seafloor massive sulfides have had a relatively late start, with few related achievements. Moreover, most existing studies have focused on the collection of spherical particles. Ther...

Abstract Background Neuromuscular electrical stimulation (NMES) delivered transcutaneously activates skeletal muscle; its effectiveness is determined by stimulation parameters and by how skin-applied currents recruit und...

Abstract Introduction Invasive meningococcal disease (IMD) caused by meningococcal serogroup B (MenB) is a rare but serious illness with potentially life-threatening outcomes, particularly in infants. In Brazil, IMD is ...

Large deviation theory provides a framework to understand macroscopic fluctuations and collective phenomena in many-body nonequilibrium systems in terms of microscopic dynamics. In these lecture notes we discuss the larg...

Recent advances in protein structure prediction, such as AlphaFold, have demonstrated the power of deep neural architectures like the Evoformer for capturing complex spatial and evolutionary constraints on protein confor...

Due to the issues of low throughput and low time synchronization accuracy when traditional power timing terminals transmit communication data, a power timing terminal for novel power system communication network security...

Quantum systems with strong long-range interactions are thought to robustly resist thermalization because their energy spectra organize into a discrete number of multiplets. We show that this nonthermal behavior is surpr...