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Background: Noise-induced hearing loss (NIHL) results from prolonged or intense exposure to loud sounds, causing permanent auditory damage often accompanied by tinnitus, reduced hearing sensitivity and difficulty unders...

Stellar population measurements in integral field unit surveys are often limited by low signal-to-noise ratios (S/Ns) in low-surface-brightness spaxels. Using controlled synthetic experiments, we investigate whether a de...

Radiography or X-ray imaging is a diagnostic imaging used in medicine to produce images of inner anatomical structures such as bones, teeth, lungs, and chest organs. Impulse noise is one of the major factors that degrade...

Abstract The shift from internal combustion engines to electric powertrains has redefined the noise, vibration, and harshness (NVH) profile of contemporary vehicles. The reduction of engine-generated broadband noise has ...

Abstract Background and objectives The present study aimed to develop a training module for adults to improve speech-in-noise (SPIN) ability and to derive normative scores for this program in adults. Subjects and methods...

BackgroundCo-exposure to noise and microwave radiation occurs frequently. The central nervous system has been identified as a sensitive target organ for both noise and microwave exposure individually, and the underlying ...

We consider transport through a multilevel interacting quantum dot (N-QD) in the Kondo regime. Using the Kotliar–Ruckentein slave boson approach (SBMFA) for an N-level Anderson model, we define effectively noninteracti...

Electrochemical potential noise signals from LiFePO4 batteries often contain a slowly varying trend component that overlaps with and distorts the intrinsic low-frequency electrochemical noise. This component must therefo...

Stern-Gerlach interferometer (SGI) is a kind of matter-wave interferometer driven by magnetic field and has been proposed for various gravity experiments. Stochastic noises can lead to decoherence problems of SGI via var...

Abstract Quantum Machine Learning (QML) is emerging as a promising technology for tackling complex computational challenges, although its practical implementation faces significant obstacles owed to the inherent noise in...

This study proposes a customized sidelink synchronization signal block (SSB) and corresponding reception designs tailored for 60 GHz wireless personal area network (WPAN) systems. To enable high-data-rate transmissions a...

Abstract Wireless bioelectronics demand transduction strategies that are simultaneously sensitive, noise-resilient, and biologically safe. Conventional wireless sensors typically rely on dielectric capacitors with inhere...

Abstract Cis-acting regulatory enhancer elements are powerful tools for achieving cell type-specific genetic access in adeno-associated virus (AAV) delivery platforms. However, a significant bottleneck in enhancer discov...

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 Free Space Optical (FSO) Communication, as a novel communication method, has advantages in terms of interference resistance and confidentiality compared to radio frequency (RF) technology. Since the spectrum of ...

Abstract This paper proposes a corridor-based drone–carrier framework for last-mile urban delivery that explicitly minimizes environmental impact while improving logistics efficiency. Starting from a central warehouse,...

Optical two-dimensional electronic spectroscopy (2DES) is a powerful ultrafast spectroscopic technique that can greatly benefit from the unique features of a femtosecond laser operating at a kHz repetition rate. Lock-in ...

Abstract We present a continuous-variable (CV), quantum-key-distribution (QKD)—inspired, keyed physical-layer masking method for classical M-level pulse-amplitude-modulation (M-PAM) links. A transmitter adds a per-symb...

Abstract The current work on emotion recognition considering EEG signals has attracted significant attention due to its advantages in fields like mental health, neural computing, and human-computer interaction. Nonethele...

Lensing of gravitational waves (GWs) due to intervening massive astrophysical systems between the source and the observer is an inevitable consequence of the general theory of relativity, which can produce multiple GW ev...

Accurate deformation forecasting is essential for concrete dam safety monitoring, yet real-world deformation series are often nonlinear, nonstationary, and contaminated by noise, missing values, and outliers, which limit...

Abstract Lung cancer remains the primary cause of cancer-related deaths throughout the world. The main reason behind this is late diagnosis and the restrictions in the manual interpretation of imaging data. In these days...

Introduction. Reliable and accurate state estimation plays a central role in mobile robotics, ensuring effective localization, navigation, and control in uncertain and dynamic environments. Traditional estimation methods...

INTRODUCTION: Accurate power quality disturbances (PQDs) classification is critical for maintaining grid stability and reliability in modern power systems. However, existing deep learning methods predominantly rely on si...