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Objectives: The noise intensity emitted by transportation vehicles in the city of Hit was measured, and for all the city's neighborhoods at specific points (5) m away from the noise source and for a period of (2) minutes. The measurement was made using a sound level meter (Edos\Ds-102). The measurement points were determined using the GPS system to determine locations.Methodology: The research relied on the descriptive and analytical-deductive approach as well as field work.Results: The noise was measured at the specified points (5) times and the average for these points was taken, by calculating the reading rate for the roads and streets of the city of Hit and measuring the noise intensity resulting from the various means of transportation and traffic in these streets. It was found that the highest noise intensity rate was recorded in Al-Jisr Street and its value reached (82dB) in the morning period as it is one of the important commercial streets and witnesses traffic congestion. As for the lowest reading rate, it was recorded in (Hit Hospital) Street and its value reached (64dB) in the evening. It is noted that the noise intensity measured by means of transportation in the study area is higher than the global and local determinants.Conclusion: The highest noise intensity rate was recorded in Al-Jisr Street and its value reached (82.4 dB) in the morning period as it is one of the important commercial streets that witnesses traffic congestion in the morning period, followed by Al-Jari Street with a measurement rate of (82 dB). The lowest reading rate was recorded in Hit Hospital Street, with a value of (64dB) in the evening. It is noted that the noise intensity measured by means of transportation in the study area is higher than the global and local standards. Map (2) shows the distribution of road and means of transportation noise in the city of Hit.

The objective of this study is to investigate a stochastic SIR epidemic model incorporating a mean-reverting Ornstein–Uhlenbeck process and individual heterogeneity. Initially, we establish the global existence and positivity of a solution within the model through the application of Lyapunov functions. Subsequently, we delve into the dynamical behavior of the SIR model. Our research reveals that increased noise intensity, a slower reversion rate, and positive individual behavior collaboratively contribute to the mitigation of infection outbreaks. [ABSTRACT FROM AUTHOR]

This article is concerned with the stability, ergodicity and mixing of invariant measures of a class of stochastic lattice plate equations with nonlinear damping driven by a family of nonlinear white noise. The polynomial growth drift term has an arbitrary order growth rate, and the diffusion term is a family of locally Lipschitz continuous functions. By modifying and improving several energy estimates of the solutions uniformly for initial data when time is large enough, we prove that the noise intensity union of all invariant measures of the stochastic equation is tight on ℓ 2 × ℓ 2 . Then, we show that the weak limit of every sequence of invariant measures in this union must be an invariant measure of the corresponding limiting equation under the locally Lipschitz assumptions on the drift and diffusion terms. Under some globally Lipschitz conditions on the drift and diffusion terms, we also prove that every invariant measure of the stochastic equation must be ergodic and exponentially mixing in the pointwise and Wasserstein metric sense. [ABSTRACT FROM AUTHOR]

Introduction: The textile industry is one industry in the world with a high risk in its production process. The operation of weaving machines generates high levels of noise, which can cause various adverse effects on workers' health, especially work-related stress. IT Co. Ltd., one of the largest textile companies in Solo, Central Java, since 1975, has not been able to overcome the problem of the high noise intensity, especially in the weaving production room. Methods: This study aims to determine the effect of reducing noise exposure on work-related stress by installing sound-absorbing materials from coconut fiber waste. The study was carried out in 2 phases. The first phase measured noise intensity and work stress before the intervention. The second phase was carried out for 12 measurements daily after installing sound-absorbing material from coconut fiber waste. Results: Installing sound-absorbing material from the coconut fiber waste on the second to the thirteenth day positively reduced the average noise intensity and work-related stress score compared to the first day before the intervention. Conclusion: The study showed a significant difference in the average noise intensity and work-related stress before and after installing the sound-absorbing materials on 13 days of measurement.

In this article, we present the complex Ginzburg–Landau equation involving eighth-order dispersion and multiplicative white noise effect in the context of Itô sense for the first time. In order to investigate and analyze the proposed model, two efficient and convenient techniques have been employed in this study. The results revealed the presence of various solitons, including bright, dark, and singular solitons. Additionally, the existence of straddled solitons was reported as well. These findings contribute to the current understanding of soliton dynamics and provide valuable insights for further research in this field. To better understand our findings, we have included several graphs that effectively illustrate the effect of the white noise. The white noise effect refers to a specific pattern of random fluctuations that can be observed in various systems and phenomena. It is characterized by a uniform distribution of frequencies across the entire spectrum, resulting in a constant and uncorrelated signal.

This article aims to introduce the generalized stochastic perturbed Schrödinger–Hirota equation, which incorporates multiplicative white noise in the Itô sense. The study focuses on investigating the stochastic optical soliton solutions related to the governing model to understand the characteristics and properties of these soliton solutions. We can achieve this by utilizing the enhanced Kudryashov method and the enhanced direct algebraic approach. The study stands out for its innovative approach to examining the effects of multiplicative white noise on stochastic optical soliton solutions through the lens of the generalized stochastic perturbed Schrödinger–Hirota equation. Utilizing the enhanced Kudryashov method alongside the novel enhanced direct algebraic method, this research effectively identifies and delineates a range of soliton solution types, such as bright, dark, singular, and straddled solitons. This thorough investigation not only underscores the efficacy and efficiency of these methods but also sheds light on the impact of noise on the structural and dynamic properties of soliton solutions, supported by illustrative visualizations. A notable finding is that all solutions derived using the enhanced direct algebraic method feature a nonzero coefficient for the highest-order term of the auxiliary equation. The diversity of solutions obtained through these approaches includes bright, dark, singular, and straddled solitons. Additionally, the study reveals Weierstrass and Jacobi elliptic doubly periodic solutions, which can transition into various soliton types under specific parameter conditions, offering a broader understanding of soliton behavior and properties. [ABSTRACT FROM AUTHOR]

In this article, we present the complex Ginzburg–Landau equation involving eighth-order dispersion and multiplicative white noise effect in the context of Itô sense for the first time. In order to investigate and analyze the proposed model, two efficient and convenient techniques have been employed in this study. The results revealed the presence of various solitons, including bright, dark, and singular solitons. Additionally, the existence of straddled solitons was reported as well. These findings contribute to the current understanding of soliton dynamics and provide valuable insights for further research in this field. To better understand our findings, we have included several graphs that effectively illustrate the effect of the white noise. The white noise effect refers to a specific pattern of random fluctuations that can be observed in various systems and phenomena. It is characterized by a uniform distribution of frequencies across the entire spectrum, resulting in a constant and uncorrelated signal. • High Dispersion and Cubic–Quintic–Septic–Nonic Nonlinearity Effects. • Optical Solitons in the Complex Ginzburg–Landau Equation of Eighth-Order. • Multiplicative White Noise in the Itô Sense. [ABSTRACT FROM AUTHOR]