Operating revenue remained largely unchanged at Rs 1,430 crore compared to Rs 1,426 crore in FY23. The company, which secured its maiden fundraise last year, saw a 40% surge in employee benefit expenses at Rs 71 crore, while finance costs rose nearly 50% to Rs 29.5 crore. Total expenses increased to Rs 1,460 crore from Rs 1,432 crore in FY23.

A Saskatoon Loraas recycling truck driver got a shock on Monday when he heard noise coming from the back of his truck and found a man inside.

L'arm�e chinoise a effectu� mercredi des patrouilles de pr�paration au combat dans les eaux territoriales et l'espace a�rien territorial de Huangyan Dao, �le chinoise en mer de Chine m�ridionale, ainsi que dans des zones avoisinantes. Le...

Un rapport conjoint intitul� "Un nouveau mod�le pour le progr�s humain et son importance mondiale" a �t� publi� lors du Forum des m�dias et des groupes de r�flexion du Sud global qui s'est tenu lundi � Sao Paulo, au Br�sil. R�dig� par des groupes...

I decided to work on a javascript canvas experiment where I can drag the mouse and scroll within a map. I got a simple "map" drawing colored squares that can be dragged around. I found a perlin noise library, and made the map look like wavy colors. It was pretty slow at that point, so I rewrote the drawing code so it writes directly into the image data. Now I have a smoothly scrolling wavy thing, but I'm not sure what I'm going to use it for. sproutworks.com/demos/perlin

Born to the family of a cartwright in Ireland, he entered monastic life when he was very young at the Monastery of Clonard, where he became a disciple of St Finnian (December 12). He became one of the 'Twelve Apostles of Ireland', all of them disciples of St Finnian. Ciaran founded the great monastery of Clonmacnoise (pronounced clon-mac-neesh) on the Shannon River, which became one of Ireland's great monasteries. Once, during a great famine, He distributed all of the monastery's food to the people, entrusting his monks' survival, and his own, to providence. Saint Ciaran reposed in peace, aged only thirty-three, in 549.

Born to the family of a cartwright in Ireland, he entered monastic life when he was very young at the Monastery of Clonard, where he became a disciple of St Finnian (December 12). He became one of the 'Twelve Apostles of Ireland', all of them disciples of St Finnian. Ciaran founded the great monastery of Clonmacnoise (pronounced clon-mac-neesh) on the Shannon River, which became one of Ireland's great monasteries. Once, during a great famine, He distributed all of the monastery's food to the people, entrusting his monks' survival, and his own, to providence. Saint Ciaran reposed in peace, aged only thirty-three, in 549.

Ever tempted by those misbaving in church—you know, the parents? (Of course, kids can be quite the nuisance, too.) Fr. Joseph ventures where angels, at least priests—even parents, fear to tread!

They say Lily died of stress from the loud bangs.

Action recognition plays a vital role in analysing human body behaviour and has significant implications for research and education. However, traditional recognition methods often suffer from issues such as inaccurate time and spatial feature vectors. Therefore, this study addresses the problem of inaccurate recognition of aerobic gymnastics action image data and proposes a visualised three-dimensional convolutional neural network algorithm-based action recognition model. This model incorporates unsupervised visualisation methods into the traditional network and enhances data recognition capabilities through the introduction of a random noise perturbation enhancement algorithm. The research results indicate that the data augmented with noise perturbation achieves the lowest mean square error, reducing the error value from 0.3352 to 0.3095. The use of unsupervised visualisation analysis enables clearer recognition of human actions, and the algorithm model is capable of accurately recognising aerobic movements. Compared to traditional algorithms, the new algorithm exhibits higher recognition accuracy and superior performance.

Aim/Purpose: The aim of the present paper is to present a Noise Decision (ND) scale. First, it reports the development and validation of the instrument aimed at examining organizational factors that have an influence on decision-making and the level of noise. Second, it validates this rating scale by testing its discriminant and convergent validity with other measures to assess decision-making qualities. Background: According to the literature, the concept of noise is the unwanted variability present in judgments. The notion of noise concerns the systematic influence to which individuals are exposed in their environment. The literature in the field has found that noise reduction improves the perception of work performance. Methodology: The first study involves the development of a scale (composed of 36 items) consisting of semi-structured interviews, item development, and principal component analysis. The second study involves validation and convergent validity of this scale. In the first study, there were 43 employees from three medium-sized Italian multinationals. For the second study, a sample of 867 subjects was analysed. Contribution: This paper introduces the first scale aimed at assessing noise within individuals and, in the organizational context, within employees and employers. Findings: Results show that the estimated internal reliability for each of the ND subscales and also the correlations between the subscales were relatively low, suggesting that ND correctly measures the analyzed components. Furthermore, the validation of the psychometric qualities of the ND allowed for the assertion that the influence of noise is present in the decision-making process within the context of work environments, validating the initial hypotheses. Recommendation for Researchers: This paper aims to improve theory and research on decision-making; for example, by providing a possible implementation for scales for evaluating decision-making skills. Furthermore, detecting and limiting noise with a systematic method could improve both the quality of decisions and the quality of thought processes. Future Research: Given the measurement of ND, the study can be a starting point for future research on this topic. Since there is no literature about this construct, it would be necessary to spend more time researching, so that the topic becomes clearer. System noise has been tested by some researchers with a “noise audit,” which means giving the same problem to different people and measuring the differences in their responses. Repeating this kind of audit in conjunction with the ND in a specific work environment could be helpful to detect but also measure the influence of noise.

Daniil Medvedev was able to "block the noise" following a temper tantrum in his previous match and moved back into contention at the ATP Finals with a 6-2, 6-4 victory over Alex de Minaur on Tuesday.

Washington — Workers who frequently drill concrete can experience reduced exposure to noise, silica dust and vibration if pneumatic rock drills are replaced with electric rotary hammer drills, according to researchers at the University of California, Berkeley.

The CEL-350 dBadge Micro Noise Dosimeter is a compact safety tool designed to measure the noise exposure of an employee over the workday to uncover dangerous areas and ensure compliance with strict OSHA, NIOSH or ISO regulations.

The SM1R Industrial Headset was designed specifically to enhance two-way radio communication in high-noise environments.

The HD•3 High-Definition, Noise-Isolating Headset combines HD•5 Safety Earphones with an in-line microphone for communication by smartphone.

The dBadge2 Personal Noise Dosimeter has gained intrinsic safety certification for use in industries that operate in highly explosive environments, including oil and gas, chemical, and other sectors.

FREE 2.0 earbuds filter damaging noise levels while allowing users to listen to music and take phone calls without removing the earbuds.

The Airwave App provides remote access to Casella’s Apex2 Personal Sampling Pump and the dBadge2 Noise Dosimeter.

Northampton, England — Prompted by workers’ safety concerns about the quietness of electric forklifts, British researchers are working to develop an audible alert.

A common question we are asked is, “We work a 12-hour shift: Should I use 8 or 12 as the time duration on my noise dosimeter to calculate the time-weighted average?” Understanding how changing the time duration of a noise dosimeter sample affects the results, and how this relates to the noise standard, will help us make the best decision.

What are the latest ways to measure environmental noise?

When should I use a noise dosimeter instead of a sound level meter?

What are the differences in current noise exposure standards?

The dBadge2 is the world’s first shoulder-mounted, cable-free noise dosimeter with Bluetooth 4.0 communications for Apple or Android mobile devices.

The doseBadge5 Personal Dosimeter now features enhanced wireless technology to allow the instrument to communicate remotely with the doseBadge5 Wand and the dBLink App.

Cincinnati — Workers exposed to loud noise on the job are at increased risk for hypertension and high cholesterol – key risk factors for heart disease – according to a recent study from NIOSH.

Washington — The American Staffing Association on Sept. 12 will host a webinar reviewing OSHA’s latest Temporary Worker Initiative bulletin, which addresses noise exposure and hearing conservation.

Washington — NIOSH, in conjunction with Wikipedia, has launched a yearlong campaign aimed at improving the free online encyclopedia’s content related to acoustics and the harmful effects of noise.

Washington — More than half of workers who are exposed to hazardous noise on the job don’t consistently use hearing protection, results of a recent NIOSH study show.

Kansas City, MO — A new Regional Emphasis Program from OSHA is aimed at safeguarding workers in the Midwest from occupational noise hazards that can lead to permanent hearing loss.

We have some 10- and 12-hour work shifts. How do we account for the longer noise exposure times under OSHA reporting requirements, and should we be adjusting our criteria for determining which employees should be included in our hearing conservation program?

What can be done to minimize or eliminate artifacts and uncertainties from my noise dosimetry results, and to determine whether or not these were caused intentionally?

Washington – OSHA has launched a Regional Emphasis Program on noise hazards targeting select New England manufacturing and food production facilities.

Washington – NIOSH has developed a sound level meter mobile app designed to measure noise exposure in the workplace.

The Casella dBadge2, designed for use in explosive environments, is certified intrinsically safe – it will not ignite an explosion even under fault conditions.

Every year, roughly 30 million people in the Unites States are exposed to hazardous noise at work, according to OSHA. High levels of noise can result in permanent hearing loss for workers.

The workplace virtual tour is educational software that provides users with a fully interactive experience in which participants learn how to use either a noise dosimeter or a sound level meter while touring a workplace.

Can I use earbud-type devices as hearing protection in industrial settings?

Philadelphia — OSHA Region 3 has extended its Regional Emphasis Program focused on industries with high levels of workplace noise.

The impact of sample thickness and experimental noise on angular correlation analysis from scanning electron nanobeam diffraction patterns of disordered carbon are investigated and analyzed regarding the interpretability of the analysis results.

Small-angle X-ray scattering (SAXS) is a widely used method for nanoparticle characterization. A common approach to analysing nanoparticles in solution by SAXS involves fitting the curve using a parametric model that relates real-space parameters, such as nanoparticle size and electron density, to intensity values in reciprocal space. Selecting the optimal model is a crucial step in terms of analysis quality and can be time-consuming and complex. Several studies have proposed effective methods, based on machine learning, to automate the model selection step. Deploying these methods in software intended for both researchers and industry raises several issues. The diversity of SAXS instrumentation requires assessment of the robustness of these methods on data from various machine configurations, involving significant variations in the q-space ranges and highly variable signal-to-noise ratios (SNR) from one data set to another. In the case of laboratory instrumentation, data acquisition can be time-consuming and there is no universal criterion for defining an optimal acquisition time. This paper presents an approach that revisits the nanoparticle model selection method proposed by Monge et al. [Acta Cryst. (2024), A80, 202–212], evaluating and enhancing its robustness on data from device configurations not seen during training, by expanding the data set used for training. The influence of SNR on predictor robustness is then assessed, improved, and used to propose a stopping criterion for optimizing the trade-off between exposure time and data quality.

Signal-to-noise ratio and spatial resolution are quantitatively analysed in the context of in-line (propagation based) X-ray phase-contrast imaging. It is known that free-space propagation of a coherent X-ray beam from the imaged object to the detector plane, followed by phase retrieval in accordance with Paganin's method, can increase the signal-to-noise in the resultant images without deteriorating the spatial resolution. This results in violation of the noise-resolution uncertainty principle and demonstrates `unreasonable' effectiveness of the method. On the other hand, when the process of free-space propagation is performed in software, using the detected intensity distribution in the object plane, it cannot reproduce the same effectiveness, due to the amplification of photon shot noise. Here, it is shown that the performance of Paganin's method is determined by just two dimensionless parameters: the Fresnel number and the ratio of the real decrement to the imaginary part of the refractive index of the imaged object. The relevant theoretical analysis is performed first, followed by computer simulations and then by a brief test using experimental images collected at a synchrotron beamline. More extensive experimental tests will be presented in the second part of this paper.

Cryogenic electron microscopy (cryo-EM) is a pivotal technique for imaging macromolecular structures. However, despite extensive processing of large image sets collected in cryo-EM experiments to amplify the signal-to-noise ratio, the reconstructed 3D protein-density maps are often limited in quality due to residual noise, which in turn affects the accuracy of the macromolecular representation. Here, crefDenoiser is introduced, a denoising neural network model designed to enhance the signal in 3D cryo-EM maps produced with standard processing pipelines. The crefDenoiser model is trained without the need for `clean' ground-truth target maps. Instead, a custom dataset is employed, composed of real noisy protein half-maps sourced from the Electron Microscopy Data Bank repository. Competing with the current state-of-the-art, crefDenoiser is designed to optimize for the theoretical noise-free map during self-supervised training. We demonstrate that our model successfully amplifies the signal across a wide variety of protein maps, outperforming a classic map denoiser and following a network-based sharpening model. Without biasing the map, the proposed denoising method leads to improved visibility of protein structural features, including protein domains, secondary structure elements and modest high-resolution feature restoration.

The USGS is working with federal land management agencies to develop a series of structured science syntheses (SSS) to support National Environmental Policy Act (NEPA) analyses. This new synthesis is the third publication in the SSS series and provides science to support NEPA analyses for agency decisions regarding oil and gas leasing and permitting.

The Orange County Sanitation District in Huntington Beach, California provides wastewater collection, treatment, and disposal services for approximately 2.6 million people. They had a combination of loud industrial equipment, cavernous space, and highly reflective surfaces creating an acoustic nightmare.

If you or a loved one requires oxygen therapy, choosing the right portable oxygen concentrator can be overwhelming. You want a device that's reliable, easy to use, and fits your specific needs, all while being cost-effective. Arya Airtivo is the one!

This time, the product upgrade of the Silk Wallpaper gives you more than you want. Nauzha intends to make Chinoiserie popular again.

Renowned Athlete and Bestselling Author Juliet Starrett Declares War on Health Industry Noise, Paving the Way for Lasting Well-being