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Effective dust and noise monitoring essential to worker safety

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Mining sites pose higher health and safety risks in the workplace compared to many other work environments, and these risks include dangerous dust and noise pollution. One of the most common reasons for concern is inhalation of dust in a mine. Coal dust is particularly dangerous because prolonged inhalation causes coal workers pneumoconiosis (CWP), also known colloquially as miner's lung or black lung. Research shows that one in four miners has abnormal lung function, CWP, or both1. Similarly, inhaled fumed silica - particularly respirable crystalline silica (RCS) - causes an estimated 230 cases of lung cancer in Australian workers each year. RCS is made through typical mining applications such as crushing, drilling, cutting or grinding rocks or soils that contain the predominant silica mineral. Likewise, the noise caused by the constant use of heavy machinery and drilling can damage the hearing of miners. Often times, this damage goes unnoticed until it&#

Effective dust and noise monitoring essential to worker safety

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Mining sites pose higher health and safety risks in the workplace compared to many other work environments, and these risks include dangerous dust and noise pollution. One of the most common reasons for concern is inhalation of dust in a mine. Coal dust is particularly dangerous because prolonged inhalation causes coal workers pneumoconiosis (CWP), also known colloquially as miner's lung or black lung. Research shows that one in four miners has abnormal lung function, CWP, or both1. Similarly, inhaled fumed silica - particularly respirable crystalline silica (RCS) - causes an estimated 230 cases of lung cancer in Australian workers each year. RCS is made through typical mining applications such as crushing, drilling, cutting or grinding rocks or soils that contain the predominant silica mineral. Likewise, the noise caused by the constant use of heavy machinery and drilling can damage the hearing of miners. Often times, this damage goes unnoticed until it&#

Explainable AI is essential in education

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Edtech adoption in our schools has increased during the pandemic, and if reports are to be believed, the adoption of Artificial Intelligence (AI) has steadily increased too. This is largely a positive development, but do principals and teachers really understand the technology? AI is often adaptive and self-learning, which means that what it already understands about a learner will lead it to draw certain conclusions about that learner's future needs. As more schools use AI-powered technologies, it becomes more important that teachers understand how technology makes decisions. Teachers need to understand not only what a child has learned, but also how they have learned it. For this to be possible, AI-enabled technology vendors need to explain how to choose a particular course of action. For example, AI teaching a foreign language might advise you to revise some words more often than others based on data on the words you forgot the fastest. AI ambiguity It can be diff