Spatial-temporal analysis of groundwater well features from neural network prediction of hexavalent chromium concentration.

Groundwater monitoring is a crucial part of groundwater remediation that produces data from various strategically placed wells to maintain a water quality standard. Using the United States Department of Energy's Hanford 100-HRD area well data, recurrent neural networks are trained in the form of one-dimensional Convolutional Neural Networks (CNNs), Long Short Term Memory (LSTM) networks, and Dual-stage Attention-based LSTM (DA-LSTM) networks to reduce monitoring costs and increase data sampling responsiveness that is subject to laboratory analysis delays, with the best network being DA-LSTM achieving an R score of 0.82.

[Treatment protocol for manifestations of persistent COVID].

Persistent COVID is a symptomatic disease involving multiple organs which affects patients who have had COVID-19 and who continue to have symptoms (asthenia, arthralgia, myalgia, headache, dyspnea, cough, chest pain, dysphonia) for more than 4-12 weeks after infection. Its presentation is independent of the severity of the acute COVID-19 phase. It is predominant in middle-aged women.

Noninvasive ventilation: education and training. A narrative analysis and an international consensus document.

Noninvasive ventilation (NIV) is an increasingly used method of respiratory support. The use of NIV is expanding over the time and if properly applied, it can save patients' lives and improve long-term prognosis. However, both knowledge and skills of its proper use as life support are paramount.