An intelligent predictive and optimized wastewater treatment plant.

The intelligent predictive and optimized wastewater treatment plant method represents a ground-breaking shift in how we manage wastewater. By capitalizing on data-driven predictive modeling, automation, and optimization strategies, it introduces a comprehensive framework designed to enhance the efficiency and sustainability of wastewater treatment operations. This methodology encompasses various essential phases, including data gathering and training, the integration of innovative computational models such as Chimp-based GoogLeNet (CbG), data processing, and performance prediction, all while fine-tuning operational parameters.

Keeping it human: Pandemic era psychiatry teaching.

Background: Mental health is an important global issue, and doctors in training need a grounding in the principles of psychiatry. Undergraduate clinical placements in psychiatry can develop core knowledge and skills as well as challenging stigma towards mental illness. The onset of the coronavirus pandemic saw disruption to undergraduate clinical placements.

A principal component analysis of 39 scientific impact measures.

Background: The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measures has been proposed on the basis of social network analysis and usage log data.

Clickstream data yields high-resolution maps of science.

Background: Intricate maps of science have been created from citation data to visualize the structure of scientific activity. However, most scientific publications are now accessed online. Scholarly web portals record detailed log data at a scale that exceeds the number of all existing citations combined.