If public companies are increasingly focused on meeting quarterly earnings expectations, what happens to the innovations that require years of investment and patience to develop?

New research suggests the answer could have far-reaching implications for businesses, investors and the broader economy. Companies facing greater short-term financial pressures tend to produce fewer breakthrough and novel innovations, the kinds of discoveries that can shape industries for decades.

A new study published in The Open Chemical Engineering Journal by Dr. Mario Luis Chew Hernández of the Department of Chemical Engineering, TECNM Tecnológico de Estudios Superiores de Coacalco, Coacalco, México — alongside co-authors Gisela Janeth Espinosa Martínez and Verónica Velázquez Romero — tackles a problem that water utilities and industrial operators face regularly: when a pipe leaks somewhere in a multi-section distribution system, where do you start looking? Most existing methods for finding pipe leaks depend on extensive sensor networks, sophisticated fluid-mechanics models, or significant computing power — resources that most field engineers simply do not have at hand. This study takes a different approach by making the most of what is already known — the physical characteristics of each pipe section and a rough reading of the flow at the system's outlet — to work out the most rational inspection order, so that the leak is found as quickly as possible and as little fluid is lost as possible in the process.

Diabetic retinopathy — the leading cause of vision loss in people with diabetes — has long been understood as a complication that worsens the longer a person has the disease. A new study published in The Open Ophthalmology Journal challenges that assumption. By pooling and reanalyzing single-cell gene expression data from four independent research groups, covering both diabetic and healthy mice, researchers at Jinan University in China found that it is the actual blood sugar level at any given point, rather than how many years a person has had diabetes, that most reliably predicts how severely the retina is damaged. This finding held consistently across multiple cell types in the retina — including light-sensing cells, support cells, and signal-relaying cells — all of which showed gene activity patterns that tracked far more closely with blood glucose concentration than with how long the animals had been diabetic. The results were validated through laboratory experiments on diabetic mice, adding biological confirmation to the computational findings.