Divorce, the legal dissolution of marriage, can be driven by a variety of factors, ranging from changes in the economic status or health conditions of spouses to contrasting values. The end of a marriage can often be challenging to process. Thus, it can have adverse...
Other Sciences
AI-driven dialogue analysis confirms popular movies have grown more violent over the past 70 years
Movies often reflect the predominant societal and cultural values at the time they were shot. These values can be expressed in various elements of a film, including the interactions between characters, their communication styles and their characterizing traits.
Behavior-based dependency networks can shape the resilience of cities following economic shocks
Unexpected crises or events, such as the COVID-19 pandemic or natural disasters, can cause disruptions to a city's economy. For instance, forcing businesses to temporarily close or hindering their daily operations. As businesses often rely on each other, changes in...
Can deep learning techniques predict sudden state transitions in nonlinear dynamical systems?
Nonlinear dynamical systems are systems that can undergo sudden shifts not due to changes in their state or stability, but in response to the rate at which external conditions or parameters change. These sudden shifts, known as noise-induced and rate-induced tipping,...
Study explores the effectiveness of honesty oath for reducing dishonest behaviors
Over the past decades, psychologists and policymakers have been trying to devise interventions that could dissuade individuals from engaging in dishonest social behaviors, such as tax evasion or fraud. One promising strategy they identified entails asking people to...
The relationship between emotions and economic decision-making differs across countries, multi-national analysis finds
When making economic decisions, humans can be driven by various factors, including their goals and emotions. Past studies have hypothesized that emotions play a crucial role in economic decisions, particularly those that involve risk or trade-offs between immediate...
Merging AI and human efforts to tackle complex mathematical problems
By rapidly analyzing large amounts of data and making accurate predictions, artificial intelligence (AI) tools could help to answer many long-standing research questions. For instance, they could help to identify new materials to fabricate electronics or the patterns...
The first validation of the Lillo Mike Farmer Model on a large financial market dataset
Economics and physics are distinct fields of study, yet some researchers have been bridging the two together to tackle complex economics problems in innovative ways. This resulted in the establishment of an interdisciplinary research field, known as econophysics,...
A new strategy for the electrochemical reduction of nitrate to ammonia
Ammonia (NH3) is a colorless, gaseous and water-soluble compound used in several sectors, including agriculture, the energy sector, and a variety of industries. For over a century, the main way of producing large quantities of ammonia has been via the Haber-Bosch...
DITLE – The Future of Engagement in Information Technology
The DITLE program was developed by an interdisciplinary team from the University of Cincinnati School of Information Technology and the School of Education including Dr Chengcheng Li, Dr Helen Meyer, Dr Hazem Said, and Dr Marcus Johnson. The project was managed by...