Results 81 to 90 of about 475 (186)
Affective regimes and ontological security: When empathy threatens the state
Political Psychology, Volume 47, Issue 5, October 2026.Abstract The ontological security of states may be threatened by the politics of empathy. Empathy—as a contested affective‐political field—has a capacity to both consolidate and unravel dominant understandings of identity, security, political subjectivity, and self‐other relations.
Naomi Head
wiley +1 more source
Talking trails: LLM‐enhanced spatiotemporal trajectory modeling for E‐bike delivery route planning
AI Magazine, Volume 47, Issue 3, Fall 2026.Abstract Electric bicycles (e‐bikes) have become the dominant mode of transportation in China's urban instant delivery industry. However, many riders lack the experience to navigate complex traffic networks and diverse road conditions, leading to reduced delivery efficiency.
Zhao Li +3 more
wiley +1 more source
PREDICTION OF AIR POLLUTION FROM MOTOR TRANSPORT ON CITY STREETS AND DISTRICTS
Nauka ta progres transportu, 2013 Purpose. Development of applied numerical model for prediction of atmospheric pollution rate on streets and districts of a city taking into account chemical transformations of pollutants. Methodology.
T. I. Rusakova
doaj
Objects and Evictions: The Politics of Things and the Reshaping of Urban Marginality
Antipode, Volume 58, Issue 5, September 2026.ABSTRACT Scholars have extensively documented different forms of violence experienced by homeless and evictable people, but paid less attention to how their material belongings are handled by the perpetrators of violence. Based on the method of engaged anthropology, the article identified three main regimes of handling material belongings during ...
Irina Zamfirescu
wiley +1 more source
Floods From Space: How Remote Sensing, AI, and Cloud Platforms Are Reshaping Disaster Risk Reduction
Journal of Flood Risk Management, Volume 19, Issue 3, September 2026.ABSTRACT Flooding remains one of the most damaging climate‐related hazards globally, yet flood remote sensing has historically developed largely along sensor‐specific pathways. This review addresses the need for a systematic and decision‐oriented synthesis of how space‐borne remote sensing has evolved toward integrated flood monitoring and disaster ...
Ricky Anak Kemarau +6 more
wiley +1 more source
Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?
Journal of Economic Surveys, Volume 40, Issue 4, Page 1854-1873, September 2026.ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro +3 more
wiley +1 more source
SWIMMING AGAINST THE FLOW: A ROBOTICS SIMULATION FRAMEWORK
Investigación & Desarrollo, 2016 Fish in nature take advantage of some types of turbulence and even generate it to swim with a minimum expenditure of energy. This is the case observed in rainbow trout swimming against the flow in well patterned turbulence phenomenon called Karman Street.
S. Cecilia Tapia Siles, Ryad Chellali
doaj
Journal of Marine Science and EngineeringTo investigate the influence of the chord length and frequency of an oscillating hydrofoil device on the discharge characteristics of floating particulate matter, in this study, we take raceway aquaculture as an example and systematically compare and ...
Ertian Hua +5 more
doaj +1 more source
Food Science &Nutrition, Volume 14, Issue 8, August 2026.Yellow mopane worm powder enhanced the nutritional and functional properties of wheat‐based composite flours by increasing protein, lysine, and mineral contents. Substitution levels up to 15% maintained pasting characteristics comparable to wheat flour, highlighting its suitability for the development of nutrient‐dense cereal products.
Tina Sinethemba Bebe +3 more
wiley +1 more source
Applying Transfer Learning for Street‐Scale Nuisance Flood Forecasting in Coastal‐Urban Environments
Water Resources Research, Volume 62, Issue 8, August 2026.Abstract An important challenge with Machine Learning (ML) is its transferability; that is, whether an ML model trained on one set of data can be applied to a second set of data without requiring full retraining of the model. Transfer Learning (TL) addresses this challenge by transferring knowledge learned in the source domain (the data it was trained ...
Binata Roy +6 more
wiley +1 more source