In this paper, we wire propose an improved version of the Pyramidal Predictive Network (PPNV2), a theoretical framework inspired by predictive coding, which addresses the limitations of its predecessor (PPNV1) in the task of future perception prediction.While PPNV1 employed a temporal pyramid architecture and demonstrated promising results, its inn
This article explores the problems and potential of funded short-term cross-sector partnerships to address technological deficits in the nonprofit sector by engaging with the partners of a concluded project.The partnership case study that forms the backbone of this article was a three-year nationally funded Collections nonprofit-industry-academic p
Immobilized enzymes are used in analytical chemistry and as catalysts for the production of chemicals, pharmaceuticals and food.Because of their particular structure, immobilized enzymes require optimal conditions, different from those of soluble enzymes.Particle size, particle-size distribution, mechanical and chemical structure, stability and the
This article presents a novel dataset focused on structural damage in Sofa quadcopters, addressing a significant gap in unmanned aerial vehicle (UAV or drone) research.The dataset is called CrazyPAD (Crazyflie Propeller Anomaly Data) according to the name of the Crazyflie 2.1 nano-quadrocopter used to collect the data.Despite the existence of datas
Despite the gravity of the climate threat, governments around the world have struggled to pass and implement climate policies.Today, politicians and advocates are championing a new idea: linking climate policy to other economic and social reforms.Will this approach generate greater public support for climate action? Here, we test this coalition-bui