We reported previously that no classical features of hyperacute rejection (HAR) could be found in liver grafts in the guinea-pig (GP)-to-rat model and that recipients died shortly after transplantation of non-immunologic causes. Thus, the GP-to-rat model is not suitable for studying the mechanisms of discordant liver xenograft rejection. In the hamster to rat model, long-term survival of a live...

Hirshfeld atom refinement (HAR) is a method which determines structural parameters from single-crystal X-ray diffraction data by using an aspherical atom partitioning of tailor-made ab initio quantum mechanical molecular electron densities without any further approximation. Here the original HAR method is extended by implementing an iterative procedure of successive cycles of electron density c...

Human activity recognition (HAR) is an emerging research topic in pattern recognition, especially in computer vision. The main objective of human activity recognition is to automatically detect and analyze human activities from the information acquired from different sensors. Human activity prediction using big data remains a challengingly open problem. Several approaches have recently been dev...

Lärande i LTH har glädjen att presentera professor Keith Trigwell, som 2016 utsågs till hedersdoktor vid Lunds universitet. Keith Trigwell har särskilt studerat sambanden mellan lärares uppfattningar om undervisning och kvaliteten på studenters lärande. Han har lagt fram empiriskt stöd för att lärare som utvecklar sin syn på studenters lärande också i högre grad lyckas få studenterna att använd...

In this paper we examine the feasibility of Human Activity Recognition (HAR) based on head mounted sensors, both as stand-alone sensors and as part of a wearable multi-sensory network. To prove the feasibility of such setting, an interactive online HAR-system has been implemented to enable for multi-sensory activity recognition while making use of a hierarchical sensor fusion. Our system incorp...

Human activities are inherently translation invariant and hierarchical. Human activity recognition (HAR), a field that has garnered a lot of attention in recent years due to its high demand in various application domains, makes use of time-series sensor data to infer activities. In this paper, a deep convolutional neural network (convnet) is proposed to perform efficient and effective HAR using...

Recent advancements in depth video sensors technologies have made human activity recognition (HAR) realizable for elderly monitoring applications. Although conventional HAR utilizes RGB video sensors, HAR could be greatly improved with depth video sensors which produce depth or distance information. In this paper, a depth-based life logging HAR system is designed to recognize the daily activiti...

BACKGROUND AND OBJECTIVES Hyperacute rejection (HAR) is a major obstacle to successful xenotransplantation of vascularized organs. This study was conducted to observe the effect of hemolysis of perfused human whole blood on pig heart function, and determine the major risk factors for preservation of xenoperfused cardiac function using ex-vivo pig to human xenogeneic cardiac perfusion model. M...