There has been great popular and scholarly interest in the activities of non-Arctic actors in the Arctic region, and in the Arctic Council specifically. We find controversy around the activities of Observers in the Council, with some seeing challenges to Arctic states and others seeing positive co-operation. The Arctic Council is the preeminent governance forum for the Arctic region, consisting of the Arctic states (as of 2023, minus Russia) and six Indigenous peoples’ organisations. Non-Arctic states, intergovernmental organisations and non-governmental organisations can be Observers in the institution. Existing literature has examined the significance, interest and powers of these actors; this paper answers the research question, what do Observers actually do in the Arctic Council? To answer this question, this paper presents the results of content analysis of official Arctic Council Observer reviews and reports, which catalogue their activities. The answer may seem obvious: Observers observe. However, Arctic Council Observers do more than this simple function. This paper proposes that all of the activities of Observers fit into a typology of six types of activity. The ultimate finding is that Observers in the Arctic Council work with Arctic states to enhance institutional work around climate change and sustainable development; we see examples of positive co-operation that enhances regional governance. It is another example of peaceful international relations in the Arctic.

Lameness is considered a major problem in dairy production. Lameness is commonly detected with locomotion scores assigned to cows under farm conditions, but raters are often trained and assessed for reliability and agreement by using video recordings. The aim of this study was to evaluate intra- and inter-rater reliability and agreement of experienced and inexperienced raters for locomotion scoring performed live and from video, and to calculate the influence of raters and the method of observation (live or video) on the probability of classifying a cow as lame. Using a five-level locomotion score, cows were scored twice live and twice from video by three experienced and two inexperienced raters for three weeks. Every week different cows were scored. Intra- and inter-rater reliability (expressed as weighted kappa, kw) and agreement (expressed as percentage of agreement, PA) for live/live, live/video and video/video comparisons were determined. A logistic regression was performed to estimate the influence of the rater and method of observation on the probability of classifying a cow as lame in live and video observation. Experienced raters had higher values for intra-rater reliability and agreement for video/video than for live/live and live/video comparison. Inexperienced raters, however, did not differ for intra- and inter-rater reliability and agreement for live/live, live/video and video/video comparisons. The logistic regression indicated that raters were responsible for the main effect and the method of observation (live or from video) had a minor effect on the probability for classifying a cow as lame (locomotion score ≥ 3). In conclusion, under the present experimental conditions, experienced raters performed better than unexperienced raters when locomotion scoring was done from video. Since video observation did not show any important influence in the probability of classifying a cow as lame, video observation seems to be an acceptable method for locomotion scoring and lameness assessment in dairy cows.

In this paper a discrete-time observer-based approach to Fault Detection and Isolation (FDI) for industrial robotic manipulators is presented and experimentally tested. In order to counteract the effects of unmodeled dynamics and disturbances, a time-delayed estimate of such effects is adopted. Remarkably, the observer is designed directly in the discrete-time domain. The performance of the proposed approach are experimentally verified on a six-degrees-of-freedom industrial robot.

On an arbitrary reflexive Banach space, we build asymptotic observers for an abstract class of nonlinear control systems with possible compact outputs. An important part of this paper is devoted to various examples, where we discuss the existence of persistent inputs which make the system observable. These results make a wide generalization to a nonlinear framework of previous works on the observation problem in infinite dimension (see [11,18,22,26,27,38,40] and other references therein).