Inference for plant-capture

When investigating the dynamics of an animal population, a primary objective is to obtain reasonable estimates of abundance or population size. This thesis concentrates on the problem of obtaining point estimates of abundance from capture-recapture data and on how such estimation can be improved by using the method of plant-capture. Plant-capture constitutes a natural generalisation of capture-recapture. In a plant-capture study a pre-marked population of known size is added to the target population of unknown size. The capture-recapture experiment is then carried out on the augmented population. Chapter 1 considers the addition of planted individuals to target populations which behave according to the standard capture-recapture model M₀. Chapter 2 investigates an analogous model based on sampling in continuous time. In each of these chapters, distributional results are derived under the assumption that the behaviour of the plants is indistinguishable from that of members of the target population. Maximum likelihood estimators and other new estimators are proposed for each model. The results suggest that the use of plants is beneficial, and furthermore that the new estimators perform more satisfactorily than the maximum likelihood estimators. Chapter 3 introduces, initially in the absence of plants, a new class of estimators, described as coverage adjusted estimators, for the standard capture-recapture model M[sub]h. These new estimators are shown, through simulation and real life data, to compare favourably with estimators that have previously been proposed. Plant-capture versions of these new estimators are then derived and the usefulness of the plants is demonstrated through simulation. Chapter 4 describes how the approach taken in chapter 3 can be modified to produce a new estimator for the analogous continuous time model. This estimator is then shown through simulation to be preferable to estimators that have previously been proposed

MASC 2022: What challenges and opportunities do supramolecular chemists face in coming years?

Supramolecular chemistry has gone from strength to strength in recent decades, with its impact felt from catalysis to materials science to chemical biology. This Voices article, published to coincide with the 2022 Macrocyclic and Supramolecular Chemistry Group meeting at the University of Nottingham, UK, asks speakers from the meeting: what are the major challenges and opportunities facing the field in coming years

MASC 2022: What challenges and opportunities do supramolecular chemists face in coming years?

Supramolecular chemistry has gone from strength to strength in recent decades, with its impact felt from catalysis to materials science to chemical biology. This Voices article, published to coincide with the 2022 Macrocyclic and Supramolecular Chemistry Group meeting at the University of Nottingham, UK, asks speakers from the meeting: what are the major challenges and opportunities facing the field in coming years

Fast and slow parietal pathways mediate spatial attention

Mechanisms of selective attention are vital for guiding human behavior. The parietal cortex has long been recognized as a neural substrate of spatial attention, but the unique role of distinct parietal subregions has remained unclear. Using single-pulse transcranial magnetic stimulation, we found that the angular gyrus of the right parietal cortex mediates spatial orienting during two distinct time periods after the onset of a behaviorally relevant event. The biphasic involvement of the angular gyrus suggests that both fast and slow visual pathways are necessary for orienting spatial attention