Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols Used xiii 1. The Importance of Islands 3 2. Area and Number of Speicies 8 3. Further Explanations of the Area-Diversity Pattern 19 4. The Strategy of Colonization 68 5. Invasibility and the Variable Niche 94 6. Stepping Stones and Biotic Exchange 123 7. Evolutionary Changes Following Colonization 145 8. Prospect 181 Glossary 185 References 193 Index 201

The Theory of Island Biogeography

New evidence and consensus has led to further revision of the McDonald Criteria for diagnosis of multiple sclerosis. The use of imaging for demonstration of dissemination of central nervous system lesions in space and time has been simplified, and in some circumstances dissemination in space and time can be established by a single scan. These revisions simplify the Criteria, preserve their diagnostic sensitivity and specificity, address their applicability across populations, and may allow earlier diagnosis and more uniform and widespread use.

/pdf/diagnostic-criteria-for-multiple-sclerosis-2010-revisions-to-24iph50480.pdf

Diagnostic criteria for multiple sclerosis: 2010 Revisions to the McDonald criteria

计量经济分析 = Econometric analysis

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

The 2010 McDonald criteria for the diagnosis of multiple sclerosis are widely used in research and clinical practice. Scientific advances in the past 7 years suggest that they might no longer provide the most up-to-date guidance for clinicians and researchers. The International Panel on Diagnosis of Multiple Sclerosis reviewed the 2010 McDonald criteria and recommended revisions. The 2017 McDonald criteria continue to apply primarily to patients experiencing a typical clinically isolated syndrome, define what is needed to fulfil dissemination in time and space of lesions in the CNS, and stress the need for no better explanation for the presentation. The following changes were made: in patients with a typical clinically isolated syndrome and clinical or MRI demonstration of dissemination in space, the presence of CSF-specific oligoclonal bands allows a diagnosis of multiple sclerosis; symptomatic lesions can be used to demonstrate dissemination in space or time in patients with supratentorial, infratentorial, or spinal cord syndrome; and cortical lesions can be used to demonstrate dissemination in space. Research to further refine the criteria should focus on optic nerve involvement, validation in diverse populations, and incorporation of advanced imaging, neurophysiological, and body fluid markers.

/pdf/diagnosis-of-multiple-sclerosis-2017-revisions-of-the-55ct02l5o1.pdf

Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria

There is a growing body of evidence in the non-market valuation literature suggesting that responses to a sequence of discrete choice questions tend to violate the assumptions typically made by analysts regarding independence of responses and stability of preferences. Heuristics such as value learning and strategic misrepresentation have been offered as explanations for these results. While a few studies have tested these heuristics as competing hypotheses, none have investigated the possibility that each explains the response behaviour of a subgroup of the population. In this paper, we make a contribution towards addressing this research gap by presenting an equality-constrained latent class model designed to estimate the proportion of respondents employing each of the proposed heuristics. We demonstrate the model on binary and multinomial choice data sources and find three distinct types of response behaviour. The results suggest that accounting for heterogeneity in response behaviour may be a better way forward than attempting to identify a single heuristic to explain the behaviour of all respondents.

/pdf/modelling-heterogeneity-in-response-behaviour-towards-a-100xoqgj4x.pdf

Modelling heterogeneity in response behaviour towards a sequence of discrete choice questions: a latent class approach

The Rise and Rise of Non-market Environmental Valuation

Maternal antibodies provide protection for the developing fetus. Transplacental transport of pathogenic autoantibodies might pose a risk for the developing fetus. The transport of antibodies across the placenta to the fetal circulation occurs through the neonatal Fc salvage receptor (FcRn). During gestation, maternal autoantibodies are able to penetrate the embryonic brain before a functional intact blood-brain barrier is established. Brain-reactive antibodies to the water channel protein aquaporin-4 (AQP4) are a hallmark finding in neuromyelitis optica (NMO), a neurological disease that predominantly affects women, many of whom are of childbearing age. AQP4-IgG mediate astrocytic injury in a complement-dependent fashion. Recent studies suggest these antibodies contribute to impaired pregnancy outcome. The aim of the study was to investigate the transplacental transport as well as FcRn binding of a monoclonal AQP4-IgG cloned from an NMO patient (wild-type antibody) compared to five different mutated Fc domain of this antibody containing single amino acid substitutions in the Fc region. All of the Fc-mutated antibodies lack complement-dependent cytotoxicity. Four of the five Fc-mutated antibodies showed limited transplacental transport in vivo. Three mutated Fc with impaired transplacental transport showed persistent binding to rodent FcRn at pH 6 but also at pH 7.2, suggesting that limited transplacental transport could be due to diminished release from FcRn. One mutated Fc with modestly limited transplacental transport showed diminished binding to FcRn at pH 6. This study suggests that mutated Fc with intact transplacental transport may be used to study antibody effector functions and Fc with limited transport may be used as a carrier to deliver therapies to pregnant woman, while sparing the developing fetus.

/pdf/mutations-of-recombinant-aquaporin-4-antibody-in-the-fc-3xtlh35gwf.pdf

Mutations of Recombinant Aquaporin-4 Antibody in the Fc Domain Can Impair Complement-Dependent Cellular Cytotoxicity and Transplacental Transport

Wetland ecosystems on privately owned farms such as those on the Murrumbidgee River Floodplain in the state of New South Wales, Australia provide a mix of potentially valuable outputs to their owners and the wider community. The mix of values generated is dependent on the biophysical status of the wetlands, which in-turn, is dependent on the land management in and around these multiple-output ecosystems. Despite the range of private and public values generated, management decisions are based primarily on the private values that landowners receive. These private land management decisions also affect social values. Hence, there is potentially a demand for public policy to influence decisions based on the social values wetlands generate. This paper is predicated on the principle that good policy is reliant on information about wetland values. We present an integrated bio-economic model of wetland management that incorporates the biological and economic impacts at a landscape scale. The model reflects the multiple private and social values generated by wetlands and the dynamic nature of the trade-offs between these values. A number of broad policy conclusions for wetland management in Australia are generated from the outputs of the bio-economic model.

A bio-economic model of wetland protection on private lands

Benefit cost analysis (BCA) is a widely used method of assessing environmental policies. One of the limitations of BCA is the incorporation of equity considerations into an analysis. While this is theoretically possible through the application of distributional weights, this practice has not been generally adopted due to difficulties in determining appropriate weights. This paper suggests that one way of addressing the equity issue is through the application of a staged preference technique to the estimation of equity preferences. It is demonstrated that using choice modelling enables respondents' equity preferences to be elicited and distributional weights suitable for application in BCA to be estimated.

/pdf/using-choice-modelling-to-investigate-equity-preferences-hfwzxukl3t.pdf

Jeffrey Bennett

Papers

Modelling heterogeneity in response behaviour towards a sequence of discrete choice questions: a latent class approach

The Rise and Rise of Non-market Environmental Valuation

Mutations of Recombinant Aquaporin-4 Antibody in the Fc Domain Can Impair Complement-Dependent Cellular Cytotoxicity and Transplacental Transport

A bio-economic model of wetland protection on private lands

Using choice modelling to investigate equity preferences