Patent Licensing and the Research University

We construct a dynamic model of university research that allows us to examine recent concerns that financial incentives associated with university patent licensing are detrimental to the traditional mission of US research universities. We assume a principal-agent framework in which the university administration is the principal and a faculty researcher is the agent. Whether or not the researcher remains in the university, and if so her choice of the amount of time to spend on basic and applied research, is complicated by the fact that she earns license income and prestige both inside and outside the university. Thus in contrast to usual principal agent models the participation constraint is endogenous. This, plus the fact that current research affects future knowledge stocks, allows us to show that it is far from obvious that licensing will damage basic research and education.

Smuggling, Camouflaging, and Market Structure

We examine how market structure and enforcement affect smuggling and welfare in a model where smuggling is camouflaged by legal sales. Conditions are given for when some, but not necessarily all, firms smuggle. With camouflaging, the market price is below the price when all sales are legal, so smuggling improves welfare if the price effect outweighs excess smuggling cost. This welfare effect is directly related to the degree of competition. Increased enforcement in this model potentially reduces welfare. The model is shown to be consistent with evidence on cigarette smuggling in the United States for 1975-1982.

A Rare Case of Hemophagocytic Lymphohistiocytosis of Unknown Etiology

Hemophagocytic lymphohistiocytosis (HLH) is an uncommon cytokine storm syndrome marked which can cause high mortality. In adults, acquired HLH usually has an underlying infectious, autoimmune or malignant process that triggers the syndrome. In this case report, we present a 64-year old Caucasian male presenting with productive cough, fevers, weight loss and altered mental status who was ultimately found to have HLH of unknown etiology

The Disclosure and Licensing of University Inventions

We examine the interplay of the three major university actors in technology transfer from universities to industry: the faculty, the technology transfer office (TTO), and the central administration. We model the faculty as an agent of the administration, and the TTO as an agent of both the faculty and the administration. Empirical tests of the theory are based on evidence from our survey of 62 US research universities. We find that the TTOs reported licensing objectives are influenced by their views of faculty and administration, which supports the assumption that the TTO is a dual agent. The theory yields predictions for whether or not faculty disclose inventions and if so, at what stage, which in turn affects license contract terms. We also examine how the portion of inventions disclosed at different stages varies with faculty quality. Quality is found to be inversely related to the share of license income allotted to faculty.

A Search for Pulsation in Very Low-mass Stars and Brown Dwarfs

Brown dwarfs and very low-mass stars constitute a crucial link between the intertwined processes of star formation and planet formation. To date, however, observational methods to uncover their formation mechanism or determine important properties such as mass and age have been lacking. Pulsation powered by deuterium burning in brown dwarfs and very low-mass stars is a newly suggested phenomenon that offers unprecedented opportunities to probe the interiors and evolution of these objects. We report on a photometric campaign to search for low-amplitude pulsations among young star-cluster members using a number of telescopes

DIRECT ESTIMATION OF ABOVEGROUND FOREST PRODUCTIVITY THROUGH HYPERSPECTRAL REMOTE SENSING OF CANOPY NITROGEN

The concentration of nitrogen in foliage has been related to rates of net photosynthesis across a wide range of plant species and functional groups and thus represents a simple and biologically meaningful link between terrestrial cycles of carbon and nitrogen. Although foliar N is used by ecosystem models to predict rates of leaf‐level photosynthesis, it has rarely been examined as a direct scalar to stand‐level carbon gain. Establishment of such relationships would greatly simplify the nature of forest C and N linkages, enhancing our ability to derive estimates of forest productivity at landscape to regional scales. Here, we report on a highly predictive relationship between whole‐canopy nitrogen concentration and aboveground forest productivity in diverse forested stands of varying age and species composition across the 360 000‐ha White Mountain National Forest, New Hampshire, USA. We also demonstrate that hyperspectral remote sensing can be used to estimate foliar N concentration, and hence forest production across a large number of contiguous images. Together these data suggest that canopy‐level N concentration is an important correlate of productivity in these forested systems, and that imaging spectrometry of canopy N can provide direct estimates of forest productivity across large landscapes

Drivers of inter-year variability of plant production and decomposers across contrasting island ecosystems

Despite the likely importance of inter-year dynamics of plant production and consumer biota for driving community- and ecosystem-level processes, very few studies have explored how and why these dynamics vary across contrasting ecosystems. We utilized a well characterized system of 30 lake islands in the boreal forest zone of northern Sweden across which soil fertility and productivity vary considerably, with larger islands being more fertile and productive than smaller ones. In this system we assessed the inter-year dynamics of several measures of plant production and the soil microbial community (primary consumers in the decomposer food web) for each of 9 years, and soil microfaunal groups (secondary and tertiary consumers) for each of 6 of those years. We found that for measures of plant production and each of the three consumer trophic levels, inter-year dynamics were strongly affected by island size. Further, many variables were strongly affected by island size (and thus bottom-up regulation by soil fertility and resources) for some years but none in others, most likely due to inter-year variation in climatic conditions. For each of the plant and microbial variables for which we had 9 years of data, we also determined the inter-year coefficient of variation (CV), an inverse measure of stability. We found that CVs of some measures of plant productivity were greater on large islands while those of other measures were greater on smaller islands; CVs of microbial variables were unresponsive to island7 size. We also found that the effects of island size on the temporal dynamics of some variables were related to inter-year variability of macroclimatic variables. As such, our results show that the inter year dynamics of both plant productivity and decomposer biota across each of three trophic levels, as well as the inter-year stability of plant productivity, differs greatly across contrasting ecosystems, with potentially important but largely overlooked implications for community and ecosystem processes

Parameterized Littlewood-Paley operators with variable kernels on Hardy spaces and weak Hardy spaces

In this paper, by using the atomic decomposition theory of Hardy space and weak Hardy space, we discuss the boundedness of parameterized Littlewood-Paley operator with variable kernel on these spaces.Comment: 15 pages. arXiv admin note: text overlap with arXiv:1711.0961

Using Decision Analysis to Improve Malaria Control Policy Making

Malaria and other vector-borne diseases represent a significant and growing burden in many tropical countries. Successfully addressing these threats will require policies that expand access to and use of existing control methods, such as insecticide-treated bed nets (ITNs) and artemesinin combination therapies (ACTs) for malaria, while weighing the costs and benefits of alternative approaches over time. This paper argues that decision analysis provides a valuable framework for formulating such policies and combating the emergence and re-emergence of malaria and other diseases. We outline five challenges that policy makers and practitioners face in the struggle against malaria, and demonstrate how decision analysis can help to address and overcome these challenges. A prototype decision analysis framework for malaria control in Tanzania is presented, highlighting the key components that a decision support tool should include. Developing and applying such a framework can promote stronger and more effective linkages between research and policy, ultimately helping to reduce the burden of malaria and other vector-borne diseases

Alcohol environment, gender and nonfatal injuries in young people. An ecological study of fourteen Swedish municipalities (2000–2005)

BACKGROUND: Sweden has had a restrictive alcohol policy, but there are gender and geographical differences in alcohol consumption and injury rates within the country. Whether and how the Swedish alcohol environment influences gender differences in injuries in young people is still unclear. Thus, the aim of this study was to analyse the associations between the local alcohol environment and age- and gender-specific nonfatal injury rates in people up to 24 years in Sweden. METHODS: The local alcohol environment from 14 municipalities was studied using indicators of alcohol access, alcohol consumption and alcohol-related crimes. A comprehensive health care register of nonfatal injuries was used to estimate mean annual rates of nonfatal injuries by gender and age group (2000–2005). Pearson’s correlation coefficients were used to analyse linear associations. RESULTS: Associations were shown for both alcohol access and alcohol consumption with injury rates in boys aged 13–17 years; no other associations were observed between alcohol access or per capita alcohol consumption and nonfatal childhood injuries. The prevalence of crimes against alcohol laws was associated with injury rates in children of both genders aged 6–17 years. CONCLUSIONS: This study found no strong area-level associations between alcohol and age and gender specific nonfatal injuries in young people. Further, the strength of the area-level associations varied by age, gender and type of indicator used to study the local alcohol environment