Questing Excellence in Academia

Unlike almost most other studies of neoliberal universities and academic capitalism this book ethnographically explores and interprets those transformations and their contradictions empirically in the everyday practices of students, faculty members, and administrators at two public universities: NTNU in Norway and UCLA in California. Differently situated in global political economies, both are ambitious, prosperous campuses. The book refl exively examines their disturbing disputes about quality, competition, and innovation. It argues that some academic, bureaucratic, and corporate university governance practices are both unsustainable and undermining what some university students and faculty already do well: circulate interdisciplinary knowledge and its making globally across the diasporic domains of academia, society, industry, and government while addressing the world’s immediate challenges: power, inequities, and sustainability. It shows the important, strategic work of domesticating, co- morphing, and meshworking at the faultlines of emerging knowledge. This book is for students, faculty, society members, and policy makers who want to engage more effectively with contemporary universities that increasingly serve as busy crossroads for sharing ideas and how to make them. It will be of interest to workers and scholars in the interdisciplinary fi elds of higher education studies, critical university studies, and critical public infrastructure studies, plus science, technology, and society studies

Complete genome sequences of four novel <i>Lactococcus lactis</i> phages distantly related to the Rare 1706 Phage Species

Lactoccocus lactis is a Gram-positive bacterium widely used in the dairy industry in the production of an array of cheeses and other fermented milk products. Here, we describe the sequencing and genome annotations of a set of four phages virulent to L. lactis and exhibiting similarities to phage 1706

Sukkertareprosjektet: Analyse av klima- og overvåkningsdata

Årsliste 2007Klimatiske- og klimarelaterte endringer eller avvik, er analysert med henblikk på årsaks­sammenhenger – både direkte og indirekte - til sukkertarens (Saccharina latissima) bortfall langs sørlandskysten av Norge. Rapporten sammenstiller tilgjengelige miljøovervåkings- og klimadata, og beskriver de største klimatiske og miljø­messige hendelser og endringer i Skagerrak regionen tilbake til 1960. Eutrofiering siden 1980 har sannsynlig gitt sukkertaren tiltakende dårligere vilkår, og høy sjøtemperatur i 1997 kan sannsynlig ha vært utløsende faktor til regionalt tap av sukkertareskog. Climatic variance and related events have been analysed for plausible changes or anomalies in relation to cause-effect (direct and indirect) for the loss of the sugar kelp forest (Saccharina latissima) along the southern coast of Norway. The report compiles existing environmental and climate data, including an assessment of the largest climate and environmental changes back to 1960. Eutrophication since 1980 has probably reduced the conditions for sugar kelp and high sea temperature in 1997 is probably the triggering factor for regional loss of sugar kelp forest.Statens Forurensningstilsyn

Metagenomic analysis of dairy bacteriophages: Extraction method and pilot study on whey samples derived from using undefined and defined mesophilic starter cultures

Despite being potentially highly useful for characterizing the biodiversity of phages, metagenomic studies are currently not available for dairy bacteriophages, partly due to the lack of a standard procedure for phage extraction. We optimized an extraction method that allows the removal of the bulk protein from whey and milk samples with losses of less than 50% of spiked phages. The protocol was applied to extract phages from whey in order to test the notion that members of Lactococcus lactis 936 (now Sk1virus), P335, c2 (now C2virus) and Leuconostoc phage groups are the most frequently encountered in the dairy environment. The relative abundance and diversity of phages in eight and four whey mixtures from dairies using undefined mesophilic mixed-strain cultures containing Lactococcus lactis subsp. lactis biovar diacetylactis and Leuconostoc species (i.e., DL starter cultures) and defined cultures, respectively, were assessed. Results obtained from transmission electron microscopy and high-throughput sequence analyses revealed the dominance of Lc. lactis 936 phages (order Caudovirales, family Siphoviridae) in dairies using undefined DL starter cultures and Lc. lactis c2 phages (order Caudovirales, family Siphoviridae) in dairies using defined cultures. The 936 and Leuconostoc phages demonstrated limited diversity. Possible coinduction of temperate P335 prophages and satellite phages in one of the whey mixtures was also observed. Importance: The method optimized in this study could provide an important basis for understanding the dynamics of the phage community (abundance, development, diversity, evolution, etc.) in dairies with different sizes, locations, and production strategies. It may also enable the discovery of previously unknown phages, which is crucial for the development of rapid molecular biology-based methods for phage burden surveillance systems. The dominance of only a few phage groups in the dairy environment signifies the depth of knowledge gained over the past decades, which served as the basis for designing current phage control strategies. The presence of a correlation between phages and the type of starter cultures being used in dairies might help to improve the selection and/or design of suitable, custom, and cost-efficient phage control strategies

Integrated Brain Atlas for Unbiased Mapping of Nervous System Effects Following Liraglutide Treatment

Light Sheet Fluorescence Microscopy (LSFM) of whole organs, in particular the brain, offers a plethora of biological data imaged in 3D. This technique is however often hindered by cumbersome non-Automated analysis methods. Here we describe an approach to fully automate the analysis by integrating with data from the Allen Institute of Brain Science (AIBS), to provide precise assessment of the distribution and action of peptide-based pharmaceuticals in the brain. To illustrate this approach, we examined the acute central nervous system effects of the glucagon-like peptide-1 (GLP-1) receptor agonist liraglutide. Peripherally administered liraglutide accessed the hypothalamus and brainstem, and led to activation in several brain regions of which most were intersected

Non-Replication of Genome-Wide Based Associations between Common Variants in INSIG2 and PFKP and Obesity in Studies of 18,014 Danes

(rs17782313) as genetic risk factors. = 2,158) from Steno Diabetes Center. rs17782313 were observed. rs7566605 may influence the level of BMI in combination with the level of physical activity

Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation.

Thyroid dysfunction is an important public health problem, which affects 10% of the general population and increases the risk of cardiovascular morbidity and mortality. Many aspects of thyroid hormone regulation have only partly been elucidated, including its transport, metabolism, and genetic determinants. Here we report a large meta-analysis of genome-wide association studies for thyroid function and dysfunction, testing 8 million genetic variants in up to 72,167 individuals. One-hundred-and-nine independent genetic variants are associated with these traits. A genetic risk score, calculated to assess their combined effects on clinical end points, shows significant associations with increased risk of both overt (Graves' disease) and subclinical thyroid disease, as well as clinical complications. By functional follow-up on selected signals, we identify a novel thyroid hormone transporter (SLC17A4) and a metabolizing enzyme (AADAT). Together, these results provide new knowledge about thyroid hormone physiology and disease, opening new possibilities for therapeutic targets

TRY plant trait database – enhanced coverage and open access

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives