Rigsfællesskabet i multilateralt arktisk forskningssamarbejde

Intet resum

Rigsfællesskabet i multilateralt arktisk forskningssamarbejde

Intet resum

Teaching Electronics and Programming in Norwegian Schools Using the air:bit Sensor Kit

We describe lessons learned from using the air:bit project to introduce more than 150 students in the Norwegian upper secondary school to computer programming, engineering and environmental sciences. In the air:bit project, students build and code a portable air quality sensor kits, and use their air:bit to collect data to investigate patterns in air quality in their local environment. When the project ended students had collected more than 400,000 measurements with their air:bit kits, and could describe local patterns in air quality. Students participate in all parts of the project, from soldering components and programming the sensors, to analyzing the air quality measurements. We conducted a survey after the project and describe our lessons learned from the project. The results show that the project successfully taught the students fundamental concepts in computer programming, electronics, and the scientific method. In addition, all the participating teachers reported that their students had showed good learning outcomes

INTERACT: FAIR Data from Cold Region Research Stations

The International Network for Terrestrial Research and Monitoring in the Arctic (INTERACT) is a EU Horizon 2020 funded infrastructure project seeking to provide a geographically comprehensive infrastructure for arctic and high altitude research stations. The overall objective of the project is to facilitate the identification of environmental and ecological change, the understanding of change and prediction of future changes. The second phase of the project commenced October 2016. One of the major tasks in the project is to create a coordinated and unified data management approach that would optimize potential future reuse, sharing, and guarantee data and metadata stewardship and preservation. Herein we present the preliminary plan to carry out this objective by focusing on four principles: Findability, Accessibility, Interoperability, and Reusability (FAIR). Currently, 79 sites in arctic and northern alpine areas are part of the INTERACT network. Data collected at these stations are from different scientific disciplines, e.g. geo-sciences (including the atmosphere and cryosphere), hydrology, biology, ecology, and to some extent anthropology. These data are generated as a result of monitoring activities or short term projects. A survey of data management practices in INTERACT was conducted at the beginning of the project. The main finding is that data management at INTERACT stations is highly heterogeneous. In order to establish a unified view on all the data collected by INTERACT stations and through this show the benefit of INTERACT, interoperability at the discovery metadata and data levels is required. The first step towards this is taken through a Data Management Plan (DMP) which is identifying the general principles, common standards to apply and data dissemination principles. The DMP for INTERACT is a living document oriented towards international data management frameworks like World Meteorological Organization Information System (utilized by e.g. Global Cryosphere Watch, Global Atmosphere Watch), and aligned with the activities of the International Arctic Science Committee (IASC) and Sustaining Arctic Observing Network (SAON) Arctic Arctic Data Committee (ADC). INTERACT emphasizes long term data preservation (as promoted by ICSU-WDS), community driven best practices (e.g. RDA), and the principles outlined by the ADC, that promote free, ethically open, sustained, and timely access to Arctic data. This approach should provide easy integration with the H2020 Open Research Data Pilot, and ensure data access to a variety of stakeholders (e.g. ESA DUE, GlobPermafrost, etc.). The initial data management effort focuses on discovery metadata, utilizing internationally accepted standards, protocols and vocabularies, ensuring the interoperability with international systems and frameworks, and the preservation of scientific legacy. Datasets will be documented using the Global Change Master Directory/Directory Interchange Format or ISO19115 standards. To provide interoperability at the data level, long term archival of data across different national repositories with long term mandates in self-explaining file formats (e.g. NetCDF, HDF/HDF5) is envisioned eventually. Therefore, our goal is to establish a unified approach to metadata and data generated by stations in the INTERACT network. This will be beneficial for scientific purposes, but also for monitoring activities. The latter is particularly important as Arctic monitoring to a large degree rely on the effort of the scientific community

Dosimetry of ⁶⁴Cu-DOTA-AE105, a PET tracer for uPAR imaging

Abstract64Cu-DOTA-AE105 is a novel positron emission tomography (PET) tracer specific to the human urokinase-type plasminogen activator receptor (uPAR). In preparation of using this tracer in humans, as a new promising method to distinguish between indolent and aggressive cancers, we have performed PET studies in mice to evaluate the in vivo biodistribution and estimate human dosimetry of 64Cu-DOTA-AE105.MethodsFive mice received iv tail injection of 64Cu-DOTA-AE105 and were PET/CT scanned 1, 4.5 and 22h post injection. Volume-of-interest (VOI) were manually drawn on the following organs: heart, lung, liver, kidney, spleen, intestine, muscle, bone and bladder. The activity concentrations in the mentioned organs [%ID/g] were used for the dosimetry calculation. The %ID/g of each organ at 1, 4.5 and 22h was scaled to human value based on a difference between organ and body weights. The scaled values were then exported to OLINDA software for computation of the human absorbed doses. The residence times as well as effective dose equivalent for male and female could be obtained for each organ. To validate this approach, of human projection using mouse data, five mice received iv tail injection of another 64Cu-DOTA peptide-based tracer, 64Cu-DOTA-TATE, and underwent same procedure as just described. The human dosimetry estimates were then compared with observed human dosimetry estimate recently found in a first-in-man study using 64Cu-DOTA-TATE.ResultsHuman estimates of 64Cu-DOTA-AE105 revealed the heart wall to receive the highest dose (0.0918mSv/MBq) followed by the liver (0.0815mSv/MBq), All other organs/tissue were estimated to receive doses in the range of 0.02–0.04mSv/MBq. The mean effective whole-body dose of 64Cu-DOTA-AE105 was estimated to be 0.0317mSv/MBq. Relatively good correlation between human predicted and observed dosimetry estimates for 64Cu-DOTA-TATE was found. Importantly, the effective whole body dose was predicted with very high precision (predicted value: 0.0252mSv/Mbq, Observed value: 0.0315mSv/MBq) thus validating our approach for human dosimetry estimation.ConclusionFavorable dosimetry estimates together with previously reported uPAR PET data fully support human testing of 64Cu-DOTA-AE105

Monoclonal antibodies targeting the disintegrin-like domain of ADAMDEC1 modulates the proteolytic activity and enables quantification of ADAMDEC1 protein in human plasma

Decysin-1 (ADAMDEC1) is an orphan ADAM-like metalloprotease with unknown biological function and a short domain structure. ADAMDEC1 mRNA has previously been demonstrated primarily in macrophages and mature dendritic cells. Here, we generated monoclonal antibodies (mAbs) against the mature ADAMDEC1 protein, as well as mAbs specific for the ADAMDEC1 pro-form, enabling further investigations of the metalloprotease. The generated mAbs bind ADAMDEC1 with varying affinity and represent at least six different epitope bins. Binding of mAbs to one epitope bin in the C-terminal disintegrin-like domain efficiently reduces the proteolytic activity of ADAMDEC1. A unique mAb, also recognizing the disintegrin-like domain, stimulates the caseinolytic activity of ADAMDEC1 while having no significant effect on the proteolysis of carboxymethylated transferrin. Using two different mAbs binding the disintegrin-like domain, we developed a robust, quantitative sandwich ELISA and demonstrate secretion of mature ADAMDEC1 protein by primary human macrophages. Surprisingly, we also found ADAMDEC1 present in human plasma with an approximate concentration of 0.5 nM. The presence of ADAMDEC1 both in human plasma and in macrophage cell culture supernatant were biochemically validated using immunoprecipitation and Western blot analysis demonstrating that ADAMDEC1 is secreted in a mature form

Hydroclimatic Controls on the Isotopic (δ18 O, δ2 H, d-excess) Traits of Pan-Arctic Summer Rainfall Events

Arctic sea-ice loss is emblematic of an amplified Arctic water cycle and has critical feedback implications for global climate. Stable isotopes (delta O-18, delta H-2, d-excess) are valuable tracers for constraining water cycle and climate processes through space and time. Yet, the paucity of well-resolved Arctic isotope data preclude an empirically derived understanding of the hydrologic changes occurring today, in the deep (geologic) past, and in the future. To address this knowledge gap, the Pan-Arctic Precipitation Isotope Network (PAPIN) was established in 2018 to coordinate precipitation sampling at 19 stations across key tundra, subarctic, maritime, and continental climate zones. Here, we present a first assessment of rainfall samples collected in summer 2018 (n = 281) and combine new isotope and meteorological data with sea ice observations, reanalysis data, and model simulations. Data collectively establish a summer Arctic Meteoric Water Line where delta H-2 = 7.6.delta O-18-1.8 (r(2) = 0.96, p 0.75 parts per thousand/degrees C) were observed at continental sites, while statistically significant temperature relations were generally absent at coastal stations. Model outputs indicate that 68% of the summer precipitating air masses were transported into the Arctic from mid-latitudes and were characterized by relatively high delta O-18 values. Yet 32% of precipitation events, characterized by lower delta O-18 and high d-excess values, derived from northerly air masses transported from the Arctic Ocean and/or its marginal seas, highlighting key emergent oceanic moisture sources as sea ice cover declines. Resolving these processes across broader spatial-temporal scales is an ongoing research priority, and will be key to quantifying the past, present, and future feedbacks of an amplified Arctic water cycle on the global climate system

Social Movements and International Relations: A Relational Framework

Social movements are increasingly recognized as significant features of contemporary world politics, yet to date their treatment in international relations theory has tended to obfuscate the considerable diversity of these social formations, and the variegated interactions they may establish with state actors and different structures of world order. Highlighting the difficulties conventional liberal and critical approaches have in transcending conceptions of movements as moral entities, the article draws from two under-exploited literatures in the study of social movements in international relations, the English School and Social Systems Theory, to specify a wider range of analytical interactions between different categories of social movements and of world political structures. Moreover, by casting social movement phenomena as communications, the article opens international relations to consideration of the increasingly diverse trajectories and second-order effects produced by social movements as they interact with states, intergovernmental institutions, and transnational actors

25th annual computational neuroscience meeting: CNS-2016

The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variability is likely to play a major role the delivery of the functionality of neural systems, it is difficult to study it in most nervous systems. We work on the pyloric rhythm network of the crustacean stomatogastric ganglion (STG) [2]. Typically network models of the STG treat neurons of the same functional type as a single model neuron (e.g. PD neurons), assuming the same conductance parameters for these neurons and implying their synchronous firing [3, 4]. However, simultaneous recording of PD neurons shows differences between the timings of spikes of these neurons. This may indicate functional variability of these neurons. Here we modelled separately the two PD neurons of the STG in a multi-neuron model of the pyloric network. Our neuron models comply with known correlations between conductance parameters of ionic currents. Our results reproduce the experimental finding of increasing spike time distance between spikes originating from the two model PD neurons during their synchronised burst phase. The PD neuron with the larger calcium conductance generates its spikes before the other PD neuron. Larger potassium conductance values in the follower neuron imply longer delays between spikes, see Fig. 17.Neuromodulators change the conductance parameters of neurons and maintain the ratios of these parameters [5]. Our results show that such changes may shift the individual contribution of two PD neurons to the PD-phase of the pyloric rhythm altering their functionality within this rhythm. Our work paves the way towards an accessible experimental and computational framework for the analysis of the mechanisms and impact of functional variability of neurons within the neural circuits to which they belong