European Geosciences Union
General Assembly 2015
Vienna | Austria | 12 – 17 April 2015

http://www.egu2015.eu/home.html

One Workshop partiicluarly relevant for EU BON: ESSI2.17 Aggregation, consolidation and coordination of Earth observation networks. Harmonization and gaps

Convener: Joan Masó
Co-Convener: Ivette Serral

Abstract
We are investing in many efforts in creating pan-European or global EO thematic networks but are managed independently and coordination between them is limited. Europe is investing in the Sentinel constellation an at the same time, several initiatives are setting out to create, maintain and operationalize networks of in-situ sensors. These observation networks are usually conceived with a specific purpose in mind (e.g., air quality monitoring in the main cities or coastal water contamination), and they often lack a general coverage, are scattered irregularly in the territory, and sometimes are removed when the measurement campaign ends. There is a need for integrating systems and coordinating them more efficiently, explore synergies and make progress in harmonized and extend them.
Some initiatives aim to coordinate several themes into a single observation set. This is the case of the Critical Zone Exploration (the Earth’s outer layer from vegetation canopy to the soil and groundwater that sustains human life). The CZEN (Critical Zone Exploration Network; http://www.czen.org) is a network of field sites investigating processes within the Critical Zone.

This session is asking for presentations on the coordination between observation network examples and solutions to overcome technical and political barriers that help to reduce the cost and increase value by combining and sharing structures. Papers discussing gaps or redundancies in the current Earth observation networks are also welcome.

http://meetingorganizer.copernicus.org/EGU2015/session/18560

The structures of the simplest symmetric primary ethers [(CnH2n+1)2O, n = 1–3] determined under high pressure revealed their conformational preferences and intermolecular interactions. In three new polymorphs of di­ethyl ether (C2H5)2O, high pressure promotes intermolecular CH⋯O contacts and enforces a conversion from the trans–trans conformer present in the α, β and γ phases to the trans–gauche conformer, which is higher in energy by 6.4 kJ mol−1, in the δ phase. Two new polymorphs of di­methyl ether (CH3)2O display analogous transformations of the CH⋯O bonds. The crystal structure of di-n-propyl ether (C3H7)2O, determined for the first time, is remarkably stable over the whole pressure range investigated from 1.70 up to 5.30 GPa.

With news items such How the Trump Whale Correctly Called the Election and Prediction markets got Trump’s victory right; Betting markets predicted a Trump victory, while traditional polls were showing a tossup, prediction markets are having their coming-out party. Before … Continue reading →

Frederic Heihoff
Proc. Amer. Math. Soc. 152 (), 5229-5247.
Abstract, references and article information

The recent structural elucidation of ex vivo Drosophila Orb2 fibrils revealed a novel amyloid formed by interdigitated Gln and His residue side chains belonging to the prion-like domain. However, atomic-level details on the conformational transitions associated with memory consolidation remain unknown. Here, we have characterized the nascent conformation and dynamics of the prion-like domain (PLD) of Orb2A using a nonconventional liquid-state NMR spectroscopy strategy based on 13C detection to afford an essentially complete set of 13Cα, 13Cβ, 1Hα, and backbone 13CO and 15N assignments. At pH 4, where His residues are protonated, the PLD is disordered and flexible, except for a partially populated α-helix spanning residues 55–60, and binds RNA oligos, but not divalent cations. At pH 7, in contrast, His residues are predominantly neutral, and the Q/H segments adopt minor populations of helical structure, show decreased mobility and start to self-associate. At pH 7, the His residues do not bind RNA or Ca2+, but do bind Zn2+, which promotes further association. These findings represent a remarkable case of structural plasticity, based on which an updated model for Orb2A functional amyloidogenesis is suggested.

Yi Liu
Dec 1, 2020; 19:1968-1985
Research

Mallory-Denk-bodies (MDBs) are hepatic protein aggregates associated with inflammation both clinically and in MDB-inducing models. Similar protein aggregation in neurodegenerative diseases also triggers inflammation and NF-B activation. However, the precise mechanism that links protein aggregation to NF-B-activation and inflammatory response remains unclear. Herein we find that treating primary hepatocytes with MDB-inducing agents (N-methylprotoporphyrin (NMPP), protoporphyrin IX (PPIX), or Zinc-protoporphyrin IX (ZnPP)) elicited an IBα-loss with consequent NF-B activation. Four known mechanisms of IBα-loss i.e. the canonical ubiquitin-dependent proteasomal degradation (UPD), autophagic-lysosomal degradation, calpain degradation and translational inhibition, were all probed and excluded. Immunofluorescence analyses of ZnPP-treated cells coupled with 8 M urea/CHAPS-extraction revealed that this IBα-loss was due to its sequestration along with IBβ into insoluble aggregates, thereby releasing NF-B. Through affinity pulldown, proximity biotinylation by antibody recognition, and other proteomic analyses, we verified that NF-B subunit p65, which stably interacts with IBα under normal conditions, no longer binds to it upon ZnPP-treatment. Additionally, we identified 10 proteins that interact with IBα under baseline conditions, aggregate upon ZnPP-treatment, and maintain the interaction with IBα after ZnPP-treatment, either by cosequestering into insoluble aggregates or through a different mechanism. Of these 10 proteins, the nucleoporins Nup153 and Nup358/RanBP2 were identified through RNA-interference, as mediators of IBα-nuclear import. The concurrent aggregation of IBα, NUP153, and RanBP2 upon ZnPP-treatment, synergistically precluded the nuclear entry of IBα and its consequent binding and termination of NF-B activation. This novel mechanism may account for the protein aggregate-induced inflammation observed in liver diseases, thus identifying novel targets for therapeutic intervention. Because of inherent commonalities this MDB cell model is a bona fide protoporphyric model, making these findings equally relevant to the liver inflammation associated with clinical protoporphyria.

Many RNA-binding proteins (RBPs) contain low-complexity domains (LCDs) with prion-like compositions. These long intrinsically disordered regions regulate their solubility, contributing to their physiological roles in RNA processing and organization. However, this also makes these RBPs prone to pathological misfolding and aggregation that are characteristic of neurodegenerative diseases. For example, TAR DNA-binding protein 43 (TDP-43) forms pathological aggregates associated with amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD). While molecular chaperones are well-known suppressors of these aberrant events, we recently reported that highly disordered, hydrophilic, and charged heat-resistant obscure (Hero) proteins may have similar effects. Specifically, Hero proteins can maintain the activity of other proteins from denaturing conditions in vitro, while their overexpression can suppress cellular aggregation and toxicity associated with aggregation-prone proteins. However, it is unclear how these protective effects are achieved. Here, we used single-molecule FRET to monitor the conformations of the aggregation-prone prion-like LCD of TDP-43. While we observed high conformational heterogeneity in wild-type LCD, the ALS-associated mutation A315T promoted collapsed conformations. In contrast, an Hsp40 chaperone, DNAJA2, and a Hero protein, Hero11, stabilized extended states of the LCD, consistent with their ability to suppress the aggregation of TDP-43. Our results link single-molecule effects on conformation to macro effects on bulk aggregation, where a Hero protein, like a chaperone, can maintain the conformational integrity of a client protein to prevent its aggregation.

National Bureau of Economic Research

We study SLE$_{kappa}$ theory with elements of Quasi-Sure Stochastic Analysis through Aggregation. Specifically, we show how the latter can be used to construct the SLE$_{kappa}$ traces quasi-surely (i.e. simultaneously for a family of probability measures with certain properties) for $kappa in mathcal{K}cap mathbb{R}_+ setminus ([0, epsilon) cup {8})$, for any $epsilon>0$ with $mathcal{K} subset mathbb{R}_{+}$ a nontrivial compact interval, i.e. for all $kappa$ that are not in a neighborhood of zero and are different from $8$. As a by-product of the analysis, we show in this language a version of the continuity in $kappa$ of the SLE$_{kappa}$ traces for all $kappa$ in compact intervals as above.

The present invention relates to compounds suitable as modulators of protein misfolding and/or protein aggregation. The compounds are particularly suitable as inhibitors of amyloid aggregate formation and/or modulators of amyloid surface properties, and/or as activators of degradation or reduction of amyloid aggregates.

The Virtual Aggregation Processor enables end user devices to share a common wireless forward path of a multicast communication architecture in which the forward path delivered content is dynamically changed or modified based on a real-time, near-real-time, or delay-time basis via aggregated reverse path feedback from at least one of a plurality of end user devices. The Virtual Aggregation Processor periodically or continuously aggregates the feedback input received via the reverse path (having wired and/or wireless connectivity), modifies the forward path multi-media content, and delivers this dynamically modified multi-media content to the then connected population of end user devices via a wireless forward path multicast in a repetitive closed loop fashion.

A method, an apparatus, and a computer program product for wireless communication are provided in which a UE is equipped to generate an expression associated with a wireless device for use in a peer discovery signal, generate an expression set from the expression, a first temporal frequency, and a first time duration, and transmit the generated expression set to a base station to allow the base station to broadcast each of the expressions included in the expression set at the first temporal frequency over the first time duration. Another method, apparatus, and computer program product for wireless communication are provided in which a base station is equipped to receive an expression set from a wireless device, process the received expression set to determine each of one or more instances of an expression, and transmit each of the one or more instances of the expression.

Methods, systems, and apparatus for aggregating electric power flow between an electric grid and electric vehicles are disclosed. An apparatus for aggregating power flow may include a memory and a processor coupled to the memory to receive electric vehicle equipment (EVE) attributes from a plurality of EVEs, aggregate EVE attributes, predict total available capacity based on the EVE attributes, and dispatch at least a portion of the total available capacity to the grid. Power flow may be aggregated by receiving EVE operational parameters from each EVE, aggregating the received EVE operational parameters, predicting total available capacity based on the aggregated EVE operational parameters, and dispatching at least a portion of the total available capacity to the grid.

An electronic device modifies a schedule of communication frequencies (such as an orthogonal frequency division multiplexing access schedule) by changing the times when subcarriers are used for communication with a set of electronic devices in order to cluster subsets of the set of electronic devices. This clustering may leave the throughput associated with the communication at least approximately unchanged. Then, the electronic device selects, for the subsets, transmit antenna radiation patterns and receive antenna radiation patterns in order to increase the throughputs during transmission and/or receiving.

Rank aggregation based on a Markov model is disclosed. One example is a system including a query processor, at least two information retrievers, a Markov model, and an evaluator. The query processor receives a query via a processing system. Each of the at least two information retrievers retrieves a plurality of document categories responsive to the query, each of the plurality of document categories being at least partially ranked. The Markov model generates a Markov process based on the at least partial rankings of the respective plurality of document categories. The evaluator determines, via the processing system, an aggregate ranking for the plurality of document categories, the aggregate ranking based on a probability distribution of the Markov process.

Bradley and Karen discuss Conservancy's Debian Copyright Aggregation project. (Note: While it was released just after DebConf16, this episode was recorded well before DebConf16; the discussions about DebConf refer to DebConf15.)

Show Notes:

Segment 0 (00:38)

Note: While it was released just after DebConf16, this episode was recorded well before DebConf16; the discussions about DebConf refer to DebConf15.

• Bradley mentioned his talk at DebConf. This was recorded before DebConf 16, so Bradley is talking about DebConf 15, which was summarized in this blog post and his keynote from DebConf15. A video of that talk is available. (02:00)
• Bradley mentioned this bug about the copyright notice on the Debian website (07:47)
• Ian Jackson asked about bequeathing copyright at Bradley's talk. (15:45)

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The content of this audcast, and the accompanying show notes and music are licensed under the Creative Commons Attribution-Share-Alike 4.0 license (CC BY-SA 4.0).

South Australia's Treasurer announces the Government will lower the land tax rate by more than planned but will continue with its controversial plan to raise more money from large property owners.

(University of Massachusetts Amherst) As physicians and families know too well, though Alzheimer's disease has been intensely studied for decades, too much is still not known about molecular processes in the brain that cause it. Now researchers at the University of Massachusetts Amherst say new insights from analytic theory and molecular simulation techniques offer a better understanding of amyloid fibril growth and brain pathology.

Disaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response data. By including high resolution covariate information and modelling the data generating process on a fine scale, it is hoped that these models can accurately learn the relationships between covariates and response at a fine spatial scale. However, validating these high resolution predictions can be a challenge, as often there is no data observed at this spatial scale. In this study, disaggregation regression was performed on simulated data in various settings and the resulting fine-scale predictions are compared to the simulated ground truth. Performance was investigated with varying numbers of data points, sizes of aggregated areas and levels of model misspecification. The effectiveness of cross validation on the aggregate level as a measure of fine-scale predictive performance was also investigated. Predictive performance improved as the number of observations increased and as the size of the aggregated areas decreased. When the model was well-specified, fine-scale predictions were accurate even with small numbers of observations and large aggregated areas. Under model misspecification predictive performance was significantly worse for large aggregated areas but remained high when response data was aggregated over smaller regions. Cross-validation correlation on the aggregate level was a moderately good predictor of fine-scale predictive performance. While the simulations are unlikely to capture the nuances of real-life response data, this study gives insight into the effectiveness of disaggregation regression in different contexts.

In the field of numerical weather prediction (NWP), the probabilistic distribution of the future state of the atmosphere is sampled with Monte-Carlo-like simulations, called ensembles. These ensembles have deficiencies (such as conditional biases) that can be corrected thanks to statistical post-processing methods. Several ensembles exist and may be corrected with different statistiscal methods. A further step is to combine these raw or post-processed ensembles. The theory of prediction with expert advice allows us to build combination algorithms with theoretical guarantees on the forecast performance. This article adapts this theory to the case of probabilistic forecasts issued as step-wise cumulative distribution functions (CDF). The theory is applied to wind speed forecasting, by combining several raw or post-processed ensembles, considered as CDFs. The second goal of this study is to explore the use of two forecast performance criteria: the Continous ranked probability score (CRPS) and the Jolliffe-Primo test. Comparing the results obtained with both criteria leads to reconsidering the usual way to build skillful probabilistic forecasts, based on the minimization of the CRPS. Minimizing the CRPS does not necessarily produce reliable forecasts according to the Jolliffe-Primo test. The Jolliffe-Primo test generally selects reliable forecasts, but could lead to issuing suboptimal forecasts in terms of CRPS. It is proposed to use both criterion to achieve reliable and skillful probabilistic forecasts.

Yi Shen, Yizao Wang.

Source: Bernoulli, Volume 26, Number 1, 500--530.

Abstract:
We propose an aggregated random-field model, and investigate the scaling limits of the aggregated partial-sum random fields. In this model, each copy in the aggregation is a $pm 1$-valued random field built from two correlated one-dimensional random walks, the law of each determined by a random persistence parameter. A flexible joint distribution of the two parameters is introduced, and given the parameters the two correlated random walks are conditionally independent. For the aggregated random field, when the persistence parameters are independent, the scaling limit is a fractional Brownian sheet. When the persistence parameters are tail-dependent, characterized in the framework of multivariate regular variation, the scaling limit is more delicate, and in particular depends on the growth rates of the underlying rectangular region along two directions: at different rates different operator-scaling Gaussian random fields appear as the region area tends to infinity. In particular, at the so-called critical speed, a large family of Gaussian random fields with long-range dependence arise in the limit. We also identify four different regimes at non-critical speed where fractional Brownian sheets arise in the limit.

BCBS Press release "Basel Committee issues progress report on banks' implementation of the 'Principles for effective risk data aggregation and reporting'", 29 April 2020

This report outlines the progress made by banks in implementing the Basel Committee's Principles for effective risk data aggregation and risk reporting ("the Principles" or "BCBS 239")1 based on supervisors' assessments conducted in 2019.

Antimicrobial peptides and proteins play critical roles in the host defense against invading pathogens. We recently discovered that recombinantly expressed human and mouse serum amyloid A1 (rhSAA1 and rmSAA1) proteins have potent antifungal activities against the major human fungal pathogen Candida albicans. At high concentrations, rhSAA1 disrupts C. albicans membrane integrity and induces rapid fungal cell death. In the current study, we find that rhSAA1 promotes cell aggregation and targets the C. albicans cell wall adhesin Als3. Inactivation of ALS3 in C. albicans leads to a striking decrease in cell aggregation and cell death upon rhSAA1 treatment, suggesting that Als3 plays a critical role in SAA1 sensing. We further demonstrate that deletion of the transcriptional regulators controlling the expression of ALS3, such as AHR1, BCR1, and EFG1 in C. albicans results in similar effects to that of the als3/als3 mutant upon rhSAA1 treatment. Global gene expression profiling indicates that rhSAA1 has a discernible impact on the expression of cell wall- and metabolism-related genes, suggesting that rhSAA1 treatment could lead to a nutrient starvation effect on C. albicans cells.