cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
L-Arginine Ameliorates Defective Autophagy in GM2 Gangliosidoses by mTOR Modulation
Creators: name: Castejón-Vega, Beatriz
name: Rubio, Alejandro
name: Pérez-Pulido, Antonio J.
name: Quiles, José L.
name: Lane, Jon D.
name: Fernández-Domínguez, Beatriz
name: Cachón-González, María Begoña
name: Martín-Ruiz, Carmen
name: Sanz, Alberto
name: Cox, Timothy M.
name: Alcocer-Gómez, Elísabet
name: Cordero, Mario D.
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: autophagy
mTOR
GM2 gangliosidosis
L-arginine

description: Aims: Tay–Sachs and Sandhoff diseases (GM2 gangliosidosis) are autosomal recessive disorders of lysosomal function that cause progressive neurodegeneration in infants and young children. Impaired hydrolysis catalysed by β-hexosaminidase A (HexA) leads to the accumulation of GM2 ganglioside in neuronal lysosomes. Despite the storage phenotype, the role of autophagy and its regulation by mTOR has yet to be explored in the neuropathogenesis. Accordingly, we investigated the effects on autophagy and lysosomal integrity using skin fibroblasts obtained from patients with Tay–Sachs and Sandhoff diseases. Results: Pathological autophagosomes with impaired autophagic flux, an abnormality confirmed by electron microscopy and biochemical studies revealing the accelerated release of mature cathepsins and HexA into the cytosol, indicating increased lysosomal permeability. GM2 fibroblasts showed diminished mTOR signalling with reduced basal mTOR activity. Accordingly, provision of a positive nutrient signal by L-arginine supplementation partially restored mTOR activity and ameliorated the cytopathological abnormalities. Innovation: Our data provide a novel molecular mechanism underlying GM2 gangliosidosis. Impaired autophagy caused by insufficient lysosomal function might represent a new therapeutic target for these diseases. Conclusions: We contend that the expression of autophagy/lysosome/mTOR-associated molecules may prove useful peripheral biomarkers for facile monitoring of treatment of GM2 gangliosidosis and neurodegenerative disorders that affect the lysosomal function and disrupt autophagy.
The neighborhood of the Spike gene is a hotspot for modular intertypic homologous and non-homologous recombination in Coronavirus genomes.
Creators: name: Nikolaidis, Marios
name: Markoulatos, Panayotis
name: Van De Peer, Yves
name: Oliver, Stephen G
name: Amoutzias, Grigorios D
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021

description: Coronaviruses (CoVs) have very large RNA viral genomes with a distinct genomic architecture of core and accessory open reading frames (ORFs). It is of utmost importance to understand their patterns and limits of homologous and non-homologous recombination, because such events may affect the emergence of novel CoV strains, alter their host range, infection rate, tissue tropism pathogenicity, and their ability to escape vaccination programs. Intratypic recombination among closely related CoVs of the same subgenus has often been reported; however, the patterns and limits of genomic exchange between more distantly related CoV lineages (intertypic recombination) needs further investigation. Here, we report computational/evolutionary analyses that clearly demonstrate a substantial ability for CoVs of different subgenera to recombine. Furthermore, we show that CoVs can obtain-through non-homologous recombination-accessory ORFs from core ORFs, exchange accessory ORFs with different CoV genera, with other viruses (i.e., toroviruses, influenza C/D, reoviruses, rotaviruses, astroviruses) and even with hosts. Intriguingly, most of these radical events result from double-crossovers surrounding the Spike ORF, thus highlighting both the instability and mobile nature of this genomic region. While many such events have often occurred during the evolution of various CoVs, the genomic architecture of the relatively young SARS-CoV/SARS-CoV-2 lineage so far appears to be stable.
Distribution System Operators, Platforms and Markets
Creators: A. IPAKCHI
M. SHAHIDEHPOUR
L. KRISTOV
A. RENJIT
Publisher: name: IEEE
Year: 2021

Distribution System Operators, Platforms and Markets
The electric industry landscape is changing due to a number of factors including increasing penetration of variable energy resources (VER) at the bulk power system level and distributed energy resources (DERs) at the grid edge. New players are emerging on the scene including prosumers, Aggregators, Community Choice Aggregations (CCAs), microgrid operators, just to name a few. As a result the traditional interactions and interfaces of distribution system operation are changing, vis-à-vis the consumers on the one hand, and with the bulk power/transmission/wholesale market operations on the other. This is leading to expansion of the traditional role and responsibilities of distribution operation, and the need for new processes, procedures, tools and regulatory frameworks to support and structure the emerging high-DER distribution system. The term Distribution System Operator (DSO) is often used to refer to the entity responsible for management of the emerging distribution system under a regulatory framework that facilitates robust distribution-level markets, including peer-to-peer, peer-to-market and third-party (e.g., aggregator) transactive exchanges. The term Distribution System Platform (DSP) is used for the associated hardware/software/communication infrastructure needed for DSO operations.
Artificial Intelligence/Machine Learning (AI/ML) for Power System Resilience
Creators: Q. HUANG
A. XAVIER
Z. WANG
Y. XIE
Y. ZHANG
Publisher: name: IEEE
Year: 2021

2021 ISGT NA Panel Presentation
AI/ML has been extremely successful in a number of areas, such as image processing. In power systems, AI/ML has been applied in load/renewable forecasting, intrusion detection, customer behavior analysis, etc. This panel will focus on how AI/ML can leveraged for power system situational awareness and resilience, which is especially challenging due to the low probability and high impact of the events concerning system resilience. We will discuss how AI/ML can be utilized to improve the core capabilities of system resilience, including situational awareness, preparedness, responsiveness, and recovery. AI/ML with real-world data and cutting-edge techniques will be discussed. We hope this panel discussion can help audience better understand the roles of AI/ML can play in enhancing system resilience in a systematic way.
Pseudouroplectes Lourenco 1995
Creators: name: Lourenco, Wilson
name: Ythier, Eric
Publisher: name: Zenodo
Year: 2010
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Scorpiones
Buthidae
Pseudouroplectes

description: Key to the known species of Pseudouroplectes 1. Pale scorpions, yellowish to reddish-yellow, with or without spots.............. 2 – Dark scorpions with confluent blackish spots over the body and appendages...........................................................................................  P. maculatus (Fig. 2) 2. Coloration yellowish without any spots; pectinal tooth count 18/20..............................................................................................  P. betschi (Figs 9–10) – Coloration yellowish with two or four longitudinal reddish-brown stripes over the tergites; pectinal tooth count 14/16.............................................. 3 3. Two longitudinal brownish stripes over the tergites; carapace, pedipalps and metasomal segments without spots........................  P. pidgeoni (Figs 11–12) – Four longitudinal brownish stripes over the tergites; carapace, pedipalps and metasomal segments strongly spotted.......................  P. lalyae sp. n. (Fig. 1)
description: Published as part of Lourenco, Wilson & Ythier, Eric, 2010, Another new species of Pseudouroplectes Lourenço, 1995 from Madagascar (Scorpiones, Buthidae), pp. 1-9 in ZooKeys 48 (48) on page 6, DOI: 10.3897/zookeys.48.448, http://zenodo.org/record/576668
Slides: Power Quality in Smart Grid/Microgrid
Creators: Mahendra Chilukuri
Publisher: name: IEEE
Year: 2021

Slides for Webinar Power Quality in Smart Grid/Microgrid
Power quality (PQ) is very important to ICT industry, Data Centres and Digital Transformation. Recently, there is an increase Renewable Energy  (RE) penetration into the grid, Electrification of Transportation sector through increase in use of Electric Vehicles (EV) and EV Charging stations in the distribution system to reduce carbon emission. This requires more attention to Power Quality as RE and EV integration in distribution brings more PQ issues such as Supraharmonics, Voltage Flicker and Voltage Distortion. Study of the power quality phenomenon in the Smart Grid requires advanced signal processing methods both for measurement and analysis. The application of Time-Frequency Analysis and Machine Learning for the study of power quality and diagnostics will become more essential than ever. This webinar will discuss the future of Power Quality in Smart Grid and revision of IEEE PQ standard 1159.
Societal and equity challenges for Brain Health Services. A user manual for Brain Health Services-part 6 of 6.
Creators: name: Milne, Richard
name: Altomare, Daniele
name: Ribaldi, Federica
name: Molinuevo, José Luis
name: Frisoni, Giovanni B
name: Brayne, Carol
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: Aging
Prevention
Alzheimer’s disease
Dementia
Public Health
Equity
Brain Health Services

description: Brain Health Services are a novel approach to the personalized prevention of dementia. In this paper, we consider how such services can best reflect their social, cultural, and economic context and, in doing so, deliver fair and equitable access to risk reduction. We present specific areas of challenge associated with the social context for dementia prevention. The first concentrates on how Brain Health Services engage with the "at-risk" individual, recognizing the range of factors that shape an individual's risk of dementia and the efficacy of risk reduction measures. The second emphasizes the social context of Brain Health Services themselves and their ability to provide equitable access to risk reduction. We then elaborate proposals for meeting or mitigating these challenges. We suggest that considering these challenges will enable Brain Health Services to address two fundamental questions: the balance between an individualized "high-risk" and population focus for public health prevention and the ability of services to meet ethical standards of justice and health equity.
Top-antitop and Top-top Resonances in the Dilepton Channel at the CERN LHC
Creators: name: Bai, Yang
name: Han, Zhenyu
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We perform a model-independent study for top-antitop and top-top resonances in the dilepton channel at the Large Hadtron Collider. In this channel, we can solve the kinematic system to obtain the momenta of all particles including the two neutrinos, and hence the resonance mass and spin. For discovering top-antitop resonances, the dilepton channel is competitive to the semileptonic channel because of the good resolution of lepton momentum measurement and small standard model backgrounds. Moreover, the charges of the two leptons can be identified, which makes the dilepton channel advantageous for discovering top-top resonances and for distinguishing resonance spins. We discuss and provide resolutions for difficulties associated with heavy resonances and highly boosted top quarks.
description: Small revision in spin measurements; minor changes; conclusion unchanged; version to appear in JHEP
Die Geschichte als Ankunft
Creators: name: Farge, Arlette
name: Steurer-Boulard, Richard
Publisher: name: Österreichische Zeitschrift für Geschichtswissenschaften
Year: 2016

description: Österreichische Zeitschrift für Geschichtswissenschaften, Bd. 27 Nr. 1 (2016): Apropos Rancière
Inflammatory neuronal loss in the substantia nigra induced by systemic lipopolysaccharide is prevented by knockout of the P2Y6 receptor in mice.
Creators: name: Milde, Stefan
name: Van Tartwijk, Francesca W
name: Vilalta, Anna
name: Hornik, Tamara C
name: Dundee, Jacob M
name: Puigdellívol, Mar
name: Brown, Guy C
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: Phagocytosis
Cell death
Neurodegeneration
Microglia
neuroinflammation
Parkinson’s Disease
Phagoptosis
P2y6r

description: Inflammation may contribute to multiple brain pathologies. One cause of inflammation is lipopolysaccharide/endotoxin (LPS), the levels of which are elevated in blood and/or brain during bacterial infections, gut dysfunction and neurodegenerative diseases, such as Parkinson's disease. How inflammation causes neuronal loss is unclear, but one potential mechanism is microglial phagocytosis of neurons, which is dependent on the microglial P2Y6 receptor. We investigated here whether the P2Y6 receptor was required for inflammatory neuronal loss. Intraperitoneal injection of LPS on 4 successive days resulted in specific loss of dopaminergic neurons (measured as cells staining with tyrosine hydroxylase or NeuN) in the substantia nigra of wild-type mice, but no neuronal loss in cortex or hippocampus. This supports the hypothesis that neuronal loss in Parkinson's disease may be driven by peripheral LPS. By contrast, there was no LPS-induced neuronal loss in P2Y6 receptor knockout mice. In vitro, LPS-induced microglial phagocytosis of cells was prevented by inhibition of the P2Y6 receptor, and LPS-induced neuronal loss was reduced in mixed glial-neuronal cultures from P2Y6 receptor knockout mice. This supports the hypothesis that microglial phagocytosis contributes to inflammatory neuronal loss, and can be prevented by blocking the P2Y6 receptor, suggesting that P2Y6 receptor antagonists might be used to prevent inflammatory neuronal loss in Parkinson's disease and other brain pathologies involving inflammatory neuronal loss.
Grid Edge Measurements to Improve Distribution System Modeling and Analysis
Creators: S. GRIJALVA
N. YU
Publisher: name: IEEE
Year: 2021

2021 ISGT NA Panel Presentation
New sensor measurements such as advanced metering infrastructure (AMI) and distribution phasor measurement unit (PMU) provide an unprecedented level of insight into the distribution system. These measurements from the grid edge provide large quantities of data that can facilitate a variety of use cases. Use cases include model validation/correction such as phase identification, meter to transformer pairing, and topology reconfiguration detection, behind-the-meter analysis such as PV parameter estimation and load disaggregation, control opportunities, and system analysis. Research continues to determine what analysis is possible with grid edge measurements, what the data requirements are for different applications, and what concerns there may be, such as privacy, related to the collection of customer data. The panel will bring together speakers from industry and academia to share their perspectives on the applications of grid edge data and present a selection of state-of-the-art techniques for harnessing the Big Data from emerging data streams for distribution system modeling and analysis.
Enhancing Grid Resilience Through Advanced Grid Sensor and Analytics Tools
Creators: J. TAFT
S. KUNDU
A. REIMANN
Publisher: name: IEEE
Year: 2021

2021 ISGT NA Panel Presentation
The nation’s electric power system is undergoing a transformation driven by multiple factors including integration of distributed energy resources (DERs), a shift to more variable renewable power generation, greater availability of energy storage, and aging infrastructure. The result is an increasingly complex and dynamic grid where grid operators require greater visibility and coordination across all levels of the power system spanning transmission, distribution, distributed resources, and behind-the-meter assets. At the same time, natural and man-made threats to the power system have multiplied challenging the resiliency of the grid. Many strategies to offer enhanced resiliency when the grid is fragmented due to a severe event depend on local coordination of distributed resources such as networked microgrids. Maintaining the stability and resiliency of this dynamic grid requires access to advanced sensor data where and when it is needed.
2021 PES ISGT NA Tutorial Series: NI4AI Workshop on PMU and Time Series Data Analysis at Scale, Session 2: Artificial Intelligence and the Grid (slides)
Creators: Sean Murphy
Chris Ryan
Mohini Bariya
Publisher: name: IEEE
Year: 2021

This multiple session tutorial is designed to train researchers and practitioners to begin analyzing synchrophasor (i.e., PMU) and point on wave data. The course covers concepts from power engineering and data science, and will show attendees how to develop efficient workflows for analyzing and visualizing time series data at scale. The first day of the course will cover foundational concepts from power systems engineering, and will relate PMU data to physical properties of the grid. The session will discuss phasor calculation, and methods for using phasor data to compute frequency. We will close with a summary of best practices and lessons learned from using PMU data in industry. The second day will teach attendees how to develop fast and efficient AI/ML workflows. Panelists will step through code they’ve developed to analyze time series grid data for applications in data science and engineering. The tutorial will demonstrate workflows using PredictiveGridTM, a high performance data analytics platform available for anyone to use through the National Infrastructure for AI on the Grid (NI4AI). The course will include a high-level discussion about the opportunities and outlook for AI on the grid, and will connect attendees with resources for continued learning. The course is organized through NI4AI (ni4ai.org), an online community that offers open access grid data, educational content, and a state-of-the-art data analytics platform designed to eliminate barriers to working with time series data at scale.
Neutrino signatures and the neutrino-driven wind in Binary Neutron Star Mergers
Creators: name: Dessart, Luc
name: Ott, Christian
name: Burrows, Adam
name: Rosswog, Stefan
name: Livne, Eli
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We present VULCAN/2D multi-group flux-limited-diffusion radiation hydrodynamics simulations of binary neutron star (BNS) mergers, using the Shen equation of state, covering ~100 ms, and starting from azimuthal-averaged 2D slices obtained from 3D SPH simulations of Rosswog & Price for 1.4 Msun (baryonic) neutron stars with no initial spins, co-rotating spins, and counter-rotating spins. Snapshots are post-processed at 10 ms intervals with a multi-angle neutrino-transport solver. We find polar-enhanced neutrino luminosities, dominated by $\barν_e$ and ``$ν_μ$'' neutrinos at peak, although $ν_e$ emission may be stronger at late times. We obtain typical peak neutrino energies for $ν_e$, $\barν_e$, and ``$ν_μ$'' of ~12, ~16, and ~22 MeV. The super-massive neutron star (SMNS) formed from the merger has a cooling timescale of ~1 s. Charge-current neutrino reactions lead to the formation of a thermally-driven bipolar wind with ~10$^{-3}$ Msun/s, baryon-loading the polar regions, and preventing any production of a GRB prior to black-hole formation. The large budget of rotational free energy suggests magneto-rotational effects could produce a much greater polar mass loss. We estimate that ~10$^{-4}$ Msun of material with electron fraction in the range 0.1-0.2 become unbound during this SMNS phase as a result of neutrino heating. We present a new formalism to compute the $ν_i\barν_i$ annihilation rate based on moments of the neutrino specific intensity computed with our multi-angle solver. Cumulative annihilation rates, which decay as $t^{-1.8}$, decrease over our 100 ms window from a few 10$^{50}$ to ~10$^{49}$ erg/s, equivalent to a few 10$^{54}$ to ~10$^{53}$ $e^-e^+$ pairs per second.
description: 23 pages, 20 figures, 2 tables, submitted to ApJ, high resolution version of the paper available at http://hermes.as.arizona.edu/~luc/ms.pdf
Hundreds of Milky Way Satellites? Luminosity Bias in the Satellite Luminosity Function
Creators: name: Tollerud, Erik J.
name: Bullock, James S.
name: Strigari, Louis E.
name: Willman, Beth
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We correct the observed Milky Way satellite luminosity function for luminosity bias using published completeness limits for the Sloan Digital Sky Survey DR5. Assuming that the spatial distribution of Milky Way satellites tracks the subhalos found in the Via Lactea LCDM N-body simulation, we show that there should be between ~300 and ~600 satellites within 400 kpc of the Sun that are brighter than the faintest known dwarf galaxies, and that there may be as many as ~ 1000, depending on assumptions. By taking into account completeness limits, we show that the radial distribution of known Milky Way dwarfs is consistent with our assumption that the full satellite population tracks that of subhalos. These results alleviate the primary worries associated with the so-called missing satellites problem in CDM. We show that future, deep wide-field surveys such as SkyMapper, the Dark Energy Survey (DES), PanSTARRS, and the Large Synoptic Survey Telescope (LSST) will deliver a complete census of ultra-faint dwarf satellites out to the Milky Way virial radius, offer new limits on the free-streaming scale of dark matter, and provide unprecedented constraints on the low-luminosity threshold of galaxy formation.
description: 13 pages, 10 figures, ApJ In Press
Precision weighting of cortical unsigned prediction error signals benefits learning, is mediated by dopamine, and is impaired in psychosis
Creators: name: Haarsma, J.
name: Fletcher, P. C.
name: Griffin, J. D.
name: Taverne, H. J.
name: Ziauddeen, H.
name: Spencer, T. J.
name: Miller, C.
name: Katthagen, T.
name: Goodyer, I.
name: Diederen, K. M. J.
name: Murray, G. K.
Publisher: name: Apollo - University of Cambridge Repository
Year: 2020
Subjects: Article
/631/378
/692/699/476/1799
/631/477
/59/36
/59
/64
article

description: Abstract: Recent theories of cortical function construe the brain as performing hierarchical Bayesian inference. According to these theories, the precision of prediction errors plays a key role in learning and decision-making, is controlled by dopamine and contributes to the pathogenesis of psychosis. To test these hypotheses, we studied learning with variable outcome-precision in healthy individuals after dopaminergic modulation with a placebo, a dopamine receptor agonist bromocriptine or a dopamine receptor antagonist sulpiride (dopamine study n = 59) and in patients with early psychosis (psychosis study n = 74: 20 participants with first-episode psychosis, 30 healthy controls and 24 participants with at-risk mental state attenuated psychotic symptoms). Behavioural computational modelling indicated that precision weighting of prediction errors benefits learning in health and is impaired in psychosis. FMRI revealed coding of unsigned prediction errors, which signal surprise, relative to their precision in superior frontal cortex (replicated across studies, combined n = 133), which was perturbed by dopaminergic modulation, impaired in psychosis and associated with task performance and schizotypy (schizotypy correlation in 86 healthy volunteers). In contrast to our previous work, we did not observe significant precision-weighting of signed prediction errors, which signal valence, in the midbrain and ventral striatum in the healthy controls (or patients) in the psychosis study. We conclude that healthy people, but not patients with first-episode psychosis, take into account the precision of the environment when updating beliefs. Precision weighting of cortical prediction error signals is a key mechanism through which dopamine modulates inference and contributes to the pathogenesis of psychosis.
Towards accurate modelling of the ISW effect, the non-linear contribution
Creators: name: Cai, Yan-Chuan
name: Cole, Shaun
name: Jenkins, Adrian
name: Frenk, Carlos
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: In a universe with a cosmological constant, the large-scale gravitational potential varies in time and this is, in principle, observable. Using an N-body simulation of a $Λ$CDM universe, we show that linear theory is not sufficiently accurate to predict the power spectrum of the time derivative, $\dotΦ$, needed to compute the imprint of large-scale structure on the cosmic microwave background (CMB). The linear part of the $\dotΦ$ power spectrum (the integrated Sachs-Wolfe effect or ISW) drops quickly as the relative importance of $Ω_Λ$ diminishes at high redshift, while the non-linear part (the Rees-Sciama effect or RS) evolves more slowly with redshift. Therefore, the deviation of the total power spectrum from linear theory occurs at larger scales at higher redshifts. The deviation occurs at $k\sim 0.1 $ $h$ Mpc$^{-1}$ at $z=0$. The cross-correlation power spectrum of the density $δ$ with $\dotΦ$ behaves differently to the power spectrum of $\dotΦ$. Firstly, the deviation from linear theory occurs at smaller scales ($k\sim 1 $ $h$ Mpc$^{-1}$ at $z=0$). Secondly, the correlation becomes negative when the non-linear effect dominates. For the cross-correlation power spectrum of galaxy samples with the CMB, the non-linear effect becomes significant at $l\sim 500$ and rapidly makes the cross power spectrum negative. For high redshift samples, the cross-correlation is expected to be suppressed by $5-10%$ on arcminute scales. The RS effect makes a negligible contribution to the large-scale ISW cross-correlation measurement. However, on arc-minute scales it will contaminate the expected cross-correlation signal induced by the Sunyaev-Zel'dovich effect.
description: minor changes to match MNRAS accepted version
title: Eine schlanke Arbeitsstättenverordnung
Creators: name: Weinrich, Wolfgang
Publisher: name: Bauhaus-Universität Weimar
Year: 2005
Subjects: subject: Arbeitsschutz
subject: Baustelle
subject: Baubetriebslehre
subject: 620

description: Es wird die neue Arbeitsstättenverordnung erläutert: Anliegen der Novellierung, Bezug zum Arbeitsschutzgesetz, Aufbau der ArbStättV, wesentliche Inhalte, Interpretationshilfen, Bezug zur Thüringer Bauordnung, Konsequenzen für den Baubetrieb
description: 4. Fachtagung Sicherheit auf Baustellen: Erfahrung - Arbeitsscherheit - Leistung, p. 23
description: Schriften der Professur Baubetrieb und Bauverfahren, vol. 08, p. 23
The effect of dilution on eco-evolutionary dynamics of experimental microbial communities.
Creators: name: Scheuerl, Thomas
name: Kaitala, Veijo
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: Ecological Dynamics
Evolutionary Interaction
Predator‐Prey Coexistence

description: Changing environmental conditions can infer structural modifications of predator-prey communities. New conditions often increase mortality which reduces population sizes. Following this, predation pressure may decrease until populations are dense again. Dilution may thus have substantial impact not only on ecological but also on evolutionary dynamics because it amends population densities. Experimental studies, in which microbial populations are maintained by a repeated dilution into fresh conditions after a certain period, are extensively used approaches allowing us to obtain mechanistic insights into fundamental processes. By design, dilution, which depends on transfer volume (modifying mortality) and transfer interval (determining the time of interaction), is an inherent feature of these experiments, but often receives little attention. We further explore previously published data from a live predator-prey (bacteria and ciliates) system which investigated eco-evolutionary principles and apply a mathematical model to predict how various transfer volumes and transfer intervals would affect such an experiment. We find not only the ecological dynamics to be modified by both factors but also the evolutionary rates to be affected. Our work predicts that the evolution of the anti-predator defense in the bacteria, and the evolution of the predation efficiency in the ciliates, both slow down with lower transfer volume, but speed up with longer transfer intervals. Our results provide testable hypotheses for future studies of predator-prey systems, and we hope this work will help improve our understanding of how ecological and evolutionary processes together shape composition of microbial communities.
title: Quo vadis Arbeitsschutz?
Creators: name: Riehm, Gerald
Publisher: name: Bauhaus-Universität Weimar
Year: 2005
Subjects: subject: Arbeitsschutz
subject: Baustelle
subject: 620

description: In seinem Einführungsvortrag zur Fachtagung gibt Herr Riehm einen Überblick über den aktuellen Stand des Arbeitsschutzes auf thüringer Baustellen. Außerdem wird ein Ausblick auf die Entwicklung des Arbeitsschutzrechts in Deutschland und der staatlichen Arbeitsschutzbehörden gegeben.
description: 4. Fachtagung Sicherheit auf Baustellen: Erfahrung - Arbeitsscherheit - Leistung, p. 13
description: Schriften der Professur Baubetrieb und Bauverfahren, vol. 08, p. 13
2021 PES ISGT NA Tutorial Series: NI4AI Workshop on PMU and Time Series Data Analysis at Scale, Session 1: Introduction to PMU data and applications (slides)
Creators: Alexandra von Meier
Kevin Jones
Miles Rusch
Publisher: name: IEEE
Year: 2021

This multiple session tutorial is designed to train researchers and practitioners to begin analyzing synchrophasor (i.e., PMU) and point on wave data. The course covers concepts from power engineering and data science, and will show attendees how to develop efficient workflows for analyzing and visualizing time series data at scale. The first day of the course will cover foundational concepts from power systems engineering, and will relate PMU data to physical properties of the grid. The session will discuss phasor calculation, and methods for using phasor data to compute frequency. We will close with a summary of best practices and lessons learned from using PMU data in industry. The second day will teach attendees how to develop fast and efficient AI/ML workflows. Panelists will step through code they’ve developed to analyze time series grid data for applications in data science and engineering. The tutorial will demonstrate workflows using PredictiveGridTM, a high performance data analytics platform available for anyone to use through the National Infrastructure for AI on the Grid (NI4AI). The course will include a high-level discussion about the opportunities and outlook for AI on the grid, and will connect attendees with resources for continued learning. The course is organized through NI4AI (ni4ai.org), an online community that offers open access grid data, educational content, and a state-of-the-art data analytics platform designed to eliminate barriers to working with time series data at scale.
Carbothermal reduction of mill scales formed on steel billets during continuous casting
Creators: name: Suarez, S. M. Espinoza
name: Borja-Castro, L. E.
name: Valerio-Cuadros, M. I.
name: Domínguez, A. Bustamante
name: Cabrera-Tinoco, H. A.
name: Huaman, E.
name: Valencia-Bedregal, R. A.
name: Zhao, Xiaoli
name: Zhang, Youyun
name: Zhang, Deliang
name: Barnes, C. H. W.
name: Valladares, L. De Los Santos
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: Article
Proceedings of the International Conference on the Applications of the Mössbauer Effect (ICAME 2021), 5-10 September 2021, Brasov, Romania
Mill scales
Steel billets
Continuous casting process
Steel industry
Mossbauer spectroscopy
Carbothermal reduction
X-ray diffraction

description: Abstract: A billet is a bar made from crude steel which surface contains scales which are rich in iron oxides. This study presents the carbothermal reduction of the scales formed in steel billets. The process included the reaction of the iron oxides contents with carbon (in ratio 5:1) and annealing in a tubular furnace under argon atmosphere. The occurred reactions are discussed using thermodynamic calculations and thermal analysis which indicate a three-stage reduction process Fe3O4 ➔ FeO ➔ Fe3C ➔α-Fe with intermediate reactions at the interval temperature 960 and 1300 °C. The X-ray diffraction confirms the reduction to α-Fe with minor presence of unreacted C, magnetite and wustite. Mössbauer spectroscopy analysis was performed at room temperature where a typical sextet corresponding to the dominant α-Fe is shown as well as wustite, magnetite and cementite to a lesser extent. The magnetization measurements confirm the ferromagnetic state corresponding to the α-Fe.
2021 PES ISGT Tutorial Series: Mathematical Optimization in Active Power Distribution Systems Session 2: Applications (slides)
Creators: Anamika Dubey
Sumit Paudyal
Sukumar Kamalasadan
Publisher: name: IEEE
Year: 2021

This Multiple Session Tutorial: The proliferation of distributed energy resources and the deployment of advanced sensing and control technologies in electric power distribution systems calls for coordinated management of the grid’s resources. This has led to a growing interest in academia and industry alike on optimization methods for the large-scale unbalanced power distribution systems for improved operational efficiency and resilience. The current fast-paced research in this domain is driven by the challenging mathematical problem of three-phase optimal power flow (OPF). The goal of this tutorial is to introduce the state-of-the-art optimization methods applied to unbalanced power distribution systems and their use cases for the distribution systems applications. We will start with a discussion on the different models for formulating the distribution OPF problem and discuss their trade-offs. Next, we will describe the approach to formulate two distribution-level applications, Conservation Voltage Reduction (CVR) and DG-assisted feeder restoration, as an optimization problem. The application cases will include a hand-on tutorial on modeling the optimization problem using OpenDSS, Matlab/Python, Julia for the IEEE test systems.
Decreasing hospital burden of COVID-19 during the first wave in Regione Lombardia: an emergency measures context
Creators: name: Grosso, Francesca Maria
name: Presanis, Anne Margaret
name: Kunzmann, Kevin
name: Jackson, Chris
name: Corbella, Alice
name: Grasselli, Giacomo
name: Andreassi, Aida
name: Bodina, Annalisa
name: Gramegna, Maria
name: Castaldi, Silvana
name: Cereda, Danilo
name: Angelis, Daniela De
name: Ambra, Castrofino
name: Gabriele, Del Castillo
name: Lucia, Crottogini
name: Marcello, Tirani
name: Alberto, Zanella
name: Marco, Salmoiraghi
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: Research

description: Abstract: Background: The aim of this study is to quantify the hospital burden of COVID-19 during the first wave and how it changed over calendar time; to interpret the results in light of the emergency measures introduced to manage the strain on secondary healthcare. Methods: This is a cohort study of hospitalised confirmed cases of COVID-19 admitted from February–June 2020 and followed up till 17th July 2020, analysed using a mixture multi-state model. All hospital patients with confirmed COVID-19 disease in Regione Lombardia were involved, admitted from February–June 2020, with non-missing hospital of admission and non-missing admission date. Results: The cohort consists of 40,550 patients hospitalised during the first wave. These patients had a median age of 69 (interquartile range 56–80) and were more likely to be men (60%) than women (40%). The hospital-fatality risk, averaged over all pathways through hospital, was 27.5% (95% CI 27.1–28.0%); and steadily decreased from 34.6% (32.5–36.6%) in February to 7.6% (6.3–10.6%) in June. Among surviving patients, median length of stay in hospital was 11.8 (11.6–12.3) days, compared to 8.1 (7.8–8.5) days in non-survivors. Averaged over final outcomes, median length of stay in hospital decreased from 21.4 (20.5–22.8) days in February to 5.2 (4.7–5.8) days in June. Conclusions: The hospital burden, in terms of both risks of poor outcomes and lengths of stay in hospital, has been demonstrated to have decreased over the months of the first wave, perhaps reflecting improved treatment and management of COVID-19 cases, as well as reduced burden as the first wave waned. The quantified burden allows for planning of hospital beds needed for current and future waves of SARS-CoV-2 i.
title: In welchem Lebensjahr beginnt der aktive Arbeitsschutz?
Creators: name: Bargstädt, Hans-Joachim
Publisher: name: Bauhaus-Universität Weimar
Year: 2005
Subjects: subject: Arbeitsschutz
subject: Baubetriebslehre
subject: 620

description: Dieser Beitrag versucht, einige Aspekte der individuellen Lebensentwicklung mit den Möglichkeiten wirksamen Arbeitsschutzes zu verknüpfen. Er wirt damit die Frage auf, ob und wie die Sensibilisierung für Sicherheit und Gesundheitsschutz, für vorbeugende Maßnahmen und für die Akzeptanz bei den Betroffenen verbessert werden kann. Was hat Arbeitsschutz mit dem Lebensalter zu tun? Verhalten sich Routiniers im Bauwesen anders als Berufanfänger?
description: 4. Fachtagung Sicherheit auf Baustellen: Erfahrung - Arbeitsscherheit - Leistung, p. 5
description: Schriften der Professur Baubetrieb und Bauverfahren, vol. 08, p. 5
Advanced biofidelic headforms for high fidelity re-enactment of real-world head impacts in cricket
Creators: name: England, Rory
Publisher: name: Loughborough University
Year: 2025

description: Cricket presents an interesting opportunity for head injury research. The head injuries that occur do so at a consistent rate, in a predictable position on the pitch, and with reliable access to verified reports of the outcomes. Methods were developed to use videos of head impacts in cricket to establish ball velocity, head orientation and impact location required to re-enact real-life head impacts where the real-life outcome was known. The method for determining impact characteristics was validated against computationally simulated validation data and one example of Hawkeye data. The outcome was an uncertainty of ± 0.75 m/s in velocity magnitude, ± 6o in inbound vector angle and ± 44 mm in impact location. Velocity uncertainty was comparable to the ball cannon uncertainty. Head orientation uncertainty was about three-fold greater than the headform positioning uncertainty but equal to the uncertainty that might be expected from a machine learning algorithm of the time. Impact location was just over seven-fold greater than physical headform positioning uncertainty. This experimental setup this was significantly more representative for real-life impacts than anything previously published for short duration impacts.Literature showed that the headforms used in most impact studies have gross simplifications of human anatomy. It was hypothesised that the highly simplified headforms are not capable of exhibiting the phenomena most closely correlated to mTBI since they don’t have a biofidelic brain. In response, two headforms were developed. The first novel headform (denoted LU 1.1) was a semi-simplified headform based upon the previous work of Stone (2019). LU 1.1 had a biofidelic skull and soft tissue layer. It had a geometrically accurate cranial cavity which was filled with mechanically representative Sylguard 527 brain material. A second more advanced headform (denoted LU 2.0) was developed with a separately moulded brain geometry within the cranial cavity. LU 2.0 had biofidelic falx cerebri, falx cerebelli and tentorium cerebelli membranes, and the subdural space was filled with artificial cerebrospinal fluid. One area that LU 2.0 represented significant progress was the development of an advanced chemical welding method to facilitate the placement of a biofidelic brain within the cranial cavity without compromising the biofidelity of the skull. [Continues ...]
The Grid Modernization Initiative: Resilient Distribution Systems Portfolio Review
Creators: K. LYNN
K. SCHNEIDER
R. HOVSAPIAN
E. STEWART
V. DONDE
Publisher: name: IEEE
Year: 2021

2021 ISGT NA Panel Presentation
A reliable and resilient electric grid is critical not only to our national and economic security, but also to the everyday lives of American families. The electricity system must continue to evolve to address a variety of challenges and opportunities such as severe weather and the cyber threat, a changing mix of types of electric generation, the ability for consumers to participate in electricity markets, the growth of the Internet of Things, and the aging of the electricity infrastructure. As part of the Grid Modernization Initiative (GMI), the Energy Department announced funding in September 2017 of up to $32 million over three years to the Grid Modernization Laboratory Consortium (GMLC) and their partners to advance resilient distribution systems, focusing on the integration of clean distributed energy resources (DER), advanced controls, grid architecture, and emerging grid technologies at a regional scale. This panel will review some of these projects that are either complete or nearly complete.
Ein Kommentar zu Jacques Rancières und Hayden Whites Auffassungen über Literatur und Geschichte
Creators: name: Müller, Albert
Publisher: name: Österreichische Zeitschrift für Geschichtswissenschaften
Year: 2016

description: Österreichische Zeitschrift für Geschichtswissenschaften, Bd. 27 Nr. 1 (2016): Apropos Rancière
Using Millimeter VLBI to Constrain RIAF Models of Sagittarius A*
Creators: name: Fish, Vincent L.
name: Broderick, Avery E.
name: Doeleman, Sheperd S.
name: Loeb, Abraham
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: The recent detection of Sagittarius A* at lambda = 1.3 mm on a baseline from Hawaii to Arizona demonstrates that millimeter wavelength very long baseline interferometry (VLBI) can now spatially resolve emission from the innermost accretion flow of the Galactic center region. Here, we investigate the ability of future millimeter VLBI arrays to constrain the spin and inclination of the putative black hole and the orientation of the accretion disk major axis within the context of radiatively inefficient accretion flow (RIAF) models. We examine the range of baseline visibility and closure amplitudes predicted by RIAF models to identify critical telescopes for determining the spin, inclination, and disk orientation of the Sgr A* black hole and accretion disk system. We find that baseline lengths near 3 gigalambda have the greatest power to distinguish amongst RIAF model parameters, and that it will be important to include new telescopes that will form north-south baselines with a range of lengths. If a RIAF model describes the emission from Sgr A*, it is likely that the orientation of the accretion disk can be determined with the addition of a Chilean telescope to the array. Some likely disk orientations predict detectable fluxes on baselines between the continental United States and even a single 10-12 m dish in Chile. The extra information provided from closure amplitudes by a four-antenna array enhances the ability of VLBI to discriminate amongst model parameters.
description: Accepted for publication in ApJL
2021 PES ISGT Tutorial Series: Mathematical Optimization in Active Power Distribution Systems Session 1: Fundamentals (slides)
Creators: Anamika Dubey
Sumit Paudyal
Sukumar Kamalasadan
Publisher: name: IEEE
Year: 2021

This Multiple Session Tutorial: The proliferation of distributed energy resources and the deployment of advanced sensing and control technologies in electric power distribution systems calls for coordinated management of the grid’s resources. This has led to a growing interest in academia and industry alike on optimization methods for the large-scale unbalanced power distribution systems for improved operational efficiency and resilience. The current fast-paced research in this domain is driven by the challenging mathematical problem of three-phase optimal power flow (OPF). The goal of this tutorial is to introduce the state-of-the-art optimization methods applied to unbalanced power distribution systems and their use cases for the distribution systems applications. We will start with a discussion on the different models for formulating the distribution OPF problem and discuss their trade-offs. Next, we will describe the approach to formulate two distribution-level applications, Conservation Voltage Reduction (CVR) and DG-assisted feeder restoration, as an optimization problem. The application cases will include a hand-on tutorial on modeling the optimization problem using OpenDSS, Matlab/Python, Julia for the IEEE test systems.
Superconducting loop quantum gravity and the cosmological constant
Creators: name: Alexander, Stephon H. S.
name: Calcagni, Gianluca
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Astrophysics (astro-ph)
subject: Superconductivity (cond-mat.supr-con)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We argue that the cosmological constant is exponentially suppressed in a candidate ground state of loop quantum gravity as a nonperturbative effect of a holographic Fermi-liquid theory living on a two-dimensional spacetime. Ashtekar connection components, corresponding to degenerate gravitational configurations breaking large gauge invariance and CP symmetry, behave as composite fermions that condense as in Bardeen-Cooper-Schrieffer theory of superconductivity. Cooper pairs admit a description as wormholes on a de Sitter boundary.
description: 10 pages; v2 matches the published version
Valence-Bond Dynamical Mean-Field Theory of Doped Mott Insulators with Nodal/Antinodal Differentiation
Creators: name: Ferrero, M.
name: Cornaglia, P. S.
name: De Leo, L.
name: Parcollet, O.
name: Kotliar, G.
name: Georges, A.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We introduce a valence-bond dynamical mean-field theory of doped Mott insulators. It is based on a minimal cluster of two orbitals, each associated with a different region of momentum space and hybridized to a self-consistent bath. The low-doping regime is characterized by singlet formation and the suppression of quasiparticles in the antinodal regions, leading to the formation of Fermi arcs. This is described in terms of an orbital-selective transition in reciprocal space. The calculated tunneling and photoemission spectra are consistent with the phenomenology of the normal state of cuprates. We derive a low-energy description of these effects using a generalization of the slave-boson method.
description: 4+ pages, 4 figures