Identifying climates favoring extreme weather phenomena is a primary aim of paleoclimate and paleohydrological research. Here, we present a well-dated, late Holocene Dead Sea sediment record of debris flows covering 3.3 to 1.9 cal ka BP. Twenty-three graded layers deposited in shallow waters near the western Dead Sea shore were identified by microfacies analysis. These layers represent distal subaquatic deposits of debris flows triggered by torrential rainstorms over the adjacent western Dead Sea escarpment. Modern debris flows on this escarpment are induced by rare rainstorms with intensities exceeding \textgreater30mm h−1 for at least one hour and originate primarily from the Active Red Sea Trough synoptic pattern. The observed late Holocene clustering of such debris flows during a regional drought indicates an increased influence of Active Red Sea Troughs resulting from a shift in synoptic atmospheric circulation patterns. This shift likely decreased the passages of eastern Mediterranean cyclones, leading to drier conditions, but favored rainstorms triggered by the Active Red Sea Trough. This is in accord with present-day meteorological data showing an increased frequency of torrential rainstorms in regions of drier climate. Hence, this study provides conclusive evidence for a shift in synoptic atmospheric circulation patterns during a late Holocene drought.
V dioxide (VO2) nanoparticles with reversible semiconductor-metal phase transition holds the tremendous potential as a thermochromic material for the energy-saving smart glazing. However, the trade-off between improving the luminous transmittance (Tlum) while sacrificing the solar modulation ability (ΔTsol) hampers its bench-to-market translation. Previous studies of anti-reflection coatings (ARCs) focused primarily on increasing Tlum while neglecting ΔTsol, which is a key energy-saving determinant. The intrinsically low ΔTsol (<16%) is due to the fact that VO2 has a higher refractive index (RI) from 500 nm to 2200 nm wavelength (λ) below its crit. transition temp. (τc), which causes excessive reflection at a lower temp. This study aims to study ARCs with tunable RI (1.47-1.92 at λ = 550 nm) to improve the antireflection effect at a lower temp., thereby maximizing ΔTsol for various VO2 nanosubstrates, e.g. continuous thin films, nanocomposites, and periodic micro-patterning films. The best performing coatings could maximize ΔTsol (from 15.7% to 18.9%) and increase Tlum(avg) (from 39% to 44%) simultaneously, which surpasses the current bench-mark specifications ever reported for ARC-coated VO2 smart glazing. The cytotoxicity analyses evidence that ARCs are feasible to improve the cyto-compatibility of VO2 nanoparticles-based nanocomposites. The presented RI-tunable ARC, which circumvents the complex materials selection and optical design, not only paves the way for practical applications of VO2-based smart windows but also has extensive applications in the field of solar cells, optical lenses, smart display, etc. [on SciFinder(R)]
Vanadium dioxide (VO2) nanoparticles with reversible semiconductor-metal phase transition holds the tremendous potential as a thermochromic material for the energy-saving smart glazing. However, the trade-off between improving the luminous transmittance (T-lum) while sacrificing the solar modulation ability (Delta T-sol) hampers its bench-to-market translation. Previous studies of anti-reflection coatings (ARCs) focused primarily on increasing Tlum while neglecting DTsol, which is a key energy-saving determinant. The intrinsically low Delta T-sol (< 16%) is due to the fact that VO2 has a higher refractive index (RI) from 500 nm to 2200 nm wavelength (lambda) below its critical transition temperature (tau(c)), which causes excessive reflection at a lower temperature. This study aims to investigate ARCs with tunable RI (1.47-1.92 at lambda = 550 nm) to improve the antireflection effect at a lower temperature, thereby maximizing Delta T-sol for various VO2 nanosubstrates, e.g. continuous thin films, nanocomposites, and periodic micro-patterning films. We showed that the best performing coatings could maximize Delta T-sol (from 15.7% to 18.9%) and increase T-lum(avg) (from 39% to 44%) simultaneously, which surpasses the current benchmark specifications ever reported for ARC-coated VO2 smart glazing. In addition, the cytotoxicity analyses evidence that ARCs are feasible to improve the cyto-compatibility of VO2 nanoparticles-based nanocomposites. The presented RI-tunable ARC, which circumvents the complex materials selection and optical design, not only paves the way for practical applications of VO2-based smart windows but also has extensive applications in the field of solar cells, optical lenses, smart display, etc. (C) 2017 Elsevier B.V. All rights reserved.
Inferring connections forms a critical step toward understanding large and diverse complex networks. To date, reliable and efficient methods for the reconstruction of network topology from measurement data remain a challenge due to the high complexity and nonlinearity of the system dynamics. These obstacles also form a bottleneck for analyzing and controlling the dynamic structures (e.g., synchrony) and collective behavior in such complex networks. The novel contribution of this work is to develop a unified data-driven approach to reliably and efficiently reveal the dynamic topology of complex networks in different scales—from cells to societies. The developed technique provides guidelines for the refinement of experimental designs toward a comprehensive understanding of complex heterogeneous networks.Extracting complex interactions (i.e., dynamic topologies) has been an essential, but difficult, step toward understanding large, complex, and diverse systems including biological, financial, and electrical networks. However, reliable and efficient methods for the recovery or estimation of network topology remain a challenge due to the tremendous scale of emerging systems (e.g., brain and social networks) and the inherent nonlinearity within and between individual units. We develop a unified, data-driven approach to efficiently infer connections of networks (ICON). We apply ICON to determine topology of networks of oscillators with different periodicities, degree nodes, coupling functions, and time scales, arising in silico, and in electrochemistry, neuronal networks, and groups of mice. This method enables the formulation of these large-scale, nonlinear estimation problems as a linear inverse problem that can be solved using parallel computing. Working with data from networks, ICON is robust and versatile enough to reliably reveal full and partial resonance among fast chemical oscillators, coherent circadian rhythms among hundreds of cells, and functional connectivity mediating social synchronization of circadian rhythmicity among mice over weeks.
Dynamic group coordination facilitates adaptive division of labor in response to group-level changes. Yet, little is known about how it can be operationalized in online collaborations among individuals with limited information about each other. We hypothesized that simple social information about the task distribution of others can elicit emergent task allocation. We conducted an online experiment where participants analyze images of a polluted canal by freely switching between two tasks: creating keyword-based tags for images and categorizing existing tags. During the task execution, we presented experimentally manipulated information about the contrasting group-level task distributions. Participants did not change the effort allocation between the tasks when they were notified that the group deficits workers in the task they intrinsically prefer. By contrast, they allocated more effort to the less preferred task than they would intrinsically do when their intrinsic effort allocation counterbalances the current distribution of workers in the group. Such behavioral changes were observed more strongly among those with higher skills in the less preferred task. Our results demonstrate the possibility of optimizing group coordination through design interventions at the individual level that lead to spontaneous adaption of division of labor at the group level. When participants were provided information about the group-level task distribution, they tend to allocate more effort to the task against their intrinsic preference.
This dictionary was created as part of the INFOCORE research project, coordinated by Romy Fröhlich, Ludwig Maximilian University Munich;
as part of the work of the Methodological Working Group: Content Analysis, headed by Christian Baden, The Hebrew University of Jerusalem;
which was a joint effort of Work Package 5: Social Media, headed by Dimitra Dimitrakopoulou, Massachusetts Institute of Technology; Work Package 6: Strategic Communication, headed by Romy Fröhlich, Ludwig Maximilian University Munich; Work Package 7: Journalistic Transformation, headed by Keren Tenenboim-Weinblatt, The Hebrew University of Jerusalem; and Work Package 8: Parliamentary Discourse, headed by Rosa Berganza Conde, King Juan Carlos University Madrid.
The INFOCORE Dictionary includes…
3,738 measured concepts in conflict-related discourse, ordered into four main groups: Semantic concepts (IDs 1####); Actors (2####); Times/Events (3####); Locations (4####)
8 languages: Albanian, Arabic, English, French, German, Hebrew, Macedonian, and Serbian
The trend of developing electrochem. sensors toward cellular level detection put forward higher requirements of the electrodes in the detection performance. However, common disk electrodes or conventional screen printing electrodes meet up with some limitations in the electrocatalytic activity and electron transfer capability. In this work, we applied inkjet printing technol. to fabricate electrodes to make some improvements. Highly conductive Ag nanoparticles based electrodes were obtained on plastic substrate by inkjet printing technol. followed by a sintering process at room temp. The resistivity of IPAgE is detd. to be 64.0 ± 5.3 μΩ cm. With better cond. and the nanoparticle-based interface, superb electrochem. response of IPAgE for H2O2 was obtained, nearly 300-fold higher than the conventional screen printed Ag electrode. Moreover, high sensitivity of 287 μA mM-1 cm-2 with a LOD of 5.0 μM was obtained under the optimized 20 printed layers. The inkjet printed Ag electrodes were also credibly applied in the detection of H2O2 release from living cells. This work demonstrates inkjet printing is a promising method for the high performance electrochem. sensors. [on SciFinder(R)]
Although aging-regulating pathways were discovered a few decades ago, it is not entirely clear how their activities are orchestrated, to govern lifespan and proteostasis at the organismal level. Here, we utilized the nematode Caenorhabditis elegans to examine whether the alteration of aging, by reducing the activity of the Insulin/IGF signaling (IIS) cascade, affects protein SUMOylation. We found that IIS activity promotes the SUMOylation of the germline protein, CAR-1, thereby shortening lifespan and impairing proteostasis. In contrast, the expression of mutated CAR-1, that cannot be SUMOylated at residue 185, extends lifespan and enhances proteostasis. A mechanistic analysis indicated that CAR-1 mediates its aging-altering functions, at least partially, through the notch-like receptor glp-1. Our findings unveil a novel regulatory axis in which SUMOylation is utilized to integrate the aging-controlling functions of the IIS and of the germline and provide new insights into the roles of SUMOylation in the regulation of organismal aging.
Abstract. This paper describes an integrated, high-resolution dataset of hydro-meteorological variables (rainfall and discharge) concerning a number of high-intensity flash floods that occurred in Europe and in the Mediterranean region from 1991 to 2015. This type of dataset is rare in the scientific literature because flash floods are typically poorly observed hydrological extremes. Valuable features of the dataset (hereinafter referred to as the EuroMedeFF database) include (i) its coverage of varied hydro-climatic regions, ranging from Continental Europe through the Mediterranean to Arid climates, (ii) the high space–time resolution radar rainfall estimates, and (iii) the dense spatial sampling of the flood response, by observed hydrographs and/or flood peak estimates from post-flood surveys. Flash floods included in the database are selected based on the limited upstream catchment areas (up to 3000km2), the limited storm durations (up to 2 days), and the unit peak flood magnitude. The EuroMedeFF database comprises 49 events that occurred in France, Israel, Italy, Romania, Germany and Slovenia, and constitutes a sample of rainfall and flood discharge extremes in different climates. The dataset may be of help to hydrologists as well as other scientific communities because it offers benchmark data for the identification and analysis of the hydro-meteorological causative processes, evaluation of flash flood hydrological models and for hydro-meteorological forecast systems. The dataset also provides a template for the analysis of the space–time variability of flash flood triggering rainfall fields and of the effects of their estimation on the flood response modelling. The dataset is made available to the public with the following DOI: https://doi.org/10.6096/MISTRALS-HyMeX.1493.
Remote sensing satellite imagery plays an important role in estimating collapsed buildings in the aftermath of a large-scale disaster. However, some previous methodologies are restricted to using specific radar sensors. Others methods, such as machine learning algorithms, require training data, which are extremely difficult to obtain immediately after a disaster. This paper proposes a novel method to extract collapsed buildings based on the integration of satellite imagery, the spatial distribution of a demand parameter, fragility functions, and a geospatial building inventory. The proposed method is applicable regardless of the type of radar sensor and does not require any training data. The method was applied to extract buildings that collapsed during the 2011 Great East Japan Tsunami. The results showed that the proposed method is effective and consistent with the surveyed building damage data.
Since its discovery nearly 40 years ago, many components of the ubiquitin-proteasome system (UPS) have been identified and characterized in detail. However, a key aspect of the UPS that remains largely obscure is the signals that initiate the interaction of a substrate with enzymes of the UPS machinery. Understanding these signals is of particular interest for studies that examine the mechanism of substrate recognition for proteins that have adopted a non-native structure, as part of the cellular protein quality control (PQC) defense mechanism. Such studies are quite salient as the entire proteome makes up the potential battery of PQC substrates, and yet only a limited number of ubiquitination pathways are known to handle misfolded proteins. Our current research aims at understanding how a small number of PQC ubiquitin-protein ligases specifically recognize and ubiquitinate the overwhelming assortment of misfolded proteins. Here, we present a new proteogenomic approach for identifying and characterizing recognition motifs within degradation elements (degrons) in a high-throughput manner. The method utilizes yeast growth under restrictive conditions for selecting protein fragments that confer instability. The corresponding cDNA fragments are analyzed by next-generation sequencing (NGS) that provides information about each fragment’s identity, reading frame, and abundance over time. This method was used by us to identify PQC-specific and compartment-specific degrons. It can readily be modified to study protein degradation signals and pathways in other organisms and in various settings, such as different strain backgrounds and under various cell conditions, all of which can be sequenced and analyzed simultaneously.
AbstractThis study contributes to the understanding of the relationship between air temperature and convection by analyzing the characteristics of rainfall at the storm and convective rain cell scales. High spatial-temporal resolution (1-km, 5-min) estimates from a uniquely long weather radar record (24-year) were coupled with near-surface air temperature over Mediterranean and semiarid regions in the eastern Mediterranean. In the examined temperature range (5 to 25°C), the peak intensity of individual convective rain cells was found to increase with temperature, but at lower rate than the 7%°C−1 scaling expected from the Clausius-Clapeyron relation, while the area of the individual convective rain cells slightly decrease or, at most, remains unchanged. At the storm-scale, the areal convective rainfall was found to increase with warmer temperatures, whereas the areal non-convective rainfall and the storm-wide area decrease. This suggests an enhanced moisture convergence from the storm-wide extent towards the convective rain cells. Results indicate a reduction in the total rainfall amounts and an increased heterogeneity of the spatial structure of the storm rainfall for temperatures increasing up to 25°C. Thermodynamic conditions, analyzed using convective available potential energy, were determined to be similar between Mediterranean and semiarid regions. Limitation in the atmospheric moisture availability when shifting from Mediterranean to semiarid climates was detected and explains the suppression of the intensity of the convective rain cells when moving towards drier regions. The relationships obtained in this study are relevant for nearby regions characterized by Mediterranean and semiarid climates.
How can irregular political situations, which impact the lives of millions, become normalized? Specifically, within the context of the Israeli-Palestinian conflict, how can 50 years of Israeli control over the Occupied Territories become accepted within Israeli society as a normal, possibly even banal phenomenon? Conversely, how can such a situation be estranged from daily reality, denied any relation to who "we" are? This volume explores these questions through the lens of two central discourses that dominate the Israeli debate regarding the future of the Occupied Territories: 1) Occupation Normalization Discourse, which portrays Israeli control of the territories as a "normal" part of life; 2) Occupation Estrangement Discourse, which portrays this situation as distant from Israeli reality. In addressing these discourses, the authors develop a new methodological tool, Dialectic Discourse Analysis, which examines discourse as a process of perpetual positing and synthesis of oppositions through the discursive construction, differentiation and mediation of self and other.Through this approach, the authors illustrate that these discourses are dialectically constituted in opposition to one another, feeding off one another, each enabling the other to exist. This dynamic has resulted in a fixed discourse, preventing any progress towards a synthesis of oppositions.
