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When reading conflicting science-related texts, readers may attend to cues which allow them to assess plausibility. One such plausibility cue is the use of graphs in the texts, which are regarded as typical of ‘hard science’. The goal of our study was to investigate the effects of the presence of graphs on the perceived plausibility and situation model strength for conflicting science-related texts, while including the influence of readers’ domain knowledge and their knowledge about scientific visualization conventions as potential moderators of these effects. In an experiment mimicking web-based informal learning, 77 university students read texts on controversial scientific issues which were presented with either graphs or tables. Perceived plausibility and situation model strength for each text were assessed immediately after reading; reader variables were assessed several weeks prior to the experiment proper. The results suggest that graphs can indeed serve as plausibility cues and thus boost situation model strength for texts which contain them. This effect was mediated by the perceived plausibility of the information in the texts with graphs. However, whether readers use graphs as plausibility cues in texts with conflicting information seems to depend also on their amount of experience with scientific texts and graphs.
Wörter flüssig und genau lesen zu können ist ein wichtiger Meilenstein beim Lesenlernen, den jedoch nicht alle Kinder erreichen. Schwachen Leser/innen bereitet es oft Schwierig-keiten, den Übergang vom buchstabenweisen Einlesen hin zur visuellen Worterkennung durch orthografische Vergleichsprozesse anhand größerer (sub-)lexikalischer Einheiten zu schaffen. Dabei ermöglicht die Silbe Kindern, die im Deutschen lesen lernen, den Einstieg in orthografische Vergleichsprozesse. Vor diesem Hintergrund untersuchte diese Replikations-studie in einem experimentellen Prä-Post-Design die Wirksamkeit eines silbenbasierten Le-setrainings auf die visuelle Worterkennung und das Leseverständnis von Zweitklässler/innen. Dazu wurden 101 Kinder, deren Worterkennungsleistung in einem standardisierten Lesetest im Vergleich zur Klassennorm unter dem Mittelwert lag, randomisiert der Experimental- oder Wartekontrollgruppe zugewiesen. Die Ergebnisse linearer Modelle nach Abschluss des 24 Sitzungen umfassenden Kleingruppentrainings zeigen signifikante Verbesserungen der orthografischen Vergleichsprozesse in der Experimentalgruppe. Demnach gelang es Kindern, die das Training des wiederholten Lesens und Segmentierens frequenter Silben erhalten hat-ten, Wörter schneller und genauer zu erkennen. Dieser Befund stellt einen weiteren Beleg für die Wirksamkeit des Trainings zur Förderung der Erkennung geschriebener Wörter dar.
Establishing local coherence relations is central to text comprehension. Positive-causal coherence relations link a cause and its consequence, whereas negative-causal coherence relations add a contrastive meaning (negation) to the causal link. According to the cumulative cognitive complexity approach, negative-causal coherence relations are cognitively more complex than positive-causal ones. Therefore, they require greater cognitive effort during text comprehension and are acquired later in language development. The present cross-sectional study tested these predictions for German primary school children from Grades 1 to 4 and adults in reading and listening comprehension. Accuracy data in a semantic verification task support the predictions of the cumulative cognitive complexity approach. Negative-causal coherence relations are cognitively more demanding than positive-causal ones. Moreover, our findings indicate that children's comprehension of negative-causal coherence relations continues to develop throughout the course of primary school. Findings are discussed with respect to the generalizability of the cumulative cognitive complexity approach to German.
The purpose of this study was to examine if prosodic patterns in oral reading derived from Recurrence Quantification Analysis (RQA) could distinguish between struggling and skilled German readers in Grades 2 (n = 67) and 4 (n = 69). Furthermore, we investigated whether models estimated with RQA measures outperformed models estimated with prosodic features derived from prosodic transcription. According to the findings, struggling second graders appear to have a slower reading rate, longer intervals between pauses, and more repetitions of recurrent amplitudes and pauses, whereas struggling fourth graders appear to have less stable pause patterns over time, more pitch repetitions, more similar amplitude patterns over time, and more repetitions of pauses. Additionally, the models with prosodic patterns outperformed models with prosodic features. These findings suggest that the RQA approach provides additional information about prosody that complements an established approach.
NMR spectroscopy is a potent method for the structural and biophysical characterization of RNAs. The application of NMR spectroscopy is restricted in RNA size and most often requires isotope‐labeled or even selectively labeled RNAs. Additionally, new NMR pulse sequences, such as the heteronuclear‐detected NMR experiments, are introduced. We herein provide detailed protocols for the preparation of isotope‐labeled RNA for NMR spectroscopy via in vitro transcription. This protocol covers all steps, from the preparation of DNA template to the transcription of milligram RNA quantities. Moreover, we present a protocol for a chemo‐enzymatic approach to introduce a single modified nucleotide at any position of any RNA. Regarding NMR methodology, we share protocols for the implementation of a suite of heteronuclear‐detected NMR experiments including 13C‐detected experiments for ribose assignment and amino groups, the CN‐spin filter heteronuclear single quantum coherence (HSQC) for imino groups and the 15N‐detected band‐selective excitation short transient transverse‐relaxation‐optimized spectroscopy (BEST‐TROSY) experiment.
Basic Protocol 1: Preparation of isotope‐labeled RNA samples with in vitro transcription using T7 RNAP, DEAE chromatography, and RP‐HPLC purification
Alternate Protocol 1: Purification of isotope‐labeled RNA from in vitro transcription with preparative PAGE
Alternate Protocol 2: Purification of isotope‐labeled RNA samples from in vitro transcription via centrifugal concentration
Support Protocol 1: Preparation of DNA template from plasmid
Support Protocol 2: Preparation of PCR DNA as template
Support Protocol 3: Preparation of T7 RNA Polymerase (T7 RNAP)
Support Protocol 4: Preparation of yeast inorganic pyrophosphatase (YIPP)
Basic Protocol 2: Preparation of site‐specific labeled RNAs using a chemo‐enzymatic synthesis
Support Protocol 5: Synthesis of modified nucleoside 3′,5′‐bisphosphates
Support Protocol 6: Preparation of T4 RNA Ligase 2
Support Protocol 7: Setup of NMR spectrometer for heteronuclear‐detected NMR experiments
Support Protocol 8: IPAP and DIPAP for homonuclear decoupling
Basic Protocol 3: 13C‐detected 3D (H)CC‐TOCSY, (H)CPC, and (H)CPC‐CCH‐TOCSY experiments for ribose assignment
Basic Protocol 4: 13C‐detected 2D CN‐spin filter HSQC experiment
Basic Protocol 5: 13C‐detected C(N)H‐HDQC experiment for the detection of amino groups
Support Protocol 9: 13C‐detected CN‐HSQC experiment for amino groups
Basic Protocol 6: 13C‐detected “amino”‐NOESY experiment
Basic Protocol 7: 15N‐detected BEST‐TROSY experiment
SARS-CoV-2 contains a positive single-stranded RNA genome of approximately 30 000 nucleotides. Within this genome, 15 RNA elements were identified as conserved between SARS-CoV and SARS-CoV-2. By nuclear magnetic resonance (NMR) spectroscopy, we previously determined that these elements fold independently, in line with data from in vivo and ex-vivo structural probing experiments. These elements contain non-base-paired regions that potentially harbor ligand-binding pockets. Here, we performed an NMR-based screening of a poised fragment library of 768 compounds for binding to these RNAs, employing three different 1H-based 1D NMR binding assays. The screening identified common as well as RNA-element specific hits. The results allow selection of the most promising of the 15 RNA elements as putative drug targets. Based on the identified hits, we derive key functional units and groups in ligands for effective targeting of the RNA of SARS-CoV-2.
Ice-nucleating particle concentrations of the past: insights from a 600-year-old Greenland ice core
(2020)
Ice-nucleating particles (INPs) affect the microphysics in cloud and precipitation processes. Hence, they modulate the radiative properties of clouds. However, atmospheric INP concentrations of the past are basically unknown. Here, we present INP measurements from an ice core in Greenland, which dates back to the year 1370. In total 135 samples were analyzed with the FRIDGE droplet freezing assay in the temperature range from −14 to −35 ∘C. The sampling frequency was set to 1 in 10 years from 1370 to 1960. From 1960 to 1990 the frequency was increased to one sample per year. Additionally, a few special events were probed, including volcanic episodes. The typical time coverage of a sample was on the order of a few months. Historical atmospheric INP concentrations were estimated with a conversion factor, which depends on the snow accumulation rate of the ice core, particle dry deposition velocity, and wet scavenging ratio. Typical atmospheric INP concentrations were on the order of 0.1 L−1 at −25 ∘C. The INP variability was found to be about 1–2 orders of magnitude. Yet, the short-term variability from samples over a seasonal cycle was considerably lower. INP concentrations were significantly correlated to some chemical tracers derived from continuous-flow analysis (CFA) and ion chromatography (IC) over a broad range of nucleation temperatures. The highest correlation coefficients were found for the particle concentration (spherical diameter dp > 1.2 µm). The correlation is higher for a time period of seasonal samples, where INP concentrations follow a clear annual pattern, highlighting the importance of the annual dust input in Greenland from East Asian deserts during spring. Scanning electron microscopy (SEM) analysis of selected samples found mineral dust to be the dominant particle fraction, verifying their significance as INPs. Overall, the concentrations compare reasonably well to present-day INP concentrations, albeit they are on the lower side. However, we found that the INP concentration at medium supercooled temperatures differed before and after 1960. Average INP concentrations at −23, −24, −25, −26, and −28 ∘C were significantly higher (and more variable) in the modern-day period, which could indicate a potential anthropogenic impact, e.g., from land-use change.
Ice nucleating particle concentrations of the past: insights from a
600 year old Greenland ice core
(2020)
Ice nucleating particles (INPs) affect the microphysics in cloud and precipitation processes. Hence, they modulate the radiative properties of clouds. However, atmospheric INP concentrations of the past are basically unknown. Here, we present INP measurements from an ice core in Greenland, which dates back to the year 1370. In total 135 samples were analyzed with the FRIDGE droplet freezing assay in the temperature range from −14 ◦C to −35 ◦C. The sampling frequency was set to 1 in 10 years from 1370 to 1960. From 1960 to 1990 the frequency was increased to 1 sample per year. Additionally, a number of special events were probed, including volcanic episodes. The typical time coverage of a sample was on the order of a few months. Historical atmospheric INP concentrations were estimated with a conversion factor, which depends on the snow accumulation rate of the ice core, particle dry deposition velocity and the wet scavenging ratio. Typical atmospheric INP concentrations were on the order of 0.1 L -1 at −25 ◦C. The INP variability was found to be about 1 – 2 orders of magnitude. Yet, the short-term variability from samples over a seasonal cycle was considerably lower. INP concentrations were significantly correlated to chemical tracers derived from continuous flow analysis (CFA) and ion chromatography (IC) over a broad range of nucleation temperatures. The highest correlation coefficients were found for the particle concentration (dp > 1.2 µm). The correlation is higher for the seasonal samples, where INP concentrations follow a clear annual pattern, highlighting the importance of the annual dust input in Greenland from East Asian deserts during spring. Scanning electron microscopy (SEM) of single particles retrieved from selected samples found particles of soil origin to be the dominant fraction, verifying the significance of mineral dust particles as INPs. Overall, the concentrations compare reasonably well to present day INP concentrations, albeit they are on the lower side. However, we found that the INP concentration at medium supercooled temperatures differed before and after 1960. Average INP concentrations at −23 ◦C, −24 ◦C, −25 ◦C, −26 ◦C and −28 ◦C were significantly higher (and more variable) in the modern day period, which could indicate a potential anthropogenic impact or some post-coring contamination of the topmost, very porous firn.
Teleconnections of the Quasi-Biennial Oscillation in a multi-model ensemble of QBO-resolving models
(2021)
The Quasi-biennial Oscillation (QBO) dominates the interannual variability of the tropical stratosphere and influences other regions of the atmosphere. The high predictability of the QBO implies that its teleconnections could lead to increased skill of seasonal and decadal forecasts provided the relevant mechanisms are accurately represented in models. Here modelling and sampling uncertainties of QBO teleconnections are examined using a multi-model ensemble of QBO-resolving atmospheric general circulation models that have carried out a set of coordinated experiments as part of the Stratosphere-troposphere Processes And their Role in Climate (SPARC) QBO initiative (QBOi). During Northern Hemisphere winter, the stratospheric polar vortex in most of these models strengthens when the QBO near 50 hPa is westerly and weakens when it is easterly, consistent with, but weaker than, the observed response. These weak responses are likely due to model errors, such as systematically weak QBO amplitudes near 50 hPa, affecting the teleconnection. The teleconnection to the North Atlantic Oscillation is less well captured overall, but of similar strength to the observed signal in the few models that do show it. The models do not show clear evidence of a QBO teleconnection to the Northern Hemisphere Pacific-sector subtropical jet.