Individual Events Research Articles

Coherence of Compressional Pc3‐4 Pulsation Driven by Upstream Waves in Topside Ionosphere Observed by the Swarm Constellation

AbstractIn this study, we presented a detailed analysis of ultralow frequency compressional waves with frequencies ranging from 16 to 100 mHz by using magnetic measurements of Swarm A and B, when the two spacecraft were flying in a counter‐rotating configuration. These waves are assumed to be driven by processes in the fore‐shock region and subsequently termed as upstream waves (UWs). An automatic detection algorithm for identifying UW events has been developed and applied to the Swarm magnetic measurements. Different to previous studies we take advantage of the counter‐rotating Swarm constellation to investigate the large‐scale homogeneous wavefield. Only B‐field oscillations from both Swarm A and B satellites satisfy the following criteria are accepted for UWs analysis: (a) highly correlated with normalized correlation coefficient (Cc) larger than 0.9; (b) shifted by less than 3 s between observations; (c) separated up to 90° in latitude and/or longitude. By this procedure we have identified from the years 2018–2023 in total 577 orbits containing UWs in the magnetic recordings of both spacecraft. In the first step, we checked phase shifts between UW detections at large latitudinal separation. The two counter‐rotating spacecraft allowed to make use of the Doppler effect to check the possible propagation of UWs at ionospheric altitude. Although individual events show signs of north‐south wave propagation, on average no systematic motion could be found. Similarly, possible wave motions toward or away from noon hours have been checked. By analyzing the simultaneous observations at larger longitudinal separation, also hardly any phase differences are identified in the east‐west direction. Further by evaluating the statistical results, a mean tiny local time effect seems to emerge, indicating on average an earlier arrival of the waves in the morning and later in the evening hours.

Pluralism and the Design of Autonomous Vehicles

This paper advocates for an ethical analysis of autonomous vehicle systems (AVSs) based on a moral epistemic pluralism. This paper contends that approaching the design of intricate social technologies, such as AVSs, is most effective when acknowledging a diverse range of values. Additionally, a comprehensive ethical framework for autonomous vehicles should be applied across two interconnected layers. The first layer centers on the individual level, where each autonomous vehicle becomes a unit of moral consideration. The second layer focuses on the system level, directing moral attention toward the intricate autonomous vehicle system as a whole. Distinguishing the approach from metaphysical pluralism, the paper responds to counterarguments from a moral relativist and value monist perspectives. It concludes by emphasizing the necessity of embracing epistemic pluralism to navigate the complex ethical landscape of AVSs, urging a holistic understanding that transcends individual events and integrates system-level considerations.

On the Association of Substorm Identification Methods

AbstractSubstorms are a rapid release of energy that is redistributed throughout the magnetosphere‐ionosphere system, resulting in many observable signals, such as enhancements in the aurora, energetic particle injections, and ground magnetic field perturbations. Numerous substorm identification techniques and onset lists based on each of these signals have been provided in the literature, but often with no cross‐calibration. Since the signals produced are not necessarily unique to substorms and may not be sufficiently similar to be identified for each and every substorm, individual event lists may miss or misidentify substorms, hindering our understanding and the development and validation of substorm models. To gauge the scale of this problem, we use metrics derived from contingency tables to quantify the association between lists of substorms derived from SuperMAG SML/SMU indices, midlatitude magnetometer data, particle injections, and auroral enhancements. Overall, although some degree of pairwise association is found between the lists, even lists generated by applying conceptually similar gradient‐based identification to ground magnetometer data achieve an association with less than 50% event coincidence. We discuss possible explanations of the levels of association seen from our results, as well as their implications for substorm analyses.

The prognostic role of remnant cholesterol in Asian menopausal women received percutaneous coronary intervention with acute coronary syndrome

BackgroundRemnant cholesterol (RC) exert a significant influence on atherosclerotic cardiovascular disease development. However, the prognostic implications of RC in menopausal women received percutaneous coronary intervention (PCI) who experiencing acute coronary syndrome (ACS) remain uncertain.MethodsRC was derived by subtracting the sum of high-density lipoprotein cholesterol and low-density lipoprotein cholesterol from the total cholesterol. Kaplan-Meier survival and Cox regression analysis were employed for assessing the correlation between continuous RC levels and composite and individual adverse events in Q1-Q4 quartiles. Receiver operator characteristic (ROC) curves, derived from Cox regression, were employed for analyzing the relationship between RC and both composite and individual adverse events.Results1505 consecutive menopausal women who underwent PCI and diagnosed with ACS were included. Kaplan-Meier survival analysis demonstrated a progressive reduction in composite adverse event survival rates across the four groups, observed in both the general population and among diabetic individuals, as RC values increased (Log-rank P < 0.001). The analysis of multivariate Cox regression indicated RC remained independently associated with both composite and individual adverse events. ROC analysis showed that RC enhanced the area under the curve both in total and diabetic populations for composite adverse events.ConclusionAmong menopausal women diagnosed with ACS who underwent PCI, heightened levels of RC were found to be independently correlated with an increased occurrence of adverse events.

The Hydrological Impact of Historical and Modern Earthquakes in Central-Southern Italy: Data Analysis and Seismotectonic Insights

Abstract We present the results of research conducted on the hydrological effects induced by historical and modern earthquakes in the central-southern Apennines of Italy. We investigated thirty-nine seismic events of magnitude between M 4.1 and 7.1 that occurred between 1688 and 2020. We collected 526 observations of coseismic and postseismic hydrological effects such as increase or decrease in streamflow, variations in the water levels in wells, formation and/or disappearance of springs and changes in their discharge, and changes in the chemical and physical characteristics of waters. More than half of the observations were new data unpublished to date in the scientific literature. We find that the ease of finding data of interest is strongly influenced by the historical period in which the seismic event occurred. We summarize the methodology of data retrieval and its classification and present examples and maps of coseismic hydrological changes associated with individual seismic events. Most of our novel data derive from seismic postcards, macroseismic questionnaires, and hydrographic annals. However, a nonnegligible set of data comes from a careful rereading of sources—both historical and modern—that were at first considered fruitless. The majority of data concerns an excess flow in streams and springs, and physical–chemical variations such as turbidity, an increase in temperature, and gas emission. We also find that the maximum distance to which seismically induced streamflow responses have been reported can be related to the earthquake magnitude and use this distance to derive an alternative magnitude for some of the strongest earthquakes of our dataset. Finally, we show a potential application of this type of research because the distribution of coseismic hydrological changes can provide constraints in discriminating between the causative faults of strong historical seismic events for which the instrumental data are scarce or not available.

Immune-related events in individuals with solid tumors on immunotherapy associate with Th17 and Th2 signatures.

BACKGROUNDImmune-related adverse events (irAEs) and their associated morbidity/mortality are a key concern for patients receiving immune checkpoint inhibitors (ICIs). Prospective evaluation of the drivers of irAEs in a diverse pan-tumor cohort is needed to identify patients at greatest risk and to develop rational treatment and interception strategies.METHODSIn an observational study, we prospectively collected blood samples and performed regular clinical evaluations for irAEs in patients receiving ICI therapy as standard of care for solid tumors. We performed in-parallel analysis of cytokines by Luminex immunoassay and circulating immune cells by cytometry by time-of-flight (CyTOF) at baseline and on treatment to investigate mechanisms of irAEs.RESULTSWe enrolled 111 patients, of whom 40.5% developed a symptomatic irAE (grade ≥ 2). Development of a grade ≥ 2 irAE was positively associated with the use of combination ICI and a history of an autoimmune disorder. Early changes in T helper 17 (Th17) (IL-6, IL-17f), type 2 (IL-5, IL-13, IL-25), and type 1 (TNF-α) cytokine signatures and congruent on-treatment expansions of Th17 and Th2 effector memory (Th2EM) T cell populations in peripheral blood were positively associated with the development of grade ≥2 irAEs. IL-6 levels were also associated with inferior cancer-specific survival and overall survival.CONCLUSIONSIn a diverse, prospective pan-tumor cohort, Th17 and Th2 skewing during early ICI treatment was associated with the development of clinically relevant irAEs but not antitumor responses, providing possible targets for monitoring and therapeutic interventions.FUNDINGJohns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy, the NCI SPORE in Gastrointestinal Cancers (P50 CA062924), NCI grant (R50CA243627 to LD), the NIH Center Core Grant (P30 CA006973), Swim Across America (to MY), NIAMS (K23AR075872 to LC), and imCORE-Genentech grant 137515 (to Johns Hopkins Medicine on behalf of MY).

Single-Molecule Identification and Quantification of Steviol Glycosides with a Deep Learning-Powered Nanopore Sensor.

Steviol glycosides (SGs) are a class of high-potency noncalorie natural sweeteners made up of a common diterpenoid core and varying glycans. Thus, the diversity of glycans in composition, linkage, and isomerism results in the tremendous structural complexity of the SG family, which poses challenges for the precise identification and leads to the fact that SGs are frequently used in mixtures and their variances in biological activity remain largely unexplored. Here we show that a wild-type aerolysin nanopore can detect and discriminate diverse SG species through the modulable electro-osmotic flow effect at varied applied voltages. At low voltages, the neutral SG molecule was drawn and stuck in the pore entrance due to an energy barrier around R220 sites. The ensuing binding events enable the identification of the majority of SG species. Increasing the voltage can break the barrier and cause translocation events, allowing for the unambiguous identification of several pairs of SGs differing by only one hydroxyl group through recognition accumulation from multiple sensing regions and sites. Based on nanopore data of 15 SGs, a deep learning-based artificial intelligence (AI) model was created to process the individual blockage events, achieving the rapid, automated, and precise single-molecule identification and quantification of SGs in real samples. This work highlights the value of nanopore sensing for precise structural analysis of complex glycans-containing glycosides, as well as the potential for sensitive and rapid quality assurance analysis of glycoside products with the use of AI.

Terminating E-ring cyclizations for caged indole alkaloids: The secret to success?

Achieving the synthesis of densely-functionalized, cage-like alkaloids has long proven quite challenging, with the success of individual events often being acutely sensitive to minute differences in the geometry and strain of the substrate, particularly as each successive ring is constructed. As such, consideration of what ring to form last has proven to be of particular design significance. In this review, we analyze seminal examples where the E-ring of various structurally related caged indole alkaloids has been targeted as the site of terminal ring closure. As these examples demonstrate, a terminating E-ring approach can enable highly efficient syntheses, but often bespoke solutions are required, given the near-consistent failure of conventional cyclization strategies to forge such rings.

The issue of energy metabolism featues of athletes specializing in virous types of gymnastics

This study examines research conducted by both domestic and international scholars on the training processes of gymnasts across various disciplines. The primary objective is to identify the characteristics of bioenergetic support influencing gymnastic performance. Contemporary research suggests that an athlete's physical capacity is contingent upon several factors, including the nature of motor activity performed during training drills, age, gender, and competitive experience. Statistical analysis demonstrates that drill duration in men's artistic gymnastics ranges from 5 seconds (vault) to 70 seconds (floor exercise), while women's routines vary between 5 seconds (vault) and 90 seconds (balance beam and floor exercise). Callisthenic drills require significantly more time, with duration ranging from 90 seconds (individual events) to 150 seconds (group events). Gymnastic training encompasses a wide age range, typically from 4 to 20 years, most commonly between 9 and 16 years. Notably, many female gymnasts reach their competitive peak during their mid-to-late teens, while males typically peak around 20 years old. The research indicates a proportional increase in training duration and intensity alongside age and competitive level. Studies investigating energy consumption in male artistic gymnasts reveal the highest consumption during floor exercises, followed by vault, still rings, horizontal bar, and parallel bars. Similarly, floor exercise consumes the most energy in women's artistic gymnastics, followed by bars, balance beam, and vault. Furthermore, research suggests that anaerobic energy support dominates during vault, pommel horse, parallel bars, and still rings exercises, while aerobic mechanisms underpin floor exercises and callisthenics. Notably, oxidative metabolism appears to have minimal direct impact on competitive callisthenic performance but plays a crucial role in glycogen conservation during extended, intensive training sessions for elite female gymnasts.

Outreach in coordinated individual events: the GCS format of CNR Italy

Abstract Global Conversation on Sustainability (GCS) 2023 was enthusiastically welcomed by researchers of the National Research Council of Italy (CNR). Highly committed to international organizations such as IUPAC and ISC, the promoters participated to the 2023 edition of the Global Conversation on Sustainability hosting a local in person event held in one of the major CNR institute for chemistry research. The format was a round-table discussion involving colleagues of different age, gender, experience, and area of expertise, who participated to an informal dialogue with the aim of reflecting and sharing aspects of the respective research activities contributing to sustainable development goals. From many chemistry research areas, it emerged a wide range of subjects, which stimulated an interesting and purpose-oriented discussion. Therefore, GCS 2023 at CNR prompted a reflection on how improving chemists’ impact on sustainability including laboratories’ practises and on considering communication becoming part of scientific process. Transformation requires continuous investment in research and innovation and evolving scientific activities, but also requires synergies, collaborations and policy making on cross-cutting issues that can make this successful. Global initiatives as GCS, in the framework of international scientific organizations, represent a key global vehicle for enhancing the big area of science communication. Overcoming time and spatial limitations, these initiatives enable to link global and locally tailored in person events.

Isotopic characteristics of extreme “dragon-boat water” rainfall between mid-May and mid-June in 2022 in Fuzhou, southeastern China

With global warming, the surge in torrential “dragon-boat water” (DBW) events during mid-May and mid-June, following the onset of the South China Sea summer monsoon (SCSSM), poses escalating threats to southern China through severe flooding and impacts on human livelihoods and socio-economic development. To better understand their fundamental mechanisms, we investigated extreme DBW rain events that occurred in southeastern China in 2022. Analysis of stable isotopes in precipitation samples collected in Fuzhou before and after SCSSM onset uncovered a significant decrease in δ18O values following monsoon onset, indicating intensified regional convective activity. This decrease is attributed to the seasonal variation in moisture sources, with water vapor originating from distant oceans after SCSSM onset contributing to increased Rayleigh distillation and subsequent δ18O reduction. A negative correlation between upstream rainfall and δ18O values, particularly at 96 h along the backward trajectory, indicates the influences of accumulative convective activities on precipitation isotopes along water vapor transport paths. Individual rain events typically exhibit characteristic “V” or “W” shapes in δ18O, with the lowest values mostly observed in stratiform zone, governed by microphysical processes, such as mesoscale subsidence, vapor deposition of ice particles, and rain re-evaporation below cloud-base. Notably, events with low δ18O values often coincide with low initial values, suggesting decreased vapor δ18O before precipitation due to accumulative convection or upstream rainout. Our findings elucidate the mechanisms driving the long-term changes in precipitation isotopes and their evolution during DBW events, enriching our understanding of the interplay between precipitation isotopes, large-scale convection, and microphysical processes.

Динамика внешнеполитических ориентаций современной студенческой молодежи

Studies of foreign policy orientations of Russians are extremely significant for modern Russian society and require comprehensive analysis in the context of ongoing transformations of the world order. To carry out separate and independent foreign policy, it is necessary to support it from the population, to form of stable foreign policy orientations, and current ideas about the ongoing foreign policy of the Russian Federation on the part of the representatives of various social groups. The focus of research interest is the sociological analysis of foreign policy orientations of contemporary youth. Young people in the near future will come to key positions in the country’s leadership and will determine the main priorities and directions of our country’s foreign policy. The research of the dynamics of foreign policy orientations of contemporary youth can provide objective and reliable information that can serve as the basis for formation of positive image of Russia in the mass consciousness, understanding and acceptance of the country’s foreign policy course by contemporary young people. The study of attitude of various population groups to Russian foreign policy is carried out for the most part by all-Russian sociological centers, but there are practically no regional studies, including the studies among young people of different Russian regions on the presented issues in modern conditions of the unstable international environment. The analysis of structure and dynamics of foreign policy orientations of Russians and youth, based on the materials from the authors' own and all-Russian sociological research is carried out; their attitude to different directions of the country's foreign policy and individual international events is studied.

Remote Sensing-Based Analysis of Precipitation Events: Spatiotemporal Characterization across China

Precipitation occurs in individual events, but the event characteristics of precipitation are often neglected. This work seeks to identify the precipitation events on both spatial and temporal scales, explore the event characteristics of precipitation, and reveal the relationships between the different characteristics of precipitation events. To do this, we combined the Forward-in-Time (FiT) algorithm with the gridded hourly precipitation product to detect precipitation events in time and space over China. The identified precipitation events were analyzed to determine their characteristics. The results indicate that precipitation events can be detected and identified in time and space scales based on the FiT algorithm and the gridded hourly precipitation product. The precipitation total, duration, and intensity of these events decrease gradually from the southern (eastern) coastal regions to northern (western) inland areas of China. The event precipitation totals are strongly correlated with event duration and event maximum intensity; the totals are more strongly correlated with event maximum intensity and event intensity in the regions with lower precipitation than the regions with higher precipitation. More than 90% of precipitation events are shorter than 6 h, and events with long duration normally occur in temperate monsoon (TM) and subtropical/tropical monsoon (ST) climate zones. Heavy precipitation events with a duration longer than 7 h generally occur more than seven times per year in TM and ST climate zones. Our results suggest that precipitation analyses should sufficiently consider the characteristics of events across different regions.

Identification of propagation characteristics from meteorological drought to hydrological drought using daily drought indices and lagged correlations analysis

Study regionThe Juam Dam area in Suncheon, Jeollanam-do, South Korea Study focusThis study aims to analyze drought propagation characteristics using time-lagged correlation analysis based on daily drought index, determining the lag time from meteorological drought to propagation into hydrological drought. The target period for correlation analysis is the onset date of the dry spell preceding the occurrence of hydrological drought and the termination date of the dry spell following the termination of the drought for each drought event. The Standardized Precipitation Index (SPI) at various time-scales for meteorological drought and the Standardized Reservoir Supply Index (SRSI) for hydrological drought were applied. New hydrological insights for the regionThis study presents the objectivity and accuracy of drought onset and termination date for drought propagation analysis through daily lagged correlation analysis. Through ROC analysis, SPI90, SPI180, and SPI365 are shown to increase by an average of 16.0 %, 8.8 %, and 6.0 %, respectively. From 1993–2023, long-term hydrological droughts lasting 2 years occurred 5 times, with a maximum duration of 408 days, magnitude −629, and severity −1.76. The daily lag between the multi-scale SPIs and SRSI of individual drought events presents the possibility of predicting hydrological drought through multiple regression analysis. This research provides insights for improving hydrological drought monitoring, prediction, and response strategies through results of individual propagation characteristics of drought events.

Introduction of the position of the Commissioner for Environmental Human Rights in Ukraine taking into account the increase in negative factors affecting the state of the environment

The article examines theoretical and legal issues related to the need to introduce the institution of the Commissioner for Environmental Rights in Ukraine. In order to clarify this issue, the legislation of Ukraine and international legal acts, the provisions of which relate to environmental human rights, are analyzed. In addition, the authors researched the foreign experience of various models of the implementation of the position of the environmental ombudsman – the USA, Great Britain, Austria and the Republic of the Philippines. Taking into account the increase in factors influencing the state of the environment, the issue of protecting violated human environmental rights is becoming increasingly important. It is especially important to ensure the protection of environmental rights in the period of martial law in connection with the mass of their violation by the aggressor state. The issue of the relationship between the environment and human rights is considered. The article proposes the introduction of the position of the Commissioner for Environmental Rights in Ukraine with the definition of his main tasks, in particular: the implementation of the state environmental policy and strategies for the sustainable development of regions in the field of environmental protection, the implementation of monitoring in order to detect violations of environmental human rights, the initiation of the investigation of committed violations in the absence of a statement from other individuals or legal entities about offenses, taking measures to prevent violations of environmental human rights, conducting educational and educational events for individuals and legal entities. Additionally, the grounds for the presence of regional representatives of the Environmental Ombudsman have been established. Attention is drawn to achieving the goal of sustainable and green economic development, taking into account climate goals, as well as protection of legal foundations, including environmental and social components.

Resistance of grassland productivity to drought and heatwave over a temperate semi-arid climate zone

Drought and heatwave are the primary climate extremes for vegetation productivity loss in the global temperate semi-arid grassland, challenging the ecosystem productivity stability in these areas. Previous studies have indicated a significant decline in the resistance of global grassland productivity to drought, but we still lack a systematic understanding of the mechanisms determining the spatiotemporal variations in grassland resistance to drought and heatwave. In this study, we focused on temperate semi-arid grasslands of China (TSGC) to assess the spatiotemporal variations of grassland productivity resistance to different climate extremes: compound dry-hot events, individual drought events, and individual heatwave events that occurred during 2000–2019. Based on the explainable machine learning model, we explored the resistance to the interaction of drought and heatwave and identify the dominant factors determining the spatiotemporal variations in resistance. The results revealed that grassland resistance to climate extremes had decreased in Xilingol Grassland and Mu Us Sandy Land, and had a not significant increase in Otindag Desert during 2000–2019. Human activities and the increase in CO2 concentration causes a decline in resistance in Mu Us Sandy Land, and the increase of VPD and shift of vegetation loss event timing caused a decline in resistance in Xilingol Grassland, while the weakening of climate extremes, especially the shortening of drought duration, increase the resistance in Otindag Desert. Mean annual temperature dominates the spatial differences in resistance among different grasslands. When drought and heatwave occur simultaneously, there is an additive effect on resistance and causes lower resistance to compound dry-hot events compared to individual drought and heatwave events. Our analysis provides crucial insights into understanding the impact of climate extremes on the temperate semi-arid grasslands of China.

Incidence of new onset type 2 diabetes in adults living with obesity treated with tirzepatide or semaglutide: real world evidence from an international retrospective cohort study

Tirzepatide, a novel dual agonist of glucagon-like-peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP), has demonstrated greater magnitude of weight loss compared to semaglutide in a phase 3 clinical trial. However, the effect of tirzepatide on incidence of type 2 diabetes (T2D) in individuals with overweight and obesity, and the effect on major adverse cardiovascular outcomes in individuals with pre-existing T2D, remains unknown. We performed a retrospective cohort study of anonymised electronic medical records using the TriNetX network (TriNetX LLC, Cambridge, MA, USA) a global federated database. The data used in this study was collected on 5th June 2024. Two cohorts of individuals were generated: 1) without pre-existing T2D and, 2) with T2D. We adopted an active comparator new user design on new initiations of either tirzepatide or semaglutide therapy. Analysis began from the index event which was defined as individuals on respective therapy for 6 months only. Analysis of outcomes was conducted off-drug, in individuals without a pre-existing history of the disease of interest. Individuals were followed up for 12 months post the index event. Primary outcome for cohort 1 was incidence of T2D, and for cohort 2 was composite: all-cause mortality, cerebral infarction, acute coronary syndrome, and heart failure. Secondary outcomes for cohort 1 were change in HbA1c and body weight and for cohort 2: incidence of micro- and macrovascular complications, suicidal ideation and/or attempt, and all-cause mortality. We propensity score matched (1:1) for potential confounders: baseline demographics, socioeconomic circumstances, HbA1c, weight, relevant co-morbidities, and anti-obesity, hypoglycaemic and cardioprotective agents. The study population without T2D consisted of 13,846 individuals, equally split between tirzepatide and semaglutide users. Tirzepatide was associated with both lower risk for incident T2D (HR 0.73, 95% CI 0.58-0.92, p<0.001) and greater weight loss (-7.7kg, [95% CI-6.8,-8.5kg], p<0.001), compared to semaglutide (-4.8kg, [95% CI-3.9,-5.6kg], p<0.001). In individuals with pre-existing T2D (n=8446), tirzepatide was associated with lower risk of the composite outcome (HR 0.54, 95% CI 0.38-0.76, p<0.001), cerebral infarction (HR 0.45, 95% CI 0.24-0.84, p=0.010) and all-cause mortality (HR 0.33, 95% CI 0.15-0.73, p=0.004) compared to semaglutide. Tirzepatide is associated with significantly reduced risk of developing T2D and major adverse cardiovascular events in individuals living with obesity and T2D respectively. Randomised controlled trials investigating the utility of dual incretin agonists in the primary prevention of T2D and cardiovascular disease in higher risk populations are now required. Nil.

Data-driven modelling of coastal storm erosion for real-time forecasting at a wave-dominated embayed beach

Emergency managers have an increasing need for tools to enhance preparedness to extreme coastal storms and support disaster risk reduction measures. With the emergence of Early Warning Systems (EWSs) for coastal storm hazards, a fundamental challenge is the accurate prediction of sandy beach erosion at lead times of days to weeks corresponding to an approaching storm event. This work presents a data-driven modelling approach to predict storm-driven beach erosion (shoreline change) using a large dataset of 276 individual storm events at Narrabeen-Collaroy Beach, SE Australia. Correlation analysis between individual storm characteristics and shoreline response at three locations along the embayment with varying exposure to the prevailing waves indicates that cumulative storm wave energy is the dominant driver of storm erosion at this site. This is followed by the pre-storm beach width, storm wave direction and to a minimal extent, storm wave period and water levels. A multi-linear regression model of storm erosion is developed and found to accurately predict shoreline change due to individual storm events (RMSE = 3.7 m–6.4 m). This work highlights the value of high-frequency shoreline data for storm erosion forecasting and provides a framework for real-time forecasting applications.

Structural basis for the activity of the type VII CRISPR-Cas system.

The newly identified type VII CRISPR-Cas candidate system uses a CRISPR RNA-guided ribonucleoprotein complex formed by Cas5 and Cas7 proteins to target RNA1. However, the RNA cleavage is executed by a dedicated Cas14 nuclease, which is distinct from the effector nucleases of the other CRISPR-Cas systems. Here we report seven cryo-electron microscopy structures of the Cas14-bound interference complex at different functional states. Cas14, a tetrameric protein in solution, is recruited to the Cas5-Cas7 complex in a target RNA-dependent manner. The N-terminal catalytic domain of Cas14 binds a stretch of the substrate RNA for cleavage, whereas the C-terminal domain is primarily responsible for tethering Cas14 to the Cas5-Cas7 complex. The biochemical cleavage assays corroborate the captured functional conformations, revealing that Cas14 binds to different sites on the Cas5-Cas7 complex to execute individual cleavage events. Notably, a plugged-in arginine of Cas7 sandwiched by a C-shaped clamp of C-terminal domain precisely modulates Cas14 binding. More interestingly, target RNA cleavage is altered by a complementary protospacer flanking sequence at the 5' end, but not at the 3' end. Altogether, our study elucidates critical molecular details underlying the assembly of the interference complex and substrate cleavage in the type VII CRISPR-Cas system, which may help rational engineering of the type VII CRISPR-Cas system for biotechnological applications.

Analysis of the periodic variation of pellet ablation radiation intensity in ASDEX Upgrade

Abstract In a future fusion reactor, the main fuelling method will likely rely on the injection of solid hydrogen pellets. Current predictions assume that this goal can be achieved, since being based on a technology which is already largely developed. However, this belief is founded on modelling tools that are usually aligned to the observation made in existing devices and then extrapolated to reactor conditions. This approach needs a sound consideration of its intrinsic restrictions and any observed feature not reproduced by the utilised codes should be applied to check their validation and possibly contribute to their refinement. One specific feature still lacking an explanation of a reasonable and self-consistent mechanism in the current models is the appearance of a phenomenon called striations, which are high frequency variations in the radiation emitted during the pellet ablation process. In order to provide a sound and reliable database for further considerations, a dedicated analysis of this effect has been performed on the mid-size tokamak ASDEX Upgrade. Therefore, such cases have been selected with the relevant signal recorded with sufficient temporal resolution during experiments covering a wide variation of plasma and pellet parameters which are regarded to be potentially influential on the striation pattern. In addition, it was ensured that for any specific case the observed behaviour was reproducible for several individual ablation events under identical conditions. In all cases considered, the observed radiation-intensity variations appear with a typical pattern showing a broad peak of frequencies in the range 50 to 150 kHz. This characteristic unveils a notable resilience against any parameter variation. This new collection of data can now act as firm basis to corroborate future modelling code-validation efforts. In addition, the analysis method can provide a relatively simple way of reviewing future modelling predictions.