bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sequence variations associated with novel purple-pericarp super-sweetcorn compared to its purple-pericarp maize and white super-sweetcorn parents
Authors: Anirban Apurba , Masouleh Ardashir Kharabian , Henry Robert J. , O’Hare Tim J. 
Published: September 2023

AbstractRecently, a novel purple-pericarp super-sweetcorn line, ‘Tim1’ (A1A1.sh2sh2) was derived from the purple-pericarp maize ‘Costa Rica’ (A1Sh2.A1Sh2) and white shrunken2 (sh2) super-sweetcorn ‘Tims-white’ (a1sh2.a1sh2), however, information regarding anthocyanin biosynthesis genes controlling purple colour and sweetness gene is lacking. Specific sequence differences in the CDS (coding DNA sequence) and promoter regions of the anthocyanin biosynthesis structural genes, anthocyanin1 (A1), purple aleurone1 (Pr1) and regulatory genes, purple plant1 (Pl1), plant colour1 (B1), coloured1 (R1), and the sweetcorn structural gene, shrunken2 (sh2) were investigated using the publicly available annotated yellow starchy maize, B73 (NAM5.0) as a reference genome. In the CDS region, the A1, Pl1 and R1 gene sequence differences of ‘Tim1’ and ‘Costa Rica’ were similar, as they control purple-pericarp pigmentation. However, the B1 gene showed similarity between the ‘Tim1’ and ‘Tims-white’ lines, which may indicate that it does not have a role in controlling pericarp colour, unlike the report of a previous study. In the case of the Pr1 gene, in contrast to ‘Costa Rica’, 6- and 8-bp dinucleotide (TA) repeats were observed in the promoter region of the ‘Tims-white’ and ‘Tim1’ lines, respectively, indicating the defective functionality (redder colour in ‘Tim1’ rather than purple in ‘Costa Rica’) of the recessive pr1 allele. In sweetcorn, the structural gene (sh2), sequence showed similarity between purple-sweet ‘Tim1’ and its white-sweet parent ‘Tims-white’, as both display a shrunken phenotype in their mature kernels. These findings revealed that the developed purple-sweet line is different to the reference yellow-nonsweet line in both the anthocyanin biosynthesis and sweetcorn genes.
Development of a volcanic risk management system at Mount St. Helens—1980 to present
Authors: Wright Heather M. N. , Driedger Carolyn L. , Pallister John S. , Newhall Christopher G. , Clynne Michael A. , Ewert John W. 
Published: September 2023

AbstractHere, we review volcanic risk management at Mount St. Helens from the perspective of the US Geological Survey’s (USGS) experience over the four decades since its 18 May 1980 climactic eruption. Prior to 1980, volcano monitoring, multidisciplinary eruption forecasting, and interagency coordination for eruption response were new to the Cascade Range. A Mount St. Helens volcano hazards assessment had recently been published and volcanic crisis response capabilities tested during 1975 thermal unrest at nearby Mount Baker. Volcanic unrest began in March 1980, accelerating the rate of advance of volcano monitoring, prompting coordinated eruption forecasting and hazards communication, and motivating emergency response planning. The destruction caused by the 18 May 1980 eruption led to an enormous emergency response effort and prompted extensive coordination and planning for continuing eruptive activity. Eruptions continued with pulsatory dome growth and explosive eruptions over the following 6 years and with transport of sediment downstream over many more. In response, USGS scientists and their partners expanded their staffing, deployed new instruments, developed new tools (including the first use of a volcanic event tree) for eruption forecasting, and created new pathways for agency internal and external communication. Involvement in the Mount St. Helens response motivated the establishment of response measures at other Cascade Range volcanoes. Since assembly during the early and mid-1990s, volcano hazard working groups continue to unite scientists, emergency and land managers, tribal nations, and community leaders in common cause for the promotion of risk reduction. By the onset of renewed volcanic activity in 2004, these new systems enabled a more efficient response that was greatly facilitated by the participation of organizations within volcano hazard working groups. Although the magnitude of the 2004 eruptive sequence was much smaller than that of 1980, a new challenge emerged focused on hazard communication demands. Since 2008, our understanding of Mount St. Helens volcanic system has improved, helping us refine hazard assessments and eruption forecasts. Some professions have worked independently to apply the Mount St. Helens story to their products and services. Planning meetings and working group activities fortify partnerships among information disseminators, policy and decision-makers, scientists, and communities. We call the sum of these pieces the Volcanic Risk Management System (VRMS). In its most robust form, the VRMS encompasses effective production and coordinated exchange of volcano hazards and risk information among all interested parties.
Blast-Fragmentation Prediction Derived From the Fragment Size-Energy Fan Concept
Authors: Sanchidrián José A. , Ouchterlony Finn 
Published: September 2023

AbstractThe size-energy fan concept formulation is developed into a prediction model of the fragment size distribution from blast design and rock mass variables. The fragment size is scaled with a characteristic size of the blast and the rock mass discontinuity spacing and orientation. The energy is scaled with the rock strength and the cooperation degree between adjacent holes. A cooperation function is introduced that modifies the energy with the in-row delay, non-dimensionalized with the P-wave velocity and the holes spacing. The cooperation increases as the delay increases up to a certain value, beyond which the cooperation decreases and the fragmentation is coarser. Several prediction models are presented, using the Swebrec-based fan slopes function of the percent passing as starting point, with subsequent improvements involving alternative formulations of that function, that encompass a non-Swebrec underlying distribution of the fragment size. The models include 12 to 14 parameters, controlling the effect on fragmentation of the variables describing the rock mass, the explosive and initiation sequence, and the blast geometry. The parameters are determined from fits to the data base that was used for the xP-frag model, expanded with seventeen additional blasts. All fragmentation data used are mass size distributions determined by sieving and weighing of blasted muckpiles. The different models are introduced sequentially and discussed. The models presented improve the performance of xP-frag, while including a much smaller number of parameters and, unlike xP-frag, keeping the physically sound size-energy fan pattern, effectively extending its nature from a descriptive frame of the fragmentation-energy relations, to a predictive tool.
InSAR time series and LSTM model to support early warning detection tools of ground instabilities: mining site case studies
Authors: Mirmazloumi S. Mohammad , Wassie Yismaw , Nava Lorenzo , Cuevas-González María , Crosetto Michele , Monserrat Oriol 
Published: September 2023

AbstractEarly alarm systems can activate vital precautions for saving lives and the economy threatened by natural hazards and human activities. Interferometric synthetic aperture radar (InSAR) products generate valuable ground motion data with high spatial and temporal resolutions. Integrating the InSAR products and forecasting models make possible to set up early alarm systems to monitor vulnerable areas. This study proposes a technical support to early warning detection tools of ground instabilities using machine learning and InSAR time series that is capable of forecasting regions affected by potential collapses. A long short-term memory (LSTM) model is tailored to predict ground movements in three forecast ranges (i.e., SAR observations): 3, 4, and 5 multistep. A contribution of the proposed strategy is utilizing adjacent time series to decrease the possibility of falsely detecting safe regions as significant movements. The proposed tool offers ground motion-based outcomes that can be interpreted and utilized by experts to activate early alarms to reduce the consequences of possible failures in vulnerable infrastructures, such as mining areas. Three case studies in Spain, Brazil, and Australia, where fatal incidents happened, are analyzed by the proposed early alert detector to illustrate the impact of chosen temporal and spatial ranges. Since most early alarm systems are site dependent, we propose a general tool to be interpreted by experts for activating reliable alarms. The results show that the proposed tool can identify potential regions before collapse in all case studies. In addition, the tool can suggest an optimum selection of InSAR temporal (i.e., number of images) and spatial (i.e., adjacent measurement points) combinations based on the available SAR images and the characteristics of the study area.
Admissibility of Localizations of Crossed Modules
Authors: Monjon Olivia , Scherer Jérôme , Sterck Florence 
Published: September 2023

AbstractThe correspondence between the concept of conditional flatness and admissibility in the sense of Galois appears in the context of localization functors in any semi-abelian category admitting a fiberwise localization. It is then natural to wonder what happens in the category of crossed modules where fiberwise localization is not always available. In this article, we establish an equivalence between conditional flatness and admissibility in the sense of Galois (for the class of regular epimorphisms) for regular-epi localization functors. We use this equivalence to prove that nullification functors are admissible for the class of regular epimorphisms, even if the kernels of their localization morphisms are not acyclic.
The Value of Using Tests in Education as Tools for Learning—Not Just for Assessment
Authors: Murphy Dillon H. , Little Jeri L. , Bjork Elizabeth L. 
Published: September 2023

AbstractAlthough students tend to dislike exams, tests—broadly defined in the present commentary as opportunities to practice retrieving to-be-learned information—can function as one of the most powerful learning tools. However, tests have a variety of attributes that affect their efficacy as a learning tool. For example, tests can have high and low stakes (i.e., the proportion of a student’s grade the exam is worth), vary in frequency, cover different ranges of course content (e.g., cumulative versus non-cumulative exams), appear in many forms (e.g., multiple-choice versus short answer), and occur before or after the presentation of what is to be learned. In this commentary, we discuss how these different approaches to test design can impact the ability of tests to enhance learning and how their use as instruments of learning—not just means of assessment—can benefit long-term learning. We suggest that instructors use frequent, low-stakes, cumulative exams and a variety of test formats (e.g., cued recall, multiple-choice, and true/false) and give students exams both prior to learning and following the presentation of the to-be-learned material.
Is FDI inflow bad for environmental sustainability?
Authors: Tsoy Lyubov , Heshmati Almas 
Published: September 2023

AbstractIn the last few years, discussions and debates around environmental sustainability have become a key goal of the global agenda. This is because the latest studies and our direct experiences of the consequences of environmental degradation and climate change are showing that economic models need some urgent changes. The goal of this paper was to investigate the effects of foreign direct investment (FDI) flow on environmental sustainability globally. The balanced panel data of 100 countries from 2000 to 2020 were used for empirical analysis to understand the relationship between FDI inflow and environmental performance index (EPI) for countries with different income levels. The estimation is made using the two-step system GMM model as it gives more robust and efficient results in this study. The results of the dynamic panel model do not support the pollution haven hypothesis, i.e., FDI inflow was not found to have any statistically significant effect on EPI. The findings of the paper suggest that to improve environmental quality globally, it is important for governments to invest more in renewable energy projects as clean energy consumption can be one of the most efficient solutions for reducing the impact of climate change. Moreover, countries need to reduce the unemployment rate as it significantly improves the environmental quality according to our estimation results.
The Corona Truth Wars: Epistemic Disputes and Societal Conflicts around a Pandemic—An Introduction to the Special Issue
Authors: Harambam Jaron , Voss Ehler 
Published: September 2023

AbstractEver since the start of the Corona pandemic, different and often conflicting views have emerged about the virus and how to appropriately deal with it. Such epistemic, societal, and economic criticisms, including those about government imposed measures, have often been dismissed as dangerous forms of conspiratorial disinformation that should be (and have been) excluded from the realm of reasonable political discussion. However, since these critiques of emerging hegemonic knowledge and policies often involve significant and complex questioning of epistemic and political claims, and since corresponding plausibilities change over time, such clear distinctions between correct knowledge and foolish, fraudulent, and/or dangerous, disinformation are not easy to draw. In fact, they can be considered political acts in these epistemic disputes over the pandemic. These conflicts, which we refer to as the “Corona Truth Wars,” are not just about knowledge, but have turned into societal conflicts and even outright identity wars that run through families, circles of friends, organizations, and entire societies. In this special issue, we illuminate these dynamics by bringing together a range of scholars who have been struck by the complexity of these controversies and their far-reaching social consequences. Far from understanding these controversies as simple dichotomies between truth and disinformation, or between disinterested science and manipulative politics, these scholars are interested in the various ways in which these dimensions are intertwined. Building on a long tradition of exploring (scientific) knowledge controversies, the six contributions to this special issue show how epistemic struggles over truth are not only fought in the realm of science, but increasingly manifest and interact in everyday politics, social media platforms, daily talk shows, and family dinners. The scholars brought together in this issue, with diverse disciplinary backgrounds and from different geographical regions (Denmark, France, Germany, the Czech Republic, and Israel), present their studies on the various epistemic and social conflicts that have emerged during the Corona pandemic of the last three years.
Bluetongue virus seroprevalence and risk factor analysis in cattle and water buffalo in southern Italy (Campania region)
Authors: Ferrara Gianmarco , Improda Elvira , Piscopo Federica , Esposito Riccardo , Iovane Giuseppe , Pagnini Ugo , Montagnaro Serena 
Published: September 2023

AbstractBluetongue is an arthropod-borne viral infection that is notifiable in several countries and causes significant economic losses and major concerns for ruminant trade. In this study, we investigated bluetongue 1seroprevalence in the Campania region, southern Italy, in cattle and buffalo populations, and assessed which factors were correlated with a high risk of exposure. The infection was widespread, as evidenced by the high individual (43.6%) and herd prevalence (85.4%). The highest prevalence was found in adult animals. Among the climatic factors analyzed, average temperature played a prominent role, being capable of affecting the probability of being positive for this infection. Surprisingly, exposure to Schmallenberg virus did not predispose animals to be positive for bluetongue virus, even though these infections share the same vector (Culicoides). Our data, consistent with those in the literature, suggest the transversal spread of bluetongue virus in the Mediterranean area, and indicate a limited co-exposure rate between Bluetongue and Schmallenberg viruses.
Invasive Coronary Assessment in Myocardial Ischemia with No Obstructive Coronary Arteries
Authors: Takahashi Tatsunori , Gupta Aakriti , Samuels Bruce A. , Wei Janet 
Published: September 2023

Abstract
Purpose of Review
The purpose of this review is threefold: (i) to give an overview of well-established invasive methods for assessing patients with ischemia with no obstructive coronary arteries (INOCA) in the cardiac catheterization laboratory; (ii) to describe the prognostic and treatment implications based on these findings, and (iii) to discuss current knowledge gaps and future perspectives.

Recent Findings
Recent studies have demonstrated that invasive coronary function testing not only allows for risk stratification of patients with INOCA but also guides medical therapy with improvement in symptoms and quality of life. Based on these findings, invasive coronary function assessment is now a class 2a recommendation in the 2021 ACC/AHA chest pain guideline to improve the diagnosis of coronary microvascular dysfunction and to enhance risk stratification.

Summary
Invasive functional testing for patients with INOCA is well established and easily performed in the catheterization laboratory. Comprehensive invasive assessment is a key to differentiating INOCA endotypes and optimizing both medical therapy and preventive strategies including lifestyle modification.
Socioeconomic and psychosocial determinants of substance misuse – a national perspective
Authors: Stephenson Lilli , Van Den Heuvel Corinna , Byard Roger W. 
Published: September 2023

Abstract
Accurate estimates of population drug use and an understanding of the factors that influence substance choice are essential for the development of appropriate and targeted prevention strategies and campaigns. This review aims to provide an overview of the socioeconomic and psychosocial factors that influence substance use patterns within the Australian population through exploration of current and historical examples of substance misuse. Australia’s comparatively large online drug market is reflective of the country’s relative geographic isolation and high local drug prices. Legislation, particularly relating to cannabis cultivation and personal use, has evolved significantly in response to increased scientific and commercial applications and changing attitudes towards medical and personal use. Methylamphetamine use is disproportionately high, attributed to Australia’s geographic location, high rates of local manufacture, steady cost, and increased purity. Despite the increased cost of cocaine over time, the profile of users appears to dictate rates of use. The prevalence of injecting drug use is driven by a lack of education, perceived risk, stigma, and other social factors. Additionally, psychosocial factors also contribute to substance misuse among specific population subgroups such as petrol sniffing among Indigenous Australians. Understanding the reasons for geographical variability in illicit drug use assists in the interpretation of substance-associated behavior in specific groups/populations and in guiding future intervention efforts and predictions of emerging trends. In addition, an understanding of factors influencing local drug usage may assist forensic practitioners in evaluating the occurrence and effects of particular substances that may emerge as significant factors in drug-related deaths.
Sleep-related attentional bias does not associate with symptoms of ADHD in a sample of younger adults
Authors: Bondopadhyay Upasana , Coogan Andrew N. 
Published: September 2023

AbstractSleep-related attentional bias, wherein exaggerated attention is directed to sleep-related stimuli, has been proposed to be part of the cognitive processes that underpin the development and perpetuation of insomnia. Attention deficit hyperactivity disorder (ADHD) is commonly associated with clinically significant sleep disturbances, although the nature of the relationship between ADHD and sleep is not well understood. We hypothesised that ADHD symptoms would associate with greater attentional bias to sleep-related stimuli. We used an emotional Stroop task with sleep-related words to assess the presence of sleep attentional bias in a sample of 155 younger adults. ADHD symptoms and consistency with the presence of ADHD was assessed with the Adult ADHD Self Report Screener and insomnia symptoms and probability for the presence of insomnia disorder was assessed with the Sleep Condition Indicator. ADHD symptoms and consistency, and insomnia symptoms and probability for the presence of insomnia disorder, were not found to associate with sleep attentional bias scores. Sleep attentional bias also did not associate with chronotype or social jetlag, but habitual use of an alarm clock on work-free days associated with greater sleep attentional bias. As such, we did not find evidence to support the hypothesis that ADHD symptoms are associated with sleep attentional bias in a sample of healthy younger adults.
New relevant chorological data on sedges (Cyperaceae) of Peru
Authors: Jiménez-Mejías P. , García-Moro P. , Tiburcio R. M. Gonzales , Cano A. , Martín-Bravo S. 
Published: September 2023

SummaryWe present relevant records of nine species of sedges (Cyperaceae) for Peru. For the genus Carex, we present two new national records (C. haematopus, C. lepida), plus relevant data for another six hitherto poorly known species. We also present the first record of Trichophorum rigidum subsp. ecuadoriense for Peru.
Synthetic mixture of sand and shale: how conductor (shale) and saturation influence electrical characteristics
Authors: Gomaa Mohamed M. , Elshenawy Ahmed M. , Basheer Alhussein Adham , Moawad Mostafa , Kotb Adel 
Published: September 2023

AbstractIn the petroleum sector, spectral-induced polarization (SIP) can detect low-frequency electrical characteristics in rocks without causing any damage. Measurements from 1 mHz to 100 kHz were conducted at ambient temperature for synthetic shale sand combinations from Gabel El-Galala, Cairo, Egypt. Because of an increase in the relative conductor (shale) concentration despite a reduction in the relative insulator (sand) concentration, and the effect of increasing saturation, this is the first study to explain the electrical impact of shale sand combination. We will also look into its saturation and frequency to further model and analyze shale with electrical characteristics. Both conductivity and impedance decrease regarding sand's presence. The dielectric constant increases with increasing shale level and saturation below the percolation threshold but drops beyond it. Material rich in shale has lower impedance than material rich in sand. Concentrating and saturating the shale in the synthetic sand enhanced its electrical conductivity. Ionized liquid and the conductive minerals present in shale also contribute to this improvement. The mixture's electrical characteristics improved significantly as the frequency rose. Low-frequency analysis shows that the samples have high conductive and dielectric constants. These investigations could improve oil and gas recovery by illuminating the electrical characteristics of the reservoir rock.