bluuebunny/crossref_metadata_2025_split huggingface dataset:
Partisanship, Cross-Party Coalitions, and Social Policymaking in Brazil
Authors: Alves Daniel H. 
Published: May 2024

AbstractBrazil is among the few countries where income distribution has become fairer in recent decades. Its Gini coefficient fell significantly in the 2000s while the left-wing Workers’ Party government approved key equity-enhancing reforms in Congress. By analyzing hundreds of news pieces, legislative documents, and secondary sources, I show the strategies that incumbents from the left adopted to build and manage cross-party coalitions that allowed structural changes to materialize. This research is the first systematic effort to detail how three consequential redistributive policies in the areas of conditional cash-transfer programs, education, and minimum wages found their way through a fragmented legislature where the chief executive’s party was minoritarian. Findings add nuance to social policymaking and reveal that partisanship-based approaches to how inequality declined in Latin America require deeper complexification. In the Brazilian case, leftist presidents improved redistribution by investing in multiparty cooperative arrangements while ideology got diluted in the process.
THE MATHEMATICAL EXAMPLE OF GNOMONS IN ARISTOTLE, PHYSICS 3.4, 203a10–16
Authors: Salerno Lorenzo 
Published: May 2024

AbstractThis article examines a complex passage of Aristotle's Physics in which a Pythagorean doctrine is explained by means of a mathematical example involving gnomons. The traditional interpretation of this passage (proposed by Milhaud and Burnet) has recently been challenged by Ugaglia and Acerbi, who have proposed a new one. The aim of this article is to analyse difficulties in their account and to advance a new interpretation. All attempts at interpreting the passage so far have assumed that ‘gnomons’ should indicate ‘odd numbers’. In this article it is argued that the usage of ‘gnomon’ related to polygonal numbers, which is normally considered late, could be backdated to at least the fifth/fourth centuries b.c.; in particular, it explains the link between the philosophical explanandum and the mathematical explanans in Aristotle's passage.
A double-blind, randomized, placebo-controlled plus open trial of adjunctive suvorexant for treatment-resistant insomnia in patients with bipolar disorder
Authors: Cafaro Rita , Macellaro Monica , Suppes Trisha , Dell’Osso Bernardo , Ketter Terence , Ostacher Michael , Miller Shefali , Chang Lauren , Lyu Jihun , Wang Po W. 
Published: May 2024

AbstractBackgroundSleep pattern alteration is a core feature of bipolar disorder (BD), often challenging to treat and affecting clinical outcomes. Suvorexant, a hypnotic agent that decreases wakefulness, has shown promising results in treating primary insomnia. To date, data on its use in BD are lacking. This study evaluated the efficacy and tolerability of adjunctive suvorexant for treatment-resistant insomnia in BD patients.MethodsThirty-six BD outpatients (19 BDI, 69.4% female, 48.9 [±15.2] years) were randomized for 1 week to double-blind suvorexant (10–20 mg/day) versus placebo. Then, all subjects who completed the randomized phase were offered open suvorexant for 3 months. Subjective total sleep time (sTST) and objective total sleep time (oTST) were assessed.ResultsDuring the randomized control trial (RCT) phase, an overall increase in the oTST emerged, which was statistically significant for the Cole–Kripke algorithm (p = 0.035). The comparison between the suvorexant and placebo groups was limited by significant differences between measurements at baseline. During the open phase, no significant improvement was detected relative to either sTST and oTST. No adverse events nor major intolerances were reported.DiscussionEfficacy results are inconsistent. During the RCT phase, only a small increase in the objective oTST emerged, while during the open phase, no significant improvement was detected. While this is the first ever study of suvorexant in BD-related insomnia, the limitation of the small sample and the high rate of dropouts limits the generalizability of these findings. Larger studies are needed to assess suvorexant in treating BD-related insomnia.
Treading water: new data on the impact of AI ethics information sessions in classics and ancient language pedagogy
Authors: Ross Edward A. S. , Baines Jackie 
Published: May 2024

AbstractOver 2023, many universities and policy organisations in the higher education (HE) sector are working to create guiding principles and guidelines for the use of generative artificial intelligence (AI) in HE Teaching and Learning (T&L). Despite these guidelines, students remain unsure if and how they should use AI. This article discusses the AI information sessions held over the Autumn 2023 term in the Department of Classics at the University of Reading, which aimed to provide students with the knowledge and tools to make informed judgements about using AI in their studies. These sessions discussed the benefits and drawbacks of generative AI, highlighting training data, content policy, environmental impact, and examples of potential uses. Staff and student participants were surveyed before and after these information sessions to gather their opinions surrounding AI use. Although at least 60% of participants had previously used generative AI, 80% of participants were apprehensive of or against using generative AI tools for learning purposes following the AI information sessions. By providing staff and students with the ethical considerations surrounding generative AI, they can make an informed judgement about using AI in their work without misplaced faith or excessive fear.
Natural Hazards in a Changing World: Methods for Analyzing Trends and Non‐Linear Changes
Authors: Vogel K. , Sieg T. , Veh G. , Fiedler B. , Moran T. , Peter M. , Rottler E. , Bronstert A. 
Published: May 2024

AbstractEstimating the frequency and magnitude of natural hazards largely hinges on stationary models, which do not account for changes in the climatological, hydrological, and geophysical baseline conditions. Using five diverse case studies encompassing various natural hazard types, we present advanced statistical and machine learning methods to analyze and model transient states from long‐term inventory data. A novel storminess metric reveals increasing European winter windstorm severity from 1950 to 2010. Non‐stationary extreme value models quantify trends, seasonal shifts, and regional differences in extreme precipitation for Germany between 1941 and 2021. Utilizing quantile sampling and empirical mode decomposition on 148 years of daily weather and discharge data in the European Alps, we assess the impacts of changing snow cover, precipitation, and anthropogenic river network modifications on river runoff. Moreover, a probabilistic framework estimates return periods of glacier lake outburst floods in the Himalayas, demonstrating large differences in 100‐year flood levels. Utilizing a Bayesian change point algorithm, we track the onset of increased seismicity in the southern central United States and find correlation with wastewater injections into deep wells. In conclusion, data science reveals transient states for very different natural hazard types, characterized by diverse forms of change, ranging from gradual trends to sudden change points and from altered seasonality to overall intensity variations. In synergy with the physical understanding of Earth science, we gain important new insights into the dynamics of the studied hazards and their possible mechanisms.
E7-mediated repression of miR-203 promotes LASP1-dependent proliferation in HPV-positive cervical cancer
Authors: Patterson Molly R. , Meijers Aniek S. , Ryder Emma L. , Wootton Louisa M. , Scarth James A. , Evans Debra , Turner Amy L. , Wasson Christopher W. , Darell Janne E. , Theobald Daisy A. , Cogan Joseph A. , James Claire D. , Wang Miao , Ladbury John E. , Morgan Iain M. , Samson Adel , Morgan Ethan L. , Macdonald Andrew 
Published: May 2024

AbstractHuman papillomaviruses (HPV) are a major cause of malignancy, contributing to ~5% of all human cancers worldwide, including most cervical cancer cases and a growing number of anogenital and oral cancers. The major HPV viral oncogenes, E6 and E7, manipulate many host cellular pathways that promote cell proliferation and survival, predisposing infected cells to malignant transformation. Despite the availability of highly effective vaccines, there are still no specific anti-viral therapies targeting HPV or treatments for HPV-associated cancers. As such, a better understanding of viral-host interactions may allow the identification of novel therapeutic targets. Here, we demonstrate that the actin-binding protein LASP1 is upregulated in cervical cancer and significantly correlates with a poorer overall survival. In HPV positive cervical cancer, LASP1 depletion significantly inhibited the oncogenic phenotype in vitro, whilst having minimal effects in HPV negative cervical cancer cells. Furthermore, we demonstrate that the LASP1 SH3 domain is essential for LASP1-mediated oncogenicity in these cells. Mechanistically, we show that HPV E7 regulates LASP1 at the post-transcriptional level by repressing the expression of miR-203, which negatively regulates LASP1 mRNA levels by binding to its 3’UTR. Finally, we demonstrate that LASP1 expression is required for the growth of HPV positive cervical cancer cells in an in vivo tumourigenicity model. Together, these data demonstrate that HPV induces LASP1 expression to promote proliferation and survival in cervical cancer, thus identifying a potential therapeutic target in these cancers.
DEAD-box helicase 17 (DDX17) protects cardiac function by promoting mitochondrial homeostasis in heart failure
Authors: Yan Mingjing , Gao Junpeng , Lan Ming , Wang Que , Cao Yuan , Zheng Yuxuan , Yang Yao , Li Wenlin , Yu Xiaoxue , Huang Xiuqing , Dou Lin , Liu Bing , Liu Junmeng , Cheng Hongqiang , Ouyang Kunfu , Xu Kun , Sun Shenghui , Liu Jin , Tang Weiqing , Zhang Xiyue , Man Yong , Sun Liang , Cai Jianping , He Qing , Tang Fuchou , Li Jian , Shen Tao 
Published: May 2024

AbstractDEAD-box helicase 17 (DDX17) is a typical member of the DEAD-box family with transcriptional cofactor activity. Although DDX17 is abundantly expressed in the myocardium, its role in heart is not fully understood. We generated cardiomyocyte-specific Ddx17-knockout mice (Ddx17-cKO), cardiomyocyte-specific Ddx17 transgenic mice (Ddx17-Tg), and various models of cardiomyocyte injury and heart failure (HF). DDX17 is downregulated in the myocardium of mouse models of heart failure and cardiomyocyte injury. Cardiomyocyte-specific knockout of Ddx17 promotes autophagic flux blockage and cardiomyocyte apoptosis, leading to progressive cardiac dysfunction, maladaptive remodeling and progression to heart failure. Restoration of DDX17 expression in cardiomyocytes protects cardiac function under pathological conditions. Further studies showed that DDX17 can bind to the transcriptional repressor B-cell lymphoma 6 (BCL6) and inhibit the expression of dynamin-related protein 1 (DRP1). When DDX17 expression is reduced, transcriptional repression of BCL6 is attenuated, leading to increased DRP1 expression and mitochondrial fission, which in turn leads to impaired mitochondrial homeostasis and heart failure. We also investigated the correlation of DDX17 expression with cardiac function and DRP1 expression in myocardial biopsy samples from patients with heart failure. These findings suggest that DDX17 protects cardiac function by promoting mitochondrial homeostasis through the BCL6-DRP1 pathway in heart failure.
Two distinct charge density waves in the quasi-one-dimensional metal Sr0.95NbO3.37 revealed by resonant soft X-ray scattering
Authors: Fauzi Angga Dito , Diao Caozheng , Whitcher Thomas J. , Lichtenberg Frank , Yang Ping , Breese Mark B. H. , Rusydi Andrivo 
Published: May 2024

Abstract
The interplay of electron-electron and electron-lattice interactions plays an important role in determining exotic properties in strongly correlated electron systems. Of particular interest is quasi-one-dimensional SrNbO
x
metals, which are perovskite-related layered Carpy-Galy phases. Quasi-one-dimensional metals often exhibit a charge density wave (CDW) accompanied by lattice distortion; however, to date, the presence of a CDW in a quasi-one-dimensional metallic Carpy-Galy phase has not been detected. Here, we report the discovery of two distinct and simultaneous commensurate CDWs in Sr0.95NbO3.37 using resonant soft X-ray scattering (RSXS), namely, an electronic-(001) superlattice below ~ 200 K and an electronic-(002) Bragg peak. We also observe a non-electronic-(002) Bragg peak showing lattice distortion below ~ 150 K. Through the temperature dependence and resonance profile of these CDWs and the lattice distortion, as well as the relationship between the wavelength and charge density, these CDWs are determined to be Wigner crystals and Peierls-like instabilities, respectively. The electron‒electron interaction is strong and dominant even up to 350 K, and upon cooling, it drives the electron–lattice interaction. The correlation length of the electronic-(001) superlattice is surprisingly larger than that of the electronic-(002) Bragg peak, and the superlattice is highly anisotropic. Supported by theoretical calculations, the CDWs are determined by the charge anisotropy and redistribution between the O-2p and Nb-4d orbitals, and the strength of the electronic-(001) superlattice is within the strong coupling limit.
Ocular injuries among patients with major trauma in England and Wales from 2004 to 2021
Authors: Bashir Mohammed Talha , Bouamra Omar , Kirwan James F. , Lecky Fiona E. , Bourne Rupert R. A. 
Published: May 2024

Abstract
Background
Ocular trauma is a significant cause of blindness and is often missed in polytrauma. No contemporary studies report eye injuries in the setting of severe trauma in the UK. We investigated ocular injury epidemiology and trends among patients suffering major trauma in England and Wales from 2004 to 2021.

Methods
We conducted a retrospective study utilising the Trauma Audit and Research Network (TARN) registry. Major trauma cases with concomitant eye injuries were included. Major trauma was defined as Injury Severity Score >15. Ocular injuries included globe, cranial nerve II, III, IV, and VI, and tear duct injuries. Orbital fractures and adnexal and lid injuries were not included. Demographics, injury profiles, and outcomes were extracted. We report descriptive statistics and 3-yearly trends.

Results
Of 287 267 major trauma cases, 2368 (0.82%) had ocular injuries: prevalence decreased from 1.87% to 0.66% over the 2004–2021 period (P < 0.0001). Males comprised 72.2% of ocular injury cases, median age was 34.5 years. The proportion of ocular injuries from road traffic collisions fell from 43.1% to 25.3% while fall-related injuries increased and predominated (37.6% in 2019/21). Concomitant head injury occurred in 86.6%. The most common site of ocular injury was the conjunctiva (29.3%). Compared to previous TARN data (1989–2004), retinal injuries were threefold more prevalent (5.9% vs 18.5%), while corneal injuries were less (31.0% vs 6.6%).

Conclusions
Whilst identifying eye injuries in major trauma is challenging, it appears ocular injury epidemiology in this setting has shifted, though overall prevalence is low. These findings may inform prevention strategies, guideline development and resource allocation.
Heterogeneity in strategy use during arbitration between experiential and observational learning
Authors: Charpentier Caroline J. , Wu Qianying , Min Seokyoung , Ding Weilun , Cockburn Jeffrey , O’Doherty John P. 
Published: May 2024

AbstractTo navigate our complex social world, it is crucial to deploy multiple learning strategies, such as learning from directly experiencing action outcomes or from observing other people’s behavior. Despite the prevalence of experiential and observational learning in humans and other social animals, it remains unclear how people favor one strategy over the other depending on the environment, and how individuals vary in their strategy use. Here, we describe an arbitration mechanism in which the prediction errors associated with each learning strategy influence their weight over behavior. We designed an online behavioral task to test our computational model, and found that while a substantial proportion of participants relied on the proposed arbitration mechanism, there was some meaningful heterogeneity in how people solved this task. Four other groups were identified: those who used a fixed mixture between the two strategies, those who relied on a single strategy and non-learners with irrelevant strategies. Furthermore, groups were found to differ on key behavioral signatures, and on transdiagnostic symptom dimensions, in particular autism traits and anxiety. Together, these results demonstrate how large heterogeneous datasets and computational methods can be leveraged to better characterize individual differences.
Tunnel junctions based on interfacial two dimensional ferroelectrics
Authors: Gao Yunze , Weston Astrid , Enaldiev Vladimir , Li Xiao , Wang Wendong , Nunn James E. , Soltero Isaac , Castanon Eli G. , Carl Amy , De Latour Hugo , Summerfield Alex , Hamer Matthew , Howarth James , Clark Nicholas , Wilson Neil R. , Kretinin Andrey V. , Fal’ko Vladimir I. , Gorbachev Roman 
Published: May 2024

AbstractVan der Waals heterostructures have opened new opportunities to develop atomically thin (opto)electronic devices with a wide range of functionalities. The recent focus on manipulating the interlayer twist angle has led to the observation of out-of-plane room temperature ferroelectricity in twisted rhombohedral bilayers of transition metal dichalcogenides. Here we explore the switching behaviour of sliding ferroelectricity using scanning probe microscopy domain mapping and tunnelling transport measurements. We observe well-pronounced ambipolar switching behaviour in ferroelectric tunnelling junctions with composite ferroelectric/non-polar insulator barriers and support our experimental results with complementary theoretical modelling. Furthermore, we show that the switching behaviour is strongly influenced by the underlying domain structure, allowing the fabrication of diverse ferroelectric tunnelling junction devices with various functionalities. We show that to observe the polarisation reversal, at least one partial dislocation must be present in the device area. This behaviour is drastically different from that of conventional ferroelectric materials, and its understanding is an important milestone for the future development of optoelectronic devices based on sliding ferroelectricity.
Convergent evolution of fern nectaries facilitated independent recruitment of ant-bodyguards from flowering plants
Authors: Suissa Jacob S. , Li Fay-Wei , Moreau Corrie S. 
Published: May 2024

AbstractPlant–herbivore interactions reciprocally influence species’ evolutionary trajectories. These interactions have led to many physical and chemical defenses across the plant kingdom. Some plants have even evolved indirect defense strategies to outsource their protection to ant bodyguards by bribing them with a sugary reward (nectar). Identifying the evolutionary processes underpinning these indirect defenses provide insight into the evolution of plant-animal interactions. Using a cross-kingdom, phylogenetic approach, we examined the convergent evolution of ant-guarding nectaries across ferns and flowering plants. Here, we discover that nectaries originated in ferns and flowering plants concurrently during the Cretaceous, coinciding with the rise of plant associations in ants. While nectaries in flowering plants evolved steadily through time, ferns showed a pronounced lag of nearly 100 My between their origin and subsequent diversification in the Cenozoic. Importantly, we find that as ferns transitioned from the forest floor into the canopy, they secondarily recruited ant bodyguards from existing ant-angiosperm relationships.
The adaptive value of density-dependent habitat specialization and social network centrality
Authors: Webber Quinn M. R. , Laforge Michel P. , Bonar Maegwin , Vander Wal Eric 
Published: May 2024

AbstractDensity dependence is a fundamental ecological process. In particular, animal habitat selection and social behavior often affect fitness in a density-dependent manner. The Ideal Free Distribution (IFD) and niche variation hypothesis (NVH) present distinct predictions associated with Optimal Foraging Theory about how the effect of habitat selection on fitness varies with population density. Using caribou (Rangifer tarandus) in Canada as a model system, we test competing hypotheses about how habitat specialization, social behavior, and annual reproductive success (co)vary across a population density gradient. Within a behavioral reaction norm framework, we estimate repeatability, behavioral plasticity, and covariance among social behavior and habitat selection to investigate the adaptive value of sociality and habitat selection. In support of NVH, but not the IFD, we find that at high density habitat specialists had higher annual reproductive success than generalists, but were also less social than generalists, suggesting the possibility that specialists were less social to avoid competition. Our study supports niche variation as a mechanism for density-dependent habitat specialization.
Biochemical-free enrichment or depletion of RNA classes in real-time during direct RNA sequencing with RISER
Authors: Sneddon Alexandra , Ravindran Agin , Shanmuganandam Somasundhari , Kanchi Madhu , Hein Nadine , Jiang Simon , Shirokikh Nikolay , Eyras Eduardo 
Published: May 2024

AbstractThe heterogeneous composition of cellular transcriptomes poses a major challenge for detecting weakly expressed RNA classes, as they can be obscured by abundant RNAs. Although biochemical protocols can enrich or deplete specified RNAs, they are time-consuming, expensive and can compromise RNA integrity. Here we introduce RISER, a biochemical-free technology for the real-time enrichment or depletion of RNA classes. RISER performs selective rejection of molecules during direct RNA sequencing by identifying RNA classes directly from nanopore signals with deep learning and communicating with the sequencing hardware in real time. By targeting the dominant messenger and mitochondrial RNA classes for depletion, RISER reduces their respective read counts by more than 85%, resulting in an increase in sequencing depth of 47% on average for long non-coding RNAs. We also apply RISER for the depletion of globin mRNA in whole blood, achieving a decrease in globin reads by more than 90% as well as an increase in non-globin reads by 16% on average. Furthermore, using a GPU or a CPU, RISER is faster than GPU-accelerated basecalling and mapping. RISER’s modular and retrainable software and intuitive command-line interface allow easy adaptation to other RNA classes. RISER is available at https://github.com/comprna/riser.