bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flags of sheaves, quivers and symmetric polynomials
Authors: Bonelli Giulio , Fasola Nadir , Tanzini Alessandro 
Published: September 2024

Abstract
We study a quiver description of the nested Hilbert scheme of points on the affine plane and its higher rank generalization – that is, the moduli space of flags of framed torsion-free sheaves on the projective plane. We show that stable representations of the quiver provide an ADHM-like construction for such moduli spaces. We introduce a natural torus action and use equivariant localization to compute some of their (virtual) topological invariants, including the case of compact toric surfaces. We conjecture that the generating function of holomorphic Euler characteristics for rank one is given in terms of polynomials in the equivariant weights, which, for specific numerical types, coincide with (modified) Macdonald polynomials. From the physics viewpoint, the quivers we study describe a class of surface defects in four-dimensional supersymmetric gauge theories in terms of nested instantons.
Confronting the Deportation State: Black American Responses to Immigrant Expulsion in the Interwar Period
Authors: Pope-Obeda Emily 
Published: September 2024

AbstractThis article explores responses in the Black press to the rapidly expanding U.S. deportation regime during the interwar period. While their perspectives have been largely absent from scholarship on deportation, Black journalists, editorialists, and commentators have historically been highly engaged with the issue. Black periodicals provided extensive coverage of the expulsion of Black immigrants, as well as of non-Black immigrants who violated the racial structures of American society (either through antiracist political advocacy or through interracial relationships). In doing so, the Black press insisted that deportation was a Black issue, and that antiblackness was central to the functioning of the early-twentieth-century immigration control system. By surveying roughly 1,100 articles on deportation in the Black press, I highlight how Black writers construed deportation as a powerful tool of white supremacy and a threat to Black immigrants and African Americans alike.
Intent detection and slot filling for Persian: Cross-lingual training for low-resource languages
Authors: Zadkamali Reza , Momtazi Saeedeh , Zeinali Hossein 
Published: September 2024

AbstractIntent detection and slot filling are two necessary tasks for natural language understanding. Deep neural models have already shown great ability facing sequence labeling and sentence classification tasks, but they require a large amount of training data to achieve accurate results. However, in many low-resource languages, creating accurate training data is problematic. Consequently, in most of the language processing tasks, low-resource languages have significantly lower accuracy than rich-resource languages. Hence, training models in low-resource languages with data from a richer-resource language can be advantageous. To solve this problem, in this paper, we used pretrained language models, namely multilingual BERT (mBERT) and XLM-RoBERTa, in different cross-lingual and monolingual scenarios. To evaluate our proposed model, we translated a small part of the Airline Travel Information System (ATIS) dataset into Persian. Furthermore, we repeated the experiments on the MASSIVE dataset to increase our results’ reliability. Experimental results on both datasets show that the cross-lingual scenarios significantly outperform monolinguals ones.
Probing a pretrained RoBERTa on Khasi language for POS tagging
Authors: Mitri Aiom Minnette , Lyngdoh Eusebius Lawai , Warjri Sunita , Saha Goutam , Lyngdoh Saralin A. , Maji Arnab Kumar 
Published: September 2024

AbstractPart of speech (POS) tagging, though considered to be preliminary to any Natural Language Processing (NLP) task, is crucial to account for, especially in low resource language like Khasi that lacks any form of formal corpus. POS tagging is context sensitive. Therefore, the task is challenging. In this paper, we attempt to investigate a deep learning approach to the POS tagging problem in Khasi. A deep learning model called Robustly Optimized BERT Pretraining Approach (RoBERTa) is pretrained for language modelling task. We then create RoBERTa for POS (RoPOS) tagging, a model that performs POS tagging by fine-tuning the pretrained RoBERTa and leveraging its embeddings for downstream POS tagging. The existing tagset that has been designed, customarily, for the Khasi language is employed for this work, and the corresponding tagged dataset is taken as our base corpus. Further, we propose additional tags to this existing tagset to meet the requirements of the language and have increased the size of the existing Khasi POS corpus. Other machine learning and deep learning models have also been tried and tested for the same task, and a comparative analysis is made on the various models employed. Two different setups have been used for the RoPOS model, and the best testing accuracy achieved is 92 per cent. Comparative analysis of RoPOS with the other models indicates that RoPOS outperforms the others when used for inferencing on texts that are outside the domain of the POS tagged training dataset.
International law in the minds: On the ideational basis of the making, the changing, and the unmaking of international law
Authors: Schultz Thomas 
Published: September 2024

AbstractUsual accounts of international law-making and international legal change focus on formal secondary rules. Others include societal and institutional facts. But international law consists of ideas too. Arguably it exists only in minds. To be sure then, the conditions of ideational change codetermine when and how international law is made, unmade, and otherwise changes. This is what this article is after. It first draws a general sketch of international legal change (including its making and unmaking) to then zoom in on its ideational elements, with a narrower focus on market opportunities for ideas. These market opportunities, it is argued, are determined by: paradigm shifts, struggles between competing schools of thought, the formation of distinct epistemic subfields, the core individuals’ different capitals, and changes in beliefs.
A comparative study on public interest considerations in data scraping dispute
Authors: Fei Lanfang 
Published: September 2024

AbstractNew technologies and the new business practices that they bring often raise difficult questions about the application of the law. This often stems from the difficulty of clarifying the impact of new technologies on the interests of different groups in society and, in particular, the difficulty of measuring the public interest brought about by new technologies. In practice, in disputes arising from new technologies, the users of the new technologies often justify their actions in terms of the public interest. In this paper, we compare data collection cases in the US, EU and China and extract the types of public interests discussed in typical cases in different countries, including (1) data-related property rights protection and commercial principles to prevent free-riding; (2) privacy, personal data protection and data security; (3) competition and innovation interests related to the free flow of data; and (4) freedom of expression. The comparison shows that an appropriate focus on the public interest in data flow has led Chinese and US courts to rule in favour of scrapers in a few recent cases, in contrast to the judicial attitude of EU courts, whicht value privacy. The author applauds the attitude of the courts in the US and China and argues that free competition and innovative interests based on data flows are public interests that should be prioritized in data scraping cases.
Internal‐Wave Dissipation Mechanisms and Vertical Structure in a High‐Resolution Regional Ocean Model
Authors: Skitka Joseph , Arbic Brian K. , Ma Yuchen , Momeni Kayhan , Pan Yulin , Peltier William R. , Menemenlis Dimitris , Thakur Ritabrata 
Published: September 2024

AbstractMotivated by the importance of mixing arising from dissipating internal waves (IWs), vertical profiles of internal‐wave dissipation from a high‐resolution regional ocean model are compared with finestructure estimates made from observations. A horizontal viscosity scheme restricted to only act on horizontally rotational modes (such as eddies) is introduced and tested. At lower resolutions with horizontal grid spacings of 2 km, the modeled IW dissipation from numerical model agrees reasonably well with observations in some cases when the restricted form of horizontal viscosity is used. This suggests the possibility that if restricted forms of horizontal viscosity are adopted by global models with similar resolutions, they could be used to diagnose and map IW dissipation distributions. At higher resolutions with horizontal grid spacings of ∼250 m, the dissipation from vertical shear and horizontal viscosity act much more strongly resulting in dissipation overestimates; however, the vertical‐shear dissipation itself is found to agree well with observations.
Off‐Shelf Transport and Biogeochemical Cycling of Terrestrial Organic Carbon Along the East Siberian Continental Margin
Authors: Martens Jannik , Tesi Tommaso , Rusakov Valeriy , Semiletov Igor , Dudarev Oleg , Gustafsson Örjan 
Published: September 2024

AbstractContinental margins receive, process and sequester most of the terrestrial organic carbon (terrOC) released into the ocean. In the Arctic, increasing fluvial discharge and collapsing permafrost are expected to enhance terrOC release and degradation, leading to ocean acidification and translocated CO2 release to the atmosphere. However, the processes controlling terrOC transport beyond the continental shelf, and the amount of terrOC that reaches the slope and the rise are poorly described. Here we study terrOC transport to the Laptev Sea continental slope and rise by probing surface sediments with dual‐isotope (δ13C/Δ14C) source apportionment, degradation‐diagnostic terrestrial biomarkers (n‐alkanes, n‐alkanoic acids, lignin phenols) and 210Pbxs‐based mass accumulation rates (MAR). The MAR‐terrOC (g m−2 yr−1) decrease from 14.7 ± 12.2 on the shelf, to 7.0 ± 5.8 over the slope, to 2.3 ± 0.3 for the rise. Scaling this to the respective regimes yields that 80% of the terrOC accumulates on the shelf, while 11% and 9% of the accumulation occurs in slope and rise sediments, respectively. TerrOC remineralization is evidenced by biomarker degradation proxies (CPI of n‐alkanes and 3,5Bd/V) indicating 40% and 60% more terrOC degradation from slope to rise, consistent with a decline in terrOC concentrations by 57%. TerrOC degradation only partially explains this decline. An updated Laptev Sea terrOC budget suggests that sediment transport dynamics such as turbidity currents may drive terrOC shelf‐basin export, contributing to the observed accumulation pattern. This study quantitatively demonstrates that Arctic shelf seas are key receptor systems for remobilized terrOC, emphasizing their importance in the carbon cycle of the rapidly changing Arctic.
Dust Accelerates the Life Cycle of High Clouds Unveiled Through Strongly‐Constrained Meteorology
Authors: Ge Jinming , Li Wenxue , Huang Jianping , Mu Qingyu , Li Qinghao , Zhao Qingyun , Su Jing , Xie Yongkun , Alam Khan , Zhu Zeen , Hu Xiaoyu 
Published: September 2024

AbstractDust and high cloud interactions are critical for climate change, primarily due to the dominant roles of high cloud in the greenhouse effect and the continental precipitation. Nonetheless, disentangling the specific impacts of dust from the overlying meteorology influence on high clouds presents great challenges. In this study, we construct a meteorological pattern that successfully reveal the intricate connection between high cloud distribution and atmospheric conditions. Through this strong bounded relationship, we find that dust exhibits notable controls over the facilitation or inhibition of ice particle growth contingent upon the prevailing meteorological fields. More dust can increase precipitation rate and shorten high cloud lifetime particularly under favorable meteorology. These findings underscore the crucial role of dust concentration in mitigating global warming for future climate change.
Machine Learning‐Assisted Microearthquake Location Workflow for Monitoring the Newberry Enhanced Geothermal System
Authors: Leong Zi Xian , Zhu Tieyuan 
Published: September 2024

AbstractEnhanced geothermal systems (EGS) offer a sustainable energy source but face challenges in accurately locating microearthquakes induced during reservoir stimulation. Locating these microearthquakes provides reliable feedback on the stimulation progress. Current deep learning methods for locating earthquakes require extensive data sets for training, which is problematic as detected microearthquakes are often limited. To address the scarcity of training data, we propose a practical workflow using probabilistic multilayer perceptron (PMLP) which predicts microearthquake locations from cross‐correlation time lags in waveforms. Utilizing a 3D velocity model of Newberry site derived from ambient noise interferometry, we generate numerous synthetic microearthquakes and 3D acoustic waveforms for PMLP training. Accurate synthetic tests prompt us to apply the trained network to the 2012 and 2014 stimulation field waveforms. To enhance the accuracy of source localization, we carefully handpick the P‐arrival times. Predictions on the 2012 stimulation data set show major microseismic activity at depths of 0.5–1.2 km, correlating with a known casing leakage scenario. In the 2014 data set, the majority of predictions concentrate at 2.0–2.9 km depths, consistent with results obtained from conventional physics‐based inversion, and align with the presence of natural fractures from 2.0 to 2.7 km. We validate our findings by comparing the synthetic and field picks, demonstrating a satisfactory match for the first arrivals. By combining the benefits of quick inference speeds and accurate location predictions, we demonstrate the feasibility of using realistic synthetic data set to locate microseismicity for EGS monitoring.
A new paradigm for generating high-quality cardiac pacemaker cells from mouse pluripotent stem cells
Authors: Lin Zheyi , Lin Bowen , Hang Chengwen , Lu Renhong , Xiong Hui , Liu Junyang , Wang Siyu , Gong Zheng , Zhang Mingshuai , Li Desheng , Fang Guojian , Ding Jie , Su Xuling , Guo Huixin , Shi Dan , Xie Duanyang , Liu Yi , Liang Dandan , Yang Jian , Chen Yi-Han 
Published: September 2024

AbstractCardiac biological pacing (BP) is one of the future directions for bradyarrhythmias intervention. Currently, cardiac pacemaker cells (PCs) used for cardiac BP are mainly derived from pluripotent stem cells (PSCs). However, the production of high-quality cardiac PCs from PSCs remains a challenge. Here, we developed a cardiac PC differentiation strategy by adopting dual PC markers and simulating the developmental route of PCs. First, two PC markers, Shox2 and Hcn4, were selected to establish Shox2:EGFP; Hcn4:mCherry mouse PSC reporter line. Then, by stepwise guiding naïve PSCs to cardiac PCs following naïve to formative pluripotency transition and manipulating signaling pathways during cardiac PCs differentiation, we designed the FSK method that increased the yield of SHOX2+; HCN4+ cells with typical PC characteristics, which was 12 and 42 folds higher than that of the embryoid body (EB) and the monolayer M10 methods respectively. In addition, the in vitro cardiac PCs differentiation trajectory was mapped by single-cell RNA sequencing (scRNA-seq), which resembled in vivo PCs development, and ZFP503 was verified as a key regulator of cardiac PCs differentiation. These PSC-derived cardiac PCs have the potential to drive advances in cardiac BP technology, help with the understanding of PCs (patho)physiology, and benefit drug discovery for PC-related diseases as well.
Identification of STAM-binding protein as a target for the treatment of gemcitabine resistance pancreatic cancer in a nutrient-poor microenvironment
Authors: Zhang Wenming , Xu Zheng , Du Yunyan , Liu Tiande , Xiong Zhijuan , Hu Junwen , Chen Leifeng , Peng Xiaogang , Zhou Fan 
Published: September 2024

AbstractPancreatic cancer (PC) is a highly malignant solid tumor whose resistance to gemcitabine (GEM) chemotherapy is a major cause of poor patient prognosis. Although PC is known to thrive on malnutrition, the mechanism underlying its chemotherapy resistance remains unclear. The current study analyzed clinical tissue sample databases using bioinformatics tools and observed significantly upregulated expression of the deubiquitinase STAMBP in PC tissues. Functional experiments revealed that STAMBP knockdown remarkably increases GEM sensitivity in PC cells. Multiple omics analyses suggested that STAMBP enhances aerobic glycolysis and suppresses mitochondrial respiration to increase GEM resistance in PC both in vitro and in vivo. STAMBP knockdown decreased PDK1 levels, an essential regulator of the aerobic glycolytic process, in several cancers. Mechanistically, STAMBP promoted the PDK1-mediated Warburg effect and chemotherapy resistance by modulating E2F1 via direct binding to E2F1 and suppressing its degradation and ubiquitination. High-throughput compound library screening using three-dimensional protein structure analysis and drug screening identified the FDA drug entrectinib as a potent GEM sensitizer and STAMBP inhibitor, augmenting the antitumor effect of GEM in a patient-derived xenograft (PDX) model. Overall, we established a novel mechanism, via the STAMBP–E2F1–PDK1 axis, by which PC cells become chemoresistant in a nutrient-poor tumor microenvironment.
Multifaceted mitochondrial as a novel therapeutic target in dry eye: insights and interventions
Authors: Ouyang Weijie , Yan Dan , Hu Jiaoyue , Liu Zuguo 
Published: September 2024

AbstractDry eye, recognized as the most prevalent ocular surface disorder, has risen to prominence as a significant public health issue, adversely impacting the quality of life for individuals across the globe. Despite decades of extensive research into the chronic inflammation that characterizes dry eye, the intricate mechanisms fueling this persistent inflammatory state remain incompletely understood. Among the various cellular components under investigation, mitochondria—essential for cellular energy production and homeostasis—have attracted increasing attention for their role in dry eye pathogenesis. This involvement points to mechanisms such as oxidative stress, apoptosis, and sustained inflammation, which are central to the progression of the disease. This review aims to provide a thorough exploration of mitochondrial dysfunction in dry eye, shedding light on the critical roles played by mitochondrial oxidative stress, apoptosis, and mitochondrial DNA damage. It delves into the mechanisms through which diverse pathogenic factors may trigger mitochondrial dysfunction, thereby contributing to the onset and exacerbation of dry eye. Furthermore, it lays the groundwork for an overview of current therapeutic strategies that specifically target mitochondrial dysfunction, underscoring their potential in managing this complex condition. By spotlighting this burgeoning area of research, our review seeks to catalyze the development of innovative drug discovery and therapeutic approaches. The ultimate goal is to unlock promising avenues for the future management of dry eye, potentially revolutionizing treatment paradigms and improving patient outcomes. Through this comprehensive examination, we endeavor to enrich the scientific community’s understanding of dry eye and inspire novel interventions that address the underlying mitochondrial dysfunctions contributing to this widespread disorder.
Vortex confinement through an unquantized magnetic flux
Authors: Kim Geunyong , Yun Jinyoung , Yang Jinho , Yang Ilkyu , Wulferding Dirk , Movshovich Roman , Cho Gil Young , Kim Ki-Seok , Hahn Garam , Kim Jeehoon 
Published: September 2024

Abstract
Geometrically confined superconductors often experience a breakdown in the quantization of magnetic flux owing to the incomplete screening of the supercurrent against field penetration. In this study, we report that magnetic field confinement occurs regardless of the dimensionality of the system, even extending to 1D linear potential systems. By using a vector-field magnetic force microscope, we successfully create a vortex‒antivortex pair connected by a 1D unquantized magnetic flux in ultrathin superconducting films. Through an investigation of the manipulation and thermal behavior of the vortex pair, we uncover a long-range interaction mediated by the unquantized magnetic flux. These findings suggest a universal phenomenon of unquantized magnetic flux formation, independent of the geometry of the system. Our results present an experimental route for investigating the impact of confinement on superconducting properties and order parameters in unconventional superconductors characterized by extremely low dimensionality.
GATA3 and markers of epithelial-mesenchymal transition predict long-term benefit from tamoxifen in ER-positive breast cancer
Authors: Sandström Josefine , Bomanson Jens , Pérez-Tenorio Gizeh , Jönsson Carolin , Nordenskjöld Bo , Fornander Tommy , Lindström Linda S. , Stål Olle 
Published: September 2024

AbstractGATA binding protein 3 (GATA3) is essential for normal development of the mammary gland and associated with ER-positive breast cancer. Loss of GATA3 has been associated with epithelial-mesenchymal transition (EMT) in experimental studies. We investigated tumoral GATA3 in a cohort of postmenopausal patients with lymph-node negative breast cancer, randomized to adjuvant tamoxifen or control. Nuclear GATA3 expression was assessed with immunohistochemistry and GATA3 gene expression with Agilent microarrays. High GATA3 nuclear expression was associated with a lower rate of distant recurrence in ER-positive breast cancer (HR = 0.60, 95% CI 0.39–0.93). Low gene expression of GATA3 was associated with limited long-term benefit from adjuvant tamoxifen (interaction: p = 0.033). GATA3 gene expression was associated with the epithelial markers CDH1 (E-cadherin) and FOXA1, whereas negatively associated with several mesenchymal markers. Low expression of CDH1 was associated with marginal tamoxifen benefit (HR = 0.80 (0.43–1.49)), whereas patients with higher expression showed a significant benefit (HR = 0.33 (0.20–0.55), interaction: p = 0.029). In ER-positive breast cancer, diminished expression of GATA3 is associated with markers of EMT and poor long-term benefit from tamoxifen.
Common neural choice signals can emerge artefactually amid multiple distinct value signals
Authors: Frömer Romy , Nassar Matthew R. , Ehinger Benedikt V. , Shenhav Amitai 
Published: September 2024

AbstractPrevious work has identified characteristic neural signatures of value-based decision-making, including neural dynamics that closely resemble the ramping evidence accumulation process believed to underpin choice. Here we test whether these signatures of the choice process can be temporally dissociated from additional, choice-‘independent’ value signals. Indeed, EEG activity during value-based choice revealed distinct spatiotemporal clusters, with a stimulus-locked cluster reflecting affective reactions to choice sets and a response-locked cluster reflecting choice difficulty. Surprisingly, ‘neither’ of these clusters met the criteria for an evidence accumulation signal. Instead, we found that stimulus-locked activity can ‘mimic’ an evidence accumulation process when aligned to the response. Re-analysing four previous studies, including three perceptual decision-making studies, we show that response-locked signatures of evidence accumulation disappear when stimulus-locked and response-locked activity are modelled jointly. Collectively, our findings show that neural signatures of value can reflect choice-independent processes and look deceptively like evidence accumulation.