bluuebunny/crossref_metadata_2025_split huggingface dataset:
Politeness Variation: Politeness in Britain, Australia, and Hong Kong
Authors: Xie Fang 
Published: September 2024

AbstractBritish culture is often characterized by off-record or negative politeness (e.g., Blum-Kulka, 1987; Ogiermann, 2009) and norms giving prominence to social distance (van Dorst et al., 2024). It is worth exploring whether other English varieties exhibit similar characteristics within the field of variational pragmatics. This paper presents a corpus-based study that investigates politeness variation in Britain, Australia, and Hong Kong. This study seeks empirical evidence regarding variations among British English, Australian English, and Hong Kong English in terms of three different politeness types: tentativeness, deference, and solidarity, and three different levels of formality: informal, neutral, and formal. Twenty-one frequently occurred formulaic expressions regularly associated with politeness are chosen and retrieved from the GB, AU, and HK components of the GloBwE Corpus. A close analysis of the results revealed significant differences across politeness types and levels of formality among the three English varieties. Australian English exhibits the highest relative frequency of deference politeness, solidarity politeness, and both informal and formal politeness formulae, followed by British English, with Hong Kong English showing the least. In contrast, Hong Kong English has the highest relative frequency of tentativeness politeness and neutral formality politeness formulae. This study finds that several factors may influence the use of three politeness types and three levels of formalities, including urbanization level, population density, settings, culture, and pragmatic transfer. Overall, this study examines politeness variation in British, Australian, and Hong Kong English using corpus-based methods, contributing to both variational pragmatics and corpus pragmatics.
Deciphering the molecular composition and sources of dissolved organic matter in urban rivers based on optical spectroscopy and FT-ICR-MS analyses
Authors: Ren Yi , Liu Shasha , Liu Leizhen , Suo Chengyu , Fu Rui , Zhang Yuxin , Qiu Yue , Wu Fengchang 
Published: September 2024

AbstractThe components and sources of dissolved organic matter (DOM) in urban water bodies are extremely complicated due to multiple environmental and anthropogenic factors. The comprehensive analysis of the DOM molecular composition is crucial for deep understanding their reactivities, environmental behaviors, and fates in aquatic ecosystems, thereby improving our ability to monitor and protect aquatic systems. In this study, ultraviolet–visible spectroscopy (UV–Vis) and excitation-emission matrix fluorescence spectroscopy (EEM) were combined with Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) to investigate the optical and molecular characteristics of DOM in the Yongding River (YDH) and Beiyun River (BYH), two typical urban rivers with distinct landscapes and anthropogenic influences in Beijing, China. Results showed that DOM in BYH was mainly composed of proteins from microbial and sewage sources with low aromaticity, molecular weight, and abundant saturated labile compounds, along with a significant presence of anthropogenic surfactants. Whereas the YDH was primarily composed of humic substances from plant- and soil-derived terrestrials, with higher aromaticity humification, unsaturation and refractory compounds. In addition, due to the accumulation of refractory compounds, the concentration of DOC and the degree of organic pollution increased from upstream to downstream of the rivers, manifested as an increase in humification and molecular weight at the molecular level. Our results confirmed that landscape urbanization broadly modified the structure of DOM to be more aliphatic and saturated. The findings of this study will provide important insights into the chemdiverse molecular composition of DOM undergoing different influences from human activities and provide significant guidance for water quality management in urban river ecosystems.
Graphical Abstract
Digitalisation and sustainability measures at the firm level
Authors: Horbach Jens 
Published: September 2024

AbstractThe paper analyses the “twin transition” of digitalisation and sustainability at the firm level. Operational definitions of digitalisation and sustainability allowing the development of fitting empirical indicators are discussed. The possible technical and social transmission channels of the effects of digitalisation on a sustainable firm development are analysed. Less energy consumption induced by intelligent sensoring systems, the reduction of meetings in presence by video conferences or the promotion of home office work leading to less travel activities may lead to a more sustainable production. Digitalisation might also act as pre-condition of eco-process innovations (e. g. the introduction of intelligent control systems leading to material and energy savings). The empirical analysis is based on firm data of the recent Eurobarometer 486/2020 of the European Commission. The econometric results show that “digitally active” firms seem to be more sustainable for all available indicators, but the marginal effects considerably differ between measures such as artificial intelligence, machine learning, or the use of smart devices and intelligent sensors for the various sustainability-related activities of the firms.
Large‐Scale Climate Features Control Fire Emissions and Transport in Africa
Authors: Dezfuli Amin , Ichoku Charles M. , Bosilovich Michael G. 
Published: September 2024

AbstractRecent increase in extreme wildfire events has led to major health and environmental consequences across the globe. These adverse impacts underlined the need for better understanding of this phenomenon and to formulate mitigating actions. While previous research has focused on local weather drivers of wildfires, our knowledge about their large‐scale climatic controls remains limited, especially in tropical Africa, which stands out as a global hotspot for fire emissions. Here, we show that interannual variability of carbon emission due to fires in the southern Congo Basin is strongly linked to low‐level winds that are controlled by the Indian Ocean subtropical high. The interhemispheric transport of these emissions to West Africa relies on the intensity and position of both Indian and South Atlantic subtropical highs. Combined effects of this transport mechanism and carbon production in the source region explain a majority of the interannual variability of black carbon in West Africa.
Looking for Subsurface Oceans Within the Moons of Uranus Using Librations and Gravity
Authors: Hemingway D. J. , Nimmo F. 
Published: September 2024

AbstractSeveral of the icy moons in the Jupiter and Saturn systems appear to possess internal liquid water oceans. Our knowledge of the Uranian moons is more limited but a future tour of the system has the potential to detect subsurface oceans. Planning for this requires an understanding of how the moons' internal structures—with and without oceans—relate to observable quantities. Here, we show that the amplitude of forced physical librations could be diagnostic of the presence or absence of subsurface oceans within the Uranian moons. In the presence of a decoupling global ocean, ice shell libration amplitudes at Miranda, Ariel, and Umbriel will exceed 100 m if the shells are thick. The presence of oceans could also imply significant tidal heating within the last few hundred million years. Combining librations with the quadrupole gravity field could provide comprehensive constraints on the internal structures and histories of the Uranian moons.
Changes in Four Decades of Near‐CONUS Tropical Cyclones in an Ensemble of 12 km Thermodynamic Global Warming Simulations
Authors: Zarzycki Colin M. , Zhang Tyrone , Jones Andrew D. , Rastogi Deeksha , Vahmani Pouya , Ullrich Paul A. 
Published: September 2024

AbstractWe evaluate tropical cyclones (TCs) in a set of thermodynamic global warming (TGW) simulations over the continental United States (CONUS). A 12 km simulation forced by ERA5 provides a 40‐year historical (1980–2019) control. Four complimentary future scenarios are generated using thermodynamic deltas applied to lateral boundary, interior, and surface forcing. We curate a data set of 4,498 6‐hourly TC snapshots in the control and find a corresponding “twin” in each counterfactual, permitting a paired comparison. Warming results in an increase in mean dynamical TC intensity and moisture‐related quantities, with the latter being more pronounced. TC inner cores contract slightly but outer storm size remains unchanged. The frequency with which TCs become more intense is only moderately consistent, with snapshots having increased hazards ranging from 50% to 80% depending on warming level. The fractions of TCs undergoing rapid intensification and weakening both increase across all warming simulations, suggesting elevated short‐term intensity variability.
Inland Summer Speedup at Zachariæ Isstrøm, Northeast Greenland, Driven by Subglacial Hydrology
Authors: Khan Shfaqat A. , Morlighem Mathieu , Ehrenfeucht Shivani , Seroussi Helene , Choi Youngmin , Rignot Eric , Humbert Angelika , Pickell Derek , Hassan Javed 
Published: September 2024

AbstractThe Northeast Greenland Ice Stream (NEGIS) has experienced substantial dynamic thinning in recent years. Here, we examine the evolving behavior of NEGIS, with focus on summer speedup at Zachariae Isstrøm, one of the NEGIS outlet glaciers, which has exhibited rapid retreat and acceleration, indicative of its vulnerability to changing climate conditions. Through a combination of Sentinel‐1 data, in‐situ GPS observations, and numerical ice flow modeling from 2007, we investigate the mechanisms driving short‐term changes. Our analysis reveals a summer speedup in ice flow both near the terminus and inland, with satellite data detecting changes up to 60 km inland, while GPS data capture changes up to 190 km inland along the glacier center line. We attribute this summer speedup to variations in subglacial hydrology, where surface meltwater runoff influences basal friction over the melt season. Incorporating subglacial hydrology into numerical models makes it possible to replicate observed ice velocity patterns.
SMAC mimetic drives microglia phenotype and glioblastoma immune microenvironment
Authors: Snacel-Fazy Emmanuel , Soubéran Aurélie , Grange Magali , Joseph Kevin , Colin Carole , Morando Philippe , Luche Hervé , Pagano Alessandra , Brustlein Sophie , Debarbieux Franck , Toutain Soline , Siret Carole , van de Pavert Serge A. , Rougon Geneviève , Figarella-Branger Dominique , Ravi Vidhya Madapusi , Tabouret Emeline , Tchoghandjian Aurélie 
Published: September 2024

AbstractTumor-associated macrophages/microglia (TAMs) are highly plastic and heterogeneous immune cells that can be immune-supportive or tumor-supportive depending of the microenvironment. TAMs are the most abundant immune cells in glioblastoma (GB), and play a key role in immunosuppression. Therefore, TAMs reprogramming toward immune-supportive cells is a promising strategy to overcome immunosuppression. By leveraging scRNAseq human GB databases, we identified that Inhibitor of Apoptosis Proteins (IAP) were expressed by TAMs. To investigate their role in TAMs-related immunosuppression, we antagonized IAP using the central nervous system permeant SMAC mimetic GDC-0152 (SMg). On explants and cultured immune cells isolated from human GB samples, SMg modified TAMs activity. We showed that SMg treatment promoted microglia pro-apoptotic and anti-tumoral function via caspase-3 pro-inflammatory cleavage and the inhibition of tumoroids growth. Then we designed a relevant immunogenic mouse GB model to decipher the spatio-temporal densities, distribution, phenotypes and function of TAMs with or without SMg treatment. We used 3D imaging techniques, a transgenic mouse with fluorescent TAM subsets and mass cytometry. We confirmed that SMg promoted microglia activation, antigen-presenting function and tumor infiltration. In addition, we observed a remodeling of blood vessels, a decrease in anti-inflammatory macrophages and an increased level of monocytes and their mo-DC progeny. This remodeling of the TAM landscape is associated with an increase in CD8 T cell density and activation. Altogether, these results demonstrated that SMg drives the immunosuppressive basal microglia toward an active phenotype with pro-apoptotic and anti-tumoral function and modifies the GB immune landscape. This identifies IAP as targets of choice for a potential mechanism-based therapeutic strategy and SMg as a promising molecule for this application.
Relationship between hypertransmission defect size and progression in eyes with intermediate age-related macular degeneration
Authors: Nanegrungsunk Onnisa , Corradetti Giulia , Phinyo Phichayut , Choovuthayakorn Janejit , Sadda Srinivas R. 
Published: September 2024

Abstract
Objectives
To determine the associations between the presence of various-sized hypertransmission defects (hyperTDs) and progression to incomplete retinal pigment epithelial (RPE) and outer retinal atrophy (iRORA) and complete RORA (cRORA) in eyes with intermediate age-related macular degeneration (iAMD).

Methods
Optical coherence tomography (OCT) data from consecutive iAMD patients, were retrospectively reviewed. All of iAMD eyes with or without iRORA (but not cRORA) at baseline were included. Graders evaluated the presence of hyperTDs at baseline (small: 63–124 µm; medium: 125–249 µm; large: ≥ 250 µm in diameter on choroidal en face OCT) and the progression two years later.

Results
Of the 145 eyes that not developed neovascular AMD at two years, the eyes that progressed to or developed iRORA or cRORA included 13 eyes (10.7%), 5 eyes (83.3%), 9 eyes (81.8%), and 6 eyes (85.7%) in the groups with no, small, medium, and large hyperTDs at baseline, respectively (P-value < 0.001). The odds ratios (95% CI) for progression were 41.6 (4.5–383.6), 37.4 (7.3–192.0), and 49.9 (5.6–447.1) in the small, medium, and large hyperTDs groups, compared to no hyperTDs (P-value ≤ 0.001). Eyes with ≥ 2 hyperTDs also showed more frequent progression than eyes with one or no hyperTDs (100% vs. 16.4%; P-value < 0.001).

Conclusions
While most iAMD eyes with no hyperTDs remained stable on OCT over two years, eyes with hyperTDs of any size appeared to be at a higher risk for progression. HyperTDs may provide an important OCT biomarker for identifying high-risk iAMD patients.
Structural basis for ryanodine receptor type 2 leak in heart failure and arrhythmogenic disorders
Authors: Miotto Marco C. , Reiken Steven , Wronska Anetta , Yuan Qi , Dridi Haikel , Liu Yang , Weninger Gunnar , Tchagou Carl , Marks Andrew R. 
Published: September 2024

AbstractHeart failure, the leading cause of mortality and morbidity in the developed world, is characterized by cardiac ryanodine receptor 2 channels that are hyperphosphorylated, oxidized, and depleted of the stabilizing subunit calstabin-2. This results in a diastolic sarcoplasmic reticulum Ca2+ leak that impairs cardiac contractility and triggers arrhythmias. Genetic mutations in ryanodine receptor 2 can also cause Ca2+ leak, leading to arrhythmias and sudden cardiac death. Here, we solved the cryogenic electron microscopy structures of ryanodine receptor 2 variants linked either to heart failure or inherited sudden cardiac death. All are in the primed state, part way between closed and open. Binding of Rycal drugs to ryanodine receptor 2 channels reverts the primed state back towards the closed state, decreasing Ca2+ leak, improving cardiac function, and preventing arrhythmias. We propose a structural-physiological mechanism whereby the ryanodine receptor 2 channel primed state underlies the arrhythmias in heart failure and arrhythmogenic disorders.
Unified framework for open quantum dynamics with memory
Authors: Ivander Felix , Lindoy Lachlan P. , Lee Joonho 
Published: September 2024

AbstractThe dynamics of quantum systems coupled to baths are typically studied using the Nakajima-Zwanzig memory kernel ($${{{\bf{{{{\mathcal{K}}}}}}}}$$
K
) or the influence functions (I), particularly when memory effects are present. Despite their significance, formal connections between the two have not been explicitly known. We establish their connections by examining the system propagator for a N-level system linearly coupled to Gaussian baths with various types of system-bath coupling. For a certain class of problems, we devised a non-perturbative, diagrammatic approach to construct $${{{\bf{{{{\mathcal{K}}}}}}}}$$
K
from I for (driven) systems interacting with Gaussian baths, bypassing conventional projection-free dynamics inputs. Our work provides a way to interpret approximate path integral methods in terms of approximate memory kernels. Moreover, it offers a Hamiltonian learning procedure to extract the bath spectral density from reduced system trajectories, opening new avenues in quantum sensing and engineering. The insights we provide advance our understanding of non-Markovian dynamics and will serve as a stepping stone for future theoretical and experimental developments in this area.
Data-driven discovery of potent small molecule ice recrystallisation inhibitors
Authors: Warren Matthew T. , Biggs Caroline I. , Bissoyi Akalabya , Gibson Matthew I. , Sosso Gabriele C. 
Published: September 2024

AbstractControlling the formation and growth of ice is essential to successfully cryopreserve cells, tissues and biologics. Current efforts to identify materials capable of modulating ice growth are guided by iterative changes and human intuition, with a major focus on proteins and polymers. With limited data, the discovery pipeline is constrained by a poor understanding of the mechanisms and the underlying structure-activity relationships. In this work, this barrier is overcome by constructing machine learning models capable of predicting the ice recrystallisation inhibition activity of small molecules. We generate a new dataset via experimental measurements of ice growth, then harness predictive models combining state-of-the-art descriptors with domain-specific features derived from molecular simulations. The models accurately identify potent small molecule ice recrystallisation inhibitors within a commercial compound library. Identified hits can also mitigate cellular damage during transient warming events in cryopreserved red blood cells, demonstrating how data-driven approaches can be used to discover innovative cryoprotectants and enable next-generation cryopreservation solutions for the cold chain.
Learning chemical sensitivity reveals mechanisms of cellular response
Authors: Connell William , Garcia Kristle , Goodarzi Hani , Keiser Michael J. 
Published: September 2024

AbstractChemical probes interrogate disease mechanisms at the molecular level by linking genetic changes to observable traits. However, comprehensive chemical screens in diverse biological models are impractical. To address this challenge, we develop ChemProbe, a model that predicts cellular sensitivity to hundreds of molecular probes and drugs by learning to combine transcriptomes and chemical structures. Using ChemProbe, we infer the chemical sensitivity of cancer cell lines and tumor samples and analyze how the model makes predictions. We retrospectively evaluate drug response predictions for precision breast cancer treatment and prospectively validate chemical sensitivity predictions in new cellular models, including a genetically modified cell line. Our model interpretation analysis identifies transcriptome features reflecting compound targets and protein network modules, identifying genes that drive ferroptosis. ChemProbe is an interpretable in silico screening tool that allows researchers to measure cellular response to diverse compounds, facilitating research into molecular mechanisms of chemical sensitivity.
Efficient and Direct Route to 5-Iodo-4H-Quinoxalines via Copper-Catalyzed Double C–N Arylations of 1,2,3-Triiodoarenes: Potential Application towards 5-Substituted 4H-Quinoxalines
Authors: Al-Zoubi Raed M. , Shkoor Mohanad , Al-Jammal Walid K. , Bani-Yaseen Abdulilah D. , Ferguson Michael J. 
Published: September 2024

AbstractA simple, direct, and regioselective protocol to substituted 5-iodo-4H-quinoxalines through double C–N arylations of 1,2,3-triiodobenzenes and 1,2-diamines is reported. Remarkably, the N-arylation couplings proceed unimolecularly at the vicinal positions, the most active and less hindered positions. This process tolerates a wide range of aromatic substrates. The reactions of electron-deficient 1,2,3-triiodoarene systems and DMEDA under the optimized conditions provided the highest isolated yields. The chemical transformation of the target compound, which serves as a valuable precursor in synthesis, was successfully demonstrated in the Suzuki–Miyaura reaction, giving the desired coupling derivatives with excellent isolated yields. This article describes a method for the first and unprecedented synthesis of 5-iodo-4H-quinoxalines that is regioselective, scalable, and provides useful derivatives for other chemical reactions
Flora and structure of the naturally regenerating riparian vegetation of the Rio Doce River: basis for environmental restoration actions
Authors: Neves José Gustavo Santana , Souza Camila Silveira , Figueiredo João Carlos Gomes , Veloso Cristina Pereira de Jesus , de Ávila Marly Antonielle , Oliveira Odirlei Simões de , Azevedo Islaine Franciely Pinheiro de , dos Santos Rubens Manoel , Fernandes Geraldo Wilson , Nunes Yule Roberta Ferreira 
Published: September 2024

Context The failure of the Fundão dam devastated a large area of the Atlantic Forest, causing damage to and loss of riparian forests. Considering all the ecological roles of a terrestrial and freshwater community, it is necessary to understand the functioning of riparian forests and their regenerative potential, which will be decisive in selecting actions to restore these ecosystems, especially Atlantic Forest remnants. Aims We evaluated the flora and structure of the regenerating stratum in three riparian vegetation remnants along the Rio Doce basin to support the propagation and restoration of the affected environments. Methods Plots of 5 m × 5 m were made in each area, totalling 77 sampling units. In these plots, all woody individuals with a diameter at soil height (DSH) of at least ≥1 cm and diameter at breast height (1.3 m from the soil) of at least <5 cm were marked, measured (in height and DSH), sampled and identified. Key results A total of 275 species distributed in 47 families were sampled, with Fabaceae the most diverse family and Siparuna guianensis Aubl. the most abundant species. Variation in β diversity was significant, and composition analysis showed that plots of each area tended to cluster. Principal component analysis and linear models showed that the edaphic parameters were not related to the richness and abundance of species in the sampled areas. Conclusions The areas sampled here serve as a reference for the restoration of impacted areas. Implications This study represents an important step towards knowing the species in reference areas for an active and efficient restoration in impacted areas.