bluuebunny/crossref_metadata_2025_split huggingface dataset:
Do they like me?
Authors: Zheng Chaoqun , Trofimovich Pavel , Lindberg Rachael , McDonough Kim , Sato Masatoshi 
Published: November 2024

Abstract
People are frequently concerned about the impressions they make on others (referred to as metaperceptions), but their insights are often inaccurate. Illustrating the phenomenon called the liking gap, speakers interacting in their first language (L1) and second language (L2) tend to underestimate how much they are liked by their interlocutor, and these judgments often predict their desire to engage in future interaction and collaboration. To understand the scope of this bias and its consequences, we focused on L1–L2 dyadic interaction, examining metaperception as a potential barrier to conversations between university students. We recruited 58 previously unacquainted university students to perform a 10-min academic discussion task between one L1 and one L2 speaker. Afterward, the speakers (a) assessed each other’s interpersonal liking, speaking skill, and interactional behavior; (b) provided their metaperceptions of their interlocutor’s assessments of the same dimensions; and (c) estimated their interest in future interaction with the same interlocutor. All speakers showed a reliable metaperception bias to underestimate their interpersonal liking, speaking skill, and interactional behavior. However, only L1 speakers’ desire to engage in future interaction was associated with their metaperceptions of interpersonal liking. We discuss implications of this finding for understanding and promoting academic communication.
Personhood, Dementia, and Bioethics
Authors: Matthews Steve 
Published: November 2024

Abstract
Jennifer Blumenthal-Barby (2024) has called for bioethics to end talk about personhood, asserting that such talk has the tendency to confuse and offend. It will be argued that this has only limited application for (largely) private settings. However, in other settings, theorizing about personhood leaves a gap in which there is the risk that the offending concept will get uptake elsewhere, and so the problem Blumenthal-Barby nominates may not be completely avoided. In response to this risk, an argument is presented in support of the idea that the role of philosophers and bioethicists, far from ending talk of personhood, ought to be to clarify the concept, and to do so in nuanced ways, given its application for specific kinds of impairments. The case of dementia is used to illustrate this in the context of person-centered care. Ironically, given the stigma attached to dementia, far from the need to end talk of personhood, bioethicists are needed to rescue the concept and clarify its role.
Recommendations for the training and practice of fetal cardiology from the Association of European Paediatric Cardiology
Authors: Dangel Joanna H. , Clur Sally-Ann , Sharland Gurleen , Herberg Ulrike 
Published: November 2024

AbstractPrenatal detection of cardiac abnormalities has increased significantly over the past few decades, such that fetal cardiology has developed into a sub-specialty of paediatric and congenital cardiology. As this speciality develops further and extends across Europe and more globally, it is important to standardize the requirements for training and subsequent practice, to optimize prenatal diagnosis and perinatal care. In addition to the knowledge and technical skills required to make a correct diagnosis, the counseling of families after diagnosis and the planning of appropriate perinatal management is equally important. The aim of these recommendations is to provide a framework for both basic and advanced training for paediatric cardiologists wishing to practice as fetal cardiologists, as well as highlighting requisites for a fetal cardiology service. All aspects regarding training in fetal cardiology and service provision are addressed including diagnosis, counseling and management.
Prevalence of major depression, suicidal ideation, and mental health treatment among cancer survivors
Authors: Ye Linda , Ladbury Colton , Tam Andrew , Eustace Nicholas , Wakabayashi Lauren , Vermeersch Jacob , Salman Jaroslava , Sun Virginia , Li Rose , Sampath Sagus , Amini Arya 
Published: November 2024

AbstractObjectivesCancer diagnosis and treatment can result in a significant psychological burden. This study sought to investigate the prevalence of major depression, associated treatments, and suicidal ideation in cancer survivors compared to a non-cancer cohort.MethodsThis is a retrospective, population-based study using survey responses from the National Survey on Drug Use and Health collected from January 2015 to December 2019. Survey data sets were queried for all respondents who provided a cancer history. Respondents with a reported history of cancer (“cancer survivors”) were further stratified by whether they reported a “recent” cancer diagnosis within the past 12 months. Survey responses were evaluated for recent diagnoses of and treatments for major depressive disorder and suicidal ideation.ResultsAmong the 212,411 survey respondents identified, 7,635 (3.6%) reported a cancer history, with 1,486 (0.7%) reporting a recent cancer history. There were no differences in prevalence of major depression between cancer survivors and participants without cancer (9.3% vs 9.2%, p = 0.762), though the prevalence was slightly higher among recent cancer survivors (10.0% vs 9.2%, p = 0.259). Among respondents diagnosed with major depression, cancer survivors were significantly more likely to receive treatment for depression (78.6% vs 60.3%, p < 0.001). Suicidal ideation was significantly lower among cancer survivors (5.1% vs 6.2%, p < 0.001) including recent survivors (5.0% vs 6.2%, p < 0.001).Significance of resultsThere was no overall difference in the prevalence of major depression between cancer survivors and respondents without cancer. Survivors with major depression were more likely to receive treatments. Prevalence of major depression was higher in recent cancer survivors.
A Spatially‐Distributed Machine Learning Approach for Fractional Snow Covered Area Estimation
Authors: Mahanthege Shalini , Kleiber William , Rittger Karl , Rajagopalan Balaji , Brodzik Mary J. , Bair Edward 
Published: November 2024

AbstractSnowpack in mountainous areas often provides water storage for summer and fall, especially in the Western United States. In situ observations of snow properties in mountainous terrain are limited by cost and effort, impacting both temporal and spatial sampling, while remote sensing estimates provide more complete spacetime coverage. Spatial estimates of fractional snow covered area (fSCA) at 30m are available every 16 days from the series of multispectral scanning instruments on Landsat platforms. Daily estimates at 463m spatial resolution are also available from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on the Terra satellite. Fusing Landsat and MODIS fSCA images creates high resolution daily spatial estimates of fSCA that are needed for various uses: to support scientists and managers interested in energy and water budgets for water resources and to understand the movement of animals in a changing climate. Here, we propose a new machine learning approach conditioned on MODIS fSCA, as well as a set of physiographic features, and fit to Landsat fSCA over a portion of the Sierra Nevada USA. The predictions are daily 30m fSCA. The approach relies on two stages of spatially‐varying models. The first classifies fSCA into three categories and the second yields estimates within (0, 100) percent fSCA. Separate models are applied and fitted within sub‐regions of the study domain. Compared with a recently‐published machine learning model (Rittger, Krock, et al., 2021), this approach uses spatially local (rather than global) random forests, and improves the classification error of fSCA by 16%, and fractionally‐covered pixel estimates by 18%.
fluxfinder: An R Package for Reproducible Calculation and Initial Processing of Greenhouse Gas Fluxes From Static Chamber Measurements
Authors: Wilson Stephanie J. , Bond‐Lamberty Ben , Noyce Genevieve , Bittencourt Peixoto Roberta , Megonigal J. Patrick 
Published: November 2024

AbstractFluxes of greenhouse gases are a critical component of the earth's natural climate, but anthropogenic emissions have created an imbalance and resulted in global climate change. Quantifying the emission of these gases is vital to our understanding of their sources and sinks, both natural and anthropogenic. The static chamber method, in which a system of interest is enclosed, and gas concentrations are measured over time, is widely used to estimate fluxes of greenhouse gases. With the development of instruments such as infrared gas analyzers (IRGAs) supporting high‐frequency concentration data, there is a growing need for open‐source workflows to calculate fluxes. Here we present fluxfinder, an R package designed to support reproducible calculations and processing of greenhouse gas fluxes measured with the static chamber method. The package includes raw data file parsing from widely used IRGAs, metadata matching, unit conversion, flux estimations, and initial quality assurance/quality control (QA/QC). Diagnostic graphical plots provide a transparent way to differentiate between measurement issues and nonlinear behavior. The package is also designed to be easily integrated with the gasfluxes package for further fitting of nonlinear concentration‐time models, allowing alternative or additional flux QA/QC. The fluxfinder package offers a flexible workflow that is easily adaptable to promote open and reproducible greenhouse gas flux estimations.
Nuclear EGFR in breast cancer suppresses NK cell recruitment and cytotoxicity
Authors: Escoto Angelica , Hecksel Ryan , Parkinson Chance , Crane Sara , Atwell Benjamin , King Shyanne , Ortiz Chavez Daniela , Jannuzi Alison , Sands Barbara , Bitler Benjamin G. , Fehniger Todd A. , Paek Andrew L. , Padi Megha , Schroeder Joyce 
Published: November 2024

Abstract
Natural Killer (NK) cells can target and destroy cancer cells, yet tumor microenvironments typically suppress NK cell recruitment and cytotoxicity. The epidermal growth factor receptor (EGFR) is a potent oncogene that can activate survival, migration, and proliferation pathways, and clinical data suggests it may also play an immunomodulating role in cancers. Recent work has demonstrated a novel role for nuclear EGFR (nEGFR) in regulating transcriptional events unique from the kinase domain. Using a novel peptide therapeutic (cSNX1.3) that inhibits retrograde trafficking of EGFR and an EGFR nuclear localization mutant, we discovered that nEGFR suppresses NK cell recruitment and cytotoxicity. RNA-Seq analysis of breast cancer cells treated with cSNX1.3 or modified to lack a nuclear localization sequence (EGFRΔNLS) revealed the EGF-dependent induction of NK activating receptor ligands, while kinase inhibition by erlotinib did not impact these genes. NanoString analysis of tumor-bearing WAP-TGFα transgenic mice treated with cSNX1.3 demonstrated an increase in immune cell populations and activating genes. Additionally, immunohistochemistry confirmed an increase in NK cells upon cSNX1.3 treatment. Finally, cSNX1.3 treatment was found to enhance NK cell recruitment and cytotoxicity in vitro. Together, the data demonstrate a unique immunomodulatory role for nEGFR.
Re-evaluating our focus in addiction: emotional dysregulation is a critical driver of relapse to drug use
Authors: Hand Lexi J. , Paterson Louise M. , Lingford-Hughes Anne R. 
Published: November 2024

AbstractMost addiction research has focused on reward- and impulsivity-related neurocircuitry. However, the impact of the withdrawal/negative affect stage in the addiction cycle has been somewhat overlooked, despite it being commonly evident in the clinic. This stage crucially drives negative reinforcement of repeated drug use and relapse, yet less is known about its neural underpinnings. How negative emotional processing is dysregulated in substance dependence is incompletely understood and may manifest differentially across the types of substances. In turn, the regions involved in negative emotional processing may show different patterns of dysregulation. Understanding how neurocircuitry involved in negative states differs across various substances may help inform new targets for treatments. Following a comprehensive literature search of studies examining negative emotional processing in substance dependence, a quantitative approach was deemed inappropriate. Instead, we employed a narrative approach to exploring neural responses to tasks involving emotional processing in alcohol, cocaine, opioid and cannabis dependence. Regions that were found to be dysregulated included the amygdala, insula, anterior cingulate, and medial prefrontal cortex. However, patterns of reactivity differed across alcohol, cocaine, opioid and cannabis dependence. Brain activation in alcohol dependence broadly appeared blunted in response to negative affective stimuli and emotional faces, whilst conversely appeared heightened in cocaine dependence. In opioid dependence, the amygdala was consistently implicated, whilst the insula, anterior cingulate, and medial prefrontal cortex were implicated in cannabis dependence. However, there was wide variability amongst the studies, with very few studies investigating opioid and cannabis dependence. These findings suggest emotional dysregulation varies according to the type of substance dependence. However, the variability in findings and lack of studies highlights the need for more research in this area. Further characterisation of emotional dysregulation in substance dependence will enable identification of treatment targets. More targeted treatments that modulate negative emotional processing could substantially improve outcomes by aiding relapse prevention.
Impact of lenalidomide-bortezomib-dexamethasone induction on patients with newly diagnosed multiple myeloma and renal impairment: Results from the Connect® MM Registry
Authors: Ailawadhi Sikander , Lee Hans C. , Omel James , Toomey Kathleen , Hardin James W. , Gasparetto Cristina J. , Jagannath Sundar , Rifkin Robert M. , Durie Brian G. M. , Narang Mohit , Terebelo Howard R. , Joshi Prashant , Jou Ying-Ming , Mouro Jorge , Yu Edward , Abonour Rafat 
Published: November 2024

AbstractLimited data exist on the effects of induction treatment in patients with newly diagnosed multiple myeloma (NDMM) and renal impairment (RI), who may also be ineligible for autologous stem cell transplant. This analysis investigated the impact of lenalidomide-bortezomib-dexamethasone (RVd) induction on renal function in patients from the Connect® MM Registry based on transplant status. Eligible patients were aged ≥18 years with symptomatic MM diagnosed ≤2 months before enrollment. Patients in this analysis received front-line RVd for ≥3 cycles and were grouped by transplant status and baseline renal function. As of August 4, 2021, 344 transplanted and 289 non-transplanted patients had received RVd for ≥3 cycles at induction. Improved renal function was observed at 3, 6, and 12 months in patients with all severities of RI at baseline. In patients with >60 and ≤60 creatinine clearance mL/min at baseline, median progression-free survival was 49.4 months and 47.6 months in transplanted patients and 35.7 months and 29.1 months in non-transplanted patients, respectively. These results provide real-world evidence that patients with NDMM and RI who receive front-line RVd for ≥3 cycles may have improved renal function regardless of transplant status, with renal function no longer affecting the long-term outcome. Clinical trial information: NCT01081028.
Combined metformin and simvastatin therapy inhibits SREBP2 maturation and alters energy metabolism in glioma
Authors: Qiao Xiaolong , Wang Zixuan , Chen Yinan , Peng Nan , Zhang Hongwei , Niu Chaoshi , Cheng Chuandong 
Published: November 2024

AbstractThis study aims to explore the inhibitory effects of combined metformin and simvastatin therapy on the malignant progression of glioma. The research specifically examines how the maturation of SREBP2 as a transcription factor affects the expression of GLUT1 and GLUT6 in glioma cells. Additionally, it investigates the impact of this combination therapy on the biological functions and energy metabolism of glioma cells. To assess the functions of GLUT1/6, sh-GLUT1/6 plasmids were employed. The study determined the half-maximal inhibitory concentrations (IC50) of metformin and simvastatin using the CCK-8 assay. Subsequently, the effects of these drugs on glioma metabolism, proliferation, and apoptosis were explored in vitro and in vivo, using drug concentrations significantly lower than their respective IC50 values. The impact of drug treatment on GLUT1/6 and SREBP2 expression levels was also evaluated. The study elucidated the significant impact of GLUT1/6 on glioma cell functions, resulting in decreased glucose uptake. Moreover, it unveiled the regulatory role of SREBP2 in GLUT1 and GLUT6 transcription, alongside revealing differential expression of SREBP2 precursor and mature forms within gliomas. Following combined drug therapy, GLUT1/6 expression decreased, while the precursor form of SREBP2 increased, and mature SREBP2 reduced. This dual-drug treatment effectively modulated glioma cell energy metabolism. Subsequent in vivo experiments affirmed the augmented anti-tumor efficacy of combined drug therapy. Specifically, the synergistic action of metformin and simvastatin reshaped glioma metabolism, curbed malignant proliferation, promoted apoptosis, and demonstrated superior anti-tumor effects both in vitro and in vivo compared to individual administration of metformin or simvastatin. Importantly, the combination therapy achieved these effects at lower doses, rendering it a safer treatment option.
Multiplexed expansion revealing for imaging multiprotein nanostructures in healthy and diseased brain
Authors: Kang Jinyoung , Schroeder Margaret E. , Lee Youngmi , Kapoor Chaitanya , Yu Eunah , Tarr Tyler B. , Titterton Kat , Zeng Menglong , Park Demian , Niederst Emily , Wei Donglai , Feng Guoping , Boyden Edward S. 
Published: November 2024

AbstractProteins work together in nanostructures in many physiological contexts and disease states. We recently developed expansion revealing (ExR), which expands proteins away from each other, in order to support better labeling with antibody tags and nanoscale imaging on conventional microscopes. Here, we report multiplexed expansion revealing (multiExR), which enables high-fidelity antibody visualization of >20 proteins in the same specimen, over serial rounds of staining and imaging. Across all datasets examined, multiExR exhibits a median round-to-round registration error of 39 nm, with a median registration error of 25 nm when the most stringent form of the protocol is used. We precisely map 23 proteins in the brain of 5xFAD Alzheimer’s model mice, and find reductions in synaptic protein cluster volume, and co-localization of specific AMPA receptor subunits with amyloid-beta nanoclusters. We visualize 20 synaptic proteins in specimens of mouse primary somatosensory cortex. multiExR may be of broad use in analyzing how different kinds of protein are organized amidst normal and pathological processes in biology.
A unique symbiosome in an anaerobic single-celled eukaryote
Authors: Jerlström-Hultqvist Jon , Gallot-Lavallée Lucie , Salas-Leiva Dayana E. , Curtis Bruce A. , Záhonová Kristína , Čepička Ivan , Stairs Courtney W. , Pipaliya Shweta , Dacks Joel B. , Archibald John M. , Roger Andrew J. 
Published: November 2024

AbstractSymbiotic relationships between eukaryotes and prokaryotes played pivotal roles in the evolution of life and drove the emergence of specialized symbiotic structures in animals, plants and fungi. The host-evolved symbiotic structures of microbial eukaryotes – the vast majority of such hosts in nature – remain largely unstudied. Here we describe highly structured symbiosomes within three free-living anaerobic protists (Anaeramoeba spp.). We dissect this symbiosis using complete genome sequencing and transcriptomics of host and symbiont cells coupled with fluorescence in situ hybridization, and 3D reconstruction using focused-ion-beam scanning electron microscopy. The emergence of the symbiosome is underpinned by expansion of gene families encoding regulators of membrane trafficking and phagosomal maturation and extensive bacteria-to-eukaryote lateral transfer. The symbionts reside deep within a symbiosomal membrane network that enables metabolic syntrophy by precisely positioning sulfate-reducing bacteria alongside host hydrogenosomes. Importantly, the symbionts maintain connections to the Anaeramoeba plasma membrane, blurring traditional boundaries between ecto- and endosymbiosis.
Turning mine-tailing streams into sources of water and mineral salts in a membrane-sustained circular scenario
Authors: Fontananova Enrica , Pantuso Elvira , Donato Laura , Esposito Elisa , Rizzi Rosanna , Caliandro Rocco , Di Profio Gianluca 
Published: November 2024

AbstractThe discharge of wastewater from the mining industry has a critical ecological impact, potentially endangering both soil and marine ecosystems. Alternatively, recovering pure water and valuable materials from these hypersaline streams through a technologically efficient process, would help reduce the ecological impact of the waste, while providing a viable supply chain for raw materials such as magnesium, potassium and others, considered critical to the economy. In this context, this work aimed to simultaneously recover pure water and mineral salts from mine wastewater by membrane-assisted crystallization (MAC). A prior theoretical study based on thermodynamic parameters attempted to predict salts precipitation at different temperatures. MAC tests were then performed at specific thermal gradients and feed pretreatment conditions, achieving preferential precipitation of solids products of different composition containing large quantities of Ca or Mg/K minerals from the real mine tailing wastewater. The experiments also demonstrated the central impact of heterogeneous nucleation effects.
The anomalous state of Uranus’s magnetosphere during the Voyager 2 flyby
Authors: Jasinski Jamie M. , Cochrane Corey J. , Jia Xianzhe , Dunn William R. , Roussos Elias , Nordheim Tom A. , Regoli Leonardo H. , Achilleos Nick , Krupp Norbert , Murphy Neil 
Published: November 2024

Abstract
The Voyager 2 flyby of Uranus in 1986 revealed an unusually oblique and off-centred magnetic field. This single in situ measurement has been the basis of our interpretation of Uranus’s magnetosphere as the canonical extreme magnetosphere of the solar system; with inexplicably intense electron radiation belts and a severely plasma-depleted magnetosphere. However, the role of external forcing by the solar wind has rarely been considered in explaining these observations. Here we revisit the Voyager 2 dataset to show that Voyager 2 observed Uranus’s magnetosphere in an anomalous, compressed state that we estimate to be present less than 5% of the time. If the spacecraft had arrived only a few days earlier, the upstream solar wind dynamic pressure would have been ~20 times lower, resulting in a dramatically different magnetospheric configuration. We postulate that such a compression of the magnetosphere could increase energetic electron fluxes within the radiation belts and empty the magnetosphere of its plasma temporarily. Therefore, the interpretation of Uranus’s magnetosphere as being extreme may simply be a product of a flyby that occurred under extreme upstream solar wind conditions.