bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Multi‐Decade Tracer Study of the Circulation and Spreading Rates of Atlantic Water in the Arctic Ocean
Authors: Pasqualini A. , Schlosser P. , Newton R. , Smethie W. M. , Friedrich R. 
Published: December 2024

AbstractIn this contribution, we present tritium‐3He (3H‐3He) apparent ages and hydrographic data from 21 expeditions spanning 27 years of Arctic Ocean section work (1987–2013) to estimate flow paths and spreading velocities of the Atlantic Waters (AW) circulation on a pan‐Arctic scale. Tracer data not only corroborate the well‐organized cyclonic flow along the continental slope but also introduce a temporal dimension to these observations. Additionally, they provide insights into other circulation branches of the Atlantic layer, which are hypothesized to be influenced by deep submarine ridges. Tracer measurements indicate that mean spreading rates vary across different branches of the circulation pattern. Along the boundary current, spreading velocities range from approximately 0.7 to 1.5 cm s−1, with no significant difference observed between the waters of the two vertically stacked Atlantic branches. Within the limits of our method, tracer data support the hypothesis originally proposed by Rudels et al. (1994), https://doi.org/10.1029/gm085p0033—of stable pathways in the Atlantic Layer, influenced by topographic constraints.
Distinct Energy Budgets of Mars and Earth
Authors: Guan Larry , Li Liming , Creecy Ellen C. , Jiang Xun , Wang Xinyue , Martínez Germán , Toigo Anthony D. , Richardson Mark I. , Sánchez‐Lavega Agustín , Lee Yeon Joo 
Published: December 2024

AbstractThe radiant energy budget (REB) is a fundamental physical parameter for planetary bodies, though studies constraining the REB for bodies beyond Earth are relatively limited. We generate the first meridional profiles of Mars' REB at seasonal and annual timescales through measurements based on long term multi‐instrument observations from spacecraft orbiting Mars. Then, we compare our findings to Earth's REB using contemporary satellite data sets. Each planet exhibits remarkably distinct seasonal REB distributions due to differences in their orbital, atmospheric, and surface properties. Annually, Earth's REB exhibits a tropical energy surplus and a deficit at the poles. In contrast, Mars' annual REB displays an inverted meridional distribution with significant hemispheric asymmetry. Additionally, global dust storms significantly modify the Martian REB. Our observations are employable in future studies to improve models on Mars' general circulation, meteorology, and polar ice cap evolution.
Neuroinflammatory history results in overlapping transcriptional signatures with heroin exposure in the nucleus accumbens and alters responsiveness to heroin in male rats
Authors: Floris Gabriele , Zanda Mary Tresa , Dabrowski Konrad R. , Daws Stephanie E. 
Published: December 2024

AbstractRecent progress in psychiatric research has highlighted neuroinflammation in the pathophysiology of opioid use disorder (OUD), suggesting that heightened immune responses in the brain may exacerbate opioid-related mechanisms. However, the molecular mechanisms resulting from neuroinflammation that impact opioid-induced behaviors and transcriptional pathways remain poorly understood. In this study, we have begun to address this critical knowledge gap by exploring the intersection between neuroinflammation and exposure to the opioid heroin, utilizing lipopolysaccharide (LPS)-induced neuroinflammation, to investigate transcriptional changes in the nucleus accumbens (NAc), an essential region in the mesolimbic dopamine system that mediates opioid reward. By integrating RNA sequencing with bioinformatic and statistical analyses, we observed significant transcriptional overlaps between neuroinflammation and experimenter-administered heroin exposure in the NAc. Furthermore, we identified a subset of NAc genes synergistically regulated by LPS and heroin, suggesting that LPS history may exacerbate some heroin-induced molecular neuroadaptations. We extended our findings to examine the impact of neuroinflammatory history on responsiveness to heroin in a locomotor sensitization assay and observed LPS-induced exacerbation of heroin sensitization, indicating that neuroinflammation may increase sensitivity to opioids’ behavioral effects. Lastly, we performed comparative analysis of the NAc transcriptional profiles of LPS-heroin rats with those obtained from voluntary heroin intake in a rat model of heroin self-administration (SA) and published human OUD datasets. We observed significant convergence of the three datasets and identified transcriptional patterns in the preclinical models that recapitulated human OUD neuropathology, highlighting the utility of preclinical models to further investigate molecular mechanisms of OUD pathology. Overall, our study elucidates transcriptional interconnections between neuroinflammation and heroin exposure, and also provides evidence of the behavioral ramifications of such interactions. By bridging the gap between neuroinflammation and heroin exposure at the transcriptional level, our work provides valuable insights for future research aimed at mitigating the influence of inflammatory pathways in OUD.
Reliability of high-quantity human brain organoids for modeling microcephaly, glioma invasion and drug screening
Authors: Ramani Anand , Pasquini Giovanni , Gerkau Niklas J. , Jadhav Vaibhav , Vinchure Omkar Suhas , Altinisik Nazlican , Windoffer Hannes , Muller Sarah , Rothenaigner Ina , Lin Sean , Mariappan Aruljothi , Rathinam Dhanasekaran , Mirsaidi Ali , Goureau Olivier , Ricci-Vitiani Lucia , D’Alessandris Quintino Giorgio , Wollnik Bernd , Muotri Alysson , Freifeld Limor , Jurisch-Yaksi Nathalie , Pallini Roberto , Rose Christine R. , Busskamp Volker , Gabriel Elke , Hadian Kamyar , Gopalakrishnan Jay 
Published: December 2024

Abstract
Brain organoids offer unprecedented insights into brain development and disease modeling and hold promise for drug screening. Significant hindrances, however, are morphological and cellular heterogeneity, inter-organoid size differences, cellular stress, and poor reproducibility. Here, we describe a method that reproducibly generates thousands of organoids across multiple hiPSC lines. These High Quantity brain organoids (Hi-Q brain organoids) exhibit reproducible cytoarchitecture, cell diversity, and functionality, are free from ectopically active cellular stress pathways, and allow cryopreservation and re-culturing. Patient-derived Hi-Q brain organoids recapitulate distinct forms of developmental defects: primary microcephaly due to a mutation in CDK5RAP2 and progeria-associated defects of Cockayne syndrome. Hi-Q brain organoids displayed a reproducible invasion pattern for a given patient-derived glioma cell line. This enabled a medium-throughput drug screen to identify Selumetinib and Fulvestrant, as inhibitors of glioma invasion in vivo. Thus, the Hi-Q approach can easily be adapted to reliably harness brain organoids’ application for personalized neurogenetic disease modeling and drug discovery.
Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors
Authors: Jayaweera Chamanthi Denisha , Fernandes del Pozo David , Hitsov Ivaylo Plamenov , Van Haeverbeke Maxime , Diekow Thomas , Verliefde Arne , Nopens Ingmar 
Published: December 2024

AbstractOptimizing dosages of corrosion inhibitors requires experimental data gathered from time-consuming methods. The current study examines the feasibility of optimizing inhibitor dosages using a model trained for predicting corrosion rates more easily measured using linear polarization resistance in a full-scale cooling water system. A comprehensive study on variable selection showed that linearly correlated variables are necessary to predict corrosion trends. The Sobol sensitivity of inhibitors is trivialized by variables linearly correlated to the corrosion rate. The study highlights the importance of achieving high model prediction accuracy and high Sobol sensitivity of inhibitors to the corrosion rate, for using the model for inhibitor dosage optimization.
Addressing brain metabolic connectivity in treatment-resistant schizophrenia: a novel graph theory-driven application of 18F-FDG-PET with antipsychotic dose correction
Authors: De Simone Giuseppe , Iasevoli Felice , Barone Annarita , Gaudieri Valeria , Cuocolo Alberto , Ciccarelli Mariateresa , Pappatà Sabina , de Bartolomeis Andrea 
Published: December 2024

AbstractFew studies using Positron Emission Tomography with 18F-fluorodeoxyglucose (18F-FDG-PET) have examined the neurobiological basis of antipsychotic resistance in schizophrenia, primarily focusing on metabolic activity, with none investigating connectivity patterns. Here, we aimed to explore differential patterns of glucose metabolism between patients and controls (CTRL) through a graph theory-based approach and network comparison tests. PET scans with 18F-FDG were obtained by 70 subjects, 26 with treatment-resistant schizophrenia (TRS), 28 patients responsive to antipsychotics (nTRS), and 16 CTRL. Relative brain glucose metabolism maps were processed in the automated anatomical labeling (AAL)-Merged atlas template. Inter-subject connectivity matrices were derived using Gaussian Graphical Models and group networks were compared through permutation testing. A logistic model based on machine-learning was employed to estimate the association between the metabolic signals of brain regions and treatment resistance. To account for the potential influence of antipsychotic medication, we incorporated chlorpromazine equivalents as a covariate in the network analysis during partial correlation calculations. Additionally, the machine-learning analysis employed medication dose-stratified folds. Global reduced connectivity was detected in the nTRS (p-value = 0.008) and TRS groups (p-value = 0.001) compared to CTRL, with prominent alterations localized in the frontal lobe, Default Mode Network, and dorsal dopamine pathway. Disruptions in frontotemporal and striatal-cortical connectivity were detected in TRS but not nTRS patients. After adjusting for antipsychotic doses, alterations in the anterior cingulate, frontal and temporal gyri, hippocampus, and precuneus also emerged. The machine-learning approach demonstrated an accuracy ranging from 0.72 to 0.8 in detecting the TRS condition.
A safe insect-based chikungunya fever vaccine affords rapid and durable protection in cynomolgus macaques
Authors: Adam Awadalkareem , Woolsey Courtney , Lu Hannah , Plante Kenneth , Wallace Shannon M. , Rodriguez Leslie , Shinde Divya P. , Cui Yingjun , Franz Alexander W. E. , Thangamani Saravanan , Comer Jason E. , Weaver Scott C. , Wang Tian 
Published: December 2024

AbstractEilat (EILV)/chikungunya virus (CHIKV), an insect-based chimeric alphavirus was previously reported to protect mice months after a single dose vaccination. The underlying mechanisms of host protection are not clearly defined. Here, we assessed the capacity of EILV/CHIKV to induce quick and durable protection in cynomolgus macaques. Both EILV/CHIKV and the live attenuated CHIKV 181/25 vaccine protected macaques from wild-type (WT) CHIKV infection 1 year after a single dose vaccination. Transcriptome and functional analyses reveal that EILV/CHIKV triggered T cell, memory B cell and antibody responses in a dose-dependent manner. EILV/CHIKV induced more robust, durable, and broader repertoire of CHIKV-specific T cell responses than CHIKV 181/25; whereas the latter group induced more durable memory B cells and comparable or higher CHIKV -specific neutralization and binding antibodies. EILV/CHIKV and an inactivated WT CHIKV protected macaques from WT CHIKV infection and CHIK fever (CHIKF) within 6 days post vaccination. Transcriptome analysis showed that the chimeric virus induced multiple innate immune pathways, including Toll-like receptor signaling, antigen presenting cell activation, and NK receptor signaling. EILV/CHIKV triggered quicker and more robust type I interferon and NK cell responses than the inactivated WT virus vaccine. Lastly, we developed a guinea pig sensitization model and demonstrated that the chimeric virus produced in insect cells, did not cause skin hypersensitivity reactions. Overall, EILV/CHIKV is safe, and confers rapid and long-lasting protection in cynomolgus macaques via preferential induction of robust innate immune signaling and superior T cell immunity.
Chilling- and dark-regulated photoprotection in Miscanthus, an economically important C4 grass
Authors: Haupt Jared , Glowacka Katarzyna 
Published: December 2024

AbstractTolerance of chilling dictates the geographical distribution, establishment, and productivity of C4 crops. Chilling reduces enzyme rate, limiting the sink for the absorbed light energy leading to the need for quick energy dissipation via non-photochemical quenching (NPQ). Here, we characterize NPQ upon chilling in three Miscanthus accessions representing diverse chilling tolerance in C4 grasses. High chilling tolerant accessions accumulate substantial amounts of zeaxanthin during chilling nights in both field and growth chamber settings. Chilling-induced zeaxanthin accumulation in the dark enhances rate of NPQ induction by 66% in the following morning. Based on our data, the emerging ways for the unique regulation of NPQ include post-translational regulation of violaxanthin de-epoxidase (VDE), VDE cofactor accessibility, and absence of transcriptional upregulation of zeaxanthin conversion back to violaxanthin. In the future, more studies will be required to obtain further evidence for these ways contributions to the chilling-dark regulation of NPQ. Engineering dark accumulation of zeaxanthin will help improve crop chilling tolerance and promote sustainable production by allowing early spring planting to maximize the use of early-season soil moisture. Driving the engineered trait by chilling inducible promoter would ensure the minimization of a trade-off between photoprotection and photosynthesis efficiency.
Response strategies to acute and chronic environmental stress in the arctic breeding Lapland longspur (Calcarius lapponicus)
Authors: Wu Zhou , Hindle Matthew M. , Bishop Valerie R. , Reid Angus M. A. , Miedzinska Katarzyna , Pérez Jonathan H. , Krause Jesse S. , Wingfield John C. , Meddle Simone L. , Smith Jacqueline 
Published: December 2024

AbstractThe potentially devastating effects of climate change have raised awareness of the need to understand how the biology of wild animals is influenced by extreme-weather events. We investigate how a wild arctic-breeding bird, the Lapland longspur (Calcarius lapponicus), responds to different environmental perturbations and its coping strategies. We explore the transcriptomic response to environmental adversity during the transition from arrival at the breeding grounds to incubation on the Arctic tundra. The effects of an extremely cold spring on arrival and a severe storm during incubation are examined through RNA-seq analysis of pertinent tissues sampled across the breeding cycle. The stress response, circadian rhythms, reproduction, and metabolism are all affected. A key gene of the Hypothalamic-Pituitary-Adrenal axis, FKBP5, was significantly up-regulated in hypothalamus. The genome assembly and gene expression profiles provide comprehensive resources for future studies. Our findings on different coping strategies to chronic and acute stressors will contribute to understanding the interplay between changing environments and genomic regulation.
Taxonomic variability and functional stability across Oregon coastal subsurface microbiomes
Authors: Soufi Hengameh H. , Porch Robert , Korchagina Masha V. , Abrams Joseph A. , Schnider Jared S. , Carr Ben D. , Williams Mark A. , Louca Stilianos 
Published: December 2024

AbstractThe factors shaping microbial communities in marine subsurface sediments remain poorly understood. Here, we analyzed the microbiome of subsurface sediments within a depth range of 1.6–1.9 m, at 10 locations along the Oregon coast. We used metagenomics to reconstruct the functional structure and 16S rRNA gene amplicon sequencing to estimate the taxonomic composition of microbial communities, accompanied by physicochemical measurements. Functional community structure, in terms of the proportions of various gene groups, was remarkably stable across samples, despite the latter covering a region spanning over 300 km. In contrast, taxonomic composition was highly variable, especially at the level of amplicon sequence variants (ASVs) and operational taxonomic units (OTUs). Mantel correlation tests between compositional dissimilarities and geographic distances revealed only a moderate influence of distance on composition. Regression models predicting taxonomic dissimilarities and considering up to 20 physicochemical variables as predictors, almost always failed to select a significant predictor, suggesting that variation in local conditions does not explain the high taxonomic variability. Permutation null models of community assembly revealed that taxa tend to strongly segregate, i.e., exclude each other. We conclude that biological interactions are important drivers of taxonomic variation in subsurface sediments, and that this variation can decouple from functional structure.
Odor prediction of whiskies based on their molecular composition
Authors: Singh Satnam , Schicker Doris , Haug Helen , Sauerwald Tilman , Grasskamp Andreas T. 
Published: December 2024

AbstractAroma compositions are usually complex mixtures of odor-active compounds exhibiting diverse molecular structures. Due to chemical interactions of these compounds in the olfactory system, assessing or even predicting the olfactory quality of such mixtures is a difficult task, not only for statistical models, but even for trained assessors. Here, we combine fast automated analytical assessment tools with human sensory data of 11 experienced panelists and machine learning algorithms. Using 16 previously analyzed whisky samples (American or Scotch origin), we apply the linear classifier OWSum to distinguish the samples based on their detected molecules and to gain insights into the key molecular structure characteristics and odor descriptors for sample type. Moreover, we use OWSum and a Convolutional Neural Network (CNN) architecture to classify the five most relevant odor attributes of each sample and predict their sensory scores with promising accuracies (up to F1: 0.71, MCC: 0.68, ROCAUC: 0.78). The predictions outperform the inter-panelist agreement and thus demonstrate previously impossible data-driven sensory assessment in mixtures.
Long term porosity of solid electrolyte interphase on model silicon anodes with liquid battery electrolytes
Authors: Grill Jonas , Popovic-Neuber Jelena 
Published: December 2024

AbstractA stable solid electrolyte interphase (SEI) is of great importance for battery electrodes in terms of cycling as well as for its shelf life. While SEI formation on silicon anodes is generally only studied after the first charge and discharge of cells and initial reaction of electrolyte, we show the formation of a liquid/solid SEI in symmetric cells with silicon electrodes in contact with carbonate and glyme-based electrolytes under close to open circuit conditions and its behavior during long-term ageing. Activation energies of SEIs were measured via temperature-dependent electrochemical impedance spectroscopy (EIS) to study the contribution of liquid/solid phases to ion transport. The effect of different solvents, salts, their concentrations, and final water content of the glyme-electrolyte on the SEI was studied in detail. SEIs formed in cells with glyme-based electrolytes are generally more porous than the ones in cells with carbonate-based electrolytes. The addition of vinylene carbonate to glyme electrolyte is shown to be beneficial for its SEI, as it causes lower and more stable SEI resistances over time. A small amount of water in glyme electrolytes causes a denser SEI without much change in SEI resistance.
The role of redox and structure on grain growth in Mn-doped UO2
Authors: Murphy Gabriel L. , Bazarkina Elena , Rossberg André , Silva Clara L. , Amidani Lucia , Bukaemskiy Andrey , Thümmler Robert , Klinkenberg Martina , Henkes Maximilian , Marquardt Julien , Lessing Jessica , Svitlyk Volodymyr , Hennig Christoph , Kvashnina Kristina O. , Huittinen Nina 
Published: December 2024

AbstractMn-doped UO2 is considered a potential advanced nuclear fuel due to ameliorated microstructural grain growth compared to non-doped variants. However, recent experimental investigations have highlighted limitations in grain growth apparently arising from misunderstandings of its redox-structural chemistry. To resolve this, we use synchrotron X-ray diffraction and spectroscopy measurements supported by ab initio calculations to cross-examine the redox and structural chemistry of Mn-doped UO2 single crystal grains and ceramic specimens. Measurements reveal Mn enters the UO2 matrix divalently as $$({{{Mn}}}_{x}^{+2}{{U}}_{1-x}^{+4}){{O}_{2-x}}$$

(

M
n

x

+
2

U

1
−
x

+
4

)

O

2
−
x

with the additional formation of fluorite Mn+2O in the bulk material. Extended X-ray absorption near edge structure measurements unveil that during sintering, the isostructural relationship between fluorite UO2 and Mn+2O results in inadvertent interaction and subsequent incorporation of diffusing U species within MnO, rather than neighbouring UO2 grains, inhibiting grain growth. The investigation consequently highlights the significance of considering total redox-structural chemistry of main and minor phases in advanced ceramic material design.
Cohort trends in intrinsic capacity in England and China
Authors: Beard John R. , Hanewald Katja , Si Yafei , Amuthavalli Thiyagarajan Jotheeswaran , Moreno-Agostino Dario 
Published: December 2024

Abstract
To understand how the health of older adults today compares to that of previous generations, we estimated intrinsic capacity and subdomains of cognitive, locomotor, sensory, psychological and vitality capacities in participants of the English Longitudinal Study of Ageing and the China Health and Retirement Longitudinal Study. Applying multilevel growth curve models, we found that more recent cohorts entered older ages with higher levels of capacity, while subsequent age-related declines were somewhat compressed compared to earlier cohorts. Trends were most evident for the cognitive, locomotor and vitality capacities. Improvements were large, with the greatest gains being in the most recent cohorts. For example, a 68-year-old participant of the English Longitudinal Study of Ageing born in 1950 had higher capacity than a 62-year-old born 10 years earlier. Trends were similar for men and women and were generally consistent across English and Chinese cohorts. Possible causes include broad societal influences and improvements in medical care.