bluuebunny/crossref_metadata_2025_split huggingface dataset:
The sajals of the western Maya Lowlands: Hierarchy, competition, and political discourse during the Late Classic period
Authors: Regueiro Suárez Pilar 
Published: December 2024

AbstractDuring the Late Classic (a.d. 600–900), Maya stone monuments from the Western Lowlands documented people with the sajal title. This position was associated with corporate group leaders who acted as governors of secondary sites, supervised warfare-related activities, and manufactured and distributed goods. The increase in records, along with the elaboration of monuments by sajals with differing narratives from those of the rulers, has been identified as a contributing factor to the regional political instability that led to the abandonment of Classic Maya capitals. This article aims to analyze monuments from the political spheres of Yaxchilan, Piedras Negras, and Palenque using a discourse analysis approach to identify the discursive strategies sajals used to showcase and strengthen their hierarchical positions. To accomplish this, I will analyze the discourse in relation to the intermediality of monuments to examine how sajals rivaled the rulers of these cities. Additionally, I will explore the correlation between these discourses and the sociopolitical transformations that preceded the regional collapse in the ninth century a.d.
Retest reliability and reliable change of community-dwelling Black/African American older adults with and without mild cognitive impairment using NIH Toolbox-Cognition Battery and Cogstate Brief Battery for laptop
Authors: Rigby Taylor , Kavcic Voyko , Shair Sarah R. , Hill-Jarrett Tanisha G. , Garcia Sarah , Reader Jon , Persad Carol , Bhaumik Arijit K. , Pal Subhamoy , Hampstead Benjamin M. , Giordani Bruno 
Published: December 2024

Abstract

Objective:
With the increased use of computer-based tests in clinical and research settings, assessing retest reliability and reliable change of NIH Toolbox-Cognition Battery (NIHTB-CB) and Cogstate Brief Battery (Cogstate) is essential. Previous studies used mostly White samples, but Black/African Americans (B/AAs) must be included in this research to ensure reliability.

Method:
Participants were B/AA consensus-confirmed healthy controls (HCs) (n = 49) or mild cognitive impairment (MCI) (n = 34) adults 60–85 years that completed NIHTB-CB and Cogstate for laptop at two timepoints within 4 months. Intraclass correlations, the Bland-Altman method, t-tests, and the Pearson correlation coefficient were used. Cut scores indicating reliable change provided.

Results:
NIHTB-CB composite reliability ranged from .81 to .93 (95% CIs [.37–.96]). The Fluid Composite demonstrated a significant difference between timepoints and was less consistent than the Crystallized Composite. Subtests were less consistent for MCIs (ICCs = .01–.89, CIs [−1.00–.95]) than for HCs (ICCs = .69–.93, CIs [.46–.92]). A moderate correlation was found for MCIs between timepoints and performance on the Total Composite (r = -.40, p = .03), Fluid Composite (r = -.38, p = .03), and Pattern Comparison Processing Speed (r = -.47, p = .006).
On Cogstate, HCs had lower reliability (ICCs = .47–.76, CIs [.05–.86]) than MCIs (ICCs = .65–.89, CIs [.29–.95]). Identification reaction time significantly improved between testing timepoints across samples.

Conclusions:
The NIHTB-CB and Cogstate for laptop show promise for use in research with B/AAs and were reasonably stable up to 4 months. Still, differences were found between those with MCI and HCs. It is recommended that race and cognitive status be considered when using these measures.
Key technologies and research progress of intelligent weeding robots
Authors: Xu Hong , Li Tianhua , Hou Xianwei , Wu Huarui , Shi Guoying , Li Yang , Zhang Guanshan 
Published: December 2024

Abstract
The rapid and efficient removal of weeds is currently a research hotspot. With the integration of robotics and automation technology into agricultural production, intelligent field weeding robots have emerged. The development status of weeding robots is overviewed based on bibliometric and scientific mapping methods. Secondly, the two key technologies of weeding robots are summarized. Then, the research progress of precision spraying weeding robots, mechanical weeding robots, and thermal weeding robots with laser devices, categorized by their weeding methods, is reviewed. Finally, a summary and an outlook on the future development trends of intelligent field weeding robots are provided, aiming to offer a reference for further promoting the development of weeding robots.
Amino Acids as Indicators of Organic Matter Sources and Degradation in Suspended Matter off the Pearl River: Indications for Resuspension in the Northern South China Sea
Authors: Gaye Birgit , Lahajnar Niko , Frazão Helena C. , Metzke Marc , Perkuhn Carolin , Prien Ralf , Tian Shichao , Waniek Joanna J. 
Published: December 2024

AbstractSuspended matter (SPM) was sampled in a grid off the Pearl River mouth in the northern South China Sea (SCS). SPM concentrations and the content of total organic carbon (TOC), total nitrogen (TN), amino acids (AA) and hexosamines (HA) and derived biogeochemical indicators were used to study organic matter sources on the shelf and slope. A surface SPM maximum curtailed the water mass of mixed riverine and marine origin off the Pearl River mouth with salinities <30. SPM in this river plume was rich in organic matter of fresh planktic origin. In areas outside the river plume chlorophyll (Chl‐a) maxima were found at the subsurface nutricline. The AA composition shows that the degradation state of organic matter is very similar in all samples except in bottom water samples. Rather than degradation indicators, an indicator of SPM residence time in the ocean shows differences between samples from the upper 200 m and the deeper SPM samples. On the shelf and the shelf break a distinct SPM maximum was found above the sea floor. AA and HA spectra revealed that its organic matter was more degraded than the other SPM samples and that part of the organic matter in the bottom water turbidity maximum originated from the fine fraction of sediments. The state of organic matter implies that degradation of this resuspended material possibly adds to bottom water hypoxia; furthermore, contaminants originally deposited in shelf sediments can be redistributed into distal areas of the South China Sea.
Aerosol Direct Radiative Effects From Extreme Fire Events in Australia, California and Siberia Occurring in 2019–2020
Authors: Vescovini Thomas , Nabat Pierre , Mallet Marc , Solmon Fabien 
Published: December 2024

AbstractThis study aims at investigating the biomass burning aerosols (BBA) from 2019 to 2020 extreme wildfires in California, Australia and Siberia, in terms of aerosol characteristics and direct radiative effect. This study is based on the comparison between global climate simulations (ARPEGE‐Climat) and reference aerosol data sets (reanalyzes, ground‐based observations and satellite data). First, our results demonstrate the need to constrain the injection heights in the model in order to realistically represent extinction vertical profiles observed during fire events, both in the troposphere and in the lower stratosphere due to the contribution of pyro‐convection. Without specific vertical emission profiles for fires, the ARPEGE‐Climat simulations fail in representing aerosol extinction vertical profiles. For each region studied, the modeled aerosol optical depth (AOD) is extremely high (above 3 at 550 nm). An important long‐range transport of BBA emitted in Australia and California is shown, with high AOD further from sources. These extremely dense plumes significantly perturb the surface incident solar radiation and exert a large direct (surface) shortwave radiative effect up to −13, −29 and −17 W on monthly average over Australia (January 2020), California (September 2020) and Siberia (August 2019), respectively. A noteworthy positive BBA direct radiative effect (warming) is found at the top of the atmosphere, when dense and strongly absorbing smoke plumes are advected over cloudy oceanic regions, characterized by high surface albedo. This absorption leads to an increase of the solar heating rate up to 0.3 K with possible implications on the atmospheric temperature and dynamics.
Impact of Assimilating WindBorne Observations Following Different Parts of a TPV on the Predictability of an Arctic Cyclone During THINICE
Authors: Chen Zhihong , Johnson Aaron , Wang Xuguang 
Published: December 2024

AbstractThe impact of assimilating in‐situ observation inside a Tropopause Polar Vortex (TPV) from a novel weather balloon system, the WindBorne, on the predictability of the TPV and the coupled Arctic Cyclone (AC) is investigated using an AC case from the THINICE filed campaign. Two WindBornes continuously sampled inside and near the center of the TPV at various vertical levels for 27 hr before the cyclogenesis. The 27 hr were divided into three phases based on the different vertical levels sampled by WindBornes. The Root Mean Square Error (RMSE) of the forecasted cyclone is reduced from 12‐hr to 36‐hr forecast lead time as more phases of WindBornes are assimilated. This period corresponds to when the surface cyclone becomes superimposed with the TPV and rapidly deepens. Comparing the experiment with three phases of WindBorne observations assimilated versus the baseline, the cyclone expands southwestwards toward the TPV and forms a stronger coupled structure. Two analysis improvements leading to the improved AC predictability are revealed. First, a stronger circulation at and below the tropopause of the TPV is observed, leading to stronger coupling between the TPV and the surface cyclone in the forecast. Second, a mesoscale shortwave embedded in the synoptic trough is better constrained as more phases of WindBorne are assimilated. The north part of the TPV, which evolves from the shortwave trough, is therefore forecasted to be stronger. The sensitivity of forecast performance to horizontal localization parameter of the WindBorne observations is also studied. Larger localization parameters result in larger RMSE reduction compared to smaller values.
Suspended Sediment Transport and Storage in Arctic Deltas
Authors: Hines C. , Piliouras A. 
Published: December 2024

AbstractRiver fluxes to the Arctic Ocean impact sea ice extent, nutrient availability, and coastal ecosystems. Arctic river deltas modulate fluxes of water, sediment, and nutrients reaching the Arctic Ocean. Many large rivers have estimates or measurements of discharge and sediment concentration upstream of the delta apex, but the magnitude, timing, and spatial distribution of sediment fluxes to the Arctic coast are unknown. We developed a novel reduced‐complexity model of suspended sediment transport in Arctic deltas to address this knowledge gap. The model estimates suspended sediment delivery to the coast based on a computed channel network and sediment transport rules. We applied this model to six high‐latitude deltas during their open water seasons with different boundary conditions to account for their differences in morphology, seasonality, and hydrology. Flux distributions at the coast are found to be more uneven in larger deltas due to uneven channel spacing and larger variability in channel widths compared with smaller deltas. Given typical active season conditions, the deltas exhibit periods of deposition and erosion but are net depositional overall. Net sediment trapping during the active season ranges from 10% to 70%. Our results suggest that larger, more complex deltas with higher sediment supply and less flashy hydrographs store the most sediment and may therefore be more resilient to land loss. The sediment flux distribution can be used in future studies of coastal biogeochemistry and geomorphology and in regional models to capture the impacts of fluxes on turbidity, marine primary productivity, and Arctic warming.
Reproductive factors and risk of epithelial ovarian cancer: results from the Asia Cohort Consortium
Authors: Merritt Melissa A. , Abe Sarah Krull , Islam Md Rashedul , Rahman Md Shafiur , Saito Eiko , Katagiri Ryoko , Shin Aesun , Choi Ji-Yeob , Le Marchand Loïc , Killeen Jeffrey L. , Gao Yu-Tang , Tamakoshi Akiko , Koh Woon-Puay , Sakata Ritsu , Sawada Norie , Tsuji Ichiro , Sugawara Yumi , Kim Jeongseon , Park Sue K. , Kweon Sun-Seog , Shu Xiao-Ou , Kimura Takashi , Yuan Jian-Min , Tsugane Shoichiro , Kanemura Seiki , Lu Yukai , Shin Min-Ho , Wen Wanqing , Ahsan Habibul , Boffetta Paolo , Chia Kee Seng , Matsuo Keitaro , Qiao You-Lin , Rothman Nathaniel , Zheng Wei , Inoue Manami , Kang Daehee 
Published: December 2024

Abstract

Background
There are scarce data on risk factors for epithelial ovarian cancer (EOC) in Asian populations. Our goal was to advance knowledge on reproductive -related risk factors for EOC in a large population of Asian women.

Methods
This study used pooled individual data from baseline questionnaires in 11 prospective cohorts (baseline years, 1958–2015) in the Asia Cohort Consortium. A Cox proportional hazards regression model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) adjusting for age, parity and cohort.

Results
After a mean = 17.0 years (SD = 6.3) of follow-up, 674 incident invasive EOC cases were identified among 325,626 women. In multivariable adjusted models we observed an inverse association with parity (5+ children vs. 0, HR = 0.44, 95% CI = 0.28–0.68, Ptrend < 0.001), and a positive association with increasing menopausal age (55+ years vs. <45, HR = 1.77, 95% CI = 1.05–3.01, Ptrend = 0.02) for risk of all EOC.

Conclusions
In this large study of Asian women we identified an inverse association with parity and a positive association with higher menopausal age in relation to EOC risk. Further work is needed to understand EOC risk factors for rare histologic subtypes that occur more frequently in Asian populations.
Pro-survival roles for p21(Cip1/Waf1) in non-small cell lung cancer
Authors: Cutty SJ , Hughes FA , Ortega-Prieto P. , Desai S. , Thomas P. , Fets LV , Secrier M. , Barr AR 
Published: December 2024

Abstract
Background
Quiescence is reversible proliferative arrest. Multiple mechanisms regulate quiescence that are not fully understood. High expression of the CDK inhibitor p21Cip1/Waf1 correlates with a poor prognosis in non-small cell lung cancer (NSCLC) and, in non-transformed cells, p21 promotes quiescence after replication stress. We tested whether NSCLC cells enter p21-dependent quiescence and if this is advantageous to NSCLC cells.

Methods
Through analysis of patient data and quantitative, single-cell, timelapse imaging of genetically-engineered NSCLC reporter cell lines we investigated the role of p21 in NSCLC during normal proliferation and after chemotherapy.

Results
High p21 expression correlates with a poor prognosis in TP53 wild-type, but not TP53 mutant, NSCLC patients and TP53 wild-type NSCLC cells can enter p21-dependent quiescence, downstream of replication stress. Without p21, unrepaired DNA damage propagates into S-phase and cells display increased genomic instability. p21 expression confers survival advantages to TP53 wild-type NSCLC cells, during proliferation and after chemotherapy. p21 can promote tumour relapse by allowing recovery from both G1 and G2 arrests after chemotherapy.

Conclusions
p21-dependent quiescence exists in TP53 wild-type NSCLC cells and provides survival advantages to these cells. Targeting p21 function in TP53 wild-type tumours could lead to better outcomes for chemotherapy treatment in NSCLC patients.
Neural networks for predicting etiological diagnosis of uveitis
Authors: Jacquot Robin , Ren Lijuan , Wang Tao , Mellahk Insaf , Duclos Antoine , Kodjikian Laurent , Jamilloux Yvan , Stanescu Dinu , Sève Pascal 
Published: December 2024

Abstract
Background/objectives
The large number and heterogeneity of causes of uveitis make the etiological diagnosis a complex task. The clinician must consider all the information concerning the ophthalmological and extra-ophthalmological features of the patient. Diagnostic machine learning algorithms have been developed and provide a correct diagnosis in one-half to three-quarters of cases. However, they are not integrated into daily clinical practice. The aim is to determine whether machine learning models can predict the etiological diagnosis of uveitis from clinical information.

Methods
This cohort study was performed on uveitis patients with unknown etiology at first consultation. One hundred nine variables, including demographic, ophthalmic, and clinical information, associated with complementary exams were analyzed. Twenty-five causes of uveitis were included. A neural network was developed to predict the etiological diagnosis of uveitis. The performance of the model was evaluated and compared to a gold standard: etiological diagnosis established by a consensus of two uveitis experts.

Results
A total of 375 patients were included in this analysis. Findings showed that the neural network type (Multilayer perceptron) (NN-MLP) presented the best prediction of the etiological diagnosis of uveitis. The NN-MLP’s most probable diagnosis matched the senior clinician diagnosis in 292 of 375 patients (77.8%, 95% CI: 77.4–78.0). It achieved 93% accuracy (95% CI: 92.8–93.1%) when considering the two most probable diagnoses. The NN-MLP performed well in diagnosing idiopathic uveitis (sensitivity of 81% and specificity of 82%). For more than three-quarters of etiologies, our NN-MLP demonstrated good diagnostic performance (sensitivity > 70% and specificity > 80%).

Conclusion
Study results suggest that developing models for accurately predicting the etiological diagnosis of uveitis with undetermined etiology based on clinical information is feasible. Such NN-MLP could be used for the etiological assessments of uveitis with unknown etiology.
Nuclear microRNA 9 mediates G-quadruplex formation and 3D genome organization during TGF-β-induced transcription
Authors: Cordero Julio , Swaminathan Guruprasadh , Rogel-Ayala Diana G. , Rubio Karla , Elsherbiny Adel , Mahmood Samina , Szymanski Witold , Graumann Johannes , Braun Thomas , Günther Stefan , Dobreva Gergana , Barreto Guillermo 
Published: December 2024

AbstractThe dynamics of three-dimensional (3D) genome organization are essential to transcriptional regulation. While enhancers regulate spatiotemporal gene expression, chromatin looping is a means for enhancer-promoter interactions yielding cell-type-specific gene expression. Further, non-canonical DNA secondary structures, such as G-quadruplexes (G4s), are related to increased gene expression. However, the role of G4s in promoter-distal regulatory elements, such as super-enhancers (SE), and in chromatin looping has remained elusive. Here we show that mature microRNA 9 (miR-9) is enriched at promoters and SE of genes that are inducible by transforming growth factor beta 1 (TGFB1) signaling. Moreover, we find that miR-9 is required for formation of G4s, promoter-super-enhancer looping and broad domains of the euchromatin histone mark H3K4me3 at TGFB1-responsive genes. Our study places miR-9 in the same functional context with G4s and promoter-enhancer interactions during 3D genome organization and transcriptional activation induced by TGFB1 signaling, a critical signaling pathway in cancer and fibrosis.
ThirdPeak is a flexible tool designed for the robust analysis of two- and three-dimensional tracking data
Authors: Müller Thomas , Meiser Elisabeth , Engstler Markus 
Published: December 2024

AbstractBiological processes, though often imaged and visualized in two dimensions, inherently occur in at least three-dimensional space. As time-resolved volumetric imaging becomes increasingly accessible, there emerges a necessity for tools that empower non-specialists to process and interpret intricate datasets. We introduce ThirdPeak, an open-source tool tailored for the comprehensive analysis of two- and three-dimensional track data across various scales. Its versatile import and export options ensure seamless integration into established workflows, while the intuitive user interface allows for swift visualization and analysis of the data. When applied to live-cell diffusion data, this software demonstrates the benefits of integrating both 2D and 3D analysis, yielding valuable insights into the understanding of biological processes.
RNA-binding proteins hnRNPM and ELAVL1 promote type-I interferon induction downstream of the nucleic acid sensors cGAS and RIG-I
Authors: Kirchhoff Alexander , Herzner Anna-Maria , Urban Christian , Piras Antonio , Düster Robert , Mahlberg Julia , Grünewald Agathe , Schlee-Guimarães Thais M , Ciupka Katrin , Leka Petro , Bootz Robert J , Wallerath Christina , Hunkler Charlotte , de Regt Ann Kristin , Kümmerer Beate M , Christensen Maria Hønholt , Schmidt Florian I , Lee-Kirsch Min Ae , Günther Claudia , Kato Hiroki , Bartok Eva , Hartmann Gunther , Geyer Matthias , Pichlmair Andreas , Schlee Martin 
Published: December 2024

Abstract
The cytosolic nucleic acid sensors RIG-I and cGAS induce type-I interferon (IFN)-mediated immune responses to RNA and DNA viruses, respectively. So far no connection between the two cytosolic pathways upstream of IKK-like kinase activation has been investigated. Here, we identify heterogeneous nuclear ribonucleoprotein M (hnRNPM) as a positive regulator of IRF3 phosphorylation and type-I IFN induction downstream of both cGAS and RIG-I. Combining interactome analysis with genome editing, we further uncover the RNA-binding protein ELAV-like protein 1 (ELAVL1; also known as human antigen R, HuR) as an hnRNPM interactor. Depletion of hnRNPM or ELAVL1 impairs type-I IFN induction by herpes simplex virus 1 or Sendai virus. In addition, we show that hnRNPM and ELAVL1 interact with TANK-binding kinase 1, IκB kinase ε, IκB kinase β, and NF-κB p65. Our confocal microscopy experiments demonstrate cytosolic and perinuclear interactions between hnRNPM, ELAVL1, and TBK1. Furthermore, pharmacological inhibition of ELAVL1 strongly reduces cytokine release from type-I interferonopathy patient fibroblasts. The RNA-binding proteins hnRNPM and ELAVL1 are the first non-redundant regulators to bridge the cGAS/STING and RIG-I/MAVS pathways. Overall, our study characterizes the hnRNPM-ELAVL1 complex as a novel system promoting antiviral defense, pointing to a potential therapeutic target to reduce auto-inflammation in patients with type-I interferonopathies.
Differential‐sampling control algorithm and theoretical analysis for programmable‐Josephson‐voltage‐standard traceability application
Authors: Yin Xiaodong , Nie Qi , Li Xiaofei , Zhou Feng , Hu Haoliang , Zeng Feitong 
Published: December 2024

AbstractThe programmable Josephson voltage standard (PJVS) provides a new way and higher accuracy for the traceability of traditional measurement standards. To improve the applicability and reduce the uncertainty of the PJVS, a PJVS‐based analog‐to‐digital converter (ADC) scheme for the alternating‐current (AC) voltage measurement is proposed and the theoretical error model is derived based on discrete Fourier transform. The influence of the amplitude and phase error of the AC voltage is simulated; an adaptive differential‐sampling control algorithm is proposed to control the relative amplitude and phase between the AC voltage and PJVS voltage, improving the error of the PJVS‐based ADC. Furthermore, the authors obtained the exponential decay algorithm error curve that varies with phase error and the M‐shaped variation curve with sampling error by simulation and a PJVS‐based ADC with different sampling DVM, which provides possibilities for optimizing the measurement error of the PJVS‐based ADC.