bluuebunny/crossref_metadata_2025 huggingface dataset:
Changes in CD4+ T cells subsets in patients with alcohol-related cirrhosis
Authors: Zuluaga Paola , Zurera-Egea Coral , Fuster Daniel , Hernandez-Rubio Anna , Teniente-Serra Aina , Martínez-Cáceres Eva , Muga Roberto
Published: January 2025

Alcohol-related cirrhosis (AC) is a condition that impacts in immunity. We analyzed changes over time in CD4+subsets in AC-patients. We included patients with alcohol use disorder admitted at least twice for treatment. Patients without evidence of liver disease were the control group (CG). We analyzed naïve, memory, TEMRA, Th1, Th2, Th17, early activated, and late activated subsets. During the follow-up, TEMRA T cells were increased (1.2 ± 1.1% vs. 2.1 ± 1.1%, p = 0.03) in AC-patients (n = 5) and Th17 cells were decreased (14.1 ± 4.3% vs. 12.3 ± 6.4%, p = 0.03) in the CG (n = 22). Late activated cells were associated with a decrease in memory cells in both the groups. This association was stronger in AC-patients (r =  − 0.90, p = 0.04). The proportion of memory cells was correlated with an increased of Th1/Th2/Th17 cells  in the CG (r = 0.70, r = 0.68, r = 0.63; p < 0.01, respectively), whereas in AC-patients was correlated with a decrease in Th17 cells (r =  − 0.90, p = 0.03). AC-patients showed an increase in the proportion of TEMRA T cells, loss of heterogeneity and decreased CD4+ differentiation.
Chemotherapy-Induced Cell-Surface GRP78 Expression as a Prognostic Marker for Invasiveness of Metastatic Triple-Negative Breast Cancer
Authors: Alvarez-Elizondo Martha B. , Raiter Annat , Yerushalmi Rinat , Weihs Daphne
Published: January 2025

Metastasis remains the leading cause (90%) of cancer-related mortality, especially in metastatic triple-negative breast cancer (TNBC). Improved understanding of molecular drivers in the metastatic cascade is crucial, to find accurate prognostic markers for invasiveness after chemotherapy treatment. Current breast cancer chemotherapy treatments include doxorubicin and paclitaxel, inducing various effects, such as the unfolded protein response (UPR). The key regulator of the UPR is the 78-kDa glucose-regulated protein (GRP78), which is associated with metastatic disease, although, its expression level in the context of invasiveness is still controversial. We evaluate doxorubicin effects on TNBC cells, identifying GRP78 subpopulations linked to invasiveness. Specifically, we evaluate the motility and invasiveness of GRP78 positive vs. negative cell subpopulations by two different assays: the in vitro Boyden chamber migration assay and our innovative, rapid (2–3 h) clinically relevant, mechanobiology-based invasiveness assay. We validate chemotherapy-induced increase in the subpopulation of cell-surface GRP78(+) in two human, metastatic TNBC cell lines: MDA-MB-231 and MDA-MB-468. The GRP78(+) cell subpopulation exhibits reduced invasiveness and metastatic potential, as compared to whole-population control and to the GRP78(−) cell subpopulation, which are both highly invasive. Thus, using our innovative, clinically relevant assay, we rapidly (on clinical timescale) validate that GRP78(−) cells are likely linked with invasiveness, yet also demonstrate that combination of the GRP78(+) and GRP78(−) cells could increase the overall metastatic potential. Our results and approach could provide patient-personalized predictive marker for the expected benefits of chemotherapy in TNBC patients and potentially reveal non-responders to chemotherapy while also allowing evaluation of the clinical risk for metastasis.
Enhanced crayfish optimization algorithm with differential evolution’s mutation and crossover strategies for global optimization and engineering applications
Authors: Maiti Binanda , Biswas Saptadeep , Ezugwu Absalom El-Shamir , Bera Uttam Kumar , Alzahrani Ahmed Ibrahim , Alblehai Fahad , Abualigah Laith
Published: January 2025

Optimization algorithms play a crucial role in solving complex challenges across various fields, including engineering, finance, and data science. This study introduces a novel hybrid optimization algorithm, the Hybrid Crayfish Optimization Algorithm with Differential Evolution (HCOADE), which addresses the limitations of premature convergence and inadequate exploitation in the traditional Crayfish Optimization Algorithm (COA). By integrating COA with Differential Evolution (DE) strategies, HCOADE leverages DE’s mutation and crossover mechanisms to enhance global optimization performance. The COA, inspired by the foraging and social behaviors of crayfish, provides a flexible framework for exploring the solution space, while DE’s robust strategies effectively exploit this space. To evaluate HCOADE’s performance, extensive experiments are conducted using 34 benchmark functions from CEC 2014 and CEC 2017, as well as six engineering design problems. The results are compared with ten leading optimization algorithms, including classical COA, Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), Moth-flame Optimization (MFO), Salp Swarm Algorithm (SSA), Reptile Search Algorithm (RSA), Sine Cosine Algorithm (SCA), Constriction Coefficient-Based Particle Swarm Optimization Gravitational Search Algorithm (CPSOGSA), and Biogeography-based Optimization (BBO). The average rankings and results from the Wilcoxon Rank Sum Test provide a comprehensive comparison of HCOADE’s performance, clearly demonstrating its superiority. Furthermore, HCOADE’s performance is assessed on the CEC 2020 and CEC 2022 test suites, further confirming its effectiveness. A comparative analysis against notable winners from the CEC competitions, including LSHADEcnEpSin, LSHADESPACMA, and CMA-ES, using the CEC-2017 test suite, revealed superior results for HCOADE. This study underscores the advantages of integrating DE strategies with COA and offers valuable insights for addressing complex global optimization problems.
DNA metabarcoding of stomach contents shows predation impacts of black rats on island birds after a resource pulse are driven by numerical not functional response
Authors: Carpenter Joanna K. , Verry Alexander J. F. , Mitchell Kieren J. , Trought Katherine , Monks Adrian , Innes John , Griffiths James , Harvey Max , Wilmshurst Janet M.
Published: January 2025

Generalist predator populations often surge during resource pulses but decline sharply afterwards and shift to alternative prey sources, which experience elevated predation rates. Understanding these numerical and functional responses of predators to resource pulses is especially important for effectively managing island ecosystems, where invasive mammals are generalist predators and vulnerable indigenous birds are alternative prey. We used DNA metabarcoding of stomach contents to test whether the proportion of black rats (Rattus rattus) consuming birds changed during and after a mast seeding year in a New Zealand beech forest. Contrary to prevailing assumptions that black rats in forests consume birds only occasionally and increase their consumption of birds once a resource pulse finishes, we found that the overall proportion of rats consuming birds was surprisingly high (19.4%), and that the proportion of rats consuming birds did not change significantly across the three years of a beech mast cycle. We detected 15 unique bird taxa in the rat stomachs and 40 unique plant taxa. The frequency of beech consumption declined across the three years, as predicted. We conclude that (1) forest birds are a common part of rat diet rather than an occasional opportunistic prey item, and (2) the impact of black rats on indigenous birds following seed pulses is predominantly driven by the numerical response (increased numbers of rats present) rather than a functional (prey switching) response. Conservation interventions that seek to maximally and consistently suppress rats are therefore likely to have the best outcomes for birds.
Characteristics Associated with Engagement in the Early Detection Cascade of Care for Psychosis at a College Counseling Center
Authors: Barans Sam , Saavedra Justine L. , Lardier David T. , Tohen Mauricio , Lenroot Rhoshel , Bustillo Juan , Halperin Dawn , Friedman Bess , Loewy Rachel , Murray-Krezan Cristina , McIver Stephanie , Crisanti Annette S.
Published: January 2025

Using the Cascade of Care framework, we explored the demographic and clinical characteristics of students at six stages in an early psychosis detection program at a college counseling center, with a focus on the transition between stages with the highest disengagement. We detailed and compared the demographic and clinical characteristics of those who (1) completed the Prodromal Questionnaire-Brief (PQ-B, N = 1588); (2) met the PQ-B cutoff score (n = 486); (3) were referred for secondary phone screening (n = 404); (4) completed secondary phone screening (n = 198); (5) completed a Coordinated Specialty Care (CSC) eligibility assessment (n = 51); and (6) were enrolled in CSC (n = 21). Education level and gender identity were associated with engagement at multiple stages of the early detection cascade. Graduate education level, transgender or gender diverse gender identity, alcohol use, and depressive symptoms predicted student follow-through with referral to secondary phone screenings.
The Stockholm early detection of cancer study (STEADY-CAN): rationale, design, data collection, and baseline characteristics for 2.7 million participants
Authors: Nemlander Elinor , Abedi Eliya , Ljungman Per , Hasselström Jan , Carlsson Axel C. , Rosenblad Andreas
Published: January 2025

The Stockholm Early Detection of Cancer Study (STEADY-CAN) cohort was established to investigate strategies for early cancer detection in a population-based context within Stockholm County, the capital region of Sweden. Utilising real-world data to explore cancer-related healthcare patterns and outcomes, the cohort links extensive clinical and laboratory data from both inpatient and outpatient care in the region. The dataset includes demographic information, detailed diagnostic codes, laboratory results, prescribed medications, and healthcare utilisation data. Since its inception, STEADY-CAN has collected longitudinal data on 2,732,005 individuals aged ≥ 18 years old living in or having access to health care in Stockholm County during the years 2011–2021. Focusing on cancer, the cohort includes 140,042 (5.1%) individuals with incident cancer and a control group of 2,591,963 (94.9%) cancer-free individuals. The cohort’s diverse adult population enables robust analyses of early symptom detection, incidental findings, and the impact of comorbidities on cancer diagnoses. Utilizing the wide range of available laboratory data and clinical variables allow for advanced statistical analyses and adjustments for important confounding factors. The cohort’s primary focus is to improve understanding of the early diagnostic phase of cancer, offering a crucial resource for studying cancer detection in clinical practice. Its comprehensive data collection provides unique opportunities for research into comorbidities and cancer outcomes, making the cohort a useful resource for ongoing cancer surveillance and public health strategies. The present study gives a detailed description of the rationale for creating the STEADY-CAN cohort, its design, the data collection procedure, and baseline characteristics of collected data.
Aboveground biomass estimation in a grassland ecosystem using Sentinel-2 satellite imagery and machine learning algorithms
Authors: Netsianda Andisani , Mhangara Paidamwoyo
Published: January 2025

The grassland ecosystem forms a critical part of the natural ecosystem, covering up to 15–26% of the Earth’s land surface. Grassland significantly impacts the carbon cycle and climate regulation by storing carbon dioxide. The organic matter found in grassland biomass, which acts as a carbon source, greatly expands the carbon stock in terrestrial ecosystems. Correct estimation of above ground biomass (AGB) and its spatial and temporal changes is vital for determining the carbon cycle of the grassland. Datasets from multiple sources were fused to accomplish the objective of the study. The Sentinel-2 sensor band, vegetation index (NDVI), and Shuttle Radar Topography Mission (SRTM) DEM products were used as predictor variables, while Global Ecosystem Dynamics Investigations (GEDI) mean above-ground biomass density (AGBD) data was used to train the model. Random forest (RF) and gradient boosting were used to estimate the AGB of the grassland biome. We also identified the correlation between Sentinel-2-derived vegetation indices and ground-based measurements of leaf area index (LAI). The processing duration, parameter requirements, and human intervention are reduced with RF and gradient boosting algorithms. Due to its fundamental concept, ensemble algorithms effectively handled multi-modal data and automatically conducted spectral selection. The findings show variations in the study area’s AGB concentration throughout five years. According to the results, gradient boosting models outperformed RF models in both years. RF achieved the highest R
2 value of 0.5755 Mg/ha, while gradient boosting achieved the highest R
2 value of 0.7298 Mg/ha. Sentinel-2-derived VI vs LAI results show that NDVI was the best-performing model with an R
2 value of 0.6396 m2 m−2 and an RMSE of 0.159893 m2 m−2, followed by OSAVI, NDRE, and MSAVI. This result shows that sensor data and field biophysical data can map the terrestrial ecosystem’s biomass.
Genetic polymorphisms of the Growth Hormone (GH) gene in Damascus and Black Bengal male goats
Authors: Moawad Mahmoud A. , Aboshady Hadeer M. , Abd-Alla Mamdouh S. , Ghanem Nasser , Abdel-Moneim Ahmed Y. , Nishibori Masahide , Yonezawa Takahiro , Mannen Hideyuki , Agamy Rania
Published: January 2025

Sustainable agriculture approaches necessitate a concerted effort from researchers to establish paths that meet global population needs without compromising environmental resources. Goats are unique among ruminants because of their ability to adapt to some of the harshest environments around the world. Growth Hormone (GH) gene is a major regulator of muscle mass growth. Therefore, our study aims to analyze the whole sequence of GH gene in order to identify various single nucleotide polymorphisms (SNPs) in Damascus and Black Bengal goats (BBG) and to predict the effect of mutant residues on the protein’s structure and function. Additionally, this study examined the effects of these SNPs on growth characteristics in Damascus goats. The study was designed to test 22 male goats. To obtain high-quality amplification of the GH gene, we utilized the nested PCR technique and performed paired-end sequencing for each fragment. Sequences alignment in the GH gene of Damascus and BBG goats unveiled 25 SNPs with different frequencies within the two breeds. Seven SNPs identified in coding regions comprised four synonymous variants (719 C → T, 731 G → A, 1610 C → T and 1625 C → T) and three non-synonymous variants (1112 G → A, 1459 C → T and 1470 C → T). The SNP 1112 G → A led to the substitution of Glutamic acid with Lysine (E/K) at amino acid position 137. The SNP 1459 C → T led to the substitution of Alanine with Valine (A/V) at amino acid position 160. Meanwhile, the SNP 1470 C → T led to the substitution of Leucine with Phenylalanine(L/F) at amino acid position 164. The SNP 1112 G → A was predicted to have a deleterious effect on the protein’s structure and function. The SNPs 914 G → A and 1112 G → A showed significant differences (P < 0.05) between genotypes in pre-slaughter weight and almost carcass cuts in Damascus goats, indicating their possible use in breeding programs as a potential genetic marker for weight/size in goats as well as in assessing and choosing members of this breed for meat production.
Recordings on PIEZO1-Overexpressing Oocytes in Microgravity
Authors: Wuest Simon L. , Cerretti Geraldine , Polzer Jennifer , Gerig Simon , Zumbühl Christoph , Jost Christian , Rüfenacht Lukas , Eberli Robert , Krucker-Bösch Barbara , Traversari Julia , Horn Melanie , Pérez Daniel Invernot , Giger-Lange Christina , Rattenbacher-Kiser Karin F. , Ille Fabian , Székely Gerhard , Lienkamp Soeren S. , Egli Marcel
Published: January 2025

Exposure to acute and prolonged microgravity triggers numerous physiological adaptations. To date, the underlying molecular mechanisms are not well understood, and several pathways have been proposed. Among other candidates, specific ion channels are hypothesized to be gravity dependent, but it has not been possible to conclusively demonstrate gravity dependency of specific protein entities. Therefore, we developed a miniaturized two-electrode voltage clamp (TEVC) that allowed electrophysiological experiments on Xenopus laevis oocytes using the GraviTower Bremen Prototype (GTB-Pro). The GTB-Pro is capable of flying experiments on a vertical parabolic trajectory, providing microgravity for a few seconds. As an interesting first candidate, we examined whether the nonselective mechanosensitive ion channel PIEZO1 is gravity dependent. The results showed no difference between PIEZO1-overexpressing and control oocytes under acute microgravity conditions.
Elevating Developers’ Accountability Awareness in AI Systems Development
Authors: Schmidt Jan-Hendrik , Bartsch Sebastian Clemens , Adam Martin , Benlian Alexander
Published: January 2025

The increasing proliferation of artificial intelligence (AI) systems presents new challenges for the future of information systems (IS) development, especially in terms of holding stakeholders accountable for the development and impacts of AI systems. However, current governance tools and methods in IS development, such as AI principles or audits, are often criticized for their ineffectiveness in influencing AI developers’ attitudes and perceptions. Drawing on construal level theory and Toulmin’s model of argumentation, this paper employed a sequential mixed method approach to integrate insights from a randomized online experiment (Study 1) and qualitative interviews (Study 2). This combined approach helped us investigate how different types of accountability arguments affect AI developers’ accountability perceptions. In the online experiment, process accountability arguments were found to be more effective than outcome accountability arguments in enhancing AI developers’ perceived accountability. However, when supported by evidence, both types of accountability arguments prove to be similarly effective. The qualitative study corroborates and complements the quantitative study’s conclusions, revealing that process and outcome accountability emerge as distinct theoretical constructs in AI systems development. The interviews also highlight critical organizational and individual boundary conditions that shape how AI developers perceive their accountability. Together, the results contribute to IS research on algorithmic accountability and IS development by revealing the distinct nature of process and outcome accountability while demonstrating the effectiveness of tailored arguments as governance tools and methods in AI systems development.
Mindfulness Interfused with Humor: Insights From a Randomized Controlled Trial of a Humor-Enriched Mindfulness-Based Program
Authors: Kastner Christian T.
Published: January 2025

Objectives

Both mindfulness and humor are inherently connected to well-being. Recent research found evidence for their combined effect in a joint training, the Humor-Enriched Mindfulness-Based Program (HEMBP). This study extends these findings by exploring (1) effects of Mindfulness-Based Stress Reduction (MBSR) on different forms of humor, (2) differential effects of the HEMBP on outcomes compared to MBSR, and (3) whether the HEMBP and MBSR may alter worldviews.

Method

Ninety participants were randomly allocated to three conditions: the HEMBP, MBSR, and a wait-list control group. Participants’ mindfulness, psychological well-being, life satisfaction, perceived stress, comic styles, and primal world beliefs (primals) were assessed before and after the trainings, and at 1-, 3-, and 6-month follow-ups. Changes in outcome variables over time were modeled by applying linear mixed-effects models.

Results

The HEMBP enhanced participants’ mindfulness, benevolent humor, psychological well-being, and life satisfaction compared to the wait-list control. Similarly, MBSR increased participants’ mindfulness and life satisfaction while reducing perceived stress and primal good, but no effects on humor were observed. Comparison between the two trainings revealed trends toward a greater increase in benevolent humor in the HEMBP group and a greater decrease in good in the MBSR group.

Conclusion

The results largely replicate previous research on the efficacy of the HEMBP. Both programs demonstrated similar effects on outcomes, with only the HEMBP increasing benevolent humor and psychological well-being, while MBSR reduced stress. Further research is needed to investigate qualitative aspects of the integration of humor in MBPs and the long-term impact of MBPs on individuals’ worldviews.

Preregistration

This study is not preregistered.
Kasner Bounces and Fluctuating Collapse Inside Hairy Black Holes with Charged Matter
Authors: Li Warren , Van de Moortel Maxime
Published: January 2025

We study the interior of black holes in the presence of charged scalar hair of small amplitude $$\epsilon $$
ϵ
on the event horizon and show their terminal boundary is a crushing Kasner-like singularity. These spacetimes are spherically symmetric, spatially homogeneous and they differ significantly from the hairy black holes with uncharged matter previously studied in [M. Van de Moortel, Violent nonlinear collapse inside charged hairy black holes, Arch. Rational. Mech. Anal., 248, 89, 2024] in that the electric field is dynamical and subject to the backreaction of charged matter. We prove this charged backreaction causes drastically different dynamics compared to the uncharged case that ultimately impact the formation of the spacelike singularity, exhibiting novel phenomena such as

Collapsed oscillations: oscillatory growth of the scalar hair, nonlinearly induced by the collapse

A fluctuating collapse: The final Kasner exponents’ dependency in $$\epsilon $$
ϵ
is via an expression of the form

$$|\sin \left( \omega _0 \cdot \epsilon ^{-2}+ O(\log (\epsilon ^{-1}))\right) |$$

|
sin

ω
0

·

ϵ

-
2

+
O

(
log

(

ϵ

-
1

)

)

|

.

A Kasner bounce: a transition from an unstable Kasner metric to a different stable Kasner metric

The Kasner bounce occurring in our spacetime is reminiscent of the celebrated BKL scenario in cosmology.

We additionally propose a construction indicating the relevance of the above phenomena – including Kasner bounces – to spacelike singularities inside more general (asymptotically flat) black holes, beyond the hairy case.

While our result applies to all values of $$\Lambda \in \mathbb {R}$$

Λ
∈
R

, in the $$\Lambda <0$$

Λ
<
0

case, our spacetime corresponds to the interior region of a charged asymptotically Anti-de-Sitter stationary black hole, also known as a holographic superconductor in high-energy physics, and whose exterior region was rigorously constructed in the recent mathematical work [W. Zheng, Asymptotically Anti-de Sitter Spherically Symmetric Hairy Black Holes, arXiv.2410.04758].
Everyone Is Safe Now: Constructing the Meaning of Data Privacy Regulation in Vietnam
Authors: Huynh Tu Thien
Published: January 2025

This article explores Vietnam’s distinctive approach to data privacy regulation and its implications for the established understandings of privacy law. While global data privacy regulations are premised on individual freedom and integrity of information flows, the recent Vietnamese Decree 13/2023/NĐ-CP on Personal Data Protection (herein PDPD) prioritise state oversight and centralised control over information flows to safeguard collective interests and cyberspace security. The fresh regulatory logic puts data privacy under the regulation of government agencies and moves the privacy law arena even further away from the already distant judicial power. This prompts an exploration of the nuances underlying the ways regulators and the regulated communities understand data privacy regulation. The article draws on social constructionist accounts of regulation and discourse analysis to explore the epistemic interaction between regulators and those subject to regulation during the PDPD’s drafting period. The process is highlighted by the dynamics between actors within a complex semantic network established by the state’s policy initiatives, where tacit assumptions and normative beliefs direct the way actors in various communities favour one type of thinking about data privacy regulation over another. The findings suggest that reforms to privacy laws may not result in “more privacy” to individuals and that divergences in global privacy regulation may not be easily explained by drawing merely from cultural and institutional variances.
Institutional community engagement leader perspectives on supporting ethical community-engaged research
Authors: Cargill Stephanie Solomon , Shore Nancy , Olech Rachel , Friesen Phoebe , Rowe Jessica , Khoury-Shakour Sana , Anderson Emily E.
Published: January 2025

Introduction:

Over the last couple of decades, there has been a growing awareness of the value of community-engaged research (CEnR). Simultaneously, many academic institutions have established centralized support for CEnR. For example, dozens of academic medical centers in the United States receive National Institutes of Health (NIH)-funded Clinical and Translational Science Awards (CTSAs) and have embedded community engagement programs (CE) whose primary expertise and mission is to advance CEnR at their institutions.

Methods:

As part of a larger interview study aiming to learn more about how institutional CE programs and HRPPs work together, we analyzed interviews with CE program leaders at academic medical centers that receive funding from the NIH CTSA program to identify barriers and strategies to conducting CEnR at their institutions, primarily focusing on the relationships with Institutional Review Boards (IRBs).

Results:

We identified three categories in the interviews: barriers and strategies vis-à-vis IRBs to address 1) CE/IRB relationships; 2) Understanding issues; and 3) Structural and resource issues.

Conclusions:

CTSA CE program leaders have experience implementing solutions to common barriers to IRB review faced by CEnR researchers. The barriers they face in these three categories and the strategies they use to overcome them can provide helpful insights to others who hope to facilitate CEnR research at their institutions.
Between Ningbo and Nara: Traveling Chinese Artisans in Medieval Japan and Their Networks
Authors: Li Yiwen
Published: January 2025

In the late twelfth century, four Chinese stonemasons migrated to Japan from the Chinese coastal city of Ningbo. They participated in the most important contemporary building project in Japan—the reconstruction of the prestigious Tōdaiji monastery in Nara following the Genpei War. Drawing on Chinese and Japanese textual records, archaeological evidence from the quarry sites, and the existing stone works, this study investigates the network that facilitated the movement of the artisans and their materials between China and Japan and sheds light on the relationship between artisans and religious monuments from a transnational perspective. This study explores how the migrant artisans’ expertise and connections enabled them to establish roots in a new society. Additionally, it examines the timing of the artisans’ migration within the broader context of Japan’s societal transformations, aiming to highlight the connectivity fostered by maritime networks in premodern East Asia.
Performance of the segment anything model in various RFI/events detection in radio astronomy
Authors: Yang Yanbin , Zhao Feiyu , Liang Ruxi , Guo Quan , Gu Junhua , Huang Yan , Yu Yun
Published: January 2025

The emerging era of big data in radio astronomy demands more efficient and higher-quality processing of observational data. While deep learning methods have been applied to tasks such as automatic radio frequency interference (RFI) detection, these methods often face limitations, including dependence on training data and poor generalisation, which are also common issues in other deep learning applications within astronomy. In this study, we investigate the use of the open-source image recognition and segmentation model, Segment Anything Model (SAM), and its optimised version, HQ-SAM, due to their impressive generalisation capabilities. We evaluate these models across various tasks, including RFI detection and solar radio burst (SRB) identification. For RFI detection, HQ-SAM (SAM) shows performance that is comparable to or even superior to the SumThreshold method, especially with large-area broadband RFI data. In the search for SRBs, HQ-SAM demonstrates strong recognition abilities for Type II and Type III bursts. Overall, with its impressive generalisation capability, SAM (HQ-SAM) can be a promising candidate for further optimisation and application in RFI and event detection tasks in radio astronomy.
Higher amplitudes of visual networks are associated with trait- but not state-depression
Authors: Zhang Wei , Dutt Rosie , Lew Daphne , Barch Deanna M. , Bijsterbosch Janine D.
Published: January 2025

Despite depression being a leading cause of global disability, neuroimaging studies have struggled to identify replicable neural correlates of depression or explain limited variance. This challenge may, in part, stem from the intertwined state (current symptoms; variable) and trait (general propensity; stable) experiences of depression.

Here, we sought to disentangle state from trait experiences of depression by leveraging a longitudinal cohort and stratifying individuals into four groups: those in remission (‘trait depression group’), those with large longitudinal severity changes in depression symptomatology (‘state depression group’), and their respective matched control groups (total analytic n = 1030). We hypothesized that spatial network organization would be linked to trait depression due to its temporal stability, whereas functional connectivity between networks would be more sensitive to state-dependent depression symptoms due to its capacity to fluctuate.

We identified 15 large-scale probabilistic functional networks from resting-state fMRI data and performed group comparisons on the amplitude, connectivity, and spatial overlap between these networks, using matched control participants as reference. Our findings revealed higher amplitude in visual networks for the trait depression group at the time of remission, in contrast to controls. This observation may suggest altered visual processing in individuals predisposed to developing depression over time. No significant group differences were observed in any other network measures for the trait-control comparison, nor in any measures for the state-control comparison. These results underscore the overlooked contribution of visual networks to the psychopathology of depression and provide evidence for distinct neural correlates between state and trait experiences of depression.
The effect of context on the processing and learning of novel L2 vocabulary while reading
Authors: Chandy Radha , Serrano Raquel , Pellicer-Sánchez Ana
Published: January 2025

Encountering new words multiple times in the input is crucial for incidental vocabulary acquisition. While there is extensive research exploring the impact of word frequency on both learning and processing of novel vocabulary during reading, there is a notable gap in studies examining how contextual factors impact these processes, especially when reading texts, rather than short sentences. The present study aims to fill this gap by exploring the effect of contextual diversity or sameness on adult L2 English learners’ processing and incidental learning of novel lexical items through repeated reading of complete texts. Participants (N = 42) read one short story three times as well as three different stories, while their eye movements were recorded. Each contextual condition (Same vs. Different) contained ten pseudowords, repeated six times across the treatment. Participants were tested on both immediate and delayed vocabulary learning via form and meaning recognition tests. Our results indicate that repeated readings of the same text led to faster processing as well as better short-term learning of novel vocabulary, although this advantage was not retained for long-term learning. In contrast, initial encoding and lexical integration took longer in the Different condition, although this was not reflected in higher vocabulary gains either in the short- or the long term.
Legal Proof Should Be Justified Belief of Guilt
Authors: Günther Mario
Published: January 2025

This article argues that legal proof should be tantamount to justified belief of guilt. A defendant should be found guilty just in case it is justified to believe that the defendant is guilty. My notion of justified belief implies a threshold view on which justified belief requires high credence, but mere statistical evidence does not give rise to justified belief.
The Contrasting Role of Marine‐ and Land‐Terminating Glaciers on Biogeochemical Cycles in Kongsfjorden, Svalbard
Authors: Schmidt C. E. , Pröfrock D. , Steinhoefel G. , Stichel T. , Mears C. , Wehrmann L. M. , Thomas H.
Published: January 2025

This case study of Kongsfjorden, western coastal Svalbard, provides insights on how freshwater runoff from marine‐ and land‐terminating glaciers influences the biogeochemical cycles and distribution patterns of carbon, nutrients, and trace elements in an Arctic fjord system. We collected samples from the water column at stations along the fjord axis and proglacial river catchments, and analyzed concentrations of dissolved trace elements, together with dissolved nutrients, as well as alkalinity and dissolved inorganic carbon. Statistical tools were applied to identify and quantify biogeochemical processes within the fjord that govern the constituent distributions. Our results suggest that the glacier type affects nutrient availability and, therefore, primary production. Glacial discharge from both marine‐terminating glaciers and riverine discharge from land‐terminating glaciers are important sources of dissolved trace elements (dAl, dMn, dCo, dNi, dCu, and dPb) that are involved in biological and scavenging processes within marine systems. We identified benthic fluxes across the sediment‐water interface to supply fjord waters with silicate, dFe, dCu, and dZn. Our data show that intensive carbonate weathering in proglacial catchments supplies fjord waters with additional dissolved carbonates and, therefore, attenuates reduced buffering capacities caused by glacial runoff. Our study provides valuable insight into biogeochemical processes and carbon cycling within a climate‐sensitive, high‐latitude fjord region, which may help predict Arctic ecosystem changes in the future.
ENSO Enhances Seasonal River Discharge Instability and Water Resource Allocation Pressure
Authors: Zhu Minxiang , Yu Dan , Yu Yiqi , Zheng Yi , Li Shaobin , Cai Ximing , Chen Nengwang
Published: January 2025

The El Niño‐Southern Oscillation (ENSO) significantly disrupts Pacific Ocean watershed hydrology, affecting water supply reliability. However, the specific ways in which ENSO affects seasonal river discharge remain underexplored, presenting a significant gap in our understanding of climate‐water interactions. Our study reveals that ENSO exacerbates river discharge variability, evident in the dynamics of maximum rise (Dr) and fall (Df) in standardized discharge, and their duration (M). Notably, ENSO augments Dr but shortens M in major rivers like the Yangtze. Employing a novel metric, the Discharge Instability Index (DII), we find that DII surges by at least 69% in El Niño years, particularly in southwestern North American watersheds. Vegetation and precipitation emerge as pivotal in shaping the discharge response to ENSO. Predictive modeling with DII suggests an escalation in discharge instability under climate warming, with a 0.11%–9.46% increase. This insight calls for water managers to integrate ENSO‐induced seasonal variations into strategic planning, blending immediate actions like dam regulation with long‐term initiatives such as afforestation, to counteract climate‐induced water scarcity.
ALDOA contributes to colorectal tumorigenesis and metastasis by targeting YAP
Authors: Sun Liang , Lu Ting , Jiang Linhua , Yao Huihui , Xu Qixuan , Sun Jie , Yang Xiaoqin , He Songbing , Zhu Xinguo
Published: January 2025

Metabolic reprogramming is considered one of the hallmarks of cancer in which cancer cells reprogram some of their metabolic cascades, mostly driven by the specific chemical microenvironment in cancer tissues. The altered metabolic pathways are increasingly being considered as potential targets for cancer therapy. In this view, Aldolase A (ALDOA), a key glycolytic enzyme, has been validated as a candidate oncogene in several cancers. The current study aimed to investigate the role of ALDOA in the initiation and development of colorectal cancer (CRC). In this study, we observed an elevated expression of ALDOA in human CRC tissues and a positive correlation of elevated ALDOA expression with tumor size, invasion depth, LNM, and TNM stage. Kaplan–Meier analysis revealed that elevated ALDOA levels correlated with a poor prognosis in CRC patients with stage I-III, whereas the prognosis tends to be favorable in patients with advanced CRC. In addition, loss of function and gain of function experiments showed that ALDOA promoted CRC cell proliferation and migration in vitro and in vivo. Mechanistically, high ALDOA expression inhibited AMP-activated protein kinase (AMPK) phosphorylation possibly through regulating cellular glycolysis or the formation of v-ATPase-regulator-AXIN/LKB1 complex, which led to Yes-associated protein (YAP) unphosphorylation and enhanced the proliferative and migratory potential of CRC cells. Finally, the positive correlation between ALDOA and YAP signaling was also confirmed in clinical CRC tissues and the public data. Herein, ALDOA was identified to be a new metabolic regulator of YAP that suppresses the activation of AMPK signaling. This could suggest a novel avenue for treating CRC by inhibiting both ALDOA and YAP signaling.
A trimetallic bismuth(I)-based allyl cation
Authors: Spinnato Davide , Nöthling Nils , Leutzsch Markus , van Gastel Maurice , Wagner Lucas , Neese Frank , Cornella Josep
Published: January 2025

The chemistry of low-valent bismuth compounds has recently unlocked new concepts in catalysis and unique electronic structure fundamentals. In this work, we describe the synthesis and characterization of a highly reduced bismuth salt featuring a cationic core based on three contiguous Bi(I) centres. The triatomic bismuth-based core exhibits an electronic configuration that mimics the canonical description of the archetypical carbon-based π-allyl cation. Structural, spectroscopic and theoretical analyses validate the unique π-delocalization between the bismuth’s highly diffused 6p orbitals, resulting in a bonding situation in which the three bismuth atoms are interconnected by two bonds, formally possessing a 1.5 bond order each. This electronic situation defines this complex as the heaviest and stable π-allyl cation of the periodic table. Furthermore, we demonstrate that the newly synthesized complex is able to act as a synthon for the transfer of a Bi(I) cation to forge other low-valent organobismuth complexes.
The changing nature of future Arctic marine heatwaves and its potential impacts on the ecosystem
Authors: Gou Ruijian , Wolf Klara K. E. , Hoppe Clara J. M. , Wu Lixin , Lohmann Gerrit
Published: January 2025

Marine heatwaves (MHWs), defined as extreme ocean warming episodes, have strengthened over the past decades. High-resolution climate models improve understanding of MHWs under global warming, but such events in the future Arctic are currently overlooked. In a high-resolution climate model, we find Arctic MHWs intensify on orders of magnitude during the warming twenty-first century, following sea ice retreat. However, with little sea ice coverage, strong interannual variability emerges, which could surpass the amplitude of former intensification. Furthermore, the enhancement of MHWs correlates with an order of magnitude increase in the rate of change in the temperature anomaly. Additionally, MHWs are found to be accompanied by stratification enhancement, which could surpass interannual variability of future stratification. Such extreme temperature fluctuations combined with stratification enhancement suggest major challenges for Arctic ecosystems, and may negatively impact food webs through direct physiological temperature effects, as well as indirectly through nutrient supply and taxonomic shifts.
Climate change and terrigenous inputs decrease the efficiency of the future Arctic Ocean’s biological carbon pump
Authors: Oziel Laurent , Gürses Özgür , Torres-Valdés Sinhué , Hoppe Clara J. M. , Rost Björn , Karakuş Onur , Danek Christopher , Koch Boris P. , Nissen Cara , Koldunov Nikolay , Wang Qiang , Völker Christoph , Iversen Morten , Juhls Bennet , Hauck Judith
Published: January 2025

The Arctic experiences climate changes that are among the fastest in the world and affect all Earth system components. Despite expected increase in terrigenous inputs to the Arctic Ocean, their impacts on biogeochemical cycles are currently largely neglected in IPCC-like models. Here we used a state-of-the-art high-resolution ocean biogeochemistry model that includes carbon and nutrient inputs from rivers and coastal erosion to produce twenty-first-century pan-Arctic projections. Surprisingly, even with an anticipated rise in primary production across a wide range of emission scenarios, our findings indicate that climate change will lead to a counterintuitive 40% reduction in the efficiency of the Arctic’s biological carbon pump by 2100, to which terrigenous inputs contribute 10%. Terrigenous inputs will also drive intense coastal CO2 outgassing, reducing the Arctic Ocean’s carbon sink by at least 10% (33 TgC yr−1). These unexpected reinforced feedback, mostly due to accelerated remineralization rates, lower the Arctic Ocean’s capacity for sequestering carbon.
Aberrant splicing in Huntington’s disease accompanies disrupted TDP-43 activity and altered m6A RNA modification
Authors: Nguyen Thai B. , Miramontes Ricardo , Chillon-Marinas Carlos , Maimon Roy , Vazquez-Sanchez Sonia , Lau Alice L. , McClure Nicolette R. , Wu Zhuoxing , Wang Keona Q. , England Whitney E. , Singha Monika , Stocksdale Jennifer T. , Heath Marie , Jang Ki-Hong , Jung Sunhee , Ling Karen , Jafar-nejad Paymann , McKnight Jharrayne I. , Ho Leanne N. , Dalahmah Osama Al , Faull Richard L. M. , Steffan Joan S. , Reidling Jack C. , Jang Cholsoon , Lee Gina , Cleveland Don W. , Lagier-Tourenne Clotilde , Spitale Robert C. , Thompson Leslie M.
Published: January 2025

Huntington’s disease (HD) is caused by a CAG repeat expansion in the HTT gene, leading to altered gene expression. However, the mechanisms leading to disrupted RNA processing in HD remain unclear. Here we identify TDP-43 and the N6-methyladenosine (m6A) writer protein METTL3 to be upstream regulators of exon skipping in multiple HD systems. Disrupted nuclear localization of TDP-43 and cytoplasmic accumulation of phosphorylated TDP-43 occurs in HD mouse and human brains, with TDP-43 also co-localizing with HTT nuclear aggregate-like bodies distinct from mutant HTT inclusions. The binding of TDP-43 onto RNAs encoding HD-associated differentially expressed and aberrantly spliced genes is decreased. Finally, m6A RNA modification is reduced on RNAs abnormally expressed in the striatum of HD R6/2 mouse brain, including at clustered sites adjacent to TDP-43 binding sites. Our evidence supports TDP-43 loss of function coupled with altered m6A modification as a mechanism underlying alternative splicing in HD.
Prevalence and determinants of unintended pregnancy among rural reproductive age women in Ethiopia
Authors: Jejaw Melak , Demissie Kaleb Assegid , Tiruneh Misganaw Guadie , Abera Kaleab Mesfin , Tsega Yawkal , Endawkie Abel , Negash Wubshet D. , Workie Amare Mesfin , Yohannes Lamrot , Getnet Mihret , Worku Nigusu , Belay Adina Yeshambel , Asmare Lakew , Alemu Hiwot Tadesse , Geberu Demiss Mulatu , Hagos Asebe
Published: January 2025

Despite growing utilization of family planning in Ethiopia, many pregnancies in rural areas are still unintended and unintended pregnancy remains a major global challenge in public and reproductive health, with devastating impact on women and child health, and the general public. Hence, this study was aimed to determine the prevalence and associated factors of unintended pregnancy in rural women of Ethiopia. This study used a 2016 Ethiopian Demography and Health Survey data. A total weighted samples of 974 reproductive-aged rural women were included in this analysis. Multilevel mixed logistic regression analysis was employed to consider the effect of hierarchal nature of EDHS data using Stata version 14 to determine individual and community level factors. Variables significantly associated with unintended pregnancy were declared at p-value < 0.05 with adjusted odds ratio and 95% confidence interval (CI). The prevalence of unintended pregnancy in rural women was 31.66% ( 95%CI 28.8%, 34.66%). Never had media exposure (AOR: 2.67, 95%CI 1.48, 4.83), don’t have work (AOR: 0.33, 95%CI 0.21, 0.52), being from household size of one to three (AOR: 0.44 95%CI 0.2, 0.96), being primiparous (AOR: 0.41, 95%CI 0.17, 0.99), women from poor families (AOR: 2.4, 95%CI 1.24, 4.56), lacking the intention to use contraceptive (AOR: 0.24, 95%CI 0.14, 0.44) were individual-level factors significantly associated with unintended pregnancy. Women from large central region (AOR: 4.2, 95%CI 1.19, 14.62) and being from poor community wealth status (AOR: 4.3, 95%CI 1.85, 10.22) were community-level factors statistically associated with unintended pregnancy. The present study prevalence of unintended pregnancy in rural women was relatively high. Maternal occupation, household size, media exposure, parity, women wealth, intention to use contraceptive, region and community level wealth were factors statistically associated with unintended pregnancy. Hence, demographer and public health practitioners has to give great emphasis on designing an intervention with implementation strategies to increase accessibility of media for reproductive-age women’s and improve women financial capacity, and strengthen maternal health services. These strategies helps to decrease adverse birth outcomes associated with unintended pregnancy in rural areas.