bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract

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

AbstractWe 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

AbstractThis 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

Abstract

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

Abstract
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

Abstract
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

AbstractDespite 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

AbstractEncountering 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.