bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term behavioral symptom clusters among survivors of early-stage breast cancer: Development and validation of a predictive model
Authors: Pagliuca Martina , Havas Julie , Thomas Emilie , Drouet Youenn , Soldato Davide , Franzoi Maria Alice , Ribeiro Joana , Chiodi Camila K , Gillanders Emma , Pistilli Barbara , Menvielle Gwenn , Joly Florence , Lerebours Florence , Rigal Olivier , Petit Thierry , Giacchetti Sylvie , Dalenc Florence , Wassermann Johanna , Arsene Olivier , Martin Anne Laure , Everhard Sibille , Tredan Olivier , Boyault Sandrine , De Laurentiis Michelino , Viari Alain , Deleuze Jean Francois , Bertaut Aurelie , André Fabrice , Vaz-Luis Ines , Di Meglio Antonio 
Published: September 2024

Abstract

Background
Fatigue, cognitive impairment, anxiety, depression, and sleep disturbance are cancer-related behavioral symptoms that may persist years after early-stage breast cancer, affecting quality of life. We aimed to generate a predictive model of long-term cancer-related behavioral symptoms clusters among breast cancer survivors 4 years after diagnosis.

Methods
Patients with early-stage breast cancer were included from the CANcer TOxicity trial (ClinicalTrials.gov identifier NCT01993498). Our outcome was the proportion of patients reporting cancer-related behavioral symptoms clusters 4 years after diagnosis (≥3 severe symptoms). Predictors, including clinical, behavioral, and treatment-related characteristics; Behavioral Symptoms Score (BSS; 1 point per severe cancer-related behavioral symptom at diagnosis); and a proinflammatory cytokine (interleukin 1b; interleukin 6; tumor necrosis factor α) genetic risk score were tested using multivariable logistic regression, implementing bootstrapped augmented backwards elimination. A 2-sided P less than .05 defined statistical significance.

Results
In the development cohort (n = 3555), 642 patients (19.1%) reported a cluster of cancer-related behavioral symptoms at diagnosis, and 755 (21.2%) did so 4 years after diagnosis. Younger age (adjusted odds ratio for 1-year decrement = 1.012, 95% confidence interval [CI] = 1.003 to 1.020), previous psychiatric disorders (adjusted odds ratio vs no = 1.27, 95% CI = 1.01 to 1.60), and BSS (adjusted odds ratio ranged from 2.17 [95% CI = 1.66 to 2.85] for BSS = 1 vs 0 to 12.3 [95% CI = 7.33 to 20.87] for BSS = 5 vs 0) were predictors of reporting a cluster of cancer-related behavioral symptoms (area under the curve = 0.73, 95% CI = 0.71 to 0.75). Genetic risk score was not predictive of these symptoms. Results were confirmed in the validation cohort (n = 1533).

Conclusion
Younger patients with previous psychiatric disorders and higher baseline symptom burden have greater risk of long-term clusters of cancer-related behavioral symptoms. Our model might be implemented in clinical pathways to improve management and test the effectiveness of risk-mitigation interventions among breast cancer survivors.
Analysis of human errors in the operation of various treatment planning systems over a 10-year period
Authors: Iijima Kotaro , Nakayama Hiroki , Nakamura Satoshi , Chiba Takahito , Shuto Yasunori , Urago Yuka , Nishina Shuka , Kishida Hironori , Kobayashi Yuta , Takatsu Jun , Kuwahara Junichi , Aikawa Ako , Goka Tomonori , Kaneda Tomoya , Murakami Naoya , Igaki Hiroshi , Okamoto Hiroyuki 
Published: September 2024

Abstract
The present study aimed to summarize and report data on errors related to treatment planning, which were collected by medical physicists. The following analyses were performed based on the 10-year error report data: (1) listing of high-risk errors that occurred and (2) the relationship between the number of treatments and error rates, (3) usefulness of the Automated Plan Checking System (APCS) with the Eclipse Scripting Application Programming Interface and (4) the relationship between human factors and error rates. Differences in error rates were observed before and after the use of APCS. APCS reduced the error rate by ~1% for high-risk errors and 3% for low-risk errors. The number of treatments was negatively correlated with error rates. Therefore, we examined the relationship between the workload of medical physicists and error occurrence and revealed that a very large workload may contribute to overlooking errors. Meanwhile, an increase in the number of medical physicists may lead to the detection of more errors. The number of errors was correlated with the number of physicians with less clinical experience; the error rates were higher when there were more physicians with less experience. This is likely due to the lack of training among clinically inexperienced physicians. An environment to provide adequate training is important, as inexperience in clinical practice can easily and directly lead to the occurrence of errors. In any environment, the need for additional plan checkers is an essential factor for eliminating errors.
Through Violence to Eternal Kingdom: Revolutionary Avengers, Suburban Violence, and the Crisis of Imperial Governance in post-1905 Russian Poland
Authors: Porayski-Pomsta Antoni 
Published: September 2024

Abstract
This article studies the case of a notorious criminal group, the Revolutionary Avengers (Rewolucjoniści Mściciele), to explore the “theatre of violence” in fin-de-siècle Russian Poland. First, it considers the reactions to the group’s activities and how they exposed the absence of state monopoly on violence, as well as the imperial bureaucracy’s slipping control over the means of communication following the October Manifesto and the abolition of censorship. Second, the group’s story is analyzed as representative of the post-revolutionary emergence of large numbers of men accustomed to, fluent in, and profoundly changed by violence, yet excluded from party structures. The article argues that the small-scale, anti-elite and anti-governmental violence perpetrated by the Avengers was a form of self-assertion, an attempt to live with dignity after the revolutionary promise had failed. Third, the article spatializes the Avengers’ activities within the industrial suburbs of Russian Poland. Although the urban outskirts were not the only places where the group operated, they were fundamental to their actions: it is where many Avengers came from, where they hid and recruited, as well as where their communities were based. Using Walter Benjamin’s theory of violence, the article suggests that many of the Avengers’ acts were “lawmaking” in nature, effectively delineating suburban “spaces of the poor.”
Impact of extragalactic point sources on the low-frequency sky spectrum and cosmic dawn global 21-cm measurements
Authors: Mittal Shikhar , Kulkarni Girish , Anstey Dominic , de Lera Acedo Eloy 
Published: September 2024

ABSTRACT
The contribution of resolved and unresolved extragalactic point sources to the low-frequency sky spectrum is a potentially non-negligible part of the astrophysical foregrounds for cosmic dawn 21-cm experiments. The clustering of such point sources on the sky, combined with the frequency dependence of the antenna beam, can also make this contribution chromatic. By combining low-frequency measurements of the luminosity function and the angular correlation function of extragalactic point sources, we develop a model for the contribution of these sources to the low-frequency sky spectrum. Using this model, we find that the contribution of sources with flux density ${\gt} 10^{-6}$ Jy to the sky-averaged spectrum is smooth and of the order of a few kelvins at 50–200 MHz. We combine this model with measurements of the galactic foreground spectrum and weigh the resultant sky by the beam directivity of the conical log-spiral antenna planned as part of the Radio Experiment for the Analysis of Cosmic Hydrogen (REACH) project. We find that the contribution of point sources to the resultant spectrum is ${\sim}\, 0.4 {{\, \rm per\, cent}}$ of the total foregrounds, but still larger by at least an order of magnitude than the standard predictions for the cosmological 21-cm signal. As a result, not accounting for the point-source contribution leads to a systematic bias in 21-cm signal recovery. We show, however, that in the REACH case, this reconstruction bias can be removed by modelling the point-source contribution as a power law with a running spectral index. We make our code publicly available as a python package labelled epspy.
Probing general relativistic spin–orbit coupling with gravitational waves from hierarchical triple systems
Authors: Oancea Marius A , Stiskalek Richard , Zumalacárregui Miguel 
Published: September 2024

ABSTRACT
Wave packets propagating in inhomogeneous media experience a coupling between internal and external degrees of freedom and, as a consequence, follow spin-dependent trajectories. These phenomena, well known in optics and condensed matter physics, are referred to as spin Hall effects. Similarly, the gravitational spin Hall effect is expected to affect the propagation of gravitational waves on curved spacetimes. In this general-relativistic setup, the curvature of spacetime acts as impurities in a semiconductor or inhomogeneities in an optical medium, leading to a frequency- and polarization-dependent propagation of wave packets. In this letter, we study this effect for strong-field lensed gravitational waves generated in hierarchical triple black hole systems in which a stellar-mass binary merges near a more massive black hole. We calculate how the gravitational spin Hall effect modifies the gravitational waveforms and show its potential for experimental observation. If detected, these effects will have profound implications for astrophysics and tests of general relativity.
Evolution of the Correlated Genomic Variation Landscape Across a Divergence Continuum in the Genus Castanopsis
Authors: Chen Xue-Yan , Zhou Biao-Feng , Shi Yong , Liu Hui , Liang Yi-Ye , Ingvarsson Pär K , Wang Baosheng 
Published: September 2024

Abstract
The heterogeneous landscape of genomic variation has been well documented in population genomic studies. However, disentangling the intricate interplay of evolutionary forces influencing the genetic variation landscape over time remains challenging. In this study, we assembled a chromosome-level genome for Castanopsis eyrei and sequenced the whole genomes of 276 individuals from 12 Castanopsis species, spanning a broad divergence continuum. We found highly correlated genomic variation landscapes across these species. Furthermore, variations in genetic diversity and differentiation along the genome were strongly associated with recombination rates and gene density. These results suggest that long-term linked selection and conserved genomic features have contributed to the formation of a common genomic variation landscape. By examining how correlations between population summary statistics change throughout the species divergence continuum, we determined that background selection alone does not fully explain the observed patterns of genomic variation; the effects of recurrent selective sweeps must be considered. We further revealed that extensive gene flow has significantly influenced patterns of genomic variation in Castanopsis species. The estimated admixture proportion correlated positively with recombination rate and negatively with gene density, supporting a scenario of selection against gene flow. Additionally, putative introgression regions exhibited strong signals of positive selection, an enrichment of functional genes, and reduced genetic burdens, indicating that adaptive introgression has played a role in shaping the genomes of hybridizing species. This study provides insights into how different evolutionary forces have interacted in driving the evolution of the genomic variation landscape.
Cognitive phenotypes: Unraveling the heterogeneity in cognitive dysfunction among patients with primary brain tumors receiving radiotherapy
Authors: Reyes Anny , Stasenko Alena , Hopper Austin , Kohli Jiwandeep S , Helm Jonathan L , Salans Mia , Prabhakaran Divya , Kamalyan Lily , Wilkinson Molly , Unnikrishnan Soumya , Karunamuni Roshan , Hattangadi-Gluth Jona , McDonald Carrie R 
Published: September 2024

Abstract

Background
Patients with primary brain tumors demonstrate heterogeneous patterns of cognitive dysfunction, which we explore using latent profile analysis to identify cognitive phenotypes and their trajectories in patients receiving radiotherapy (RT).

Methods
Ninety-six patients completed neuropsychological testing before and post-RT (3, 6, and 12 months) on a prospective longitudinal trial, including measures of processing speed, executive function, language, and verbal and visual memory. Models with 2–4 classes were examined. Demographic and clinical data were examined across phenotypes and post-RT cognitive change was evaluated.

Results
The optimal model identified 3 unique cognitive phenotypes including a group of patients with generalized impairments (11.5%), a group with isolated verbal memory impairments (21.9%), and a group with minimal impairments (66.7%). The Verbal Memory phenotype had fewer years of education (P = .007) and a greater proportion of males (P &lt; .001); the Generalized group had a greater proportion of patients with IDH-wild type gliomas and showed greater symptoms of anxiety and poorer quality of life (P-values &lt; .05); and the Minimal Impairment phenotype had higher rates of IDH-Mutant gliomas. Approximately 50% of patients declined on at least one cognitive domain with memory being the most vulnerable. Patients who declined reported greater symptoms of depression (P = .007) and poorer quality of life (P = .025).

Conclusions
We identified 3 distinct cognitive phenotypes in patients with primary brain tumors receiving RT, each associated with unique demographic and clinical (eg, IDH mutational status) profiles, with mood symptoms associated with late cognitive decline. This patient-centered approach enhances our understanding of clinical profiles associated with cognitive dysfunction and treatment-related neurotoxicity.
Roll-Your-Own Tobacco Use Among People Smoking Menthol Cigarettes in Great Britain, 2020-2023: A Population-Based Survey
Authors: Buss Vera H , Brown Jamie , Tattan-Birch Harry , Jackson Sarah E , Shahab Lion 
Published: September 2024

Abstract

Introduction
The sale of factory-made cigarettes with menthol as a characterizing flavor has been prohibited in Great Britain since May 2020. However, menthol accessories like flavored filters for roll-your-own (RYO) tobacco can be sold legally, possibly undermining the policy. This study aimed to explore the association between RYO and menthol cigarette smoking.

Aims and Methods
Data were collected between October 2020 and October 2023 from a monthly population-based cross-sectional survey, with 82 120 adults (≥18) living in Great Britain providing complete data. Logistic regression models assessed the association between predominant RYO tobacco use and menthol cigarette smoking, and whether it differed by sociodemographic characteristics, unadjusted and adjusted for age, gender, ethnicity, nation, and socioeconomic position. Time trends in RYO tobacco use among people smoking menthol cigarettes were modeled over the study period.

Results
There has been no clear decrease in menthol cigarette smoking prevalence among people who smoke (~14%) following the ban. Predominant RYO use increased among people smoking menthol cigarettes from 49.6% (95% CI: 42.2 to 57.0) in October 2020 to 61.9% (95% CI: 57.5 to 66.0) in June 2022, after which it remained stable. Predominant RYO use was more common among people smoking menthol than non-flavored cigarettes overall (adjusted odds ratio (ORadj) = 1.30, 95% CI: 1.14 to 1.49) and across demographic subgroups. This association was most pronounced in middle-aged compared with older people (35 vs. 65 years ORadj = 1.18, 95%CI: 1.01 to 1.35), and in ethnic minorities compared with White people (ORadj = 1.56, 95% CI: 1.03 to 2.36).

Conclusions
There was a substantial increase in RYO use among people smoking menthol cigarettes in the first two years after the ban, from approximately 50% to 60%.

Implications
The availability of menthol accessories may have undermined the ban on factory-made mentholated cigarettes in Great Britain. Roughly one in seven people who smoke cigarettes still report smoking menthol cigarettes and among these, about two-thirds predominantly use RYO tobacco. Since there has been no noteworthy change in the prevalence of menthol cigarette smoking since October 2020, new measures will likely be necessary to achieve a further reduction. For example, menthol accessories could be banned or their advertising and availability heavily restricted.
Characterization of driver mutations identifies gene signatures predictive of prognosis and treatment sensitivity in multiple myeloma
Authors: Li Jian-Rong , Parthasarathy Abinand Krishna , Kannappan Aravind Singaram , Arsang-Jang Shahram , Dong Jing , Cheng Chao 
Published: September 2024

Abstract
In multiple myeloma (MM), while frequent mutations in driver genes are crucial for disease progression, they traditionally offer limited insights into patient prognosis. This study aims to enhance prognostic understanding in MM by analyzing pathway dysregulations in key cancer driver genes, thereby identifying actionable gene signatures. We conducted a detailed quantification of mutations and pathway dysregulations in 10 frequently mutated cancer driver genes in MM to characterize their comprehensive mutational impacts on the whole transcriptome. This was followed by a systematic survival analysis to identify significant gene signatures with enhanced prognostic value. Our systematic analysis highlighted 2 significant signatures, TP53 and LRP1B, which notably outperformed mere mutation status in prognostic predictions. These gene signatures remained prognostically valuable even when accounting for clinical factors, including cytogenetic abnormalities, the International Staging System (ISS), and its revised version (R-ISS). The LRP1B signature effectively distinguished high-risk patients within low/intermediate-risk categories and correlated with significant changes in the tumor immune microenvironment. Additionally, the LRP1B signature showed a strong association with proteasome inhibitor pathways, notably predicting patient responses to bortezomib and the progression from monoclonal gammopathy of unknown significance to MM. Through a rigorous analysis, this study underscores the potential of specific gene signatures in revolutionizing the prognostic landscape of MM, providing novel clinical insights that could influence future translational oncology research.
Spring migration strategies of Anas platyrhynchos (Mallard) necessitate individual time-energy trade-offs despite wintering origins or migratory destinations
Authors: Masto Nicholas M , Blake-Bradshaw Abigail G , Highway Cory J , Keever Allison C , Feddersen Jamie C , Link Paul T , Hagy Heath M , Osborne Douglas C , Cohen Bradley S 
Published: September 2024

ABSTRACT
Spring migration is hypothesized to be time-constrained because of competition for optimal nesting and brood-rearing sites. Therefore, individuals are predicted to minimize migration time to breeding destinations; however, migration strategies likely lie on a continuum based on wintering and stopover habitat quality, environmental conditions, or individual-level factors. In other words, individuals and wintering subpopulations may differentially prioritize time-energy trade-offs during migration depending on where they are from, when they leave, and where they are going. We tested these hypotheses by characterizing spatial and temporal variation in spring migration strategies in female Anas platyrhynchos (Mallards), using global positioning system (GPS) data from ~150 individuals captured across the Mississippi Alluvial Valley and Gulf Coast Chenier Plain, USA. We used principal components analysis to classify a series of migratory behaviors into distinct time- and energy-minimization migration strategies, and tested whether migration strategies were related to wintering origins (habitat quality or latitudinal differences influencing migration initiation), migratory destinations (resource predictability), and individual-level factors (age and body condition). Additionally, we estimated individual and wintering subpopulation space-use to identify geographic regions of high and overlapping use that may facilitate time- or energy-minimizing migration strategies. Our results indicated a gradient of time-minimization migration strategies but migration strategy was not influenced by wintering origins nor migratory destination. Instead, time-energy trade-offs manifested at the individual level with time-minimization depending on experience and body condition. We also revealed stopovers and migration corridors of continental importance for spring-migrating A. platyrhynchos and space-use therein suggested migration strategies varied spatially with increasing time-minimization behavior as A. platyrhynchos neared their breeding grounds. Future research should link migration strategies and settling patterns to demographic rates.
What Moves Public Support for Aid to Ukraine? Issue Attention, Partisanship, and Normative Appeals
Authors: Frye Timothy 
Published: September 2024

Abstract
Since 2022, the United States has provided more aid to Ukraine than to any other country, but this policy has become increasingly contentious. Identifying the nature of public support for this aid is critical for public policy, but it also raises central issues for scholars studying foreign policy preferences. I conducted a preregistered survey experiment that varies partisan cues and the content of appeals to support aid to Ukraine. I find that these appeals are strongly conditioned by partisanship and attention to the issue. Among Democrats, normative appeals increase support. Among Republicans, and to a lesser extent, independents, a partisan appeal by Donald Trump reduces support. However, these findings only hold among respondents not following the issue closely. On this high-profile issue in a polarized setting, other appeals largely fail to move attitudes. These results point to a paradox. Those respondents most likely to be moved by appeals for or against aid to Ukraine are also those paying the least attention to the issue, which suggests it will be difficult to move public attitudes on support for aid to Ukraine.
The Causes of Ukrainian Famine Mortality, 1932–33
Authors: Markevich Andrei , Naumenko Natalya , Qian Nancy 
Published: September 2024

Abstract
We construct a novel panel dataset for interwar Soviet Union to study the causes of Ukrainian famine mortality (Holodomor) during 1932–3 and document several facts: (1) Ukraine produced enough food in 1932 to avoid famine in Ukraine; (2) 1933 mortality in the Soviet Union was increasing in the pre-famine ethnic Ukrainian population share and (3) was unrelated to food productivity across regions; (4) this pattern exists even outside of Ukraine; (5) migration restrictions exacerbated mortality; (6) actual and planned grain procurement were increasing and actual and planned grain retention (production minus procurement) were decreasing in the ethnic Ukrainian population share across regions. The results imply that anti-Ukrainian bias in Soviet policy contributed to high Ukrainian famine mortality, and that this bias systematically targeted ethnic Ukrainians across the Soviet Union.
The Technical Default Spread
Authors: Bisetti Emilio , Li Kai , Yu Jun 
Published: September 2024

Abstract
We study the quantitative impact of lender control rights on corporate investment, asset prices, and the aggregate economy. We build a general equilibrium model in which the breaching of a loan covenant (technical default) entails a switch in investment control rights from borrowers to lenders. Lenders optimally choose low-risk projects, thus mitigating borrowers’ risk-taking incentives and lowering the cost of equity. This mechanism generates strong macroeconomic effects and mitigates the financial accelerator. Consistent with our model, proximity to technical default in the data is associated with 4.12% lower returns and lower exposure to systematic risk.