bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-identified Race and Ethnicity and How this is Perceived: Associations with the Physical and Mental Health of Incarcerated Individuals
Authors: Zajdel Rachel A. , Patterson Evelyn J. , Rodriquez Erik J. , Webb Hooper Monica , Pérez-Stable Eliseo J. 
Published: October 2024

Abstract
Objectives
The singular focus on self-identified race and ethnicity in health disparities research may not fully convey the individual and structural components of experiencing race in society, or in a racialized context such as prison. Processes of racialization create boundaries between incarcerated individuals and regulate their daily interactions and access to resources, with possible effects on well-being. However, the relationship between perceived race and health has not been examined within the imprisoned population.

Design
We used data from the 2016 Survey of Prison Inmates (n = 23,010) to assess how self-identified race, perceived race, and the discordance between racial self-identification and perception were associated with the physical (number of chronic conditions) and mental health (psychological distress) of American Indian and Alaska Native, Asian, Black, Latino, White, and multiracial incarcerated individuals.

Results
Reported perception as Latino was associated with better mental and physical health relative to perception as White. Perceived Latino identity was more strongly associated with physical and mental health than a Latino self-identity. Reported perception as Black was associated with less psychological distress than perception as White, but this relationship dissipated after accounting for self-identified race. In contrast, perceived and self-identified multiracial incarcerated individuals reported worse health than their White counterparts. Having a discordant (vs. concordant) racial identity was associated with worse physical and mental health among imprisoned persons regardless of race.

Conclusion
The use of a single, unidimensional measure of race and ethnicity in health disparities research does not fully reveal racialization’s influence on health, specifically for those experiencing incarceration.
High Fe-Loading Single-Atom Catalyst Boosts ROS Production by Density Effect for Efficient Antibacterial Therapy
Authors: Chen Si , Huang Fang , Mao Lijie , Zhang Zhimin , Lin Han , Yan Qixin , Lu Xiangyu , Shi Jianlin 
Published: October 2024

AbstractThe current single-atom catalysts (SACs) for medicine still suffer from the limited active site density. Here, we develop a synthetic method capable of increasing both the metal loading and mass-specific activity of SACs by exchanging zinc with iron. The constructed iron SACs (h3-FNC) with a high metal loading of 6.27 wt% and an optimized adjacent Fe distance of ~ 4 Å exhibit excellent oxidase-like catalytic performance without significant activity decay after being stored for six months and promising antibacterial effects. Attractively, a “density effect” has been found at a high-enough metal doping amount, at which individual active sites become close enough to interact with each other and alter the electronic structure, resulting in significantly boosted intrinsic activity of single-atomic iron sites in h3-FNCs by 2.3 times compared to low- and medium-loading SACs. Consequently, the overall catalytic activity of h3-FNC is highly improved, with mass activity and metal mass-specific activity that are, respectively, 66 and 315 times higher than those of commercial Pt/C. In addition, h3-FNCs demonstrate efficiently enhanced capability in catalyzing oxygen reduction into superoxide anion (O2·−) and glutathione (GSH) depletion. Both in vitro and in vivo assays demonstrate the superior antibacterial efficacy of h3-FNCs in promoting wound healing. This work presents an intriguing activity-enhancement effect in catalysts and exhibits impressive therapeutic efficacy in combating bacterial infections.
Social Class: Te Mātaiaho | the New Zealand Curriculum Refresh’s ‘Inconvenient Truth’?
Authors: Estellés Marta , Rozas-Gómez Claudia , Morgan John , Shafer Derek 
Published: October 2024

AbstractIn this paper, we connect with Martin Thrupp’s calls for class-based analysis in education policy by problematising the absence of social class in the refreshed New Zealand curriculum, Te Mātaiaho (2023). To contextualise this absence, we locate this curriculum policy in a historical perspective and interpret its ‘identity turn’ as an expression of what philosopher Nancy Fraser calls ‘progressive neoliberalism’. We conclude our contribution with a reflection on the reactionary neoliberal response of the current National-led government and a call for educational researchers in Aotearoa New Zealand to more seriously consider social class in their analyses.
Visualizing Convergent Pressures on Arctic Development
Authors: Rivera Ana , Stephenson Scott R. , Tingstad Abbie 
Published: October 2024

Abstract
A rapidly changing Arctic has impacted biophysical and human systems while creating new economic opportunities. Spatially identifying locations with development potential in this changing environment requires characterizing convergences in critical enabling/constraining factors occurring in a particular place. However, mapping techniques based on simple overlays of spatially heterogeneous data may result in visual clutter, compromising legibility, and increasing the likelihood of interpretation errors. To overcome these limitations, we introduce Pythia, a tool that combines geographic statistical analysis with a subtractive color model to enable bi- or tri-variate data analysis. Three case studies showcase this visualization tool. Case study 1 identifies locations where temperature and population are projected to increase by 2040. Case study 2 reveals locations with a significant presence of major roads and high NO2 concentrations but few hospitals and clinics. In case study 3, a combination of transportation infrastructure, protected areas, and travel and tourism infrastructure signals challenges for the future Alaskan tourism industry. Comparing these results allows for further geographic characterization of locations, aiding policymakers in identifying areas lacking resources and infrastructure, exploring possible futures, and supporting long-term strategic planning.
4D Track Reconstruction on Free-Streaming Data with PANDA at FAIR
Authors: Taylor Jenny , Papenbrock Michael , Stockmanns Tobias , Kliemt Ralf , Johansson Tord , Akram Adeel , Schönning Karin ,   the PANDA Collaboration
Published: October 2024

AbstractA new generation of accelerator-based experiments in subatomic physics is being developed, where the challenge of separating rare signal processes from background at high intensities requires a change of trigger paradigm. At the future PANDA experiment at FAIR, hardware triggers will be abandoned and instead a purely software-based system will be used. This requires novel reconstruction methods with the ability to process data from many beam–target interactions simultaneously. A 4D tracking algorithm, based on the cellular automaton, has been developed which will utilize the timing information from detector signals. Simulation studies have been performed to test its performance on the foreseen free-streaming, i.e., continuous readout from the PANDA detector, where all processing is on the software level. For this purpose, a novel quality assurance method, tailored for tracking on free-streaming data has been developed and implemented. Benchmark studies on PANDA software show that at higher interaction rates, 4D tracking performs better than the 3D algorithm in terms of efficiency, 84$$\%$$
%
compared to 77$$\%$$
%
. In addition, the fake track suppression is greatly improved, reducing the rate of fake tracks of “ghosts” by about 50$$\%$$
%
.
A rough set-based model for predicting soil greenhouse gases response to biochar
Authors: Belmonte Beatriz A. , Flores Jesus Gabriel A. , Mestizo Cristine L. , Rafer Patricia Nicole B. , Benjamin Michael Francis D. , Aviso Kathleen B. , Tan Raymond R. 
Published: October 2024

AbstractBiochar application to soil is a potential climate change mitigation strategy. In addition to long-term sequestration of the carbon content of the biochar itself, its application may reduce the emissions of other greenhouse gases (GHGs) from the soil. However, the reported effects of biochar application on soil GHG fluxes exhibit inconsistent results. Prediction of such effects is an important gap that needs to be addressed in biochar research. In this study, rule-based machine learning models were developed based on rough-set theory. Data from the literature were used to generate the rules for predicting the effects of biochar application on soil GHG (CO2, N2O, and CH4) fluxes. Four rule-based models for CO2 fluxes, two rule-based models for N2O fluxes, and three rule-based models for CH4 fluxes were developed. The validity of these models was assessed based on both statistical measures and mechanistic plausibility. The final rule-based models can guide the prediction of changes in soil GHG fluxes due to biochar application, and thus serve as a decision-support tool to maximize the benefits of biochar application as a negative emission technology (NET). In particular, mechanistically plausible rules were identified that predict triggers for GHG fluxes that can offset carbon sequestration gains. This knowledge allows biochar application to be calibrated to local conditions for maximum efficacy.
Graphical Abstract
The importance of urine protein-to-creatinine ratio in elderly patients receiving angiogenesis inhibitors
Authors: Sonoda Akihiro , Iwashita Yoshitaka , Setoguchi Makoto , Kodama Mayo , Shibata Yukina , Hamazono Ryu , Ishida Kazuhisa , Yanagi Masayuki , Imamura Hiroshi 
Published: October 2024

Abstract
Background
Patients receiving angiogenesis inhibitor treatment require attention regarding proteinuria. Monitoring proteinuria using the urine protein-to-creatinine ratio (UPCR) is critical. However, the utility of the UPCR for administering angiogenesis inhibitors to elderly patients remains unclear.

Objectives
We retrospectively examined whether UPCR measurements are associated with improved efficacy and safety of angiogenesis inhibitors in elderly patients.

Methods
This study included patients who experienced grade 2 or higher proteinuria at least once after the administration of angiogenesis inhibitors. The UPCR values at which bevacizumab and ramucirumab could be administered were defined to be less than 3.5 and 2.0, respectively. The actual total dose/planned total dose was used as an efficacy indicator. A proteinuria rate of grade 2 or higher was used as a safety indicator.

Results
There were 14 patients in both the UPCR and qualitative test groups. The medians of the actual total dose/planned total dose (%) for the angiogenesis inhibitors in the UPCR and qualitative test groups were 96.8 (48.5–103.9) and 77.7 (9.1–93.1), respectively, with that in the UPCR group being significantly higher (p < 0.001). However, one patient in the UPCR group developed nephrotic syndrome.

Conclusions
Monitoring UPCR in elderly patients with grade 2 or higher proteinuria increases the total dosage of angiogenesis inhibitors, which may enhance their therapeutic effects. However, nephrotic syndrome was not fully confirmed in this small-scale study. Although further safety verifications are needed, our findings highlight the importance of monitoring UPCR to improve the efficacy and safety of angiogenesis inhibitors in elderly patients.
A large-scale particle system with independent jumps and distributed synchronization
Authors: Baryshnikov Yuliy , Stolyar Alexander 
Published: October 2024

Abstract
We study a system consisting of n particles, moving forward in jumps on the real line. Each particle can make both independent jumps, whose sizes have some distribution, and ‘synchronization’ jumps, which allow it to join a randomly chosen other particle if the latter happens to be ahead of it. The system state is the empirical distribution of particle locations. We consider the mean-field asymptotic regime where

$n\to\infty$

. We prove that

$v_n$

, the steady-state speed of advance of the particle system, converges, as

$n\to\infty$

, to a limit

$v_{**}$

which can easily be found from a minimum speed selection principle. Also we prove that as

$n\to\infty$

, the system dynamics converges to that of a deterministic mean-field limit (MFL). We show that the average speed of advance of any MFL is lower-bounded by

$v_{**}$

, and the speed of a ‘benchmark’ MFL, resulting from all particles initially being co-located, is equal to

$v_{**}$

. In the special case of exponentially distributed independent jump sizes, we prove that a traveling-wave MFL with speed v exists if and only if

$v\ge v_{**}$

, with

$v_{**}$

having a simple explicit form; we also show the existence of traveling waves for the modified systems with a left or right boundary moving at a constant speed v. We provide bounds on an MFL’s average speed of advance, depending on the right tail exponent of its initial state. We conjecture that these results for exponential jump sizes extend to general jump sizes.
A study of one-factor copula models from a tail dependence perspective
Authors: Shyamalkumar Nariankadu , Tao Siyang 
Published: October 2024

AbstractModeling multivariate dependence in high dimensions is challenging, with popular solutions constructing multivariate copula as a composition of lower dimensional copulas. Pair-copula constructions do so by using bivariate linking copulas, but their parametrization, in size, being quadratic in the dimension, is not quite parsimonious. Besides, the number of regular vines grows super-exponentially with the dimension. One parsimonious solution is factor copulas, and in particular, the one-factor copula is touted for its simplicity – with the number of parameters linear in the dimension – while being able to cater to asymmetric non-linear dependence in the tails. In this paper, we add nuance to this claim from the point of view of a popular measure of multivariate tail dependence, the tail dependence matrix (TDM). We focus on the one-factor copula model with the linking copula belonging to the BB1 family, pointing out later the applicability of our results to a wider class of linking copulas. For this model, we derive tail dependence coefficients and study their basic properties as functions of the parameters of the linking copulas. Based on this, we study the representativeness of the class of TDMs supported by this model with respect to the class of all possible TDMs. We establish that since the parametrization is linear in the dimension, it is no surprise that the relative volume is zero for dimensions greater than three, and hence, by necessity, we present a novel manner of evaluating the representativeness that has a combinatorial flavor. We formulate the problem of finding the best representative one-factor BB1 model given a target TDM and suggest an implementation along with a simulation study of its performance across dimensions. Finally, we illustrate the results of the paper by modeling rainfall data, which is relevant in the context of weather-related insurance.
Risk of SARS-CoV-2 infection in hospitalized patients following SARS-CoV-2 exposures before and during hospitalization
Authors: Ehrenzeller Selina , Agan Anna , Rhee Chanu , Klompas Michael 
Published: October 2024

AbstractLittle is known regarding SARS-CoV-2 infection risk following SARS-CoV-2 exposures in hospitalized patients. Amongst 11,997 patients in 14 hospitals exposed 2020–2023, 6.5% tested positive (median 3d after exposure). Positivity rates were 6.7% vs 5.8% for Omicron vs pre-Omicron exposures (P = 0.07) and 7.6% vs 4.6% for exposures before vs after admission (P < 0.001).
Reparation for non-recent institutional child sexual abuse in England and Wales and Australia: a matter for private law or the state?
Authors: Giliker Paula 
Published: October 2024

AbstractThis paper examines the question of reparation for non-recent institutional child sexual abuse in England and Wales and Australia in the light of independent inquiries which reported in 2022 (England and Wales) and 2017 (Australia). Both inquiries recommended the introduction of state-based redress schemes that would exist alongside private law. While the new UK government considers how to proceed, Australia has established a national redress scheme, there have been changes to private law and new legislation reforming tort law and removing procedural obstacles such as limitation. In evaluating the Australian reforms and the case for change in English law, this paper examines the different roles state-based redress and private law compensation play in responding to the harm suffered by victims and survivors of sexual abuse. It argues that there are urgent lessons that the UK government should learn from the Australian experience in establishing a redress scheme and that while legislative change to substantive private law has proven less than successfull in Australia, legislation on limitation periods and suing unincorporated associations has assisted plaintiffs. Finally there are lessons that private law can learn from state-based redress schemes in seeking to provide remedies that meet the distinctive needs of victims and survivors of child sexual abuse.
Chronological considerations for the use of the Late Roman–Migration period Cemetery at Plinkaigalis, Lithuania
Authors: Orozco Alexandria R , Kurila Laurynas , Micelicaitė Viktorija , Jankauskas Rimantas , Branting Scott , Gutautas Simonas , Robkin Jessica R , Whalen Annalise , Atabas Atakan 
Published: October 2024

AbstractThis study presents new (n=32) and previously published (n=35) human bone 14C AMS dates from 54 individuals interred in 50 burials in the Plinkaigalis cemetery (3rd–7th century AD, Lithuania). The aim of this study is to establish duration of use and identify temporal subgroups within the cemetery. Individuals in group burials were assessed for temporal agreement across individuals and the dates for individuals with multiple dates were combined using OxCal. The Sum command, Interval command, and two Bayesian models (overlapping and abutting periods of use) were used to approximate the use of the site over time and evaluate the chronology of dated burials. An IDW (inverse distance weighted) model was employed to visualize median radiocarbon dates across the cemetery for comparison to earlier IDW interpolations of time at Plinkaigalis. While the two models cannot be distinguished at this time, it can be determined that the site was likely in continuous use from 200–600 cal AD (Sum), 230–560 cal AD (Model 1), 220–550 cal AD (Model 2), or cal 283–508 AD (IDW). The area of the cemetery associated with earliest use shifted east when the IDW model was compared to original data. There was also poor agreement in some group burials and burials with multiple dates. The models generally agree on assignment of burials to phases, but disparate phase assignment was noted across the IDW and Bayesian models. Temporal subgroups cannot be confidently reclassified beyond early/later periods of use based on these models without additional sampling and refinement of the IDW modeling method.
Cicchetti’s organizational-developmental perspective of Down syndrome: Contributions to the emergence of developmental psychopathology and the study of persons with neurodevelopmental conditions
Authors: Burack Jacob A. , Russo Natalie , Evans David W. , Boatswain-Jacques Anna-Francesca , Rey Gabriela , Iarocci Grace , Hodapp Robert M. 
Published: October 2024

AbstractDante Cicchetti’s earliest work, his studies of social-emotional development in infants and children with Down syndrome, set the stage for the emergence of the larger field of developmental psychopathology. By applying basic developmental principles, methodologies, and questions to the study of persons with Down syndrome, Dante took on the challenge of searching for patterns in atypical development. In doing so, he extended traditional developmental theory and introduced a more “liberal” approach that both continues to guide developmentally based research with persons with neurodevelopmental conditions (NDCs), including Down syndrome. We highlight five themes from Dante’s work: (1) appreciating the importance of developmental level; (2) prioritizing the organization of development; (3) examining whether developmental factors work similarly in those with known genetic conditions; (4) rethinking narratives about ways of being; and (5) examining the influence of multiple levels of the environment on the individual’s functioning. We highlight ways that these essential lessons anticipated present-day research with persons with a variety of NDCs, including Down syndrome, other genetic syndromes associated with intellectual disability, and autism. We conclude with visions to the future for research with these populations as well as for the field of developmental psychopathology more generally.
Intergenerational transmission of comorbid internalizing and externalizing psychopathology at age 11: Evidence from an adoption design for general transmission of comorbidity rather than homotypic transmission
Authors: Marceau Kristine , Lee Sohee , Datta Muskan , Robertson Olivia C. , Shaw Daniel S. , Natsuaki Misaki N. , Leve Leslie D. , Ganiban Jody M. , Neiderhiser Jenae M. 
Published: October 2024

Abstract
Psychopathology is intergenerationally transmitted through both genetic and environmental mechanisms via heterotypic (cross-domain), homotypic (domain-specific), and general (e.g., “p-factor”) pathways. The current study leveraged an adopted-at-birth design, the Early Growth and Development Study (57% male; 55.6% White, 19.3% Multiracial, 13% Black/African American, 10.9% Hispanic/Latine) to explore the relative influence of these pathways via associations between adoptive caregiver psychopathology (indexing potential environmental transmission) and birth parent psychopathology (indexing genetic transmission) with adolescent internalizing and externalizing symptoms. We included composite measures of adoptive and birth parent internalizing, externalizing, and substance use domains, and a general “p-factor.” Age 11 adolescent internalizing and externalizing symptom scores were the average of adoptive parent reports on the Child Behavior Checklist (n = 407). Examining domains independently without addressing comorbidity can lead to incorrect interpretations of transmission mode. Therefore, we also examined symptom severity (like the “p-factor”) and an orthogonal symptom directionality score to more cleanly disentangle transmission modes. The pattern of correlations was consistent with mostly general transmission in families with youth showing comorbid internalizing and externalizing symptoms, rather than homotypic transmission. Findings more strongly supported potential environmental or evocative mechanisms of intergenerational transmission than genetic transmission mechanisms (though see limitations). Parent-specific effects are discussed.