bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fishing Nets, River Banks and All the Things that Brought Me Here
Authors: Mann Melinda 
Published: December 2024

AbstractDr Melinda Mann’s reflective chapter begins where all learning begins, in childhood. Dr Mann’s rich analogy, illustrating Indigenous ways of being, knowing and doing draws on a story of fishing. The story deftly incorporates ways of learning about place and identity, and foundations for theorising about cognition, along with lessons about patience, useful in later life for withstanding the rigors of academic life. Her chapter identifies with pinpoint accuracy the time in primary school when racism began to challenge, though not deter, her learning, imagination and aspirations. The critical importance of mentors, Indigenous centres in universities, as well as friends and family are clearly demonstrated. This chapter is a narrative of resilience, resistance and a ponderance of the question of regret, offset by the unexpected joy of witnessing the strategic use of the title doctor by community members, undoubtedly proud of their member.
Future Directions: Where the End is Actually the Beginning
Authors: Locke Michelle 
Published: December 2024

Abstract
Dr. Michelle Locke concludes the book with a discussion of the possibilities for the future. Echoing the call for action from the first chapter and resonating with the multiple voices of the Indigenous ECRs, Dr. Locke asks readers, particularly those non-Indigenous readers with authority and opportunity in universities, to heed the invitation to take responsibility and join with Indigenous colleagues to make universities places where Indigenous ECRs can realistically build on the strength and success that guided them through doctoral programs to curate fulfilling careers that contribute to Indigenous community and national success.
Fate or Accident? A Story of Being in the Right Place, at the Right Time
Authors: Mosby Vinnitta 
Published: December 2024

AbstractDr. Vinnitta Mosby outlines a compelling story of how success can occur when critical elements are aligned. Dr. Mosby’s doctoral success led to an unanticipated role as an early career academic working in the university where her doctorate was completed. Concerns about climate change and its effects on Torres Strait Islander peoples was the driving force behind her doctoral work, rather than the desire to become an academic. Doctoral success came from hard work plus a combination of excellent honours results, a strong supervision team, who worked well together and an unexpected encounter with a visiting international Indigenous scholar who bolstered both confidence and knowledge. Dr. Mosby also reminds us of the value of the financial freedom a scholarship enables and how nurturing family support can be on such a long academic journey.
The Everyday of Risk and Vulnerability: Being an Indigenous Early Career Researcher
Authors: Backhaus Vincent 
Published: December 2024

Abstract
Dr Vincent Backhaus argues persuasively and eloquently that being an Indigenous ECR has a particularity not shared with all ECRs, given that Indigenous teaching and research are so intimately intertwined with who we are as Indigenous people and the histories and contemporary experiences of our peoples. Dr Backhaus reminds us that Indigenous ECRs act with agency and are often pioneers in their fields, forging fresh pathways into the academy, accompanied by uncertainty and the risk of constantly making mistakes. Also considered are issues of identity, not just Indigeneity but developing emerging professional identities, as well. Dr Backhaus recognises the privilege but also the significant responsibility of being an Indigenous ECR, benefitting from opportunities unknown to our forebears.
Yuwa Indigenous Early Career Researcher
Authors: Akbar Skye 
Published: December 2024

AbstractDr Skye Akbar provides wise advice for new Indigenous ECRs in the hope that her hard-won experience will help others to navigate a system in which there are inherent challenges of being the first or only Indigenous academic at a time when Indigenous expertise is in significant demand, with too few people to fill institutional requirements. Dr. Akbar explores some of the common pitfalls for Indigenous ECRs who find themselves in foreign institutional environments where the demands for their expertise are not always in the Indigenous ECRs’ best interest for career development or meeting community needs. Learning to distinguish which opportunities will be fruitful and which will simply take you away from your own priorities, is critical, but doesn’t necessarily come with a handbook. Dr. Akbar encourages readers to choose what will advance your career and your community.
Four-Fermion Interaction Approximation of the Intermediate Vector Boson Model
Authors: Tsutsumi Yoshio 
Published: December 2024

AbstractIn the present paper, we show that when the mass of the Proca field is large enough, the Dirac-Proca equations are approximated by the cubic Dirac equation. This justifies the four-fermion interaction approximation of the intermediate vector boson model in a mathematically rigorous sense. The proof is based on the Strichartz estimate of the Proca sector with mass parameter.
Apo10 and TKTL1 in blood macrophages as potential biomarkers for early diagnosis of operable breast cancer
Authors: Wu Minqing , Huang Qiyu , Zhang Lijuan , Liu Yuying , Zeng Musheng , Xie Chuanbo 
Published: December 2024

Abstract
Objective
Blood macrophage Apo10 and TKTL1 detection is a novel, noninvasive cancer screening approach, but its relevance in breast cancer remains uncertain. We compared the potential diagnostic value of Apo10 and TKTL1 with commonly used tumor markers in differentiating breast cancer patients.

Methods
Physical examination and blood sample data from breast cancer patients who did not receive surgery or chemotherapy (retrospective; breast cancer group) and those with benign breast nodules and completely healthy subjects (prospective; control group) were collected from October 2020 to July 2022 at Sun Yat-sen University. Descriptive statistics and receiver operating characteristic (ROC) curves were generated. The area under the ROC curve (AUROC) was calculated to compare the diagnostic efficiency of Apo10 and TKTL1 with conventional biomarkers (carcinoembryonic antigen [CEA], cancer antigens [CA-125, CA-199, CA-153]) in differentiating breast cancer from healthy breasts and benign breast nodules.

Results
From October 2020 to July 2022, 153 breast cancer patients (primarily early-stage disease: n = 113 (73.9%) stage I/II) and 153 control participants (benign breast nodules, n = 56; healthy, n = 97) were included in this study. The breast cancer subtypes were mainly invasive ductal carcinoma (92.8%), with a few cases of DCIS (5.9%), infiltrating lobular carcinoma (0.7%), and mucinous carcinoma (0.7%). Notably, Apo10, TKTL1, and Apo10 + TKTL1 (APT) levels were significantly greater in the cancer group than in the control group (P < 0.001), demonstrating high diagnostic value (AUC = 0.901, 0.871, 0.938) that surpassed CA-125, CA-199, CA-153, and CEA. In a subgroup analysis excluding stage III patients, APT-based breast cancer screening was minimally affected, with the AUROC (0.933–0.938) varying by ≤ 1%.

Conclusion
Compared with conventional biomarkers, Apo10, TKTL1, and APT showed superior early-stage breast cancer screening efficacy, potentially emerging as a promising marker for discriminating breast cancer from healthy breasts and nontumoral lesions.
Pre-interventional renal artery calcification and survival after transcatheter aortic valve implantation
Authors: Winkler N. E. , Galantay J. , Hebeisen M. , Donati T. G. , Stehli J. , Kasel A. M. , Alkadhi H. , Nguyen-Kim T. D. L. , Tanner F. C. 
Published: December 2024

Abstract
The prognostic significance of renal artery calcification (RAC) is unknown in patients with severe aortic stenosis (AS) eligible for transcatheter aortic valve implantation (TAVI). RAC can be assessed by computed tomography (CT) performed during pre-interventional planning for TAVI. This study aimed at investigating the utility of RAC for predicting survival after TAVI. In this longitudinal cohort study, RAC volume was measured by CT in 268 consecutive patients with severe AS undergoing TAVI. Association of RAC with mortality was assessed using Cox regression analysis. RAC was evaluated as a binary parameter and in a supplementary analysis as a logarithmically transformed continuous variable. Over a median follow-up time of 9.6 years, 237 (88.4%) patients died, with 174 (73.4%) deaths attributable to a cardiovascular cause. RAC was highly prevalent (N = 150 (86.2%)) among patients suffering cardiovascular death. Competing risk cumulative incidence curves revealed a higher occurrence of cardiovascular death in patients with RAC (P-value = 0.008), while this was not the case for non-cardiovascular death (P-value = 0.71). RAC was independently associated with cardiovascular death (HR 1.61 [95% CI: 1.01–2.57]; P = 0.047) after adjustment for age, sex, cardiovascular risk factors, impaired renal function, and aortic valve calcification. The presence or absence of RAC rather than its volume was important in all the analyses. RAC is a strong and independent predictor of cardiovascular death in patients with severe AS undergoing TAVI. Given its favourable properties for event prediction, RAC may be considered valuable for prognostic assessment of TAVI patients.

Graphical Abstract
Rapidly developing NLP applications for content curation
Authors: Moreno-Schneider Julian , Ostendorff Malte , Schulz Konstantin , Zaczynska Karolina , Kintzel Florian , Rehm Georg 
Published: December 2024

AbstractTime and again we are faced, in a number of collaborative research projects, with the challenge of interconnecting various language processing tools to implement certain industry-driven use cases focusing, for the most part, upon digital content curation processes. In this paper we first describe several of the relevant projects and their technology platforms, followed by a description of the corresponding use cases and their requirements. The content curation platform we focus upon in this article and which has been implemented as a prototype makes use of a large number of NLP services, which we also build upon for other use cases and prototypes. In addition to the implemented NLP services, the article presents a workflow manager for the flexible creation and customisation of processing workflows that make use of the above mentioned NLP services. Based on the four key principles of generality, flexibility, scalability and efficiency, we present the first version of the workflow manager by providing details on its custom definition language, explaining the communication components and the general system architecture and setup. The paper also addresses challenges in interoperability across different NLP tasks and hardware-based resource use.
Enhancing low-illumination imagery using a Deep Convolutional Generative Adversarial Network with weight regularization (DCGAN-WR) and Zero-Reference Deep Curve Estimation (DCE)
Authors: Diviya M. , Karmel A. , Utthirakumari R. , Subramanian M. 
Published: December 2024

AbstractImproving low-light images to enhance prediction in various applications has a greater advantage. A two-pronged approach that employs Deep Convolutional Generative Adversarial Networks with weight regularization (DCGAN-WR) and Zero-Reference Deep Curve Estimation (DCE) was used. The model was trained using the LOL dataset, and the results showed significant improvements in image quality. The DCGAN is fine-tuned with Group Lasso regularization to enhance the performance. The DCGAN-WR model is shown to enhance images realistically, demonstrating its capacity to learn characteristics and texture representations from low-light input. Empirical and simulated image comparisons demonstrate remarkable performance under demanding low-light settings. Moreover, the DCE model employs a novel approach that considers color constancy loss, light smoothness, and spatial consistency. Information about the learning dynamics and curve parameter changing capabilities of the model can be visualized by loss function graphs, which aim to maximize picture quality. Compared to the original images, Images generated by the DCE models maintain color accuracy, increase exposure levels, and preserve spatial coherence. A solution for low-illumination image enhancement is achieved through the proposed model DCGAN-WR and DCE. Genuine details are recorded by the GAN model, while the DCE adjusts the exposure levels and color balance to produce improved, aesthetically pleasing, and contextually accurate images. The proposed approach not only outperforms the other methods on the LOL dataset but also exhibits potential for practical use in computer vision tasks, which require higher image quality for precise analysis and interpretation.
The Activation of Anti-Asian Attitudes on Vote Choice
Authors: Chan Nathan Kar Ming , Leung Vivien 
Published: December 2024

AbstractPolitical science research has assessed how racial attitudes influence political behavior. However, less is known about the political effects of anti-Asian views, even as anti-Asian sentiment resurfaced during the pandemic. We theorize that the linkage of COVID-19 to Asian Americans by political elites activated anti-Asian animosity and shaped vote choice during the 2020 election. Using cross-sectional over time and panel data from the American National Election Studies, we find that holding more anti-Asian attitudes was not associated with Republican vote choice between 2008–2016, including when Donald Trump first ran. However, anti-Asian views became strongly related to voting for Trump in 2020. Further panel analysis demonstrates evidence that anti-Asian views measured prior in 2016 increased the likelihood of vote switching to the Republican Party in 2020. We conclude by discussing the potentially persisting political effects of anti-Asian attitudes in an environment continuously characterized by anti-Asian hate and especially during future election cycles that may feature increasingly diverse candidates of Asian heritage, running for elective office across various levels of government—including for the presidency. This study contributes to research on how and when racial attitudes influence political behavior and suggests, again, the centrality of race and ethnicity in American Politics.
Household car-ownership in a world of constant change: The continued influence of traditional variables and the rising influence of emerging mobility scenarios
Authors: Narayanan Santhanakrishnan , Álvarez-Ossorio Martinez Santiago , Antoniou Constantinos 
Published: December 2024

AbstractEmerging modes (e.g., cargo bikes), mobility solutions (e.g., shared mobility services) and policy measures (e.g., the reduction of public parking spaces) are envisioned to reduce private car-ownership. However, the development of disaggregate car-ownership models dealing with them, which can be integrated with transport simulation systems, is still missing. Therefore, this study aims to fill this gap through the development of household car-ownership models, focusing on the cities of Madrid, Regensburg and Leuven. These cities correspond to distinct urban contexts in Europe. Models based on a representative individual as well as based only on household variables are explored, to check whether the latter shows congruence with the former and can achieve good summary statistics with lower data requirements. Furthermore, such models with only household-level variables are also found to be useful in ascertaining the impact of small-scale shared services. The estimation results show the influence of socio-demographic characteristics, mobility patterns, mobility tool ownership, transport supply and urban characteristics. Discussions are included on behavioural and policy insights. For example, cargo bike ownership and the presence of shared services support in car-ownership reduction. Furthermore, public parking spaces have a significant impact on single car-ownership in Madrid, but not on multiple car-ownership. Besides, the contrasting effects found for the mobility rates in Madrid and Regensburg convey the importance of urban design contexts. The contributions from this study enable to estimate the household car-ownership with the consideration of emerging mobility scenarios, and to devise policies to reduce private car-ownership and promote sustainable urban mobility.
Synthesis and characterization of Fe3O4@TiO2@Zeolite nanocomposite adsorbent for the removal of Levoflaxin antibiotic from environmental water matrices
Authors: Ramutshatsha-Makhwedzha Denga , Mavhungu Mapula Lucey , Baloyi Jeffrey , Mbaya Richard 
Published: December 2024

Abstract
The presence of pharmaceuticals in water matrices has been a major problem because of its expected adverse consequences on oceanic biological systems and human well-being. Levofloxacin (Levo), a persistent and widely used antibiotic, has emerged as a significant pollutant in water samples. Its resistance to conventional water treatment processes poses challenges for its removal. This work focuses on preparing and characterizing a magnetic nanocomposite adsorbent (Fe3O4@TiO2@Zeolite) designed to efficiently remove levofloxacin from the water samples, leveraging the Fe₃O₄ properties for easy separation and recovery of the adsorbent, TiO2 for its adsorption capacity, while zeolite’s porous structure and high ion-exchange capacity improve adsorption efficiency. Together, these materials create a robust, multifunctional composite with promising applications for pollutant removal from aqueous environments. The adsorption of Levo antibiotic exhibited excellent fitting to both the pseudo-second-order model (R
2 = 1) and the Langmuir isotherm (R
2 = 0.9240) together with the Freundlich isotherm (R
2 = 0.999). Furthermore, the thermodynamic analysis indicated that the adsorption process of Levo was spontaneous and endothermic. This implies that the interaction between Levo and the Fe3O4@TiO2@Zeolite nanocomposite, developed in this study, is favourable and requires energy input. The Fe3O4@TiO2@Zeolite nanocomposite demonstrated a promising efficacy in the removal of Levo from wastewater samples, with removal percentage ranging between 92.43 and 96.95%. The prepared Fe3O4@TiO2@Zeolite composite material could be regenerated up to the 5th cycle. This highlights the potential of the nanocomposite as an effective remedy for the purification of wastewater contaminated with Levo.
An almost linear time algorithm testing whether the Markoff graph modulo p is connected
Authors: Brown Colby Austin 
Published: December 2024

AbstractThe Markoff graphs modulo p were proven by Chen (Ann Math 199(1), 2024) to be connected for all but finitely many primes, and Baragar (The Markoff equation and equations of Hurwitz. Brown University, 1991) conjectured that they are connected for all primes, equivalently that every solution to the Markoff equation modulo p lifts to a solution over $$\mathbb {Z}$$
Z
. In this paper, we provide an algorithmic realization of the process introduced by Bourgain et al. [arXiv:1607.01530] to test whether the Markoff graph modulo p is connected for arbitrary primes. Our algorithm runs in $$o(p^{1 + \epsilon })$$

o
(

p

1
+
ϵ

)

time for every $$\epsilon > 0$$

ϵ
>
0

. We demonstrate this algorithm by confirming that the Markoff graph modulo p is connected for all primes less than one million.
Applying both the 30-s and the 5-repetition sit-to-stand tests captures dissimilar groups and a broader spectrum of physical abilities in mobility-limited older individuals: results from the BIOFRAIL study
Authors: Hansen P. , Nygaard H. , Ryg J. , Kristensen M. T. , Suetta C. 
Published: December 2024

Abstract
Purpose
We aimed to assess differences among older patients demonstrating low STS performance in the 30 s-STS and/or the 5r-STS.

Methods
30 s-STS and 5r-STS were used to assess lower limb muscle strength and function in older adults. Analysis involved 376 patients (≥ 65 years) from a geriatric outpatient clinic for fall assessment.

Results
The mean age of patients was 79.8 (± 6.1) years (67% female). In total, 40.6% had low STS performance with 9.3% presenting only low 30 s-STS, 9.8% only low 5r-STS, and 21.5% low STS performance in both tests. Patients with low STS performance in both tests had lower gait speed, were more often frail, and had more prior falls compared to patients with low STS performance in one test only.

Conclusion
The two STS tests are not interchangeable, and the use of both STS tests capture a wider range of physical abilities in mobility-limited older adults.

Clinical trial registration
NCT05795556.
Insurgent Cultures
Authors: Malreddy Pavan Kumar 
Published: December 2024

Moving beyond the normative frames of terrorism and counter-terrorism, this book shows how world literatures from the Global South can be used to examine the multiple modalities of violence that pervade contemporary world politics, such as communalism, factionalism, peasant wars, banditry, nationalist struggles, resource wars and acts of vengeance. The comparative approach of this book enables a theoretical realignment of insurgency from the mobilization of violence for grand, mythic, and ideological causes – as seen through the eyes of the state – to the violence for small causes, namely, the splintered violence conjured under conceptual rubrics such as divine violence, intimate violence, routine violence, everyday violence, inherited violence, and subterranean violence. Analyzing novels, autobiographies, journalistic accounts from key regions, such as Nigeria, Myanmar (Burma), India, and the Middle East, Insurgent Cultures provides a new understanding of the narratives of violence in the Global South. This title is also available as Open Access on Cambridge Core.
Talazoparib plus enzalutamide versus olaparib plus abiraterone acetate and niraparib plus abiraterone acetate for metastatic castration-resistant prostate cancer: a matching-adjusted indirect comparison
Authors: Castro Elena , Wang Di , Walsh Sarah , Craigie Samantha , Haltner Anja , Nazari Jonathan , Niyazov Alexander , Samjoo Imtiaz A. 
Published: December 2024

Abstract
Background
Without head-to-head trials between talazoparib+enzalutamide (TALA + ENZA), olaparib+abiraterone acetate (OLAP + AAP), and niraparib plus AAP (NIRA + AAP) the ability to evaluate their relative efficacy as first-line (1 L) treatment in metastatic castration-resistant prostate cancer (mCRPC) is limited. The objective of this study was to assess the relative efficacy between TALA + ENZA (TALAPRO-2) versus OLAP + AAP (PROpel) and NIRA + AAP (MAGNITUDE) in 1 L mCRPC via a matching-adjusted indirect treatment comparison (MAIC).

Methods
Patient-level data from TALAPRO-2 and published data from PROpel and MAGNITUDE were used. TALAPRO-2 data were reweighted to satisfy the eligibility criteria for PROpel and MAGNITUDE. Talazoparib (0.5 mg/day) plus enzalutamide (160 mg/day) was compared to olaparib (300 mg twice daily) plus abiraterone acetate (1000 mg/day) and niraparib (200 mg/day) plus abiraterone acetate (1000 mg/day). Hazard ratios (HRs) were calculated for radiographic progression-free survival (rPFS) and overall survival (OS), and odds ratios (ORs) for prostate-specific antigen (PSA) response and objective response rate (ORR). Additional efficacy outcomes were assessed.

Results
In all-comers, TALA + ENZA was statistically superior to OLAP + AAP for rPFS (HR: 0.727; 95% confidence interval [CI]: 0.565, 0.935) and PSA response (OR: 1.663; 1.101, 2.510), and numerically favored for OS (HR: 0.847; 0.667, 1.076) and ORR (OR: 1.109; 0.646, 1.903). In patients with homologous recombination repair mutations (HRRm), relative to NIRA + AAP, TALA + ENZA was statistically superior for rPFS (HR: 0.460; 0.280, 0.754), and numerically favored for OS (HR: 0.601; 0.347, 1.041) and ORR (OR: 1.524; 0.579, 4.016).

Conclusions
Results suggest that TALA + ENZA may provide improvements in clinical outcomes relative to OLAP + AAP and NIRA + AAP in 1 L mCRPC; however, inherent limitations associated with the complexity of the analyses must be considered.