bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors of higher pain in possible open globe injury emergency medical services activations
Authors: Choudhry Hassaam S. , Mothy David , Reddy Aneesh , Patel Aman M. , Peterson Skyler , Fisher Benjamin , Dastjerdi Mohammad H. 
Published: January 2025

Abstract

Purpose
To determine predictors of high pain in open globe injury (OGI) cases treated and transported by Emergency Medical Services.

Methods
The National Emergency Medical Services Information System database was queried for activations of OGI between 2017 and 2021. Demographic, location, medication, and date and time information was collected. Cases were divided based on the intensity of maximum pain reported (low pain: below 5/10, high pain: above 5/10). Logistic regression was used to identify significant predictors of high maximum pain.

Results
Of 53,589 cases of OGI, 20,766 reported high levels of pain. Females were more likely to report high pain than males (OR 1.24, CI 1.195–1.285). All age groups between 16 and 75 years old were more likely to report high pain than patients below 15, while all age groups above 75 were less likely. American Indians/Alaska Natives, Black, and Hispanic Americans were all more likely to report high pain than White Americans (American Indian, OR 1.249, CI 1.067–1.461; Black, OR 1.332, CI 1.277–1.390; Hispanic, OR 1.133, CI 1.064–1.207). OGI cases in the Midwest and South regions were less likely to report high pain than those in the West (Midwest, OR 0.868, CI 0.807–0.933; South, OR 0.800, CI 0.748–0.855). Compared to low pain patients, a greater percentage of high pain patients received opioid analgesia (10.04% vs. 0.44%).

Conclusions
Demographic factors and location may contribute to higher pain in OGI patients. This information may prove useful in the management of OGI and may warrant further investigation into the nature of open globe trauma.Kindly check and confirm the inserted city is correct for affiliation 3.Correct
How Pannah Gahs (shelter homes) are helping the homeless people in Lahore, Pakistan
Authors: Hameed Rizwan , Aslam Atif Bilal , Khan M Sana Ullah 
Published: January 2025

Abstract
Urban homelessness is a problem faced by both developed and developing countries due to various causes requiring contextualized responses. Governments have used temporary housing like shelter homes to combat homelessness, but providing adequate facilities and ensuring their use by the homeless remain significant challenges. This research article investigates the efficacy of shelter homes (locally known as Pannah Gahs) in Lahore. The objective is to explore the migration purposes of occupants contributing to urban homelessness, evaluate their satisfaction with shelter home facilities and understand their future migration intentions. Unstructured key informant interviews with Pannah Gah officials and semi-structured interviews of selected homeless people staying in the Panah Gahs were conducted. The finding reveals that, unlike in other developing countries, the government’s compassionate approach to treating homeless people with dignity, the security measures in place, and the staff training at Pannah Gahs have encouraged the homeless to use these facilities more frequently. However, most seemingly urban homeless people are economic migrants with homes elsewhere thus exhibiting a multilocality character. Employed homeless individuals often seek their own housing, while job-seeking homeless individuals tend to stay in their current situations due to financial constraints. The study highlights policy implications, advocating for a nuanced definition of homelessness considering economic migrants and spatially split households. It emphasizes the need for government support, such as affordable housing, and stresses that successful shelter home programs require government commitment, stakeholder collaboration, and comprehensive support services to restore the dignity and self-respect of the homeless.
Pregnant Turkish Muslim Women’s Perspectives and Experiences on Religion and Spirituality during Pregnancy
Authors: Yilmaz Figen Alp , Uzunçakmak Tuğba 
Published: January 2025

Abstract
The aim of this study is to determine the views and experiences of pregnant Muslim women about religion and spirituality during pregnancy. A descriptive, phenomenological design was used, and the study was conducted with 16 pregnant Muslim women living in Türkiye. The thematic analysis method was used. The main themes created in the study were pregnant women’s motivation to have children, changes during pregnancy, faith and spirituality during pregnancy, support for the moment of birth, and motherhood. Pregnant women also need moral support in addition to routine practices and follow-ups during this difficult and distressing process. Religious practices provide psychological comfort for pregnant women in coping with the symptoms they experience and having a healthy birth and a healthy baby. Spiritual care should be given importance in raising health professionals and spirituality-based topics should be included in the education process.
Developing robust incomplete Cholesky factorizations in half precision arithmetic
Authors: Scott Jennifer , Tůma Miroslav 
Published: January 2025

Abstract
Incomplete factorizations have long been popular general-purpose algebraic preconditioners for solving large sparse linear systems of equations. Guaranteeing the factorization is breakdown free while computing a high quality preconditioner is challenging. A resurgence of interest in using low precision arithmetic makes the search for robustness more important and more challenging. In this paper, we focus on ill-conditioned symmetric positive definite problems and explore a number of approaches for preventing and handling breakdowns: prescaling of the system matrix, a look-ahead strategy to anticipate breakdown as early as possible, the use of global shifts, and a modification of an idea developed in the field of numerical optimization for the complete Cholesky factorization of dense matrices. Our numerical simulations target highly ill-conditioned sparse linear systems with the goal of computing the factors in half precision arithmetic and then achieving double precision accuracy using mixed precision refinement. We also consider the often overlooked issue of growth in the sizes of entries in the factors that can occur when using any precision and can render the computed factors ineffective as preconditioners.
Resilience as a professional competence: a new way towards healthy teachers?
Authors: Baatz Judith , Wirzberger Maria 
Published: January 2025

Abstract
Considering teachers’ poor state of health, we conducted a literature review to investigate, whether resilience, as a professional competence, has a health-promoting effect on teachers. Re-directing the seemingly inevitable trajectory from stress to illness towards health, the effects should be reflected in the improvement of teachers’ negative strain ratios. Hence, our review investigated the effect of resilience and specific resilience resources regarding teachers’ risk of burnout, stress perception and coping, general well-being, attrition rates, and effectiveness. Our results indicate that resilience supports teachers’ health, by consistently showing a positive impact on the investigated aspects. Furthermore, our catalog of identified resilience resources supports the concept of teacher-specific resilience. As effective programs for promoting teachers’ resilience are lacking, this informs new intervention approaches to promote teachers’ health.
A community detection-based parallel algorithm for quantum circuit simulation using tensor networks
Authors: Pastor Alfred M. , Badia Jose M. , Castillo Maribel 
Published: January 2025

Abstract
Quantum computing holds significant promise for solving complex problems, but simulating quantum circuits on classical computers remains essential due to the current limitations of quantum hardware. Efficient simulation is crucial for the development and validation of quantum algorithms and quantum computers. This paper explores and compares various strategies to leverage different levels of parallelism to accelerate the contraction of tensor networks representing large quantum circuits. We propose a new parallel multistage algorithm based on communities. The original tensor network is partitioned into several communities, which are then contracted in parallel. The pairs of tensors of the resulting network can be contracted in parallel using a GPU. We use the Girvan–Newman algorithm to obtain the communities and the contraction plans. We compare the new algorithm with two other parallelisation strategies: one based on contracting all the pairs of tensors in the GPU and another one that uses slicing to cut some indexes of the tensor network and then MPI processes to contract the resulting slices in parallel. The new parallel algorithm gets the best results with different well-known quantum circuits with a high degree of entanglement, including random quantum circuits. In conclusion, the results show that the main factor that limits the simulation is the space cost. However, the parallel multistage algorithm manages to reduce the cost of sequential simulation for circuits with a high number of qubits and allows simulating larger circuits.
KubePipe: a container-based high-level parallelization tool for scalable machine learning pipelines
Authors: Suárez Daniel , Almeida Francisco , Blanco Vicente , Toledo Pedro 
Published: January 2025

Abstract
As the complexity and scale of machine learning applications continue to grow, the need for efficient training methodologies becomes increasingly critical. Traditional training processes can be time-intensive, often limiting rapid development and deployment. In response to this challenge, we present KubePipe, a high-level tool that abstracts parallelism and containerization from the user, allowing non-expert users to leverage advanced parallel architectures without requiring deep knowledge of parallel computing or container orchestration. KubePipe enables the concurrent execution of multiple machine learning workflows within a Kubernetes cluster, optimizing computational resources and significantly reducing training times. By leveraging containerized environments, KubePipe ensures a high degree of modularity, scalability, and portability, making it adaptable to various machine learning frameworks and tasks. Our experimental results demonstrate substantial performance improvements when using KubePipe compared to conventional pipeline implementations. This paper explores the architecture and functionality of KubePipe, providing insights into its integration with existing machine learning systems and highlighting its potential to streamline the training process in high-performance computing environments.
Self-rated health differences between exclusive e-cigarette users and exclusive cigarette smokers: evidence from the 2017–2019 Scottish Health Survey
Authors: Adebisi Yusuff Adebayo , Lucero-Prisno Don Eliseo , Ogunkola Isaac Olushola 
Published: January 2025

Abstract
The comparative health implications of e-cigarette use versus traditional cigarette smoking remain a critical focus in public health research. This cross-sectional study examined differences in self-rated general health between exclusive e-cigarette users and exclusive cigarette smokers, using data from the 2017–2019 Scottish Health Survey. A total of 2484 adults (aged 16 and above) were included and categorized as exclusive e-cigarette users (n = 565) or exclusive cigarette smokers (n = 1919). Self-rated health was assessed using a single-item measure with five response categories: “very bad,” “bad,” “fair,” “good,” and “very good”. Generalized ordinal logistic regression models were used to estimate the association between nicotine product use and self-rated health, adjusting for age, sex, Scottish Index of Multiple Deprivation, marital status, ethnicity, alcohol consumption frequency, physical activity, presence of longstanding physical or mental health conditions, and age of smoking initiation. In the fully adjusted model, exclusive e-cigarette users had higher odds of reporting better self-rated health compared to exclusive cigarette smokers overall (OR = 1.26, 95% CI 1.05–1.51, p = 0.012). A graded relationship was also observed in the fully adjusted model, with progressively lower odds of reporting better self-rated health as smoking intensity increased, using exclusive e-cigarette users as the reference group. Heavy smokers (≥ 20 cigarettes/day) had the lowest odds of reporting better self-rated health (OR = 0.63, 95% CI 0.49–0.80, p < 0.001), followed by moderate smokers (10 to < 20 cigarettes/day) (OR = 0.81, 95% CI 0.66–0.99, p = 0.047). In contrast, light smokers (< 10 cigarettes/day) showed no significant difference in self-rated health compared to exclusive e-cigarette users (OR = 0.94, 95% CI 0.75–1.18, p = 0.614). These findings indicate that exclusive e-cigarette use is associated with better self-rated health compared to exclusive cigarette smoking, particularly among moderate and heavy smokers. Additional analyses revealed no significant differences in self-rated health among exclusive e-cigarette users based on prior smoking history (OR = 0.94, 95% CI 0.43–2.08, p = 0.882) or among exclusive cigarette smokers based on prior e-cigarette use (OR = 0.87, 95% CI 0.69–1.09, p = 0.219). These findings suggest that prior use is unlikely to explain the observed association between exclusive e-cigarette use and better self-rated health compared to exclusive cigarette smoking. Given the subjective nature of self-rated health, these findings should be interpreted with caution. Future longitudinal studies incorporating objective health measures are essential to assess the long-term impacts of e-cigarette use and inform evidence-based harm reduction policies.
‘Death by a thousand cuts’: Understanding the experience of school leaders navigating parent engagement
Authors: Wade Carolyn 
Published: January 2025

Abstract
This study investigates the lived experiences of school leaders as they navigate the complex demands of parent engagement within the increasing accountability pressures of the neoliberal education landscape. Drawing on interviews with 12 primary school leaders across Queensland, Australia, the research explores the emotional and professional toll of managing parent expectations. Iterative data analysis applying Gadamer’s philosophical hermeneutics revealed three key themes: (1) the multifaceted leadership challenges of balancing expectations and resources; (2) significant impacts on leaders’ well-being, including emotional exhaustion and moral distress; and (3) the absence of formal training and systemic support for school leaders in managing parent interactions.
Participants described profound emotional and moral injury from the relentless demands of parent engagement, with one school leader likening it to a ‘death by a thousand cuts’. Findings underscore the urgent need for targeted professional development, clear protocols, dedicated resources, and a cultural shift towards empathy and shared responsibility in parent-school relationships. This study contributes to the growing body of research on school leaders’ experiences with parent engagement in the context of neoliberal reform mandates. While existing research explores leadership practices under neoliberal conditions, this study uniquely addresses the relational and ethical complexities of parent engagement, highlighting its critical impact on school leaders’ sustainability and the transformative potential of school-family partnerships.
The Need for IRB Leadership to Address the New Ethical Challenges of Research with Highly Portable Neuroimaging Technologies
Authors: Comeau Donnella S. , Silverman Benjamin C. , Avanaki Mahsa Alborzi , Wolf Susan M. 
Published: January 2025

AbstractThe emergence of innovative neuroimaging technologies, particularly highly portable magnetic resonance imaging (pMRI), has the potential to spawn a transformative era in neuroscience research. Resourced academic institutional review boards (IRBs) with experience overseeing traditional MRI have a special role to play in ethical governance of pMRI research and should facilitate the collaborative development of nuanced and culturally sensitive guidelines and educational resources for pMRI protocols. This paper explores the ethical challenges of pMRI in neuroscience research and the dynamic leadership role that IRBs should play to promote ethical oversight of emerging pMRI research.
Bank Loan Announcement Effects: Evidence from a Comprehensive 8-K Sample
Authors: Ho Steven Wei , Liu Clark , Wang Shujing 
Published: January 2025

Abstract
We investigate whether bank loan financing from 1994 to 2018 conveys valuable private information using a sample of over 10,000 bank loan announcements identified from 8-K filings. We show that the positive announcement effect is persistent and closely related to the information revealed in loan characteristics: The effect is stronger when deals have higher materiality, more favorable pricing, larger lead bank shares, and higher syndicate concentration. The effect is also stronger when lenders have higher credit quality and when credit market conditions are worse. The insignificant wealth effect documented in several early studies is potentially driven by small sample size.
Don't throw motivation out with the black box: The value of a good theory revisited
Authors: Heckhausen Jutta , Rheinberg Falko 
Published: January 2025

Abstract
Murayama and Jach claim that current motivational constructs do not specify causal processes (black-box problem) and that mental computational processes solve this problem. We argue, process-focused research requires theoretical frameworks addressing situational variations, individual differences, and their interaction. Classic achievement motivation theory provides comprehensive models with empirically measurable process-related constructs and predictions. Recent developments build on this, addressing motivation, action, and their socio-cultural and lifespan context. Theory-free mental computational processes cannot do any of that.
Endogenous reward is a bridge between social/cognitive and behavioral models of choice
Authors: Ainslie George 
Published: January 2025

Abstract
Endogenous reward (intrinsic reward at will) is a fiat currency that is occasioned by steps toward any goals which are challenging and/or uncommon enough to prevent its debasement by inflation. A “theory of mental computational processes” should propose what properties let goals grow from appetites for endogenous rewards. Endogenous reward may be the universal selective factor in all modifiable mental processes.
Motivational constructs: Real, causally powerful, not psychologically constructed
Authors: Scarantino Andrea 
Published: January 2025

Abstract
Murayama and Jach criticize the use of high-level motivational constructs in psychology, urging psychologists to “unpack” the black box. These constructs are alleged to be “psychological constructions” with no causal powers of their own. I argue that this view is mistaken, and that high-level motivational constructs are causal even when unpacked in terms of underlying computational, algorithmic, and implementational processes.
Oral submucous fibrosis: pathogenesis and therapeutic approaches
Authors: Tang Jianfei , Liu Junjie , Zhou Zekun , Cui Xinyan , Tu Hua , Jia Jia , Chen Baike , Dai Xiaohan , Liu Ousheng 
Published: January 2025

Abstract
Oral submucous fibrosis (OSF), characterized by excessive deposition of extracellular matrix (ECM) that causes oral mucosal tissue sclerosis, and even cancer transformation, is a chronic, progressive fibrosis disease. However, despite some advancements in recent years, no targeted antifibrotic strategies for OSF have been approved; likely because the complicated mechanisms that initiate and drive fibrosis remain to be determined. In this review, we briefly introduce the epidemiology and etiology of OSF. Then, we highlight how cell-intrinsic changes in significant structural cells can drive fibrotic response by regulating biological behaviors, secretion function, and activation of ECM-producing myofibroblasts. In addition, we also discuss the role of innate and adaptive immune cells and how they contribute to the pathogenesis of OSF. Finally, we summarize strategies to interrupt key mechanisms that cause OSF, including modulation of the ECM, inhibition of inflammation, improvement of vascular disturbance. This review will provide potential routes for developing novel anti-OSF therapeutics.
CREB1-BCL2 drives mitochondrial resilience in RAS GAP-dependent breast cancer chemoresistance
Authors: Man Ki-Fong , Darweesh Omeed , Hong Jinghui , Thompson Alexandra , O’Connor Charlotte , Bonaldo Chiara , Melkonyan Mark N. , Sun Mo , Patel Rajnikant , Ellisen Leif W. , Robinson Tim , Song Dong , Koh Siang-Boon 
Published: January 2025

Abstract
Triple-negative breast cancer (TNBC) is an aggressive and heterogenous breast cancer subtype. RASAL2 is a RAS GTPase-activating protein (GAP) that has been associated with platinum resistance in TNBC, but the underlying mechanism is unknown. Here, we show that RASAL2 is enriched following neoadjuvant chemotherapy in TNBC patients. This enrichment is specific to the tumour compartment compared to adjacent normal tissues, suggesting that RASAL2 upregulation is tumour-selective. Analyses based on 2D/3D cultures and patient-derived xenograft models reveal that RASAL2 confers cross-resistance to common DNA-damaging chemotherapies other than platinum. Mechanistically, we found that apoptotic signalling is significantly downregulated upon RASAL2 expression. This feature is characterised by substantial alterations in the expression of anti-versus pro-apoptotic factors, pointing to heterogeneous mechanisms. In particular, RASAL2 upregulates BCL2 via activation of the oncogenic transcription co-factor YAP. CREB1, a YAP-interacting protein, was identified as the common transcription factor that binds to the promoter regions of RASAL2 and BCL2, driving their collective expression. A subset of RASAL2 colocalises with BCL2 subcellularly. Both proteins decorate mitochondria, where the high levels of mitochondrial RASAL2-induced BCL2 expression render the organelles refractory to apoptosis. Accordingly, mitochondrial outer membrane permeabilisation assay using live mitochondria from RASAL2-high/chemoresistant tumour cells demonstrated attenuated release of death signal, cytochrome c, when exposed to pro-apoptotic factors BAX and tBID. Similarly, these cells were more resilient towards chemotherapy-induced mitochondrial depolarisation. Together, this work reveals a previously undocumented molecular link between RAS GAP and apoptosis regulation, providing a new mechanistic framework for targeting a subset of chemorefractory tumours.