bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of breastfeeding self-efficacy levels on maternal attachment: the mediation role of mothers’ traumatic childbirth perception
Authors: Kaynak Serap , Özçoban Filiz Aslantekin , Duran Songül 
Published: February 2025

Abstract
The perception of traumatic birth can negatively affect maternal and child health by influencing breastfeeding self-efficacy and maternal attachment. This study aimed to examine the mediating role of traumatic childbirth perception in the effect of breastfeeding self-efficacy on maternal attachment among mothers. A total of 195 mothers were included in this descriptive and cross-sectional research. The research data were collected by using the Descriptive Information Form, the Traumatic Childbirth Perception Scale, the Maternal Attachment Inventory, and the Breastfeeding Self-Efficacy Scale (Short Form). As a result of the research, it was determined that the mothers’ traumatic childbirth perception was at a moderate level, their maternal attachment scores were high and their breastfeeding self-efficacy scores were above average. Also, a positive correlation was identified between maternal attachment and breastfeeding self-efficacy. The research findings show that 48.7% of participant mothers had high-level or very high-level traumatic childbirth perceptions. Health professionals should support mothers about traumatic birth anxiety.
Evidence-Based Analysis of AI Chatbots in Oncology Patient Education: Implications for Trust, Perceived Realness, and Misinformation Management
Authors: Lawson McLean Aaron , Hristidis Vagelis 
Published: February 2025

Abstract
The rapid integration of AI-driven chatbots into oncology education represents both a transformative opportunity and a critical challenge. These systems, powered by advanced language models, can deliver personalized, real-time cancer information to patients, caregivers, and clinicians, bridging gaps in access and availability. However, their ability to convincingly mimic human-like conversation raises pressing concerns regarding misinformation, trust, and their overall effectiveness in digital health communication. This review examines the dual-edged role of AI chatbots, exploring their capacity to support patient education and alleviate clinical burdens, while highlighting the risks of lack of or inadequate algorithmic opacity (i.e., the inability to see the data and reasoning used to make a decision, which hinders appropriate future action), false information, and the ethical dilemmas posed by human-seeming AI entities. Strategies to mitigate these risks include robust oversight, transparent algorithmic development, and alignment with evidence-based oncology protocols. Ultimately, the responsible deployment of AI chatbots requires a commitment to safeguarding the core values of evidence-based practice, patient trust, and human-centered care.
Ionically crosslinked biohybrid gelatin-based hydrogels for 3D cell culture
Authors: Du Eric Y. , Duong H. T. Kim , Tolentino M. A. Kristine , Houng Jacinta L. , Suwannakot Panthipa , Tjandra Kristel C. , Nguyen Duyen H. T. , Tilley Richard D. , Justin Gooding J. 
Published: February 2025

Abstract
The transition from two-dimensional to three-dimensional cell cultures has transformed the understanding of cell physiology and cell–matrix interactions. Extracellular matrix (ECM) mimics tend to fall into either the natural or synthetic categories. Naturally occurring ECM mimics, such as collagen and gelatin, have superior bioactive properties but typically lack tuneability. Conversely, synthetic ECM mimics are highly defined but even with modifications, can lack the bioactivity of natural proteins. Therefore, to take advantage of the potential of both natural and synthetic ECM mimics, a biohybrid ionically crosslinked gelatin hydrogel was synthesised. This was achieved by utilising free amine groups along the gelatin backbone as the basis for a reversible addition − fragmentation chain-transfer (RAFT) reaction. The resulting polymers had tuneable stiffness and enhanced solubility compared to gelatin. The biohybrid gel also showed good biocompatibility, with MCF-7 cells forming larger spheroids when encapsulated within the biohybrid gel when compared to an unfunctionalized polyethylene-glycol (PEG) gel. Furthermore, due to the ionic crosslinking in the biohybrid gel, spheroids can be retrieved by digesting the matrix using 10 × phosphate-buffered saline (PBS). Retrieved cells were shown to be viable which allows for the potential of downstream analysis. Thus, this study highlights the potential of hybrid gelatin–PEG hydrogels for 3D cell culture.

Graphical abstract

The biohybrid gelatin (Gelatin-SPMA) is crosslinked with a positively charged polymer (PEG-MAETMA) to form a gel within seconds. MCF-7 cells survived encapsulation and formed spheroids over 7 days. 10x phosphate buffered saline (PBS) was then used to digest the hydrogel, allowing for the recovery of encapsulated spheroids.
Problem Recognition as A Discrete Concept for Change Processes in Problematic Alcohol Use
Authors: Morris J. , Richards D. K. , Albery I. P 
Published: February 2025

Abstract

Purpose of review
Alcohol problem recognition reflects the extent to which a person with any level of problematic alcohol use (PAU), including hazardous alcohol use, acknowledges the associated risks/harms as potentially/actually problematic with a relative degree of objectivity. Notably, alcohol problem recognition is typically low amongst people with PAU not engaged in treatment or support. This review evaluates existing PAU problem recognition measures and related concepts such as ambivalence, readiness to change, motivation, cognitive biases and other self-evaluative appraisal processes.

Recent findings
Alcohol problem recognition has been operationalised via various measures but is often conflated with other related but theoretically distinct concepts. Limited conceptual work examines the nature of problem recognition as a discrete concept and its function in relation to behaviour change outcomes and key variables.

Summary
Problem recognition is proposed as an important theoretically distinct process that warrants further conceptual development and testing for advancing understanding of change processes across the PAU spectrum.
For a Unified Stakeholder Management Science: How Computational Ontologies Can Mend a Broken Theory
Authors: Agafonow Alejandro , Neesham Cristina , Perez Marybel 
Published: February 2025

Abstract
This research explores how stakeholder scholarship can evolve into a puzzle-solving tool, akin to more advanced scientific fields. Only a unified stakeholder management science can address issues like firms that, despite the looming threat of climate disaster, prioritize profits over environmental concerns. Such unification, however, depends on a computational turn of mind outlined herein. Stakeholder scholarship has failed to progress toward this end, because stakeholder theory has fallen short of shedding light on the inner workings of the firm in search of the mechanisms that govern its relations with stakeholders, instead lingering over the outermost parts of the social phenomena where stakeholder macro dynamics are obvious. This lays open several hurdles that must be overcome for stakeholder scholarship to become a puzzle-solving tool at the service of the environment and society. Thus, a computational fix may be within reach in the next few decades if the following five steps, elaborated upon herein, guide the transition: 1) probe firm-level mechanisms, 2) focus on qualitative institutional data, 3) adopt computational language to reduce ambiguities, 4) develop algorithms for how activities discharge powers or capacities to fulfill functions, and 5) break with peer-review silos that have made stakeholder theory self-referential.
Light-Weight Design of Aerospace Components Using Genetic Algorithm and Dandelion Optimization Algorithm
Authors: Akçay Özlem , İlkılıç Cumali 
Published: February 2025

Abstract
In recent years, weight reduction studies using optimization methods have been increasing, and they are widely used in sectors such as aerospace, automotive, and marine. While there are many research studies on weight reduction using these methods, weight reduction efforts in aircraft landing gear systems are inadequate. Therefore, to address this deficiency, in this study, it is proposed to design a lighter component of the aircraft’s nose landing gear fork part that can withstand the same loading conditions with minimum material using optimization techniques. Genetic algorithm and dandelion optimization algorithm, which are algorithms created with a meta-heuristic approach, were used to obtain the optimum size in shape optimization. According to the results obtained, the initial mass of the nose landing gear fork was 14.25 kg, which decreased to 12.99 kg after topology optimization, resulting in approximately an 8.84% weight reduction. The part is 11.79% lighter compared to the initial model after shape optimization using genetic algorithm. With the dandelion optimization algorithm, a mass gain of 1.77 kg resulted in a 12.42% weight reduction, obtaining optimal dimensions. One of the aims of this study is to demonstrate the effectiveness of metaheuristic algorithms on optimal product development. This study is the first to perform weight reduction using artificial intelligence optimization algorithms in landing gear system components.
Spacecraft Trajectory Optimisation Using Differential Dynamic Programming
Authors: Mondino Pietro , Saladino Vincenzo 
Published: February 2025

Abstract
Spacecraft trajectory optimisation represents a pillar for space mission development, as it allows the design of more cost-effective and high-performance operational concepts. In this context, the Mars exploration race, best epitomised by the Mars Sample Return mission (MSR), has highlighted the need to optimise not only the Keplerian phase trajectory, but also the proximity dynamics and the atmosphere environment one. In this paper, the Differential Dynamic Programming (DDP) optimisation algorithm is initially introduced as a proven second-order technique that relies on Bellman’s Principle of Optimality and successive minimisation of quadratic approximations. Then, a collection of modified DDP methods is presented for the purpose of enhancing the classic DDP weaknesses. Subsequently, a constrained DDP algorithm is implemented and applied to two case studies: a deep-space rendez-vous and a martian soil landing manoeuvre. The choice is to test the algorithm in different environments, showing the influence of gravity and atmosphere on the convergence properties. For both problems, a parametric and a convergence analysis is carried out to identify the best input parameters and the resulting trajectory optimisation process is displayed. Satisfactory results are achieved, proving the validity of the algorithm: order of few centimetres for position and some decimetres per second for velocity errors are reached. Furthermore, its adaptability allows to satisfy diverse requirements depending on the type of manoeuvre performed, extending its application field. Finally, some algorithm’s features are pointed out, investigating the influence of regularisation parameters and time of flight on the convergence process.
Multigoal-oriented dual-weighted-residual error estimation using PINNs
Authors: Chakraborty Ayan , Wick Thomas , Rabczuk Timon , Zhuang Xiaoying 
Published: February 2025

Abstract
Deep learning has shown successful application in visual recognition and certain artificial intelligence tasks. It is mainly considered as a powerful tool with high flexibility to approximate functions. This paper proposes a generalized NURBS based approach to solve nonlinear partial differential equations (PDEs) on arbitrary complex-geometry domains by using physics-informed neural networks (PINNs). Our approach is based on a posteriori error estimation in which the adjoint problem is solved for the error localization to formulate an error estimator within the framework of neural network. An efficient and easy to implement algorithm is developed to obtain a posteriori error estimate for multiple goal functionals by employing the dual-weighted residual approach, which is followed by the computation of both primal and adjoint solutions using the neural network. The present study shows that such a data-driven model based learning has superior approximation of quantities of interest even with relatively less training data. Moreover, we illustrate the versatility of activation functions in achieving better learning capabilities and improving convergence rates, especially at the early training stage, and also in increasing solutions accuracies. The novel algorithmic developments are substantiated with several numerical test examples. It has been demonstrated that deep neural networks have distinct advantages over shallow neural networks, and the techniques for enhancing convergence have also been reviewed.
Acute Iatrogenic Distal Aortic Pseudoaneurysm Caused by Metallic Arm of Displaced Vena Cava Filter—Case Report and Review of the Literature
Authors: Slyško Roman , Vulev Ivan , Smoter Šimon 
Published: February 2025

Abstract

Objectives
We report a case of an 82-year-old female patient admitted with severe abdominal and lumbar pain. She had a history of deep vein thrombosis in the lower extremities, complicated by pulmonary embolism, which led to the placement of a vena cava filter. This manuscript provides also a current literature review.

Methods
CT scans revealed chronic collateralized thrombosis and shrinkage of the inferior vena cava, along with the extramural displacement of the filter's metallic arms. One arm penetrated the ventral wall of the abdominal aorta, causing a pseudoaneurysm (PSA). We describe the successful treatment of the PSA with percutaneous endovascular aneurysm repair (PEVAR) and the ongoing extraction of the cava filter, evacuation of the PSA hematoma, lavage, and drainage performed via an extraperitoneal approach due to persistent inflammatory signs.

Results
The patient remained clinically well during subsequent follow-ups.

Conclusion
(P)EVAR is a safe and justified procedure when the abdominal wall is penetrated due to a displaced cava filter. If there is concomitant penetration of the intestinal wall, open surgery is required, either alone or following endovascular treatment. The authors consider it important to note that, to date, no guidelines have been revealed to objectively recommend a specific approach in patients with caval filter penetration. For this reason, we consider a multidisciplinary approach essential as the mainstay of treatment.
Breaking-up and breaking the norm: Intergenerational divorce transmission among two ethnolinguistic groups
Authors: Uggla Caroline , Saarela Jan 
Published: February 2025

Abstract
Individuals who experience divorce in childhood are more likely to divorce themselves as adults. Notably, the magnitude of the intergenerational divorce transmission is stronger for groups among whom divorce is rare. This transmission may reflect differences in mating strategies passed from parent to child, or differences in cultural norms between groups. Sociologists and demographers have struggled to disentangle socioeconomic and cultural factors, because groups that are less wealthy also tend to have higher divorce rates. We use data from Finland, where two native ethnolinguistic groups with comparable socioeconomic characteristics - but different divorce risks - live side by side; Swedish speakers and Finnish speakers. Using register data on the entire Finnish population (N=554,337 couples 1987-2020), we examine separation risk as a function of parental divorce. Data suggest that the intergenerational transmission is greater among Swedish speakers, who have an overall lower separation rate. Group differences in separation risk persist even after controlling for socioeconomic factors and each partner’s experience of parental divorce. Notably, Finnish-speaking couples who reside in Swedish-dominated areas have both somewhat lower separation risk, and higher intergenerational transmission than their peers in Finnish-dominated areas. These results point to a cultural transmission of separation, beyond strong socioeconomic factors.
The Modifiable Areal Unit Problem in Political Science
Authors: Lee Dong Wook , Rogers Melissa , Soifer Hillel David 
Published: February 2025

Abstract
Building on the availability of geospatial data, improvements in mapping software, and innovations in spatial statistics, political scientists are increasingly taking geography seriously. As we adopt the tools of geographers, we must also consider the methodological challenges they have identified. We focus on the modifiable areal unit problem (MAUP)—the idea that the size of aggregate spatial units and the location of their borders affect the empirical results we obtain. We first describe the logic of the MAUP, and then demonstrate the MAUP through simulations, showing MAUP-related inconsistency in regression results in randomly generated and real-world data. We identify MAUP concerns, and best practices, in top journals in political science. We conclude by suggesting how scholars may respond in theoretical and empirical terms to concerns about validity and reliability that arise from the MAUP.
Habsburg in Havana. Outsider Participation in the Spanish Empire: the Slaving Licence of Romberg & Consors of Ghent, 1780–90
Authors: Pannier Stan 
Published: February 2025

Abstract
The history of European overseas expansion has traditionally been studied from a national perspective. However, the rise of Atlantic history, global history, and a revitalized maritime history has prompted scholars to question the rigidity of Early Modern borders assumed by these conventional national or imperial frameworks. In parallel, researchers have contested the state-centric viewpoint by advocating for an actor-focused approach to Atlantic System history, emphasizing the role of private merchants and their informal, international networks. These approaches have uncovered the involvement of entrepreneurs belonging to polities without a formal empire in the colonial ventures of other nations. This paper examines one such trans-imperial enterprise: Romberg & Consors, a firm operating from the Austrian Netherlands. During and after the American War of Independence (1775–83), Romberg & Consors leveraged evolving Spanish attitudes toward the slave trade and the establishment of neutral trade to organize slave trade expeditions to Cuba. By closely analyzing the operations of this Imperial firm, this study illuminates a decisive phase in Spanish imperial history while contributing to the often-overlooked Atlantic history of the Habsburg Monarchy and the Austrian Netherlands.
Multifaceted multilingual experiences modulate neurocognitive mechanisms of task switching
Authors: Zhang Haoyun , Li Defeng , Lei Victoria Lai Cheng , Leong Teng Ieng , Leong Cheok Teng , Li Jiaze , Huang Ruey-Song 
Published: February 2025

Abstract
This study explored the relationship between multifaceted multilingualism and cognitive shifting through a task-switching paradigm using fMRI. Multilingualism was modeled from both convergent (i.e., integrated multilingual index) and divergent (i.e., L2 proficiency, interpreting training, language entropy) perspectives. Participants identified letters or numbers based on task cues, with Repeat trials maintaining the same task and Switch trials requiring a different task. Switch cost (Switch–Repeat) was used to reflect shifting demands. Better task-switching performance was associated with a higher integrated multilingual index and interpreting training. Neuroimaging indicated that multilinguals predominantly engaged left-hemisphere regions for switching, with extensive multilingual experience requiring fewer neural resources for switch cost (i.e., more efficient processing for cognitive control). During task switching, brain connectivity was regulated locally by L2 proficiency, and globally by interpreting training. These findings underscore the importance of considering multifaceted multilingual experience to understand its impact on cognitive function and brain activity.
Past and Future Modulation of the ENSO Teleconnection to Southeast Asian Rainfall by Interbasin Interactions
Authors: Le Roy Emmie J. , Ummenhofer Caroline C. 
Published: February 2025

AbstractDecadal variations in the El Niño‐Southern Oscillation (ENSO)'s influence on Southeast Asian rainfall are modulated by variability in the mean state of atmospheric circulation and moisture anomalies in the Indo‐Pacific Warm Pool (IPWP). Variations in the mean state are characterized by a tripolar pattern in sea surface temperatures (SST) spanning the Indian Ocean, central IPWP, and western Pacific regions. Due to ENSO teleconnection asymmetry, Southeast Asian rainfall is more sensitive to La Niña than El Niño. During positive phases of the tripole pattern, the mean state is drier, with reduced vertical motion over mainland Southeast Asia suppressing La Niña anomalies. In negative phases, the mean state is wetter, with enhanced vertical motion amplifying La Niña anomalies. From 1980 to 2015, relative SST trends show a negative tripole pattern, strengthening the ENSO ‐ Southeast Asian rainfall relationship. However, future projections for 2050–2100 suggest a positive tripole pattern, predicting a weakening of this relationship by 2100.
Two Decades of Dust Radiative Forcing on Snow Cover Across the Great Salt Lake Basin
Authors: Lang Otto I. , Naple Patrick , Mallia Derek , Hosler Ty , Adams Bradley , McKenzie Skiles S. 
Published: February 2025

AbstractSeasonal snowpacks in mountain drainages of the Great Salt Lake Basin (GSLB), western United States, are the primary surface water supply to regional agriculture, the metropolitan Wasatch Front, and the terminal Great Salt Lake. Spring dust emissions from the eastern Great Basin result in a dust‐darkened GSLB snowpack, locally accelerating snowmelt relative to dust‐free conditions. Such acceleration has been linked to streamflow forecasting errors in the adjacent Colorado River Basin, but snow darkening impacts within the GSLB are largely uninvestigated. To quantify the dust impact, we analyzed patterns in dust radiative forcing (RFdust) over the MODIS record (2001–2023) using spatially and temporally complete RFdust and fractional snow‐covered area products. For validation, retrievals were cross‐referenced with in situ RFdust observations. Results showed that RFdust was present every year and had no significant trend over the record. Spatially, RFdust was similar across all three subbasins. Temporally, RFdust exhibited high interannual variability (−30 to +40 Wm−2 from record means) and has declined slightly in regions of the eastern GSLB. Controls of RFdust may be linked to seasonal meteorology and drought conditions, but drivers remain uncertain. Further understanding of the distribution and controls of RFdust in the GSLB during changing climate and weather patterns may allow us to predict snowmelt more accurately.