bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resilient responses to the massive influx of forced migrants: A case study of medium‐sized cities in Poland
Authors: Pachocka Marta , Lewandowski Arkadiusz , Nowosielski Michał , Popławska Joanna Zuzanna , Wach Dominik 
Published: January 2025

AbstractThe full‐scale aggression against Ukraine on 24 February 2022 caused an unprecedented humanitarian crisis. In Poland, most forced migrants settled in urban areas, turning cities into unique proving grounds for humanitarian assistance and testing their resilience capabilities. We explore this phenomenon using the case study of three medium‐sized cities with particular attention to the roles of and relationships between local actors (local governments, civil society, and local businesses and universities). Our analysis of urban responses is grounded in theories of social resilience and multi‐level governance (MLG). We argue that there are similarities in how medium‐sized cities responded to the challenges posed by a massive refugee influx. We also contend that their responses were different from those of large cities as a result of their limited experience in receiving migrants, their less diverse and specialised actor base, and the more limited capitals at their disposal. The article is based on primary (30 semi‐structured IDIs and participant observation) and secondary data.
Association Between Patient Safety Culture and Missed Nursing Care in Healthcare Settings: A Systematic Review and Meta‐Analysis
Authors: Labrague Leodoro J. , Cayaban Arcalyd Rose 
Published: January 2025

ABSTRACTAimTo appraise and synthesise existing research on the relationship between patient safety culture and missed nursing care.DesignSystematic review and meta‐analysis.MethodsPeer‐reviewed articles published from 2010 onwards were searched from five databases (CINAHL, ProQuest, PubMed, ScienceDirect and Web of Science). A total of nine studies were identified. Among these, seven studies with a combined sample size of 1661 participants were included in the meta‐analysis.ResultsThe meta‐analysis revealed a significant negative correlation between overall patient safety culture and missed nursing care, with a pooled correlation coefficient of −0.205 (95% CI: −0.251 to −0.158) (p < 0.001). Heterogeneity was low to moderate (I2 = 13.18%, 95% CI: 0.00 to 78.60), and publication bias tests indicated no significant bias (Egger's test p = 0.0603; Begg's test p = 0.3476).ConclusionThe findings underscore a significant inverse relationship between patient safety culture and missed nursing care, highlighting the specific predictive roles of management support, organisational learning and unit‐level safety culture. Enhancing patient safety culture within healthcare organisations can be a strategic approach to mitigate missed nursing care.ImpactNursing leaders and administrators should prioritise fostering a safety‐oriented culture through targeted interventions, continuous education and supportive policies to improve patient care outcomes.Reporting MethodPreferred reporting items for systematic reviews and meta‐analyses (PRISMA) guidelines.Patient or Public ContributionNo patient or public contribution.
Research Progress on Quality Characteristics of Yoghurt and Its Fermentation Enhancement Technology: A Review
Authors: Zhang Shengqi , Niu Shizhen , Wu Minquan , Li Hongliang , Yang Chang , Liu Chunyang , Dai Chunhua , He Ronghai , Xu Yujia 
Published: January 2025

ABSTRACTYoghurt is a popular nutrient‐rich food consumed worldwide. It is a functional food, and thus, has many health benefits. As a consequence, its consumer‐market is gradually expanding. However, the production of yoghurt is associated with several problems such as post‐acidification, heat treatment, flavor, cost and technical barriers. To overcome such challenges, various fortification approaches such as the addition of probiotics and prebiotics (as biofortification methods), additives and nutrients (as chemical fortification methods) have been applied. Besides, ultrasound‐assisted or high‐pressure homogenization‐assisted fermentation have been utilized to improve the rheological, textural, flavor and nutritional attributes of yoghurt. This review summarizes the current production processes of yoghurt and their shortcomings, with an emphasis on innovative fermentation fortification techniques.
Endogenous Ethanol Production in the Human Alimentary Tract: A Literature Review
Authors: Stamation Renee 
Published: January 2025

ABSTRACTEndogenous ethanol production, or auto‐brewery syndrome (ABS), is a rare condition of the human alimentary canal that results in intoxication without alcohol consumption. Despite its clinical significance, ABS remains largely undiagnosed because of a lack of awareness among clinicians. Published cases have reported extensive biopsychosocial comorbidities accompanying delayed diagnosis and incomplete management; these include social rejection and family separation, court‐ordered alcohol rehabilitation and psychiatric admission, legal and employment ramifications, and deteriorating mental health and suicidality. In this mini review, we aim to educate and enlighten clinicians by discussing literature findings pertaining to the pathophysiological mechanisms of gut dysbiosis due to overgrowth of Saccharomyces cerevisiae, E. coli and Klebsiella, impaired intestinal barrier function, and dysregulation of the hypothalamic–pituitary–adrenal axis. Furthermore, we discuss recently discovered associations with sleep quality and mood disorders and explore the medical sequelae of metabolic dysfunction‐associated fatty liver disease and metabolic dysfunction‐associated steatohepatitis. Drawing on these data, we propose protocols for initial care in the emergency room, subsequent critical care, diagnostic testing with glucose challenge testing, and definitive microbiological testing during the acute phase of illness. We also present an empirical treatment outline while awaiting confirmation of causative organisms and sensitivities.
Regulatory and retrograde signaling networks in the chlorophyll biosynthetic pathway
Authors: Li Yuhong , Cao Tianjun , Guo Yunling , Grimm Bernhard , Li Xiaobo , Duanmu Deqiang , Lin Rongcheng 
Published: January 2025

ABSTRACTPlants, algae and photosynthetic bacteria convert light into chemical energy by means of photosynthesis, thus providing food and energy for most organisms on Earth. Photosynthetic pigments, including chlorophylls (Chls) and carotenoids, are essential components that absorb the light energy necessary to drive electron transport in photosynthesis. The biosynthesis of Chl shares several steps in common with the biosynthesis of other tetrapyrroles, including siroheme, heme and phycobilins. Given that many tetrapyrrole precursors possess photo‐oxidative properties that are deleterious to macromolecules and can lead to cell death, tetrapyrrole biosynthesis (TBS) requires stringent regulation under various developmental and environmental conditions. Thanks to decades of research on model plants and algae, we now have a deeper understanding of the regulatory mechanisms that underlie Chl synthesis, including (i) the many factors that control the activity and stability of TBS enzymes, (ii) the transcriptional and post‐translational regulation of the TBS pathway, and (iii) the complex roles of tetrapyrrole‐mediated retrograde signaling from chloroplasts to the cytoplasm and the nucleus. Based on these new findings, Chls and their derivatives will find broad applications in synthetic biology and agriculture in the future.
Relationships for Social Change: The Value of the Promotora Framework in Navigating Systems of Employment
Authors: Abraham Danna , Distelberg Brian , Ewing Jan , Lister Zephon , Lopez‐Bradley Lena , Ochoa Sandra 
Published: January 2025

ABSTRACTIn the United States, socioeconomic disparities are a reality that shapes the challenges many communities of color experience. Throughout the globe, community‐based initiatives have been explored as a way to reduce several barriers that contribute to social inequalities. One in particular, the Promotora framework, has been widely used to improve health outcomes. However, it has yet to be explored to maximize socioeconomic opportunities. The Launch Program, a pre‐COVID‐19 pilot study, aimed to investigate the experiences of LatinX people in one of the first community programs designed to offer a Promotora‐led intervention supporting socioeconomic goals. Researchers collected qualitative data via focus groups from 25 LatinX participants who completed the program. Using narrative thematic analysis, the study explored the potential of a liberatory framework to address employment barriers. Results from this study highlight the benefits of adopting a culturally responsive intervention as a valuable tool in reducing socioeconomic disparities within LatinX populations.
Automation of Ultrasonographic Optic Nerve Sheath Diameter Measurement: A Scoping Review
Authors: Escamilla‐Ocañas César E. , Morales‐Cardona Noelia C. , Sagreiya Hersh , Akhbardeh Alireza , Hirzallah Mohammad I. 
Published: January 2025

ABSTRACTIntracranial pressure (ICP) monitoring is a cornerstone of neurocritical care in managing severe brain injury. However, current invasive ICP monitoring methods carry significant risks, including infection and intracranial hemorrhage, and are contraindicated in certain clinical situations. Additionally, these methods are not universally available. Optic nerve sheath diameter (ONSD) measurement presents a promising noninvasive alternative for ICP monitoring, though its clinical adoption has been limited due to its operator dependence and inconsistencies in imaging acquisition and measurement techniques. Automating both ONSD image acquisition and measurement could enhance accuracy and reliability, thereby improving its utility as a noninvasive ICP estimation tool. A range of image analysis and machine learning (ML) techniques have been applied to address these challenges. In this paper, we provide a narrative review of the current literature on ONSD automation, examining the strengths and limitations of classical image analysis and ML models in improving ONSD‐based ICP assessment.
Asynchronous shifts in the demographics of two wave‐swept kelp species (Laminariales) after nearly four decades
Authors: Starko Samuel , Allchurch Alyssa , Neufeld Christopher 
Published: January 2025

AbstractKelp forests are among the most abundant and productive marine ecosystems but are under threat from climate change and other anthropogenic stressors. Although knowledge is growing about how the abundance and distribution of kelp forests are changing, much less is known about the “non‐lethal” effects that global change is having on the performance and health of kelp populations in areas where they persist. Here we assessed the age distribution of two common stipitate kelp species, Laminaria setchelli and Pterygophora californica, at Wizard Islet in Barkley Sound, British Columbia, Canada, and compared these data to historical demographic data collected by De Wreede (1984) and Klinger and DeWreede (1988) from the same site between 1981 and 1983. We observed that L. setchelli populations in 2020 were younger and less evenly aged than the same populations sampled nearly four decades prior, while the P. californica population was composed of older individuals on average than at the historical time point. Although the drivers of these demographic changes remain unclear, Barkley Sound has experienced substantial changes in the physical and biological environment over the past decade that could be responsible for these patterns. Given that the size of an individual and its probability of reproduction increases with age, shifting demographics may impact the reproductive output of each population, potentially altering the competitive relationships between co‐occurring species. Changes in size distribution may also influence ecosystem‐level processes such as habitat complexity or productivity.
Drug‐Induced Liver Injury Associated With Emerging Cancer Therapies
Authors: Chodup Piotr , Samodelov Sophia L. , Visentin Michele , Kullak‐Ublick Gerd A. 
Published: January 2025

ABSTRACTTargeted therapies and immunotherapies have shown great promise as best‐in‐class treatments for several cancers with respect to efficacy and safety. While liver test abnormalities are rather common in patients treated with kinase inhibitors or immunotherapy, events of severe hepatotoxicity in these patients are rare in comparison with those associated with chemotherapeutics. The underlying mechanisms and risk factors for severe hepatotoxicity with novel oncology therapies are not well understood, complicating the drug‐induced liver injury (DILI) risk assessment in the preclinical and clinical phases of drug development. The epidemiological and clinical characteristics, as well as mechanisms of liver toxicity, are described here to the current state of knowledge. Tools to study and assess the risk of DILI during drug development are concisely summarised, focusing on caveats thereof for novel oncology treatments. Emerging tools to optimise safety assessments and gather additional mechanistic insights into DILI are introduced. Particularly in oncology, where standard liver signals during drug development are tolerated to a marginally higher degree than in other indications due to the life‐saving, life‐extending and quality‐of‐life improvements for patients with severe or advanced cancers versus previous standard‐of‐care therapeutics, safety assessments must be tailored to the drug and indication. Trends in patient safety‐centred drug development programmes and regulatory approval processes must continually be revisited and streamlined via obtaining an overall greater understanding of DILI and the tools available to assess mechanisms of injury, frequency, severity and prognosis.
Dynamic Outlier Slicing Allows Broader Exploration of Adaptive Divergence: A Comparison of Individual Genome and Pool‐Seq Data Linked to Humic Adaptation in Perch
Authors: López María‐Eugenia , Ozerov Mikhail , Pukk Lilian , Noreikiene Kristina , Gross Riho , Vasemägi Anti 
Published: January 2025

ABSTRACTHow genetic variation contributes to adaptation at different environments is a central focus in evolutionary biology. However, most free‐living species still lack a comprehensive understanding of the primary molecular mechanisms of adaptation. Here, we characterised the targets of selection associated with drastically different aquatic environments—humic and clear water—in the common freshwater fish, Eurasian perch (Perca fluviatilis). By using whole‐genome sequencing (WGS) on a large population dataset (n = 42 populations) and analysing 873,788 SNPs, our primary aim was to uncover novel and confirm known footprints of selection. We compared individual and pooled WGS, and developed a novel approach, termed dynamic outlier slicing, to assess how the choice of outlier‐calling stringency influences functional and Gene Ontology (GO) enrichment. By integrating genome‐environment association (GEA) analysis with allele frequency‐based approaches, we estimated composite selection signals (CSS) and identified 2679 outlier SNPs distributed across 324 genomic regions, involving 468 genes. Dynamic outlier slicing identified robust enrichment signals in five annotation categories (upstream, downstream, synonymous, 5′UTR and 3′UTR) highlighting the crucial role of regulatory elements in adaptive evolution. Furthermore, GO analyses revealed strong enrichment of molecular functions associated with gated channel activity, transmembrane transporter activity and ion channel activity, emphasising the importance of osmoregulation and ion balance maintenance. Our findings demonstrate that despite substantial random drift and divergence, WGS of high number of population pools enabled the identification of strong selection signals associated with adaptation to both humic and clear water environments, providing robust evidence of widespread adaptation. We anticipate that the dynamic outlier slicing method we developed will enable a more thorough exploration of adaptive divergence across a diverse range of species.
Enhanced three‐dimensional instance segmentation using multi‐feature extracting point cloud neural network
Authors: Wang Hongxu , Liu Jiepeng , Li Dongsheng , Chen Tianze , Liu Pengkun , Yan Han , Wu Yadong 
Published: January 2025

AbstractPrecise three‐dimensional (3D) instance segmentation of indoor scenes plays a critical role in civil engineering, including reverse engineering, size detection, and advanced structural analysis. However, existing methods often fall short in accurately segmenting complex indoor environments due to challenges of diverse material textures, irregular object shapes, and inadequate datasets. To address these limitations, this paper introduces StructNet3D, a point cloud neural network specifically designed for instance segmentation in indoor components including ceilings, floors, and walls. StructNet3D employs a novel multi‐scale 3D U‐Net backbone integrated with ArchExtract, which designed to capture both global context and local structural details, enabling precise segmentation of diverse indoor environments. Compared to other methods, StructNet3D achieved an AP50 of 87.7 on the proprietary dataset and 68.6 on the S3DIS dataset, demonstrating its effectiveness in accurately segmenting and classifying major structural components within diverse indoor environments.
Decoding Plant–Pathogen Interactions: A Comprehensive Exploration of Effector–Plant Transcription Factor Dynamics
Authors: Xiang Hui , Stojilkovic Boris , Gheysen Godelieve 
Published: January 2025

ABSTRACTIn the coevolutionary process between plant pathogens and hosts, pathogen effectors, primarily proteinaceous, engage in interactions with host proteins, such as plant transcription factors (TFs), during the infection process. This review delves into the intricate interplay between TFs and effectors, a key aspect in the prolonged and complex battle between plants and pathogens. Effectors strategically manipulate TFs using diverse tactics. These include modulating activity of TFs, influencing their incorporation into multimeric complexes, directly changing TF expression levels, promoting their degradation via the ubiquitin‐proteasome system, and inducing their subcellular relocalization. The review systematically presents documented interactions, elucidating key mechanisms and their profound impact on host–pathogen dynamics. It emphasises the central role of TFs in plant defence and investigates the convergent evolution of effectors targeting TFs. By providing this overview, we offer valuable insights into this dynamic interaction landscape and suggest potential directions for future research.
The Progression of College Student Romantic Relationship Development: Stability and Change Over 10 Years
Authors: Ogolsky Brian G. , Dobson Kiersten , Rivas‐Koehl Matthew , Kawas Ghada , Hardesty Jennifer L. 
Published: January 2025

ABSTRACTRomantic relationships play an important role in mental and physical health. The initiation and progression of these relationships may be particularly relevant to college students, as they experience a period of personal and social growth while presumably away from parental supervision for the first time. However, some of the more prominent models of relationship initiation and progression have not been updated to reflect recent social changes, including technological advances and more general societal trends. In the current research, we use a qualitative approach to examine how college students describe the initiation and progression of romantic relationships. Additionally, we present data from two studies collected a decade apart to examine changes in perceived relationship progression over time. Results revealed four stages of relationship progression (i.e., flirtationship, relationship potential, in a relationship, and commitment or bust) that were consistent across decades, with some minor differences. The contributions of these findings to current theoretical and empirical knowledge on relationship development are discussed, and promising directions for future inquiry are identified.
Lancang‐Mekong Cooperation and policy actors' coalition behavior around hydropower development in the Mekong countries: Testing the impact of coalition opportunity structures
Authors: He Linlang , Wills Kate , Benson Claire , Flaim Amanda 
Published: January 2025

AbstractThe Advocacy Coalition Framework (ACF) literature has long discussed coalition opportunity structures' (COSs) ability to shape the composition, resources, and strategies of coalitions. Yet, more empirical work is needed to understand how COSs explain coalition behavior across political systems. Guided by the ACF, this study uses English newspaper articles from the lower Mekong countries to analyze the composition of coalitions and policy actors' coalition behavior in these countries' hydropower policy subsystem around the establishment of the Lancang‐Mekong Cooperation (LMC), a China‐led initiative for regional governance. Our results reveal significant variations in COSs across the countries we studied. These variations in COSs help explain some of the observed differences in the composition of coalitions and non‐state actors' coalition strategies across these countries. Moreover, despite operating within authoritarian regimes with generally restrictive COSs, members of various advocacy coalitions actively adjust their short‐term coordination networks following LMC's establishment. Our study contributes to the thin literature on COSs' utility in explaining coalition behavior and enriches ACF's application in non‐democratic political systems. Our study also helps understand the influence of subregional collaborative frameworks on hydropower development in the Mekong region.
On a Sampling-Based Method for Multi-Objective Robust Optimization
Authors: Jordan Elizabeth , Chatterjee Arko , Yang Ruochen , Groth Katrina , Azarm Shapour 
Published: January 2025

Abstract
Many engineering design optimization problems are multi-objective, constrained, and contain uncertain parameters. For these problems, it is desirable to obtain solutions that are robustly optimum. A robust optimal solution is one which remains feasible and optimal despite perturbations in the uncertainty parameters. This article presents a scenario-generation-based method for solving multi-objective robust optimization (MORO) problems. The approach follows a sequential, single-level optimization problem workflow, with the uncertainty handled by a fixed sampling method. The proposed approach is applied to an unmanned surface vessel (USV) case study problem. The results obtained and subsequent performance analysis show that the proposed approach generally performs well.