bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tyre rubber exposure causes oxidative stress and intracellular damage in the Baltic clam (Macoma balthica)
Authors: Näkki Pinja , Ahvo Aino , Turja Raisa , Sainio Erika , Koistinen Arto , Hartikainen Samuel , Peräniemi Sirpa , Stankevičiūtė Milda , Pažusienė Janina , Lehtonen Kari K. , Setälä Outi , Lehtiniemi Maiju 
Published: January 2025

Abstract
Car tyres are considered to release a substantial amount of particles to the environment. Due to the high emission volumes and the chemical risks associated with tyre rubber, there is an urgent need to quantify their ecotoxicological effects. The effects of exposure to particles derived from end-of-life tyres were investigated on the Baltic clam (Macoma balthica), which is one of the key invertebrate species living in the soft-bottom sediments of the northern Baltic Sea. Tyre rubber particles (10–188 µm) were added to the aquaria in an environmentally relevant concentration (1.08 g per kg dry sediment), and the clams had either direct or indirect contact to the particles for 5 and 29 days. The effects of exposure were studied by applying a battery of biomarkers and cell ultrastructure examination of clam tissues, and the concentrations of selected polycyclic aromatic hydrocarbons and trace metals originating from tyre rubber were quantified from the exposure water and clam tissues. The exposure did not affect the mortality of the clams but induced multiple sublethal responses, including an elevated glutathione S-transferase activity, a reduction in the activity of superoxide dismutase, and increased oxygen radical absorbance capacity during the prolonged exposure. Macromolecular damage was indicated by elevated cytogenetic damage and ultrastructural changes in mitochondria and lysosomes. The results demonstrate the potential of environmentally relevant concentrations of tyre rubber particles to disturb the health of marine biota and underline their importance as a yet understudied environmental contaminant.
Possibilities of native endophytic fungi as entomopathogenic biocontrol agents at a local scale: the case of deciduous and non-deciduous Mediterranean forest trees
Authors: Benito-Delgado Álvaro , Diez-Hermano Sergio , Diez Julio Javier 
Published: January 2025

Abstract
Tree endophytic fungi play an important role in reducing insect herbivory, either by repelling them or killing them directly. Identifying which fungi show such activity could lead to new environmentally friendly pesticides. In this study, the Mediterranean basin climate conditions are projected to harshen in the next decades, will increase vulnerability of tree species to pest invasions. Endophytic fungi were isolated from wood and leaves of Quercus pyrenaica, Q. ilex and Q. suber and tested for virulence against adults of the mealworm beetle, Tenebrio molitor L. using a direct contact method. Only 3 of 111 sporulating isolates had entomopathogenic activity, all identified as Lecanicillium lecanii. The pathogenicity of L. lecanii on T. molitor resulted in a median lethal time (TL50) of 14–16 d. Compared with commercial products, L. lecanii caused faster insect death than the nematode Steinernema carpocapsae and nuclear polyhedrosis virus (no effect on T. molitor survival), and slower than Beauveria bassiana (TL50 = 5), Beauveria pseudobassiana (TL50 = 8d) and Bacillus thuriengensis (80% mortality first day after inoculation). Mortality was also accelerated under water stress, reducing TL50 by an additional 33%. Remarkably, water stress alone had a comparable effect on mortality to that of L. lecanii isolates. This study confirms T. molitor as a good model insect for pathogenicity testing and agrees with management policies proposed in the EU Green Deal.

Graphical abstract
Artificial intelligence (AI) for good? Enabling organizational change towards sustainability
Authors: Schwaeke Julia , Gerlich Carolin , Nguyen Hong Linh , Kanbach Dominik K. , Gast Johanna 
Published: January 2025

Abstract
Artificial intelligence (AI) is increasingly being recognized as a critical tool when it comes to addressing the most pressing challenges facing modern industries, including the pursuit of sustainability. The use of AI is aiding businesses in navigating corporate sustainability challenges, but existing research lacks a comprehensive exploration of how corporations leverage AI to boost their sustainability. By exploiting an inductive concept-development approach and incorporating data from 24 companies, this study provides valuable insights into the role that AI plays in shaping organizational sustainability strategies, identifying operational enablement and technical capacity as key drivers of AI adoption for corporate sustainability. These drivers are incorporated into the technology, organization, and environment (TOE) framework alongside the strategic steps and capabilities necessary for organizations to effectively adopt and implement AI in the development of their sustainability strategies. Ultimately, this study proposes an integrative model for sustainability-oriented AI adoption that emphasizes the importance of aligning AI initiatives with organizations’ sustainability objectives in order to maintain a competitive advantage and drive progress. Correspondingly, it underscores the need for robust data management, system integration, and continual performance monitoring to reduce resistance to AI adoption allowing for the potential of AI to be fully harnessed in pursuit of sustainability. Furthermore, this study offers practical guidance by exploring the direct and indirect use cases of AI in corporate sustainability. The study concludes by highlighting potential avenues for future research in this evolving field.
Filipino Migrant and Returnee Nurses Resisting and Adapting to the Pressures of Becoming “Ideal Migrants”
Authors: Spiliopoulos Georgia , Cuban Sondra 
Published: January 2025

Abstract
This paper scrutinizes the desirability and feasibility of return migration for Filipino male and female nurses, while considering “turning points”, factors such as natural disasters, here supertyphoon “Yolanda” or “Haiyan”, and/or family crises and changes in the family structure, which affect the migration trajectory. The Philippines has a long history of outward migration, more recently of female workers employed in the healthcare and domestic sectors: this longstanding phenomenon being encouraged by a “sophisticated infrastructure” which expects surplus workers to become “ideal migrants” — that is, compliant and aspirational. We take an intersectionality approach, considering gender, race, ethnicity, and other social divisions which place migrant and returnee nurses in (dis)advantageous positions, in order to explore the nurses’ own strategies of resistance and adaptation towards becoming “ideal” workers and sustaining the “ideal migrant” trajectory of upward social mobility. While the participants of this study had varied reactions towards the feasibility of permanent return, this paper offers policy recommendations on supporting the reintegration of returnee migrant nurses, providing a more nuanced understanding of circular and return nurse migration, and that of nurses’ negotiations and agency towards navigating their own and others’ expectations of being “ideal” migrants.
The link between bullying victimization and mental well-being: Self-compassion and emotional flexibility as mediators among adolescents
Authors: İme Yakup 
Published: January 2025

Abstract
Bullying victimization poses a potential threat to the mental well-being of adolescents. Existing literature indicates correlations between bullying victimization, self-compassion, emotional flexibility, and mental well-being. However, further exploration of these connections is warranted. This study seeks to investigate the mediating roles of self-compassion and emotional flexibility in the association between bullying victimization and mental well-being among adolescents. The study involved 1120 high school adolescents, comprising 669 boys (59.7%) and 451 girls (40.3%). The results indicated a significant negative relationship between bullying victimization and mental well-being. Moreover, self-compassion and emotional flexibility were found to mediate the relationship between bullying victimization and mental well-being. These mediation roles imply that self-compassion and emotional flexibility may act as buffering mechanisms. Mental well-being levels of adolescents exposed to bullying victimization decrease. On the other hand, self-compassion and emotional flexibility may increase adolescents’ mental well-being. Developing self-compassion and emotional flexibility skills in adolescents exposed to bullying can be effective intervention methods for improving their mental well-being.
Investigating stone materials from some European cultural heritage sites for predicting future decay
Authors: Coletti Chiara , Antonelli Fabrizio , Germinario Luigi , Maritan Lara , Piovesan Rebecca , Tesser Elena , Mazzoli Claudio 
Published: January 2025

Abstract
The preservation of Europe’s stone-built heritage is crucial for safeguarding our cultural legacy. This study investigates twelve distinct stones used in historical monuments across Italy, Spain, Greece, and Norway, including marbles (Carrara and Macael), limestones (Botticino, Red Verona, Costozza, Istrian, Sfouggaria, Santa Pudia), a carbonate-dominated sandstone (Lartios), volcanic rocks (Euganean trachyte and Tønsberg latite), and an intrusive igneous rock (Tønsbergite). Through comprehensive analysis of mineralogical composition, porosity, water interactions, and accelerated ageing tests, this research establishes a framework for assessing these materials susceptibility to decay mechanisms. The results demonstrate significant variability in durability and decay response among the stone types, primarily determined by pore abundance and distribution. This study enhances the understanding of stone materials behaviour under stressed conditions, offering valuable insights for mitigating future decay processes and protecting European cultural heritage. The stones examined were chosen for their significant presence at the four pilot sites of the European Hyperion project: Venice (Italy), Granada (Spain), Rhodes (Greece), and Tønsberg (Norway).

Graphic abstract
Vision-language model-based human-robot collaboration for smart manufacturing: A state-of-the-art survey
Authors: Fan Junming , Yin Yue , Wang Tian , Dong Wenhang , Zheng Pai , Wang Lihui 
Published: January 2025

Abstract
human-robot collaboration (HRC) is set to transform the manufacturing paradigm by leveraging the strengths of human flexibility and robot precision. The recent breakthrough of Large Language Models (LLMs) and Vision-Language Models (VLMs) has motivated the preliminary explorations and adoptions of these models in the smart manufacturing field. However, despite the considerable amount of effort, existing research mainly focused on individual components without a comprehensive perspective to address the full potential of VLMs, especially for HRC in smart manufacturing scenarios. To fill the gap, this work offers a systematic review of the latest advancements and applications of VLMs in HRC for smart manufacturing, which covers the fundamental architectures and pretraining methodologies of LLMs and VLMs, their applications in robotic task planning, navigation, and manipulation, and role in enhancing human–robot skill transfer through multimodal data integration. Lastly, the paper discusses current limitations and future research directions in VLM-based HRC, highlighting the trend in fully realizing the potential of these technologies for smart manufacturing.
Organic Phosphorus in the Terrestrial Environment: an Update on Current Research and Future Directions
Authors: Lucas Emileigh R. , Nguyen Nhiem D. , Celi Luisella , Condron Leo M. , Fraser Tandra D. , George Timothy S. , de La Luz Mora María , Raymond Nelly S. 
Published: January 2025

Abstract
In 2016, a group of experts convened to set priorities for organic phosphorus (P) research, addressing global issues, methodological strengths and weaknesses, and the benefits of understanding the organic P cycle. Seven years later, scientists and students with an interest in organic P reconvened to discuss progress and new insights, and this review highlights recent major research updates. Interest in organic P research has increased since 2016, and new priorities have emerged, including the impact of climate change on organic P, the influence of geopolitical crises on P supplies, and the adoption of sustainable practices like regenerative agriculture. Climate change was a central theme in the 2023 discussions, with an increased emphasis on integrating P and especially organic P into climate change research, which has traditionally focused more on carbon (C) and nitrogen (N). The discussions highlighted disparities in accessing analytical equipment globally, and its consequent impact on research quality and scope. To address these issues, coordinated efforts involving the research community, government policies, and international cooperation are needed, much the same as we see with the climate and biodiversity crises. Promoting sustainable agricultural practices, investing in soil health, and enhancing education and extension services are crucial. Future research should focus on standardizing analytical methods, integrating nutrient balance into models, and exploring soil-microbiome-plant interactions. Regular and intedisciplinary workshops, social media engagement, and the establishment of research networks are recommended to maintain momentum in organic P research. Raising public and stakeholder awareness about the importance of organic P is essential for advancing knowledge in this area.
Bioethical and critical consciousness in clinical translational neuroscience
Authors: Fang Angela , Anderson Riana Elyse , Carter Sierra , Eckstrand Kristen , Hsu Kean J. , Jones Shawn , Kryza-Lacombe Maria , Peckham Andrew , Siegle Greg J. , Uddin Lucina Q. , Weierich Mariann , Woody Mary L. , Illes Judy 
Published: January 2025

Abstract
Clinical translational neuroscience (CTN) is positioned to generate novel discoveries for advancing treatments for mental health disorders, but it is held back today by the siloing of bioethical considerations from critical consciousness. In this article, we suggest that bioethical and critical consciousness can be paired to intersect with structures of power within which science and clinical practice are conducted. We examine barriers to the adoption of neuroscience findings in mental health from this perspective, especially in the context of current collective attention to widespread disparities in the access to and outcomes of mental health services, lack of representation of marginalized populations in the relevant sectors of the workforce, and the importance of knowledge that draws upon multicultural perspectives. We provide 10 actionable solutions to confront these barriers in CTN research, as informed by existing frameworks such as structural competency, adaptive calibration models, and community-based participatory research. By integrating critical consciousness with bioethical considerations, we believe that practitioners will be better positioned to benefit from cutting-edge research in the biological and social sciences than in the past, alert to biases and equipped to mitigate them, and poised to shepherd in a robust generation of future translational therapies and practitioners.
Collaborating with and enabling diverse communities to address health inequities: The experiences of a community engagement and outreach team
Authors: Serafica Reimund , Evangelista Lorraine S. , Ward Tony , Peterson Jeffery , Guerrero Lopez Joseph , Lucero Julie , Erdei Esther , Braun Kathryn L. , Bersamin Andrea , Thomas Jenifer , Wulfhorst J.D. , Jorcyk Cheryl , Palacios Rebecca , Owens-Manley Judith , Fore Elizabeth , Bertagnolli Ann , Bellon Chelsea , Sy Francisco S. 
Published: January 2025

Abstract
The Mountain West Clinical and Translational Infrastructure Network Community Engagement and Outreach (CEO) Core has fostered academic-community engagement since 2018. States historically receiving lower levels of NIH funding are characterized by significantly higher proportions of rural and remote populations, as well as uniquely elevated percentages of Native American/Alaska Native and Native Hawaiian/Pacific Islander populations compared to most other states. This case study highlights the Core’s efforts in advancing community-engaged research. Key initiatives included forming a CEO Core Steering Committee to recruit interdisciplinary investigators, establishing regional community advisory boards to identify research priorities, and creating a Resource Library and Training Portal for stakeholders. The Core also collaborated with other Cores to provide training, mentorship, and funding for community-engaged research. Despite these achievements, geographical and cultural diversity presented engagement challenges. Regular meetings between investigators and stakeholders ensured bidirectional communication and aligned goals. The Core transformed transactional engagement into meaningful collaboration, emphasizing the need for interdisciplinary teams who understand community needs. Future goals include training academic teams, clinical providers, and community members, empowering early-stage investigators to share findings with partners, leveraging health records for research, and developing strategies to protect investigators’ time.
Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources
Authors: Willard Jared D. , Varadharajan Charuleka , Jia Xiaowei , Kumar Vipin 
Published: January 2025

Abstract
Prediction of dynamic environmental variables in unmonitored sites remains a long-standing challenge for water resources science. The majority of the world’s freshwater resources have inadequate monitoring of critical environmental variables needed for management. Yet, the need to have widespread predictions of hydrological variables such as river flow and water quality has become increasingly urgent due to climate and land use change over the past decades, and their associated impacts on water resources. Modern machine learning methods increasingly outperform their process-based and empirical model counterparts for hydrologic time series prediction with their ability to extract information from large, diverse data sets. We review relevant state-of-the art applications of machine learning for streamflow, water quality, and other water resources prediction and discuss opportunities to improve the use of machine learning with emerging methods for incorporating watershed characteristics and process knowledge into classical, deep learning, and transfer learning methodologies. The analysis here suggests most prior efforts have been focused on deep learning frameworks built on many sites for predictions at daily time scales in the United States, but that comparisons between different classes of machine learning methods are few and inadequate. We identify several open questions for time series predictions in unmonitored sites that include incorporating dynamic inputs and site characteristics, mechanistic understanding and spatial context, and explainable AI techniques in modern machine learning frameworks.
Making Indigenous employment everyone’s business: Indigenous employment and retention in non-Indigenous-owned businesses
Authors: Eva Christian , Bodle Kerry , Foley Dennis , Hunter Boyd Hamilton , Shirodkar Siddharth 
Published: January 2025

Abstract
Indigenous employment has attracted an increasing focus in recent decades from policy-makers, in the context of the gap between national rates of Indigenous and non-Indigenous employment. Non-Indigenous businesses are implementing a series of workplace and recruitment policies to enhance their rates of Indigenous employment, yet there is limited research demonstrating the impact of these policies. This paper uses primary survey data from a representative sample of Australian-based non-Indigenous-owned businesses to detail how Indigenous-focused workplace and recruitment practices are associated with Indigenous employment and retention. Descriptive analysis reveals that businesses with a workforce with 3.8% or more Indigenous employees (3.8% being the most recent Indigenous population proportion estimate) are more likely to maintain a series of Indigenous-specific workplace and recruitment practices, including celebrating NAIDOC, having a Reconciliation Action Plan (RAP), and cultural competency training, compared to businesses with fewer than 3.8% Indigenous employees. Businesses with higher Indigenous employee retention rates similarly demonstrate a higher likelihood to maintain these policies; however, the clearest delineation for businesses with 3.8% or more Indigenous employment and high Indigenous staff retention, is the presence of Indigenous management within these businesses. Revealingly, probit regression models demonstrate that Indigenous manager/s in a business are associated with a 50–60% higher probability of maintaining an Indigenous employment rate of 3.8% or above and an 11–16% lower probability of having poor Indigenous staff retention. Therefore, this paper reveals the importance of having Indigenous people in positions of organisational influence within non-Indigenous organisations, more so than implementing isolated workplace strategies.
Historically Drowning Othered Voices with a Few Waves
Authors: Rodrigues Laís 
Published: January 2025

Abstract
The purpose of this paper is to problematize how the wave narrative maintains and reinforces the hegemony of Western-dominant feminisms while silencing, excluding, appropriating, and/or diluting Othered feminisms and gender-related perspectives. As Western-dominant feminist historicizations travel to the wave narrative, they become the points of reference to all, while Othered historicizations are either erased or Westernized and whitewashed as they travel to the wave narrative. First, to present these problematizations, I will articulate with Edward Said’s travelling theories, Santiago Castro-Gómez’s zero-point hubris, and Linda Alcoff’s speaking for the other. Secondly, I will argue the wave narrative is embedded in Western myths that reinforce its supremacy, including the myths of: (i) true-universal feminisms; (ii) neutral locus of enunciation; (iii) linear-progressive feminist historicization; and (iv) white feminist savior. Finally, I seek to contribute with the theoretical perspectives presented in this paper by focusing on: (1) the importance of understanding from-to/how-by theories and historicizations travel; (2) how Othered epistemologies are located, according to zero-point hubris logics, within hyper-surveilled points of no-observation; and (3) how the dilution and appropriation of Othered stories and epistemologies by Western-dominant feminisms is not simply speaking for Others, but speaking above Others.
The political drivers of antipoverty policy in Italy: persistence, change and reversals
Authors: Mulè Rosa , Toso Stefano 
Published: January 2025

Abstract
This article analyses the political determinants of antipoverty policy in Italy between 1948 and 2022, providing a long-term analysis of the Italian minimum income scheme. We look for an explanation of that evolution drawing on three theoretical perspectives: veto players, gradual institutional change, and party competition. Our methodology is process tracing which involves the examination of ‘diagnostic’ pieces of evidence for our broad political-historical analysis. We argue that the so called ‘neglect’ phase until 1992 can be explained by the veto players theory, the period after 1992 by gradual institutional change, whereas the final introduction of a minimum income scheme in 2018 is the result of competitive dynamics. The main lesson is that a case study analysis of the politics of anti-poverty policy offers fresh insights into a major challenge in capitalist systems, combating rising poverty trends.