bluuebunny/crossref_metadata_2025_split huggingface dataset:
WISER: an innovative and efficient method for correcting population structure in omics-based selection and association studies
Authors: Jacquin Laval , Guerra Walter , Lewandowski Mariusz , Patocchi Andrea , Rymenants Marijn , Durel Charles-Eric , Laurens François , Aranzana Maria José , Muranty Hélène 
Published: February 2025

AbstractThis work introduces WISER (whitening and successive least squares estimation refinement), an innovative and efficient method designed to enhance phenotype estimation by addressing population structure. WISER outperforms traditional methods such as least squares (LS) means and best linear unbiased prediction (BLUP) in phenotype estimation, offering a more accurate approach for omics-based selection and association studies. Unlike existing approaches which correct for population structure, WISER offers a generalized framework that can be applied across diverse experimental setups, species, and omics datasets, such as single nucleotide polymorphisms (SNPs), near-infrared spectroscopy (NIRS), and metabolomics. Within its framework, WISER extends classical methods that use eigen-information as fixed-effect covariates to correct for population structure, by relaxing their assumptions and implementing a true whitening matrix instead of a pseudo-whitening matrix. This approach corrects fixed effects (e.g., environmental effects) for the genetic covariance structure embedded within the experimental design, thereby removing confounding factors between fixed and genetic effects. To support its practical application, a user-friendly R package namedwiserhas been developed. The WISER method has been employed in analyses for genomic prediction and heritability estimation across four species and 33 traits using multiple datasets, including rice, maize, apple, and Scots pine. Results indicate that genomic predictive abilities based on WISER-estimated phenotypes consistently outperform the LS-means and BLUP approaches for phenotype estimation, regardless of the predictive model applied. This underscores WISER’s potential to advance omics analyses and related research fields by capturing stronger genetic signals.
PH-LLM: Public Health Large Language Models for Infoveillance
Authors: Zhou Xinyu , Zhou Jiaqi , Wang Chiyu , Xie Qianqian , Ding Kaize , Mao Chengsheng , Liu Yuntian , Cao Zhiyuan , Chu Huangrui , Chen Xi , Xu Hua , Larson Heidi J. , Luo Yuan 
Published: February 2025

SummaryBackgroundThe effectiveness of public health intervention, such as vaccination and social distancing, relies on public support and adherence. Social media has emerged as a critical platform for understanding and fostering public engagement with health interventions. However, the lack of real-time surveillance on public health issues leveraging social media data, particularly during public health emergencies, leads to delayed responses and suboptimal policy adjustments.MethodsTo address this gap, we developed PH-LLM (Public Health Large Language Models for Infoveillance)—a novel suite of large language models (LLMs) specifically designed for real-time public health monitoring. We curated a multilingual training corpus comprising 593,100 instruction-output pairs from 36 datasets, covering 96 public health infoveillance tasks and 6 question-answering datasets based on social media data. PH-LLM was trained using quantized low-rank adapters (QLoRA) and LoRA plus, leveraging Qwen 2.5, which supports 29 languages. The PH-LLM suite includes models of six different sizes: 0.5B, 1.5B, 3B, 7B, 14B, and 32B. To evaluate PH-LLM, we constructed a benchmark comprising 19 English and 20 multilingual public health tasks using 10 social media datasets (totaling 52,158 unseen instruction-output pairs). We compared PH-LLM’s performance against leading open-source models, including Llama-3.1-70B-Instruct, Mistral-Large-Instruct-2407, and Qwen2.5-72B-Instruct, as well as proprietary models such as GPT-4o.FindingsAcross 19 English and 20 multilingual evaluation tasks, PH-LLM consistently outperformed baseline models of similar and larger sizes, including instruction-tuned versions of Qwen2.5, Llama3.1/3.2, Mistral, and bloomz, with PH-LLM-32B achieving the state-of-the-art results. Notably, PH-LLM-14B and PH-LLM-32B surpassed Qwen2.5-72B-Instruct, Llama-3.1-70B-Instruct, Mistral-Large-Instruct-2407, and GPT-4o in both English tasks (>=56.0% vs. <= 52.3%) and multilingual tasks (>=59.6% vs. <= 59.1%). The only exception was PH-LLM-7B, with slightly suboptimal average performance (48.7%) in English tasks compared to Qwen2.5-7B-Instruct (50.7%), although it outperformed GPT-4o mini (46.9%), Mistral-Small-Instruct-2409 (45.8%), Llama-3.1-8B-Instruct (45.4%), and bloomz-7b1-mt (27.9%).InterpretationPH-LLM represents a significant advancement in real-time public health infoveillance, offering state-of-the-art multilingual capabilities and cost-effective solutions for monitoring public sentiment on health issues. By equipping global, national, and local public health agencies with timely insights from social media data, PH-LLM has the potential to enhance rapid response strategies, improve policy-making, and strengthen public health communication during crises and beyond.FundingThis study is supported in part by NIH grants R01LM013337 (YL).
Multi-lineage transcriptional and cell communication signatures define pathways in individuals at-risk for developing rheumatoid arthritis that initiate and perpetuate disease
Authors: Liu Cong , Prideaux E. Barton , Wu Peiyao , Boyle David L , Westermann Amy , Nguyen Katherine , Tsaltskan Vlad , Lazaro Leander , Ochoa Andrea , Deane Kevin D. , Feser Marie L. , Demoruelle M. Kristen , Kuhn Kristine A. , Holers V. Michael , Zhang Fan , Moss Laura Kay , Criley Megan , Hattel Brian , Siedschlag Marguerite , Okada Lauren , Gillespie Mark A. , Genge Palak , Weiss Morgan , Hernandez Veronica , Reading Julian , Becker Lynne , Buckner Jane H. , Speake Cate , Bumol Thomas F. , Skene Peter , Firestein Gary S. , Wang Wei 
Published: February 2025

AbstractElevated anti-citrullinated protein antibodies (ACPA) levels in the peripheral blood are associated with an increased risk for developing rheumatoid arthritis (RA). Currently, no treatments are available that prevent progression to RA in these at-risk individuals. In addition, diverse pathogenic mechanisms underlying a common clinical phenotype in RA complicate therapy as no single agent is universally effective. We propose that a unifying set of transcription factor and their downstream pathways regulate a pro-inflammatory cell communication network, and that this network allows multiple cell types to serve as pathogenic drivers in at-risk individuals and in early RA. To test this hypothesis, we identified ACPA-positive at-risk individuals, patients with early ACPA-positive RA and matched controls. We measured single cell chromatin accessibility and transcriptomic profiles from their peripheral blood mononuclear cells. The datasets were then integrated to define key TF, as well as TF-regulated targets and pathways. A distinctive TF signature was enriched in early RA and at-risk individuals that involved key pathogenic mechanisms in RA, including SUMOylation, RUNX2, YAP1, NOTCH3, and β-Catenin Pathways. Interestingly, this signature was identified in multiple cell types, including T cells, B cells, and monocytes, and the pattern of cell type involvement varied among the at-risk and early RA participants, supporting our hypothesis. Similar patterns of individualized gene expression patterns and cell types were confirmed in single cell studies of RA synovium. Cell communication analysis revealed that the lineages displaying this RA TF signature deliver a common set of pro-inflammatory mediators to receiver cells that subsequently orchestrate rheumatoid inflammation. These cell-type-specific signature pathways could explain the personalized pathogenesis of RA and contribute to the diversity of clinical responses to targeted therapies. Furthermore, these data could provide opportunities for stratifying individuals at-risk for RA, and selecting therapies tailored for prevention or treatment of RA. Overall, this study supports a new paradigm to understand how a common clinical phenotype could arise from diverse pathogenic mechanisms and demonstrates the relevance of peripheral blood cells to synovial disease.
From citizen to scientist: evaluating ant observation accuracy on a Mediterranean archipelago
Authors: Arcos Javier 
Published: February 2025

AbstractCitizen science platforms, such as iNaturalist, have become invaluable tools for biodiversity monitoring, allowing non-experts to contribute photo-based observations that are then identified by the user community. However, one of the major challenges of these platforms concerns the accuracy of these identifications, especially for taxa requiring specialized knowledge or more sophisticated means of identification. In this study, I assess the reliability of ant identifications in the Balearic Islands by comparing community-generated identifications with expert validations across multiple taxonomic levels. Based on 300 iNaturalist observations, I analyze the influence of user experience, AI-generated suggestions, image quality, and community participation on identification accuracy. The results indicate that species-level accuracy was 69.91%, increasing to 90.91% at the genus level and 99% at the family level. Experienced users significantly improved accuracy, while early-stage identifications at finer taxonomic resolutions increased the likelihood of correct consensus. AI-assisted identifications performed well for frequently recorded species but struggled with underrepresented taxa. Surprisingly, photo quality had minimal impact, as common species were often identifiable even from low-resolution images. Additionally, the dataset documented exotic species, including the first record of theFormica rufibarbiscomplex in Mallorca. These findings highlight both the strengths and limitations of citizen science in taxonomic research and emphasize the need for strategies to enhance data reliability for conservation and biodiversity monitoring.
Quiescence modulates age-related changes in the functional capacity of highly proliferative canine lung mesenchymal stromal cell populations
Authors: Agyapong Nakesha , Dominguez-Ortega Leslie , Macdonough Brian , Mulluso Patrick , Patel Sagar , Prajapati Briti , Saville Brian , Shapiro Andrew , Trim Ethan , Battaglia Kara , Herrera Jocelyn , Garifo-MacPartland Gianna , Newcombe Dianne , Okundaye Latoya , Paglia Heather , Paxson Julia 
Published: February 2025

AbstractThe functional capacity of highly proliferative cell populations changes with age. Here, we report that the proliferative capacity of canine lung mesenchymal stromal cells (LMSCs) declines with increasing age of the donor. However, other functional changes such as reduced autophagy, reduced migration/wound healing, increased production of reactive oxygen species, and increased senescence are not significantly altered with increasing age. Furthermore, transcriptomic profiling suggests minimal age-related changes. These data suggest that the reduced proliferative capacity of lung LMSCs isolated from aging donors may be associated with reversible cell cycle arrest (quiescence), rather than irreversible cell cycle arrest (senescence). Similar findings have been reported in other systems, including neural and muscle stem cells that are associated with low turnover-rate tissues.
Neofunctionalized RGF pathways drive haustorial organogenesis in parasitic plants
Authors: Fishman Maxwell R. , Greifenhagen Anne , Wakatake Takanori , Laohavisit Anuphon , Hiroyama Ryoko , Masuda Sachiko , Shibata Arisa , Yoshida Satoko , Shirasu Ken 
Published: February 2025

AbstractParasitic plants initiate rapidde novoorganogenesis of a specialized feeding structure called a haustorium upon contact with their hosts. Currently, little is known about the internal signals regulating haustorium development. Here, we identify root meristem growth factor (RGF) peptides inPhtheirospermum japonicumas endogenous inducers of prehaustorium formation. Treatment with specific RGF peptides in the absence of hosts triggered prehaustoria and induced expression ofPjYUC3, a gene required for auxin biosynthesis and prehaustorium formation. CRISPR-mediated knockouts showed that PjRGFR1 and PjRGFR3, receptors activated by the haustorium specific RGF peptides PjRGF2 and PjRGF5, are essential for prehaustorium formation, revealing functional redundancy. Phylogenic analyses indicate that PjRGF2 is broadly conserved among Orobanchaceae, whereas PjRGF5 appears to have recently evolved through tandem multiplication and neofunctionalization. Our findings establish RGF peptides and their corresponding receptors as critical components of haustorium developmental signaling and provide insights into the evolutionary trajectories that shape plant parasitism.TeaserPlant peptide hormones regulate and induce the parasitic plant specialized organ for connecting to and feeding from the host.
Continuous and widespread population interactions in the Jōmon society via geometric morphometrics on 3D data of human crania
Authors: Nakao Hisashi , Kaneda Akihiro , Tamura Kohei , Noshita Koji , Yoshida Mayu , Nakagawa Tomomi 
Published: February 2025

AbstractThis study examines the morphological variations within and between regional populations via geometric morphometrics of larger samples of three-dimensional data of Jōmon human crania (N= 363, including 146 females, 215 males and two unknown-sex individuals) from 97 sites to investigate the population interactions in the period, which Japanese anthropologists and archaeologists have extensively discussed. The results show that morphological variations are more pronounced within individual populations especially in the principal component one, relating to the facial width, degree of prognathism, and location of occipital areas, in contrast to the relatively smaller variations observed between different phases and geographical regions. This observation is consistent with the possibility that the population interactions of the Jōmon people had been widespread and continuous, and which has an important implication for their resilience against severe climate changes at that time: The relative stability of the Jōmon society might be sustained by their frequent interactions with various populations, as suggested by insights from relevant archaeological, ethnographic, and genetic research.
Exploring integration aspects of school leadership in the context of digitalization and artificial intelligence
Authors: Kafa Antonios 
Published: February 2025

PurposeThe rapid digitalization and emergence of AI tools are transforming school organizations. However, limited research exists on how school leaders integrate these technologies into their leadership practices. This study focuses on the experiences of school leaders in Cyprus, exploring the benefits and challenges of adopting digital and AI tools in their roles. The research seeks to enhance understanding of these topics as they relate to the pandemic aftermath and the current emergence of cutting-edge technologies.Design/methodology/approachA qualitative research approach was used, with semi-structured interviews serving as the primary data collection method. The sample consisted of 43 school leaders from primary and secondary schools across five districts in Cyprus, who voluntarily participated in the study.FindingsThe findings reveal that while digital tools enhance communication and administrative efficiency, challenges associated with poor infrastructure and inadequate targeted training were disclosed. In addition, school leaders acknowledge the potential of AI to support their leadership practice, while also addressing the challenges of integrating these tools due to limited knowledge and understanding, lack of appropriate training and the need of an ongoing support.Practical implicationsThe study emphasizes the need for tailored professional development, better infrastructure and continuous support to help school leaders effectively integrate digital and AI tools into their daily leadership practices.Originality/valueThis research contributes uniquely to the field by focusing on the integration of digital tools, while also exploring, to some extent, perspectives on AI within school leadership in Cyprus, in an area that has been largely underexplored.
Responsible and sustainable tourism (respo-sustainable tourism): a systematic literature review and future agenda
Authors: Dhama Neeru , Anil Kanwal 
Published: February 2025

Purpose
This study aims to present a systematic literature review of the responsible and sustainable tourism and also to examine the relationship between responsible and sustainable tourism.

Design/methodology/approach
In total, 59 articles were used as a sample in this research to extract the methodological trends emanating from them. Subsequently, thematic analysis was undertaken to understand the effectiveness of responsible and sustainable tourism in the current milieu.

Findings
A detailed analysis of responsible tourism and its relation with sustainable tourism has been done, and further suggestions have been discussed to overcome the problem of mass tourism and achieve sustainability.

Originality/value
Sustainable and responsible tourism is the mandate of sustainability concerns in today’s era. This paper helps the stakeholders to perform responsible and sustainable tourism practices after understanding the concept and their relationship in the tourism industry.
Navigating paradoxical tensions in pursuit of sustainable supply chain management: review and guidance for future inquiry
Authors: Cichosz Marzenna , Aluchna Maria , Sońta-Drączkowska Ewa , Knemeyer A. Michael 
Published: February 2025

PurposeOrganizational pursuit of sustainability in multi-tier supply chain systems operating in unpredictable environments is often associated with the emergence of paradoxical tensions. This study aims to summarize and synthesize existing literature on managing various paradoxical tensions in supply chains (i.e. sourcing, making, delivering and reverse logistics) as organizations pursue sustainability transformation. It also strives to motivate new academic research inquiry into developing responses to sustainability paradoxes.Design/methodology/approachThe study draws on a systematic literature review of 73 papers from the Web of Science database selected at the intersection of paradox, sustainability and logistics/ supply chain management (SCM). Applying paradox theory as a guiding lens, we investigate organizational strategies, practices and capabilities described in the literature to navigate sustainability paradoxes in supply chains.FindingsThe results assert that the success of sustainability transformation will depend on an organizational ability to recognize, accept and navigate paradoxical tensions in one's supply chain. This requires developing the dynamic capabilities of paradoxical leadership, strategic agility, innovativeness, collaboration with contextualization and governance. Successful sustainability transformation is not reliant on finding an optimal, final design but rather the continuous balancing of tensions inherent within or across the organizations that make up one's supply chain.Practical implicationsThe research offers an integrative conceptual framework to guide organizations in navigating sustainability paradoxes in supply chains, embracing strategic, practice and capability levels. It also outlines opportunities for future research inquiries connected to this framework that are needed to build additional insight for addressing paradoxical tensions related to the pursuit of sustainable supply chain management.Originality/valueThis study takes a dynamic capabilities approach to navigating paradoxical tensions in pursuit of sustainable supply chain management.
Frontline employee competencies for technologically complex service environments: a conceptual model of mindfulness orientation
Authors: Xie Junyi (Amy) , Olajuwon-Ige Olamide , Ranaweera Chatura , Lee Seonjeong (Ally) , Kumari Vishakha 
Published: February 2025

PurposeTechnological innovations are rapidly transforming service frontlines, resulting in increasingly complex service touchpoints. These touchpoints place greater demands on frontline employees (FLEs) to deliver a positive customer experience. Despite the considerable extant body of knowledge on FLE competencies, the literature on frameworks for managing the complexity of contemporary frontlines from the FLE’s perspective is sparse. This paper aims to fill this critical gap by developing a framework that enables FLEs to deliver positive moments of truth (MOTs) while ensuring the well-being of all actors involved.Design/methodology/approachThis paper uses a conceptual approach rooted in the organizational mindfulness and individual mindfulness literature as the theoretical lens. This is complemented by a comprehensive review of the FLE skills literature supported by marketplace examples to illustrate the optimal use of the said skills.FindingsThis paper proposes a conceptual framework of mindfulness orientation which delineates how FLE competencies underpinned by a set of key skills can deliver positive MOTs and actor well-being.Research limitations/implicationsThe research is conceptual in nature and does not contain validation through empirical data.Practical implicationsThis comprehensive skill set provides a clear roadmap for firms in both recruitment and developing training for their FLEs, thus contributing to practice.Originality/valueFirstly, we present a conceptual framework of mindfulness, combining organizational mindfulness and individual mindfulness that will enable employees to help facilitate the creation of positive MOTs. Secondly, we develop a comprehensive set of employee skills that underpin the mindfulness orientation framework.
Science, technology and innovation (STI) in ASEAN member states – Indonesia, Philippines, Cambodia, Laos, Brunei and Myanmar: a comparative study
Authors: Ravi Ramya , Janodia Manthan D. 
Published: February 2025

Purpose
The purpose of this paper is twofold. First, it aims to furnish empirical evidence on science, technology and innovation governance in the ASEAN Member States (AMS). This is followed by the understanding of the evolution of technology commercialization activities in Indonesia, the Philippines, Cambodia, Laos and Brunei. Second, the study analyzes the activities of academic-industry technology transfer, barriers in the commercialization of research outputs from universities and its implications in the six AMS countries. The criterion to choose these ASEAN countries is to understand the significance of policy implications and technology transfer in the economy of developing nations/low-middle-income nations.

Design/methodology/approach
The qualitative data was retrieved from various secondary and published literature sources. The information from the official ministry website was referred to along with the reports published in various countries.

Findings
The evidence suggests that the nature and extent of technology dissemination are based on policies that are triggered by the primary goals at the national level. The primary goals for supporting science and technology differ in terms of financial budget for stimulating R&D; diffusion of technology transfer; managerial gaps in business; systems for facilitating change; and human resources and intellectual assets. The paper concludes by recommending a few strategies to improve STI among low-middle-income countries among AMS.

Originality/value
This paper is an original contribution, to the best of the authors’ knowledge, on the effectiveness of public policies for academic technology commercialization among low-middle-income countries among AMS.