bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine Learning Algorithms in Controlled Donation After Circulatory Death Under Normothermic Regional Perfusion: A Graft Survival Prediction Model
Authors: Calleja Rafael , Rivera Marcos , Guijo-Rubio David , Hessheimer Amelia J. , de la Rosa Gloria , Gastaca Mikel , Otero Alejandra , Ramírez Pablo , Boscà-Robledo Andrea , Santoyo Julio , Marín Gómez Luis Miguel , Villar del Moral Jesús , Fundora Yiliam , Lladó Laura , Loinaz Carmelo , Jiménez-Garrido Manuel C. , Rodríguez-Laíz Gonzalo , López-Baena José Á. , Charco Ramón , Varo Evaristo , Rotellar Fernando , Alonso Ayaya , Rodríguez-Sanjuan Juan C. , Blanco Gerardo , Nuño Javier , Pacheco David , Coll Elisabeth , Domínguez-Gil Beatriz , Fondevila Constantino , Ayllón María Dolores , Durán Manuel , Ciria Ruben , Gutiérrez Pedro A. , Gómez-Orellana Antonio , Hervás-Martínez César , Briceño Javier 
Published: January 2025

Background.
Several scores have been developed to stratify the risk of graft loss in controlled donation after circulatory death (cDCD). However, their performance is unsatisfactory in the Spanish population, where most cDCD livers are recovered using normothermic regional perfusion (NRP). Consequently, we explored the role of different machine learning-based classifiers as predictive models for graft survival. A risk stratification score integrated with the model of end-stage liver disease score in a donor-recipient (D-R) matching system was developed.

Methods.
This retrospective multicenter cohort study used 539 D-R pairs of cDCD livers recovered with NRP, including 20 donor, recipient, and NRP variables. The following machine learning-based classifiers were evaluated: logistic regression, ridge classifier, support vector classifier, multilayer perceptron, and random forest. The endpoints were the 3- and 12-mo graft survival rates. A 3- and 12-mo risk score was developed using the best model obtained.

Results.
Logistic regression yielded the best performance at 3 mo (area under the receiver operating characteristic curve = 0.82) and 12 mo (area under the receiver operating characteristic curve = 0.83). A D-R matching system was proposed on the basis of the current model of end-stage liver disease score and cDCD-NRP risk score.

Conclusions.
The satisfactory performance of the proposed score within the study population suggests a significant potential to support liver allocation in cDCD-NRP grafts. External validation is challenging, but this methodology may be explored in other regions.
Long-term Cognitive Trajectories in Older Adults After Surgery
Authors: Thirumala Parthasarathy D. , Snitz Beth E. , Jacobsen Erin , Chang Chung-Chou H. , Chang Yue-Fang , Ganguli Mary 
Published: January 2025

Introduction:
Postoperative cognitive decline (POCD) is a common, but often unrecognized condition after surgery. We evaluate postsurgical cognitive changes in a longitudinal population-based study.

Methods:
The study cohort comprises an age-stratified population-based random sample of individuals aged 65+ years from a small-town region of the United States. We identified as cases those participants who, during annual assessments, self-reported having undergone surgery under general anesthesia during the preceding year. We identified as controls those who reported no surgery for at least 6 consecutive years. The outcome variable changed over time (4 y) in annual cognitive test composite scores encompassing the domains of attention/processing speed, executive function, memory, language, and visuospatial functions, which were modeled using Generalized Estimating Equations.

Results:
A total of 436 participants had the required cognitive data; 179 participants (cases) had undergone surgery, while 257 participants (controls) had not undergone surgery. After adjusting for age, years of education, gender, race, heart failure, irregular heartbeat, and stroke, participants who underwent surgery had a greater decline in executive function, memory, and attention over a 2-year period.

Discussion:
Participants who underwent surgery had a significant subsequent decline in cognitive function over the long term.
Accounting for functionality in the identification of global conservation priorities: promises and pitfalls
Authors: Rodrigues Ana S. L. 
Published: January 2025

Whereas preventing species extinctions remains a central objective of conservation efforts, it must be complemented by the long-term preservation of functional ecosystems and of the benefits humans derive from them. Here, I review recent approaches that explicitly account for functionality in setting large-scale conservation priorities, discussing their promise while highlighting challenges and pitfalls. Crossing data on species’ distributions and ecological traits has enabled the mapping of global patterns of functional diversity and functional rarity and the identification of species that stand out for their functional distinctiveness. However, the priorities identified through these general indices do not directly address ecosystem functionality, instead, they are methods for ensuring the representation of individual functional traits as intrinsically valuable biodiversity elements. Three other approaches integrate functionality into large-scale priorities by taking into account the specific context of each ecosystem, site or species: the International Union for Conservation of Nature's Red List of Ecosystems, Key Biodiversity Areas and the Green Status of Species. Currently at various stages of development, testing and implementation, these approaches are playing an increasingly important role in the definition, implementation and monitoring of global- and national-scale conservation strategies to ensure the long-term persistence of ecosystem functions and associated ecosystem services.
This article is part of the discussion meeting issue ‘Bending the curve towards nature recovery: building on Georgina Mace's legacy for a biodiverse future’.
Polyploid - diploid coexistence in the greater duckweedSpirodela polyrhiza
Authors: Mortier Frederik , Van de Peer Yves , Bonte Dries 
Published: January 2025

AbstractPolyploidy, resulting from whole-genome duplication (WGD), is widespread among plants and originates in sympatry with their lower-ploidy progenitors. New polyploids can only succeed when they overcome the competitive disadvantage against their progenitors or through sufficient niche differentiation as resulting in a negative frequency dependent growth. Because polyploidy is frequently associated with cold, dry, and saline environments, stress is anticipated to be the key to polyploid success.We examined the invasion of neotetraploid duckweed (Spirodela polyrhiza) strains in populations of their direct diploid progenitors, in control and salt stress conditions in replicated microcosms. We also tested the reverse scenario, that is, the invasion of diploids in neotetraploid populations, to determine if the initial proportion of tetraploids affects the outcome of competition.Our results showed that the proportion of tetraploids declined in all tetraploid and all diploid invasions and it did so at a different rate than expected from only differences in intrinsic growth rate. Salt stress affected the decline in tetraploid proportion differently across strains. We also found evidence for negative frequency dependent growth that, nonetheless, was insufficient to overcome competitive disadvantages of neopolyploids towards their diploid progenitor.We showcase a robust quantitative pipeline from flow cytometry of mixed-ploidy populations to population model fitting. In doing so, we demonstrate the important effect of competition and frequency dependency on neopolyploid establishment. Therefore, we caution for inferring neopolyploid success from intrinsic growth rates alone.
Physiologically-relevant light exposure and light behaviour in Switzerland and Malaysia
Authors: Biller Anna M , Zauner Johannes , Cajochen Christian , Gerle Marisa A , Kalavally Vineetha , Mohamed Anas , Rottländer Lukas , Seah Ming-Yi , Stefani Oliver , Spitschan Manuel 
Published: January 2025

AbstractLight synchronises the internal clock with the external light-dark cycle. Keeping this alignment benefits health and prevents diseases. Quantifying light exposure is, therefore, vital for effective prevention. Since light exposure depends on photoperiod, culture, and behaviour, we investigated objective light exposure and individual light-related behaviour in Switzerland and Malaysia. In this observational field study, participants (N=39) wore a calibrated melanopic light logger at chest level for 30 consecutive days. At baseline and study end, the Pittsburgh Sleep Quality Index was assessed, and every 3 to 4 days, the Light Exposure Behaviour Assessment (LEBA) was filled. Our pre-registered analyses reveal that participants in Switzerland experienced brighter days (+3.16 times the average mEDI) and spent more time (x1.9 times the duration) in daylight levels per hour of daylight, had ∼1.5h later bright light exposure in the afternoon, and stayed over 1h longer in dim light conditions before bedtime. LEBA scores did not differ between Malaysia and Switzerland, and LEBA items were stable over time. LEBA items also correlated with objective light exposure variables in Switzerland but not Malaysia, with a medium effect size (range of absolute r=0.32-0.48). These results highlight cultural and geographical differences in light exposure. We showed that LEBA can be related to actual light exposure and is ecologically informative, but this varies by culture.
Multi-Omics Prognostic Marker Discovery and Survival Modeling: A Case Study on Pan-Cancer Survival Analyses in Women’s Cancers
Authors: Nguyen Ricky , Vafaee Fatemeh 
Published: January 2025

AbstractSurvival analysis plays a critical role in cancer research, offering insights into patient outcomes and informing personalized treatments. Advances in sequencing and profiling technologies have unlocked the potential of multi-omics data to improve prognostic models. However, the high dimensionality of multi-omics data often complicates analysis and limits clinical application. Additionally, most studies rely on the traditional Cox proportional hazards model, with limited exploration of alternative survival algorithms or feature selection methods. Few frameworks integrate optimal features across multiple omics modalities, leaving a gap in harnessing the full potential of multi-omics data. To address these challenges, we developedPRISM(PRognostic marker Identification and Survival Modelling through Multi-omics Integration), a comprehensive framework for improving survival predictions and identifying key prognostic markers. PRISM systematically evaluates feature selection methods and survival models, employing a voting-based pipeline to identify robust features from single-omics data. These features are integrated using feature-level fusion to determine the best modality combinations for survival prediction. Applied to The Cancer Genome Atlas (TCGA) data for Breast Invasive Carcinoma (BRCA), Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC), and Uterine Corpus Endometrial Carcinoma (UCEC), PRISM demonstrated that integrating DNA methylation, miRNA, and copy number variation data significantly outperforms single-omics approaches (BRCA: C-index 0.774; CESC: 0.835; UCEC: 0.766). Pan-cancer analysis further demonstrated the biological relevance of these multi-modal signatures, revealing shared oncogenic pathways and potential therapeutic targets. By reducing data dimensionality while preserving predictive power, PRISM offers a scalable and general-purpose solution for integrating multi-omics data, advancing cancer research and enabling precision medicine.HighlightsIntroducing PRISM, a robust framework that enhances survival predictions and identifies key prognostic markers through multi-omics integration.Utilizing a voting-based pipeline, PRISM selects optimal single-omics features and integrates them via feature-level fusion to identify the best modality combinations.Highlighting Survival Random Forest as an effective model for high-dimensional data, outperforming other survival algorithms.Demonstrating superior survival predictions with integrated DNA methylation, miRNA, and copy number variation data in Breast Invasive Carcinoma (C-index 0.774), Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC, 0.835), and Uterine Corpus Endometrial Carcinoma (UCEC, 0.766).Revealing common oncogenic pathways and therapeutic targets through pan-cancer analysis validated by Kaplan-Meier analysis of multi-modal signatures.
Memory Inception through Gaze-Contingent Message Exposure: Using Virtual Reality to Study Media Influence
Authors: Cho Hee Jung , Lim Sue , Saenz Miriya , Schmälzle Ralf 
Published: January 2025

AbstractThe messages we encounter in our environment can shape our knowledge about the world. However, much research on mediadriven influence via messages focuses on population-level effects and aggregate exposure statistics, obscuring how individual and self-determined behaviors affect message intake, processing, and effects. To address this gap, we use virtual reality (VR) to create a controlled messaging environment. Participants navigate a simulated urban street lined with billboard messages while their visual attention is tracked via eye-tracking. We introduce an inception-style manipulation: overlooked billboards are strategically reintroduced, creating additional exposure opportunities. Our results demonstrate that this subtle manipulation – unnoticed by participants – boosts message retention. This study bridges communication theory and psychology, elucidating the blurred line between voluntary and involuntary information intake in the digital age. It also highlights a potential vulnerability in the future metaverse media ecosystem, where undetected information manipulations can influence individual and collective attention and memories.
Characterization of ClinicalFusobacterium nucleatumIsolates from Oral Squamous Cell Carcinoma Patients
Authors: Lim Serene , Hsueh Wan-Hsin , Wu Ni-Hung , Hodges Claire , Vuong Christopher , Smith Kynzi , Hsiao Jenn-Ren , Chang Jeffrey S , Chang Jang-Yang , Chen Jenn-Wei , Huang I-Hsiu 
Published: January 2025

AbstractFusobacterium nucleatum(Fn), a Gram-negative anaerobe primarily residing in the oral cavity, has garnered increasing attention for its role in a broad spectrum of human diseases. While typically absent or rarely detected outside the oral cavity in healthy individuals,Fnis frequently found at extra-oral sites under disease conditions and has been implicated in cancer progression and prognosis1. In oral squamous cell carcinoma (OSCC), the abundance ofFnsignificantly increases as the disease progresses, promoting cell invasion and metastasis. Furthermore, substantial evidence linksFnto accelerated tumor growth and metastatic progression in colorectal cancer (CRC), where its presence is also associated with chemotherapy resistance and poor prognosis. Here, to further elucidate the pathogenic mechanisms ofFnin cancer progression, this study characterized the physiological traits, virulence factor expression, and impacts on cancer cells of 10Fnstrains, including two well-characterized ATCC strains and eight clinical isolates. The clinical isolates consisted of three strains from saliva samples of 117 OSCC patients and five strains from 160 non-cancer individuals. Results indicated that oral isolates, regardless of disease origin, all belong toFnsubspeciespolymorphum. The ATCC strains (23726 and 25586) exhibited shorter cell lengths and faster growth rates compared to the clinical isolates. Both ATCC strains formed stable biofilms and expressed key virulence genes, includingaim1,fadA,fomA, andradD. All isolates tested showed sensitivity to a panel of eight different antibiotics. Interestingly, only one clinical isolate displayed similar stimulation of CRC cell migration as the two ATCC strains, while the other seven displayed no such ability. Collectively, these findings suggest that the most virulent strains, in terms of biofilm formation and virulence gene expression, are not necessarily the most pathogenic in the context of cancer cell interactions. Future pan-genomic analyses, incorporating whole-genome sequencing of the clinical isolates, will aim to delineate the genetic determinants contributing to the carcinogenic potential ofFn.
Physiological and molecular impairment of PV circuit homeostasis in mouse models of autism
Authors: Monday H.R. , Nieto A.M. , Yohannes S.A. , Luxu S. , Wong K.W. , Bolio F.E. , Feldman D.E. 
Published: January 2025

SummaryCircuit dysfunction in autism may involve a failure of homeostatic plasticity. To test this, we studied parvalbumin (PV) interneurons which exhibit rapid homeostatic plasticity of intrinsic excitability following whisker deprivation in mouse somatosensory cortex. Brief deprivation reduces PV excitability by increasing Kv1 current to increase PV spike threshold. We found that PV homeostatic plasticity is disrupted inTsc2+/-andFmr1-/-models of autism. In wildtype mice, deprivation elevates the transcription factor ER81 which drivesKcna1transcription, increasing Kv1.1 protein in the axon initial segment and soma. These molecular signatures of homeostasis were absent inTsc2+/-andFmr1-/-. Whisker enrichment increased PV excitability, but not inTsc2+/-, indicating that homeostasis is lost bidirectionally. Deprivation reduced feedforward L4-L2/3 inhibition in wildtype but notTsc2+/-mice. Thus, two autism models show a convergent loss of PV circuit homeostasis at physiological and molecular levels, potentially contributing to sensory processing impairments.
Prevalence and types of lower limb conditions in Nepal
Authors: Gates L , Channon A , Dickinson A , Pandey BD , Vaidya A , Vaidya B , Niraula Y , Baskota R , Nakarmi S , Metcalf C , Ward K , Silman A , Woolf A , Puri MC 
Published: January 2025

AbstractBackgroundUnderstanding the burden of lower limb conditions (LLCs) is essential for effective health planning, yet data in low-resource settings like Nepal is scarce. LLCs, encompassing diverse issues such as pain, injuries and amputations, can profoundly impact mobility, well-being, and livelihoods. With limited healthcare access and growing non-communicable diseases, the scale and impact of LLCs in Nepal remain unknown. This study estimates the prevalence and distribution of person-reported LLCs, exploring their effects on daily living and regional disparities.MethodsTo estimate the prevalence of LLCs a household survey was conducted in three selected districts of Nepal representing different ecological zones; Dolakha (Mountain), Lamjung (Hill) and Dang (Terai/Plan). Follow-up questions to 500 individuals with LLCs explored the conditions further, including their distribution by cause and by important characteristics at the individual and ecological zone levels.ResultsA total of 2,525 households were surveyed and screened for LLCs. Six hundred and seventy one (26%) of households reported that there was at least one person with an LLC, and at the individual level 11.2% of adults reported an LLC. Sixty-five percent of LLC sufferers were women. Pain and discomfort was the most common problem (reported in 97% of those with an LLC), followed by injury/trauma (19%), deformity (7.2%), wounds (1.4%) and amputation (0.8%). We present the regions of the lower limb most affected, causes of conditions and the extent to which each condition affected participants’ ability to carry out activities of daily living.ConclusionOur study shows a high prevalence of LLCs across diverse regions of Nepal, with pain and discomfort most frequently reported, and injuries and trauma common in specific areas. LLCs impair daily activities and employment, highlighting the need for tailored interventions and assistive technologies. Findings pave the way for larger-scale studies and scalable, cost-effective solutions.
Fair compensation for women in leadership: impact on firm performance
Authors: Looi Elise K.Y. , Koh Sharon G.M. , Lee Grace H.Y. 
Published: January 2025

Purpose
This paper aims to investigate the impact of gender equality in boardrooms, managerial positions and executive roles on firm financial performance. It specifically examines the moderating effect of fair remuneration on this relationship.

Design/methodology/approach
This study uses ESG metrics from CSRHub and data from Bloomberg to analyze 279 Malaysian public listed companies from 2013 to 2022. It uses regression analysis to assess how gender diversity – represented by women on boards, in managerial and executive positions – affects firm performance. The analysis includes fair remuneration to evaluate its moderating effects on the gender diversity–firm performance relationship.

Findings
The results indicate that greater female representation on boards and in managerial and executive positions significantly boosts firm performance. Additionally, the findings confirm that fair remuneration moderates the relationship between gender diversity and firm performance, although it introduces unintended effects that slightly reduce the overall benefits of increased female representation. This highlights the need for a strategic approach to integrate gender diversity initiatives with compensation policies to ensure they work together effectively for optimal outcomes.

Originality/value
This study broadens the literature by examining female representation not only on corporate boards but also in managerial and executive positions. The authors propose a new model promoting gender balance and fair remuneration, designed to boost the recruitment of female employees and advance workplace gender equality, offering a vital framework for organizations seeking to merge financial performance with social objectives.
Triple bottom line sustainability and Innovation 5.0 management through the lens of Industry 5.0, Society 5.0 and Digitized Value Chain 5.0
Authors: Mouazen Ali Mohamad , Hernández-Lara Ana Beatriz , Chahine Jawad , Halawi Ali 
Published: January 2025

PurposeThe purpose of this study is to explore the potential impact of Industry 5.0 on businesses and management by integrating advanced technologies to develop smart cities (Society 5.0) and digital value chains, leading to Innovation 5.0 and triple bottom line sustainability. We propose an Organization Value Chain 5.0 model to describe the ecosystem interactions that leverage organizational innovative behavior through knowledge management.Design/methodology/approachUsing a systematic literature review methodology, we conducted a comprehensive analysis of 968 Industry 5.0 articles, 297 Innovation 5.0 articles and 510 Society 5.0 articles from the WOS and Scopus databases. This analysis supports the development of our conceptual model.FindingsThis allowed us to propose the conceptual model for the new notion of Organization Value Chain 5.0 and its ecosystem components.Originality/valueThis study provides a detailed analysis of Industry 5.0, its technological elements and its relevance to creating Society 5.0, smart cities and digitalized value chains. It highlights the importance of stakeholder engagement and integration for effective digital industrial transformation.