bluuebunny/crossref_metadata_2025_split huggingface dataset:
A qualitative descriptive study on the perspectives and experiences of multidisciplinary HCPs in providing nutritional care to older adults with cancer
Authors: Wong Rachel Li Yin , Han Chad Yixian , Thomas Jolene , Knowles Reegan 
Published: February 2025

Abstract

Objectives
To explore the perceptions and experiences of healthcare professionals (HCPs) caring for older adults with cancer regarding dietary advice provision and dietetic referral.

Methods
Qualitative descriptive study providing rich descriptions of the experiences of multidisciplinary HCPs in providing care to older adults with cancer, excluding dietitians or nutritionists. Purposive and snowball sampling methods were used for recruitment. Semi-structured interviews and a focus group session were conducted. Data was analysed using qualitative content analysis. Inductive codes were generated, and codes representing factors influencing HCPs’ referral to dietetics and dietary advice provision were then mapped to domains in the Tailored Implementation of Chronic Diseases (TICD) checklist using a deductive approach.

Results
Twenty HCPs across various Australian healthcare settings participated, with a broad range of working experience (1.5 to 53 years) being interviewed. Most participants perceived their role in the provision of general dietary advice, and there was a consensus that nutrition is important. Key barriers (e.g. lack of time and resources, perceived lack of knowledge, scope of practice), including unique patient-related barriers (e.g. co-morbidities, fatalistic mindset), and key facilitators (e.g. need for education, evidence-based resources, multidisciplinary team approach) to dietary advice provision fell within five TICD domains (intervention, health professional factors, patient factors, professional interactions, incentives and resources). Common barriers (e.g. disconnections in multidisciplinary care, lack of structured referral pathways) and facilitators (e.g. clear referral pathways) to referral fell within four TICD domains (intervention, health professional factors, professional interactions, incentives and resources).

Conclusion
The barriers and facilitators to referral and provision of dietary advice by HCPs suggest the need for system-level changes via a multi-pronged approach. Simple and accessible nutrition resources, stronger nutrition education for HCPs, improved referral pathways and role clarity are required to support a multidisciplinary approach to nutritional care. More qualitative research on patient-level factors involving older adults with cancer is warranted.
The leeb (Equotip) hardness test for rock materials: An overview, assessments on the factors influencing test results, and prediction models based on a large database
Authors: Ulusay Reşat , Ersoy Hakan , Sünnetci Muhammet Oğuz , Karahan Murat 
Published: February 2025

Abstract
This study aims to assess several factors affecting Leeb hardness (LH) test results for rock materials. Regression models for predicting some strength and deformability properties from L

D
values were proposed and compared based on a larger database from a comprehensive experimental program conducted and those compiled from the literature. The results indicate that Single Impact Method (SIM) is the most suitable method to obtain more reliable L

D
values when compared to Repeated Impact Method (RIM). In addition, RIM causes the formation of pits and bulges on the sample surface. 15 single impacts are sufficient to determine L

D
value that statistically represents optimal number of impacts to be applied. The test should be performed on samples with a length of (L) ≥ 50 mm (L/D ≥ 1) and the impacts should be applied by leaving a minimum distance at least equal to the diameter of the tester supporting ring from sample edge.
The potential of depressive symptoms to identify cognitive impairment in ageing
Authors: Alexopoulos Panagiotis , Bountoulis Christos , Katirtzoglou Everina , Kosmidis Mary H. , Siarkos Kostas , Yannakoulia Mary , Dardiotis Efthimios , Skondra Maria , Hadjigeorgiou Georgios , Perneczky Robert , Sakka Paraskevi , Georgiou Eleni-Zacharoula , Charalampopoulou Μarina , Felemegkas Panagiotis , Leroi Iracema , Batsidis Apostolos , Perna Laura , Politis Antonios , Scarmeas Nikolaos , Economou Polychronis 
Published: February 2025

Abstract
Depressive symptoms are common in mild cognitive impairment (MCI), dementia caused by Alzheimer’s disease (AD dementia) and in cognitively unimpaired older adults. However, it is unclear whether they could contribute to the identification of cognitive impairment in ageing. To assess the potential utility of depressive symptoms to distinguish between healthy cognitive ageing and MCI and AD dementia. The diagnostic workup of the cognitive function of 1737 older cognitively unimpaired individuals, 334 people with MCI and 142 individuals with AD dementia relied on a comprehensive neuropsychiatric assessment, including the Mini Mental State Examination (MMSE). Depressive symptoms were tapped with the 15-item Geriatric Depression Scale (GDS). Proportional odds logistic regression (POLR) models and the machine learning technique Adaptive Boosting algorithm (AdaBoost) were employed. Stratified repeated random subsampling (stratified bootstrap resampling) was used to recursive partitioning to training- and validation set (70/30 ratio). The average accuracy of the POLR models for the GDS total score in distinguishing between cognitive impairment and healthy cognitive ageing exceeded 78% and was inferior to that of MMSE. Of note, the sensitivity of GDS total score was very low. By employing the AdaBoost algorithm and considering GDS items separately, the average accuracy was higher than 0.72 and comparable to that of the MMSE, while sensitivity- and specificity values were more balanced. The findings of the study provide initial evidence that depressive symptoms may contribute to distinguishing between cognitive impairment and cognitively healthy ageing.
How do urban agriculture initiatives communicate on farming across society? An exploration of awareness, responsibility, and pride messages on social media
Authors: Unay-Gailhard İlkay , Chaskin Robert J. , Brennan Mark A. 
Published: February 2025

Abstract
Generational renewal problems in the farming sector highlight the urgent need to attract new farmers and address misconceptions about agricultural careers. This can be achieved by strengthening the connection between the farming community and society. Emphasizing the alternative food movement’s role in attracting new-generation farmers, we focus on the urban agriculture movement and its communication efforts to better understand the changing relationship between agriculture and society. This study examines how urban agriculture communicates about farming by analyzing the use of social media messages related to awareness, responsibility, and pride. Analyses are based on the professionals’ perspectives (28 in-depth key informant interviews) and social media data (four selected Instagram accounts) in Pennsylvania and Illinois. We utilized qualitative thematic coding, guided by Polymedia theory and the Norm Activation Model. The results indicate that dialogues around urban agriculture encourage individuals to engage in discussions about healthy eating and to critically assess their understanding of industrial agriculture. Our study reveals that Instagram messages often emphasize responsibility and pride, which play a significant role in storytelling. These pride messages, linked to personal, relational, or professional achievements, are prevalent in the communication. However, very few messages address the economic aspects of farming, suggesting that financial issues and access to resources are not prioritized in these discussions. The study confirms that the online representation of urban farmers enhances their personal recognition by showcasing the diversity of farmers in terms of race, gender, ethnicity, and farm size, which differ from how traditional farmers are depicted in conventional media.
Flow dynamics of agricultural waste nanofibers: shear, temperature, and oscillatory insights
Authors: Altay Bilge Nazli , Aksoy Burak , Atkinson James , Lewis Christopher L. , Diaz-Acosta Carlos , Francis Raymond 
Published: February 2025

Abstract
The rheology and fiber size of corn stover (CS) and cleaned cotton gin trash (CGT) cellulose nanofibers (CNFs) were studied including behaviors at both moderate and extremely high shear rates, to simulate industrial processes ranging from mixing and pumping to high-speed coating, printing, and extrusion. Particle size analyzer showed that 99% of CS fibers measured around 226 nm, while 85% of CGT fibers were approximately 143 nm. Both CS and CGT CNFs formed gel-like suspensions, and shear flow tests revealed that all samples exhibited shear-thinning behavior, allowing easy flow under shear forces. Gels with higher solid content (1%) demonstrated extended viscoelastic regions, indicating improved flexibility, structural integrity, and energy-dispersing capacity. The combination of shear-thinning behavior, flexibility, and energy absorption makes these CNFs promising for applications in papermaking, coatings, packaging, and areas where shock absorption is required.

Graphical abstract
Unexpected landscape-scale contemporary gene flow and fine-scale genetic diversity in rural hedgehogs
Authors: Yu Hongli , Moore Lauren J. , Barlow Axel , Gentle Louise K. , Dawson Deborah A. , Horsburgh Gavin J. , Knowles Lucy , Baker Philip J. , Bates Adam , Hicks Helen , Petrovan Silviu , Perkins Sarah , Yarnell Richard W. 
Published: February 2025

Abstract
Agricultural intensification is one of the major forces driving populations of many traditionally common native species into smaller, fragmented populations which are prone to isolation and loss of genetic diversity. Identifying the spatial extent and characteristics of rural systems that support gene flow and promote genetic diversity for these species is thus essential for their long-term conservation. Here we used asymmetric autosomal genetic structure between sexes to investigate current gene flow among four neighbouring suburban populations of hedgehogs (Erinaceus europaeus) in England, which are separated by agricultural land. Contrary to expectations, we found that individuals belonged to a single genetic population despite the populations being separated by unoccupied agricultural land. Spatial autocorrelation was significant in adult female hedgehogs, but non-significant in adult males, revealing male driven contemporary gene flow between local populations. The results suggest that male hedgehogs are capable of moving between population patches separated by at least 3 km across the agricultural matrix. This finding is crucial to aid the development of a conservation strategy for hedgehogs as, for the first time, it shows the extent that previously assumed isolated populations across a perceived inhospitable landscape are connected by current gene flow. Higher within patch relatedness, and lower allelic richness were found from smaller suburban patches, largely reflecting local population size, indicating an early stage of genetic diversity loss due to habitat loss and associated fragmentation. Our study illustrates that considering current gene flow and local genetic diversity together is important to better understand habitat effects on genetic variation and to inform future conservation management.
Impact of Discrimination on Help-Seeking Behavior Among Individuals With Serious Mental Illness in South Korea: Role of Social Participation Services
Authors: Na Subin , Kahng Sang Kyoung , Solomon Phyllis 
Published: February 2025

Abstract
This study investigated the relationship between perceived discrimination, help-seeking behaviors, and the adequacy of social participation services among individuals with serious mental illness in South Korea. Data were drawn from a 2020 survey conducted by the National Human Rights Commission of Korea, involving 607 participants who used community-based mental health rehabilitation facilities. Structural equation modeling was employed to examine the extent to which perceived discrimination in healthcare, employment, and personal–social relationships affects help-seeking behaviors, including the mediating effect of perceived adequacy of social participation services. Results revealed that experiences of discrimination in healthcare and employment significantly influenced help-seeking, whereas discrimination in personal–social relationships did not. Although the adequacy of social participation services positively impacted help-seeking, it did not mediate the relationship between discrimination and help-seeking behaviors. The findings suggest addressing discrimination in healthcare and employment and expanding diverse, accessible social participation services are crucial for encouraging help-seeking among individuals with serious mental illness across regions in Korea.
Fermented plant product (FPP) suppresses immediate hypersensitivity reactions with impaired high-affinity IgE receptor (FcεRI) signaling
Authors: Kodama Tomoki , Yokoyama Ayana , Nishioka Yuki , Kawasaki Riku , Teshima Aiko , Maeda Akira , Hojo Ayano , Suizu Takumi , Torii Hideto , Fujioka Kotaro , Kishida Shinsuke , Fujimura Takashi , Arakawa Kenji , Ikeda Atsushi , Kawamoto Seiji 
Published: February 2025

Abstract
Fermented plant product (FPP) is a dietary supplement made by fermentation and aging of a variety of plants, including fruits, vegetables, and grains. A previous study has shown that oral FPP supplementation prevents the development of allergic rhinitis-like nasal symptoms in a murine model of Japanese cedar pollinosis without affecting systemic immune response. However,　the mode of action by which FPP exerts an anti-allergic effect remains to be elucidated. Here, we show that FPP acts on mast cells to suppress immediate hypersensitivity reactions in vitro as well as in vivo. We found that stimulation with FPP potently suppressed IgE antibody-mediated degranulation of RBL-2H3 rat basophilic leukemia cells. We also found that oral feeding with FPP significantly suppressed passive cutaneous anaphylaxis (PCA), an in vivo model of IgE- and mast cell-mediated hypersensitivity reactions. Mechanistic analysis revealed that FPP extensively suppressed the high-affinity IgE receptor (FcεRI) signaling pathway, in which FPP not only inhibited intracellular Ca2+ influx upon FcεRI ligation but also negatively regulated another Ca2+-independent FcεRI signaling pathway leading to granule translocation through microtubule formation. These results suggest that FPP fulfills its anti-allergic activity by acting on the IgE-mast cell axis to suppress immediate hypersensitivity reactions.
Digital economy and environmental quality of African countries: evidence from spatial Durbin model
Authors: Arogundade Sodiq , Hassan Adewale Samuel 
Published: February 2025

Abstract
This study examined the spatial impact of the digital economy on the environmental quality of 36 African countries between 1995 and 2020. Methodologically, the study used the fixed effect instrumental variable regression model, spatial Durbin model and two alternative proximity matrices—contiguity and inverse distance. The empirical outcomes have produced three important findings: (1) there is evidence of spatial spillover on the impact of digital economy on environmental quality in Africa, i.e. third-country’s digital economy plays a significant role in determining the environmental quality of host country; (2) spatial spillover of environmental quality in the region, which is due to interconnected ecosystems, shared natural resources, and transboundary environmental factors such as air and water pollution; (3) African countries are not independent when it comes to environmental issue, i.e., environmental quality of a specific country is being influenced by its drivers from neighbouring countries. The estimates are also robust to alternative measures of the digital economy and a different proximity matrix—inverse distance. The study suggests that African policymakers should undertake a joint task effort to enforce the regulatory framework on recycling electronic waste. Also, promoting the use of renewable energy sources, such as wind and solar, is essential for meeting the energy needs of digital infrastructure.
Mutations in the plant-conserved uL1m mitochondrial ribosomal protein significantly affect development, growth and abiotic stress tolerance in Arabidopsis thaliana
Authors: Núñez-Delegido Emilio , Teruel-Elvira Pablo , Robles Pedro , Seller-Lozano Aitana , Domínguez-Espinosa David , Quesada Víctor 
Published: February 2025

Abstract
Mitochondria ribosomes, or mitoribosomes, reflect the endosymbiotic origin of this organelle. Mitoribosomes are made up of RNAs and proteins (mitochondrial ribosomal proteins, MRPs). Considering the large amount of MRPs identified in plant mitoribosomes, the number of MRPs for which mutations producing mutant phenotypes have been hitherto reported is rather limited. Moreover, the contribution of plant mitoribosomes, and hence mitochondrial translation, to abiotic stress, is almost completely unknown. To advance knowledge about the role of mitochondrial translation in plant development and stress acclimation, we performed a thorough genetic and phenotypic analysis of the Arabidopsis mrpl1-1 and 3 mutants affected in the MRPL1 (MITOCHONDRIAL RIBOSOMAL PROTEIN L1) gene encoding MRP uL1m. Compared to the wild type, the mrpl1-1 and 3 mutants show delayed growth, small body size and smaller leaf palisade cells, although the morphology of chloroplasts and mitochondria is similar. We identified a novel MRPL1 mutant allele, mrpl1-2, that causes early seedling lethality, which reveals that Arabidopsis MRPL1 is an essential gene. Furthermore, the mrpl1 viable mutants are less responsive than the wild type to increased growth temperature, and are hypersensitive to antibiotics doxycycline and chloramphenicol, and also to salt, osmotic and ABA stress. In summary, impaired MRPL1 function severely hinders plant growth and development, likely by triggering retrograde signaling due to translational perturbation, and it enhances sensitivity to abiotic stress. Besides, our results support a role for mitochondria translation in acclimation to adverse environmental conditions. To our knowledge this is the first work to report an altered abiotic stress sensitivity phenotype due to mutations in a plant MRP gene.
Automatic Heterogeneous Runtime Using Signal Processing Domain-Specific and Parallel Patterns
Authors: Zaidi Yaseen , Winberg Simon 
Published: February 2025

Abstract
Parallel and signal processing patterns for large-scale radio data applications have been captured with a new domain-specific language (DSL), OptiSDR. The intermediate representations (IR) of the code are optimized at the frontend with the Delite compiler targeted for heterogeneous computing architecture (HCA). The design flow begins at the abstract programming model and, at a later stage, addresses tuning of the domain applications to the target HCA comprising GPUs and MCPU, as well as scheduling and optimal memory access. For a variety of signal processing use cases, the framework has shown up to two orders of magnitude higher computational speed than MPI and C++ and comparable performance to architecture-specific CUDA. Additional gains are ease of use, scalable computing, and efficient runtime.
Advancing Interactive Parallelization: iCetus
Authors: Barakhshan Parinaz , Eigenmann Rudolf 
Published: February 2025

Abstract
Despite advancements in parallelization tools, optimizing scientific applications remains a complex and time-consuming task due to the iterative nature of the optimization process and the expertise required to validate optimization results. Existing tools often fail to efficiently shorten the optimization cycle or validate the outcomes of applied optimizations, such as ensuring result correctness and performance improvements. This paper introduces iCetus, an interactive parallelizer designed to address these challenges. iCetus provides a unified environment that supports a wide range of optimization strategies, including manual, automatic, and AI-driven approaches. It enables users to target specific code sections rather than the entire codebase, aiming to accelerate the optimization process. The integrated framework automates validation, ensuring that optimizations enhance performance while maintaining correctness. Evaluation of iCetus against traditional methods demonstrates a significant reduction in development time and improvements in the reliability of optimization results, indicating its potential as an effective solution for enhancing the efficiency of scientific applications.
A Novel Mathematical Model with Fairness Constraints for Uninterrupted Network Coverage in Disasters
Authors: Şatır Akpunar Özge , Akpinar Şener 
Published: February 2025

Abstract
Drones can be used as base stations to support search and rescue operations due to damage to telecommunications infrastructure after a disaster. This involves identifying a number of hotspots over the disaster area where the drones should hover for a certain amount of time, and moving the drones between these points along the pre-determined routes. Allocating the drones to appropriate locations and finding optimal routes is an optimization problem, and solving this problem to optimality is crucial to ensure sustainable operations with limited resources. This paper addresses this optimization problem and presents the drone base station allocation and routing problem (DBSARP) under disaster conditions. The problem aims at separately optimizing two objectives: spatial coverage by maximizing the coverage areas and temporal coverage by maximizing the total hover time as well as considering fairness. A mathematical model is proposed to determine the locations and routes of the drone base stations (DBSs) and their lengths of stay at each location. Furthermore, a real-life implementation of the proposed model is realized based on the earthquake that happened in the Bayrakli district of Izmir, Türkiye in 2020. Finally, a set of sensitivity analyses is performed by varying key parameters of the problem, such as battery capacities and number of the DBSs.