bluuebunny/crossref_metadata_2025_split huggingface dataset:
l‐Arginine supplementation for pregnant and lactating sows may improve the performance of piglets: A systematic review
Authors: Cruz Fábio Loures , Mendes Melissa Fabíola dos Santos Alves , Silva Thais Oliveira , Filho Marlon Barros Guimarães , de Abreu Márvio Lobão Teixeira 
Published: August 2024

AbstractThe objective was to conduct a systematic review to clarify the effects of l‐arginine supplementation in pregnant and lactating sows on plasma hormone levels, milk production and composition, the body condition of sows and piglet performance. In April 2023, an online search and a systematic search were performed in the following databases: Embase, Scopus, SciELO, Web of Science, PubMed and Science Direct. The combinations of keywords used were sow and arginine and lactation; sow and arginine and lactating; sow and arginine and gestation; sow and arginine and gestating; sow and arginine and pregnancy; sow and arginine and reproduction; piglet and arginine; and sow and arginine and mammary gland. In total, 21 scientific articles with original data were selected according to preestablished criteria. Among the 21 articles, seven (33%) reported measurements of some plasma hormones, and among these, six reported an increase in the levels of at least one hormone, namely, estradiol, insulin‐like growth factor 1 (IGF‐1), insulin, follicle stimulating hormone, growth hormone or prolactin, with l‐arginine supplementation. The parameters of milk were evaluated in 11 studies (52%), one reported an increase in protein content, and one reported an increase in IGF‐1 content in milk with supplementation of this amino acid. Of the 14 studies that evaluated the performance parameters of piglets, only four reported improvements in some parameters of piglets from sows that received supplementation. Dietary supplementation of arginine for sows in the final third of gestation and/or lactation may alter the plasma levels of some hormones, which may reflect in greater development of the mammary gland tissue and, consequently, promote benefits on the performance of piglets. However, more studies are needed to evaluate the real impact of this amino acid supplementation on the physiology of the sows, in general, and the performance of suckling piglets.
Validation of a reference interval for symmetric dimethylarginine in healthy goats and its comparison to values in goats with obstructive urolithiasis
Authors: Camacho Blanca E. , Mitman Siena L. , Foster Derek M. , Halleran Jennifer 
Published: August 2024

AbstractBackgroundSymmetric dimethylarginine (SDMA), a sensitive biomarker for detecting renal injury, has not been characterized in goats. Obstructive urolithiasis (OU) is the most common urinary tract disease in male small ruminants.Hypothesis/ObjectiveEstablish an SDMA reference interval (RI) in healthy adult goats and describe SDMA concentrations in goats with OU. We hypothesize that the SDMA RI in healthy adult goats will be similar to that of other adult veterinary species and that SDMA can be utilized to assess the renal function of goats experiencing OU.AnimalsFifty‐five healthy adult male and female goats from a university herd were enrolled for SDMA RI development. Twenty male and female goats from a university herd were enrolled for validation of the SDMA RI established. Thirteen male goats diagnosed with OU were enrolled.MethodsClinical trial. Serum samples for all animals enrolled were collected and analyzed for SDMA using an immunoassay (IDEXX Laboratories, Inc); goats with OU had additional blood work analyzed (PCV, total solids, and serum biochemistry). Symmetric dimethylarginine and other values in goats with OU were analyzed and compared at specific time points.ResultsThe SDMA RI for healthy, adult goats is 8.03 μg/dL (90% CI 4.81‐11.04) to 25.93 μg/dL (90% CI 22.88‐28.97). There was no correlation identified between serum creatinine and SDMA in goats with OU.Conclusions and Clinical ImportanceThe SDMA RI for adult goats is higher than in other adult large animal species. Use of SDMA in goats with OU is not useful in assessing their renal function.
Metabolic characteristics of patients with MetALD: Caveats of a new definition
Authors: Petrie Erin , Gray Meagan , Bril Fernando 
Published: August 2024

AbstractBackground and AimsRecently, a new entity was introduced, MetALD, which includes patients with metabolic dysfunction‐associated steatotic liver disease (MASLD), who consume moderate amounts of alcohol. However, little is known regarding the metabolic and clinical characteristics of these patients.MethodsData from the National Health and Nutrition Examination Surveys 2017–2020 was used. Participants without valid transient elastography (TE) measurements, incomplete alcohol consumption report, or with alternative etiologies of liver steatosis were excluded.ResultsA total of 6901 patients were included in the study, of which 106 (1.5%) had MetALD. Overall, MetALD patients showed a metabolic profile that was more similar to patients with alcohol related liver disease (ALD) than MASLD. Specifically, while patients with MetALD showed values in‐between MASLD and ALD for body mass index (BMI), aspartate transaminase (AST), alanine transaminase (ALT), gamma glutamyltransferase (GGT) and haemoglobin A1c, they had similar high‐density lipoprotein cholesterol (HDL‐C), blood pressure, prevalence of diabetes and insulin resistance to ALD patients. Increasing alcohol consumption was associated with lower insulin resistance and A1c and higher triglycerides, HDL‐C and blood pressure. Moreover, while AST, ALT and GGT increased with alcohol consumption, this did not translate into worse hepatic steatosis or liver fibrosis by TE.ConclusionsMetALD patients share some characteristics with MASLD, but they resemble ALD patients more, especially after adjusting for BMI. Alcohol consumption produces a dissociation between insulin resistance and some cardiometabolic risk factors (blood pressure and HDL‐C), which may make the current classification of patients challenging.
The Fatty Acid Profile of the Deep‐Sea Gastropod Parvaplustrum wareni Indicates a Dominant Role of Chemosynthesis in the Nutrition of the Hydrothermal Vent Ecosystem (Piip Volcano)
Authors: Rodkina S. A. 
Published: August 2024

ABSTRACTThe gastropod Parvaplustrum wareni (Parvaplustridae) is an important faunal component in the ecosystem of deep‐sea hydrothermal vents of the Piip submarine volcano, Bering Sea. To highlight trophic relationships in this ecosystem, the fatty acid (FA) composition of the hydrothermal gastropod P. wareni has been studied. This is one of the few studies analyzing FA compositions of gastropods in a hydrothermal vent ecosystem. The major polyunsaturated FAs of this mollusk are represented by n‐3 and n‐6 FAs: arachidonic acid (20:4n‐6), eicosapentaenoic acid (20:5n‐3), docosatetraenoic acid (22:4n‐6), and docosapentaenoic acid (22:5n‐3). The low level of FA markers of phytoplankton suggests an insignificant role of organic matter created by photosynthesis in the nutrition of P. wareni. A high level of monounsaturated FAs (more than 70% of total FAs) dominated by palmitoleic (16:1n‐7) and cis‐vaccenic (18:1n‐7) FAs indicates the bacterial nutrition of the mollusk. In general, the analysis of the P. wareni FA composition has allowed a conclusion that the organic matter created by chemosynthesis provides a favorable basis for the P. wareni population to thrive in the hydrothermal vents of the Piip volcano.
Recent speciation and adaptation to aridity in the ecologically diverse Pilbara region of Australia enabled the native tobaccos (Nicotiana; Solanaceae) to colonize all Australian deserts
Authors: Cauz‐Santos Luiz A. , Samuel Rosabelle , Metschina Dominik , Christenhusz Maarten J. M. , Dodsworth Steven , Dixon Kingsley W. , Conran John G. , Paun Ovidiu , Chase Mark W. 
Published: August 2024

AbstractOver the last 6 million years, the arid Australian Eremaean Zone (EZ) has remained as dry as it is today. A widely accepted hypothesis suggests that the flora and fauna of arid regions were more broadly distributed before aridification began. In Australia, this process started around 20 million years ago (Ma), leading to gradual speciation as the climate became increasingly arid. Here, we use genomic data to investigate the biogeography and timing of divergence of native allotetraploid tobaccos, Nicotiana section Suaveolentes (Solanaceae). The original allotetraploid migrants from South America were adapted to mesic areas of Australia and recently radiated in the EZ, including in sandy dune fields (only 1.2 Ma old), after developing drought adaptations. Coalescent and maximum likelihood analyses suggest that Nicotiana section Suaveolentes arrived on the continent around 6 Ma, with the ancestors of the Pilbara (Western Australian) lineages radiating there at the onset of extreme aridity 5 Ma by locally adapting to these various ancient, highly stable habitats. The Pilbara thus served as both a mesic refugium and cradle for adaptations to harsher conditions, due to its high topographical diversity, providing microhabitats with varying moisture levels and its proximity to the ocean, which buffers against extreme aridity. This enabled species like Nicotiana to survive in mesic refugia and subsequently adapt to more arid conditions. These results demonstrate that initially poorly adapted plant groups can develop novel adaptations in situ, permitting extensive and rapid dispersal despite the highly variable and unpredictable extreme conditions of the EZ.
A simple comparative model of worker‐managed and capital‐managed digital platforms
Authors: Belloc Filippo 
Published: August 2024

AbstractWe develop a simple model to study the comparative statics of worker‐managed (WM) and capital‐managed (CM) app‐based labor platforms. The model assumes that algorithmic management makes free‐riding and collective decision‐making costs negligible and highlights different pay policies as the distinctive feature differentiating WM and CM platforms, in an environment where workers are financially constrained and capital markets are imperfect. With very simple algebra, we show that WM platforms may show greater cost efficiency and may be better able to benefit from network effects with respect to CM competitors. Yet, viability of WM firms may be critically impeded by the extra‐cost of the external capital, which enables CM platforms to pay a wage premium. The optimal pay policy of CM platforms is shown to vary depending on the intensity of network effects. Reported anecdotal evidence is compatible with main model's results.
Gradient boosting decision trees to study laboratory and field performance in pavement management
Authors: Berangi Mohammadjavad , Lontra Bernardo Mota , Anupam Kumar , Erkens Sandra , Van Vliet Dave , Snippe Almar , Moenielal Mahesh 
Published: August 2024

AbstractInconsistencies between performance data from laboratory‐prepared and field samples have been widely reported. These inconsistencies often result in inaccurate condition prediction, which leads to inefficient maintenance planning. Traditional pavement management systems (PMS) do not have the appropriate means (e.g., mechanistic solutions, extensive data handling facilities, etc.) to consider these data inconsistencies. With the growing demand for sustainable materials, there is a need for more self‐learning systems that could quickly transfer laboratory‐based information to field‐based information inside the PMS. The article aims to present a future‐ready machine learning‐based framework for analyzing the differences between laboratory and field‐prepared samples. Developed on the basis of data obtained from field and laboratory data, the gradient‐boosting decision trees‐based framework was able to establish a good relationship between laboratory performance and field performance (R2test > 80 for all models). At the same time, the framework could also show more complex relationships that are often not considered in practice.
Asphalt property prediction through high‐throughput molecular dynamics simulation
Authors: Wu Meng , Li Miaomiao , You Zhanping 
Published: August 2024

AbstractThe relationship between saturate, aromatic, resin, and asphaltene (SARA) contents and asphalt properties remains unclear. This study aimed to propose a high‐throughput molecular dynamics simulation framework and demonstrate its application in rapidly building asphalt molecular models of various SARA ratios and predicting their properties, using density as an example. Based on the framework, 400 models with varying SARA ratios with different aging degrees were generated to calculate their densities and used to train machine learning algorithms. The ordinary least squares model achieved R2 values exceeding 80%, and quantitative formulas linking asphalt density to SARA ratios were derived. It was found that saturate content negatively correlates with asphalt density, while resin content positively correlates with asphalt density. Additionally, asphalt density and viscosity increase with aging, influenced simultaneously by the SARA ratio and aging degree. Overall, this paper creates a rapid, high‐throughput molecular simulation pathway to predict asphalt behavior.
Plant diversity darkspots for global collection priorities
Authors: Ondo Ian , Dhanjal‐Adams Kiran L. , Pironon Samuel , Silvestro Daniele , Colli‐Silva Matheus , Deklerck Victor , Grace Olwen M. , Monro Alexandre K. , Nicolson Nicky , Walker Barnaby , Antonelli Alexandre 
Published: August 2024

Summary

More than 15% of all vascular plant species may remain scientifically undescribed, and many of the > 350 000 described species have no or few geographic records documenting their distribution. Identifying and understanding taxonomic and geographic knowledge shortfalls is key to prioritising future collection and conservation efforts.

Using extensive data for 343 523 vascular plant species and time‐to‐event analyses, we conducted multiple tests related to plant taxonomic and geographic data shortfalls, and identified 33 global diversity darkspots (those ‘botanical countries’ predicted to contain most undescribed and not yet recorded species). We defined priority regions for future collection according to several socio‐economic and environmental scenarios.

Most plant diversity darkspots are found within global biodiversity hotspots, with the exception of New Guinea. We identify Colombia, Myanmar, New Guinea, Peru, Philippines and Turkey as global collection priorities under all environmental and socio‐economic conditions considered.

Our study provides a flexible framework to help accelerate the documentation of global plant diversity for the implementation of conservation actions. As digitisation of the world's herbaria progresses, collection and conservation priorities may soon be identifiable at finer scales.
Diversity and pathogenicity of Fusarium spp. isolated from cultivated sorghum stems and roots in eastern Australia
Authors: Gunasinghe Niroshini , Vaghefi Niloofar , Shivas Roger G. , Tan Yu Pei , Jordan David , Mace Emma , Martin Anke 
Published: August 2024

AbstractStalk and root rots of cultivated sorghum (Sorghum bicolor) are caused by several Fusarium species worldwide. This study evaluated Fusarium diversity, pathogenicity and population structure amongst 212 isolates obtained from 169 sorghum plants from commercial field crops in eastern Australia. Sequences of translation elongation factor‐1α (tef‐1α), RNA polymerase II largest subunit (rpb1), RNA polymerase II second largest subunit (rpb2) and calmodulin (cmdA) were used to construct multilocus phylogenies that enabled the identification of 16 Fusarium species in Fusarium chlamydosporum species complex (FCSC), Fusarium fujikuroi species complex (FFSC), Fusarium incarnatum‐equiseti species complex and Fusarium oxysporum species complex (FOSC). The majority of isolates (n = 171) belonged to FFSC. The pathogenicity of 17 selected isolates was determined by artificial inoculation of sorghum seedlings and completing Koch's postulates. Isolates of species in FFSC were significantly (p < 0.05) more aggressive as root pathogens in sorghum seedlings than isolates of other species tested and widely distributed across all sampling sites. Amongst the 35 isolates of FOSC, 26 belonged to Fusarium cili, which is only known as an endophyte from healthy roots of Rosa roxburghii in China. Fusarium sporodochiale (in FCSC) and Fusarium contaminatum (in FOSC) are reported as sorghum seedling root rot pathogens for the first time.
Severe manifestation of plasma cell mucositis in a patient with autism spectrum disorder: A unique overlap illustrating challenges with diagnosis and management
Authors: Turkstani Heba , Alfaifi Afrah , Ramachandran Maya , Bushra Ahmedi , Stoopler Eric , France Katherine 
Published: August 2024

AbstractPlasma cell mucositis (PCM) is a rare inflammatory condition affecting the oral tissues, often triggered by allergens or inflammation. Autism spectrum disorder (ASD), a neurodevelopmental condition, poses unique challenges in oral care and hygiene due to behavioral and sensory issues. These conditions have not previously been reported in concert but may share risk factors including through the development of inflammation. We present a case of severe PCM in a 23‐year‐old male with ASD, illustrating diagnostic complexities and management strategies. The patient presented with widespread and severe lesions, raising the possibility of underlying causes. After multiple interventions, including topical steroids and trigger avoidance, the patient achieved near‐complete resolution of the oral lesions. Immunohistochemical and serological investigations suggested an underlying monoclonal gammopathy, warranting hematological evaluation. Our case shows how PCM and ASD can affect each other, highlighting the importance of understanding how these conditions interact, and the need for tailored approaches to oral health in this population. Further research is needed to elucidate any pathophysiological or risk‐based link between ASD and inflammatory oral conditions and to refine management strategies for PCM in patients with neurodevelopmental disorders.
Automated Generalization of Contour Cluster Considering Multi‐Scale Structural Similarity Relations
Authors: Wang Rong , Yan Haowen , Jin Juanli , Gao Xiaorong 
Published: August 2024

ABSTRACTUnlike the simplification of individual lines, the generalization of contour clusters oriented to geographical features is a structured generalization behavior that extracts knowledge of geographical features form the perspective of spatial cognition. In decision level, terrain generalization is essentially a similarity transformation between the geomorphic structures corresponding to multi‐scale contour cluster. However, the multi‐scale structural similarity relations are not directly connected with the application of contour generalization. Therefore, this paper presents an automated method for terrain contour structured generalization considering multi‐scale structural similarity. Firstly, a drainage tree structure is constructed from contour lines to establish associations between valley branches and contour bends. Then, the quantitative relationships between multi‐scale structural similarity and map scale changes are explored using an indirect quantitative expression method. Finally, the contour structural generalization is fully automated through iterative optimization principle based on the multi‐scale structural similarity relations. The experiment results demonstrate the rationality and feasibility of fully automating the contour generalization process based on multi‐scale geomorphic structural similarity relations. And the proposed method not only overcomes the challenge of determining “how much to select” in map generalization, but also is valuable for enriching the content of spatial similarity relations and map generalization, thereby providing a theoretical method system and support for the construction of national basic vector databases.
Low‐Frequency Trajectory Map‐Matching Method Based on Probability Interpolation
Authors: Wang Wenkai , Yu Qingying , Duan Ruijia , Jin Qi , Deng Xiang , Chen Chuanming 
Published: August 2024

ABSTRACTWith the widespread worldwide adoption of location‐based service technologies, accurate and reliable driving trajectories have become crucial. However, because of the inherent deficiencies of sensor devices, accurate road matching results may not always be obtained directly from trajectory data, which poses a challenge for many location and trajectory based services. Existing map‐matching techniques mainly focus on high‐sampling‐rate trajectory data while paying relatively less attention to low‐frequency trajectory data. Low‐sampling‐rate trajectory data have greater matching difficulties than high‐sampling‐rate data owing to the limited available information. Moreover, in the case of signal loss or interference, the accuracy of map‐matching algorithms can decrease significantly for low‐sampling‐rate data. To achieve accurate map‐matching results for low‐sampling‐rate trajectory data, this study proposes a map‐matching algorithm based on probability interpolation. First, the trajectory data are denoised to eliminate redundant trajectory points. Second, the concept of the probability truth value is introduced to handle the relationship between the interpolated virtual points and actual sampled trajectory points accurately. A higher probability truth value indicates a higher confidence level of the interpolation. Third, the denoised trajectory data are interpolated and a probability truth value is assigned based on the interpolation accuracy. Finally, a comprehensive probability composed of the probability truth value, emission probability, and transition probability is used to determine the correctly matched road segments. Experimental results on real trajectory datasets demonstrated that the proposed algorithm outperformed several advanced algorithms in terms of accuracy and performance.
Illustrating a Splatial Framework to Aging: Absolute, Relative, Relational, and Mental Space in Singapore
Authors: Feng Chen‐Chieh , Chin Wei Chien Benny , Gao Siyao , Chua Vincent , Ho Elaine Lynn‐Ee 
Published: August 2024

ABSTRACTUnderstanding the interactions between older adults and their living spaces is an important research topic within the human dynamics of geographical scholarship because of their implications on the quality of aging. The prevailing theory of aging tends to stress aging in place which associates aging well with the home and community, thus inadvertently privileging residential neighborhoods as the focal point where older adults spend most of their time. Recent studies have, however, suggested that older adults also age in (social) networks that extend beyond their neighborhoods' physical locations. The need to incorporate perspectives on aging in networks has challenged the prioritization and the enforcement of absolute (or physical) space in GIS software. This study investigates the potential for integrating four top‐level spaces (absolute, relative, relational, and mental) to capture different dimensions of older adults' everyday lives. By leveraging on a dataset of older adults in Singapore, this study demonstrates how the four spaces combined facilitates understanding of aging, specifically their activity spaces, that would otherwise be achieved in a fragmented manner.