bluuebunny/crossref_metadata_2025_split huggingface dataset:
Morin overcomes doxorubicin resistance in human breast cancer by inducing DNA damage and modulating the LKB1/AMPK/mTORC1 signaling pathway
Authors: Maharjan Sushma , Lee Min‐Gu , Lee Kyu‐Shik , Nam Kyung‐Soo 
Published: August 2024

AbstractBreast cancer chemoresistance hampers chemotherapy efficacy; researchers investigate the pharmacological activities of natural products for potential solutions. This study aimed to determine the effect of morin, a bioflavonoid isolated from Maclura pomifera, on two Dox‐resistant human breast cancer cell lines MDA‐MB‐231 (MDA‐DR) and MCF‐7 (MCF‐DR). Sulforhodamine B and colony‐forming assays demonstrated the cytotoxic effect of morin on both cell lines. Morin induced DNA damage and reduced the DNA repair mechanism, a feature of chemoresistance. In addition, morin reduced the protein expressions of cell cycle regulators, such as cyclin D1, CDK4, cyclin E1, cyclin B1, and p‐Rb, thereby halting cell cycle progression. Moreover, morin slightly reduced PARP and Bcl‐xL expressions but left LC3‐II and RIPK3 expressions unchanged. Annexin‐V/7‐AAD analysis showed morin increased 7‐AAD positive cells and annexin‐V positive cells among MDA‐DR and MCF‐DR cells, respectively. In addition, morin increased p‐AMPK and p‐LKB1 levels; and, thus, inhibited phosphorylation of the mTOR pathway, but decreased t‐AMPK levels by inducing lysosomal degradation, and AICAR, an AMPK activator, reduced Raptor, cyclin D1, CDK4, cyclin E1 and phosphorylated, and total mTOR levels, indicating AMPK is a key player in inducing cell death. Also, morin modulated MAPK phosphorylation and attenuated p‐Akt and p‐GSK3αβ levels; and thus, inhibited cell survival. In addition, morin suppressed tumor growth in our MDA‐DR xenografted mouse model. These findings indicate that morin is a potential treatment for Dox‐resistant breast cancer and that it does so by inducing DNA damage and modulating the LKB1/AMPK/mTORC1 pathway, along with regulating the MAPK, and Akt/GSK3αβ signaling pathways.
Serum metabolome analysis reveals medicinal fungi Phellinus igniarius ameliorated type 2 diabetes mellitus indications in rats via modulation of amino acid and carbohydrate metabolism
Authors: Xia Jingyao , Deng Yuling , Ying Youyou , Pan Junzhi , Xu Xiangwei , Tao Yi 
Published: August 2024

AbstractMedicinal fungi Phellinus igniarius exhibited hypoglycemic effects; however, the protective mechanisms of P. igniarius on type 2 diabetes are not yet fully understood. Herein, the anti‐diabetic effect of P. igniarius was investigated via gas chromatography–mass spectrometry (GC/MS)‐based metabolome analysis. The rats were divided into normal group; model group; positive group; and groups treated with low, medium, and high dose of P. igniarius. After the treatments, a significant decrease in blood glucose concentration was observed. The levels of total cholesterol and triglyceride were dramatically decreased, whereas the level of insulin was increased. Multivariate statistical analysis revealed 31 differential endogenous metabolites between model group and normal group. A total of 14, 28, and 31 biomarkers were identified for low, medium, and high dose of P. igniarius treated groups, respectively. Twenty‐one of the biomarkers were validated by using standard substances. The linear correlation coefficients ranged from 0.9990 to 1.0000. The methodology exhibited good repeatability, recoveries, and stability. The major intervened metabolic pathways covered glyoxylate and dicarboxylic acid metabolism; alanine, aspartate, and glutamate metabolism; and glycine, serine, and threonine metabolism. Our metabolome analysis has provided insights into the underlying mechanism of P. igniarius on type 2 diabetes.
Size‐exclusion LC‐UV/HRMS based method for the analysis of aggregates in synthetic GLP‐1 analog liraglutide and evaluation of excipient impact on aggregation
Authors: Badgujar Devendra , Bawake Sanket , Chawathe Ashwini , Sharma Nitish 
Published: August 2024

AbstractPeptide aggregation is one of the key challenges associated with the development of therapeutic peptides. Peptide and protein aggregates are considered as one of the most important critical quality attributes (CQA). Therapeutic liraglutide (LGT) is proteinaceous in nature, and aggregation can be triggered by various environmental stress condition. Therefore, it is essential to separate and identify aggregation states of such drugs. In this study, we have established size exclusion chromatography‐liquid chromatography‐ultraviolet/high resolution mass spectrometry (SEC‐LC‐UV/HRMS) method to separate and identify the stress induced LGT aggregates. LGT samples were subjected to photolytic, thermal, freeze thaw and shaking stress conditions. Additionally, LGT solution was incubated with surfactant and excipient that are commonly used in peptide formulation, to evaluate their impact on aggregation level and physicochemical stability over time. The developed SEC method was also validated for specificity, accuracy, precision and linearity. The results of this study will be useful for investigators to monitor LGT aggregates during product development.
Aligning incentives for implementing reversible bonding as a circular economy innovation
Authors: Van Opstal Wim , Smeets Anse , Pals Emma 
Published: August 2024

AbstractA transition towards a circular economy (CE) often involves the development and adoption of novel technologies and business models. Its implementation, however, requires a close collaboration within and between organizations along supply chains. In this paper, we investigate incentive alignment for the implementation of reversible bonding, a technique that enables separating materials on demand. We use data from semi‐structured interviews with supply chain actors in manufacturing and construction and identify its potential for process optimization and improved repair, refurbishment, and recycling opportunities. Quality, safety, and performance are identified as the most important boundary conditions while split incentive problems tend to impede the implementation of reversible bonding. Switch costs, a lacking market demand, and insufficient mandatory regulations cause split incentive problems, which may be aggravated or mitigated by several market imperfections. Recommendations include investing in collaborative capabilities within organizations and an ex‐ante identification of split incentive problems when constructing circular supply chain governance mechanisms.
Investigation of instability in the dynamic behaviour of a bubble
Authors: Li Qiang , Lu Shaobo , Liu Jialin , Lei Mao , Gao Jiahan , Xu Weiwei 
Published: August 2024

AbstractIn order to obtain the laws of the bubble's dynamic behaviours, the interFoam solver in OpenFOAM was used to simulate the bubbles, and the experimental device was built to prove the reliability of the results. The Eötvös number (Eo) and the Galileo number (Ga) were used to classify the bubbles into four regions according to their different dynamic behaviours: straight line without deformation region, slight zigzag without deformation region, zigzag with slight deformation region, and zigzag with strong deformation region. Eo of bubbles in the straight line without deformation region is extremely small and is greatly influenced by surface tension. The bubbles do not deform and rise linearly along the axis of symmetry. Eo of bubbles in the slight zigzag without deformation region is still small and the bubbles do not deform, but the path is curved for a period of time. As the value of Eo increases, the bubble in the zigzag with the slight deformation region is weakened. The path is a regular zigzag, and the axisymmetric structure of the bubbles is destroyed. In the zigzag with the strong deformation region, the values of Eo and Ga are large. The path amplitude increases and the periodic law is broken. The bubble's deformation and vortex shedding interact with each other, both of which are the causes of the bubble's path instability.
M‐DFCPP: A runtime library for multi‐machine dataflow computing
Authors: Luo Qiuming , Liu Senhong , Huang Jinke , Li Jinrong 
Published: August 2024

SummaryThis article designs and implements a runtime library for general dataflow programming, DFCPP (Luo Q, Huang J, Li J, Du Z. Proceedings of the 52nd International Conference on Parallel Processing Workshops. ACM; 2023:145‐152.), and builds upon it to design and implement a multi‐machine C++ dataflow library, M‐DFCPP. In comparison to existing dataflow programming environments, DFCPP features a user‐friendly interface and richer expressive capabilities (Luo Q, Huang J, Li J, Du Z. Proceedings of the 52nd International Conference on Parallel Processing Workshops. ACM; 2023:145‐152.), enabling the representation of various types of dataflow actor tasks (static, dynamic and conditional task). Besides that, DFCPP addresses the memory management and task scheduling for non‐uniform memory access architectures, while other dataflow libraries lack attention to these issues. M‐DFCPP extends the capability of current dataflow runtime libraries (DFCPP, taskflow, openstream, etc.) and capable of multi‐machine computing, while maintains the API compatible with DFCPP. M‐DFCPP adopts the concepts of master and follower (Dean J, Ghemawat S. Commun ACM. 2008;51(1):107‐113; Ghemawat S, Gobioff H, Leung ST. ACM SIGOPS Operating Systems Review. ACM; 2003:29‐43.), which form a worksharing framework as many multi‐machine system. To shift to the M‐DFCPP framework, a filtering layer is inserted to the original DFCPP, transforming it into followers that can cooperate with each other. The master is made of modules for scheduling, data processing, graph partition, state management and so forth. In benchmark tests with workload with directed acyclic graph topology of binary trees and random graphs, DFCPP demonstrated performance improvements of 20% and 8%, respectively, compared to the second fastest library. M‐DFCPP consistently exhibits outstanding performance across varying levels of concurrency and task workloads, achieving a maximum speedup of more than 20 over DFCPP, when the task parallelism exceeds 5000 on 32 nodes. Moreover, M‐DFCPP, as a runtime library supporting multi‐node dataflow computation, is compared with MPI, a runtime library supporting multi‐node control flow computation.
COVID‐19 Posttraumatic Effects on Perinatal Psychological Distress: A Cross‐Sectional Study at the End of the Pandemic Health Emergency
Authors: Caffieri Alessia , Fabbricatore Rosa , Margherita Giorgia 
Published: August 2024

ABSTRACTIntroductionPsychological distress in pregnant and postpartum women increased during the COVID‐19 pandemic. However, the impact of the pandemic in perinatal women at the end of the health emergency has been rarely studied. This study is aimed at investigating the psychological health of pregnant and postpartum women at the end of the COVID‐19 public health emergency, hypothesizing that the COVID‐19‐related fears influence perinatal psychological distress via the mediation of the COVID‐19‐related posttraumatic impact and loneliness.MethodsA total of 200 women in the perinatal period, of which 125 were pregnant and 75 were postpartum, participated in an online survey at the end of the COVID‐19 public health emergency in Italy. Depression, anxiety, stress, loneliness, posttraumatic impact of COVID‐19 pandemic and COVID‐19‐related fears were assessed. To test the hypotheses, robust serial mediation analyses were performed.ResultsIncreased levels of COVID‐19‐related fears were associated with an increase in perinatal depression, anxiety and stress indirectly through the serial mediation of COVID‐19 posttraumatic impact and loneliness. Loneliness played a stronger role in mediating the relationship between COVID‐19‐related fears and depression than anxiety and stress outcomes.ConclusionsThis study should be considered exploratory for its methodological characteristics and nonreplicability of the pandemic condition. However, this study suggests the importance of assessing posttraumatic reactions to ‘collective’ crises in pregnant and postpartum women for research and clinical practice. In addition, it sustains the role of loneliness as a transversal construct that should be greatly considered in targeting psychological interventions for women in the perinatal period.
Fish with slow life‐history cope better with chronic manganese exposure than fish with fast life‐history
Authors: Uusi‐Heikkilä Silva , Salonen Jouni K. , Karjalainen Juha S. , Väisänen Ari , Hippeläinen Johanna , Hämärvuo Teemu , Kuparinen Anna 
Published: August 2024

AbstractAnimals with different life‐history types vary in their stress‐coping styles, which can affect their fitness and survival in changing environments. We studied how chronic exposure to manganese sulfate (MnSO4), a common aquatic pollutant, affects life‐history traits, physiology, and behavior of zebrafish (Danio rerio) with two life‐history types: fast (previously selected for fast juvenile growth, early maturation, and small adult body size) and slow life histories (selected for slow juvenile growth, late maturation, and large adult body size). We found that MnSO4 had negative effects on growth and condition factors, but the magnitude of these effects depended on the life‐history type. Individuals with fast life histories were more susceptible to MnSO4 than fish with slow life histories as they had lower growth rate, condition factor and feeding probability in high MnSO4 concentrations. Our results demonstrate that MnSO4 can impair fish performance, and life‐history variation can modulate the stress‐coping ability of individuals.
Genomics of ecological adaptation in Canary Island Descurainia (Brassicaceae) and comparisons with other Brassicaceae
Authors: Jackson Amy C. , Carine Mark A. , Chapman Mark A. 
Published: August 2024

AbstractOceanic archipelagos provide striking examples of lineages that have radiated over pronounced ecological gradients. Accompanying this diversification, lineages have evolved adaptations allowing survival in extreme environments. Here, we investigate the genomic basis of ecological adaptation in Canary Island Descurainia (Brassicaceae), an island relative of Arabidopsis. The seven endemic species have diversified in situ along an elevational and ecological gradient, from low‐elevation scrub to high‐elevation sub‐alpine desert. We first generated a reference genome for Descurainia millefolia, phylogenetic analysis of which placed it as sister to D. sophioides. Ninety‐six gene families were found to be specific to D. millefolia and a further 1087 and 1469 gene families have expanded or contracted in size, respectively, along the D. millefolia branch. We then employed genome re‐sequencing to sample 14 genomes across the seven species of Canary Island Descurainia and an outgroup. Phylogenomic analyses were consistent with previous reconstructions of Canary Island Descurainia in resolving low‐ and high‐elevation clades. Using the branch‐site dN/dS method, we detected positive selection for 275 genes on the branch separating the low‐ and high‐elevation species and these positively selected genes (PSGs) were significantly enriched for functions related to reproduction and stress tolerance. Comparing PSGs to those in analyses of adaptation to elevation and/or latitude in other Brassicaceae, we found little evidence of widespread convergence and gene reuse, except for two examples, one of which was a significant overlap between Descurainia and Draba nivalis, a species restricted to high latitudes. The study of Canary Island Descurainia suggests that the transition to high‐elevation environments such as that found in the high mountains of the Canary Islands involves selection on genes related to reproduction and stress tolerance but that repeated evolution across different lineages that have evolved into similar habitats is limited, indicating substantially different molecular trajectories to adaptation.
Does introduced European Phragmites australis experience belowground microbial enemy release in North America?
Authors: Lee Sean F. H. , Chapman Samantha K. , Mozdzer Thomas J. , Eller Franziska , Langley J. Adam 
Published: August 2024

AbstractEscape from native range enemies can give invasive species a competitive edge according to the enemy‐release hypothesis. While more commonly associated with predators and herbivores, release from belowground microbial antagonists has been recently demonstrated to benefit invasive plants. Biogeographic variation in dominance and comparisons of soil communities suggest that invasive European Phragmites australis may have also benefitted from belowground enemy release in North America (NA). Here we examine the effects of native range (Europe) versus introduced range (NA) soil communities on European and North American P. australis using a reciprocal inoculation seedling growth experiment. Contrary to the enemy‐release hypothesis, we found that North American P. australis was sensitive to soil community origin in that the seedlings grown in European soil communities had higher total biomass than seedlings grown in North American soil communities. This pattern was not observed in the European P. australis seedlings which had similar biomass when grown with North American or European soil communities. Notably, North American P. australis had higher biomass than European P. australis regardless of which soil community it was grown in, suggesting a growth–defense tradeoff. Though the relative abundance of mutualists and pathogens composition did not differ between the two ranges, an indicator analysis revealed that mutualistic fungi and bacteria were key components of European soil communities but not in North American communities. Interestingly, North American soil communities had lower β diversity than European communities suggesting higher levels of community conservation among North American populations. This research represents the first evidence of growth–defense trade‐offs in North American P. australis and offers a novel mechanism in understanding the invasion of P. australis in NA.
Illuminating the collective learning continuum in the Colorado River Basin Science‐Policy Forums
Authors: Hovis Meredith , Gerlak Andrea K. , Heikkila Tanya , Rittelmeyer Pam , Koebele Elizabeth , Méndez‐Barrientos Linda Estelí , Lubell Mark 
Published: August 2024

AbstractAlthough considerable research over the past two decades has examined collective learning in environmental governance, much of this scholarship has focused on cases where learning occurred, limiting our understanding of the drivers and barriers to learning. To advance knowledge of what we call the “collective learning continuum,” we compare cases of learning to cases where learning was not found to occur or its effects were “blocked.” Through semi‐structured interviews with key stakeholders in science‐policy forums in the Colorado River Basin, a large and complex river basin in western North America, we examine differences and patterns that explain moments of learning, blocked learning, or non‐learning, drawing insights from the collective learning framework. Our results find various factors that influence learning, blocked learning, and non‐learning. We discover technical and social factors as common drivers of both learning and blocked learning. In contrast, we find more structural factors associated with non‐learning. At the same time, the cases reveal insights about the role of political factors, such as timing, legal constraints, and priorities, which are underdeveloped in the collective learning framework. Overall, these findings advance theoretical knowledge of the collective learning continuum and offer practical insights that may strengthen the coordination of science and management for effective governance within the Basin.
Comparative analysis of chemical elements and metabolites in diverse garlic varieties based on metabolomics and ionomics
Authors: Meng Junjun , Zhong Haitao , Chu Xue , Guo Jinxiu , Zhao Shiyuan , Shen Tao , Sun Wenxue , Wang Jianhua , Jiang Pei 
Published: August 2024

AbstractAs a plant classified under the “medicine food homology” concept, garlic offers various health benefits and comes in many different varieties. In this study, the metabolite composition of different garlic varieties were analyzed using LC–MS/MS quadrupole‐Orbitrap mass spectrometry and ICP‐MS. A total of 30 chemical elements and 1256 metabolites were identified. Significant differences in chemical elements and metabolomics profiles were observed among the five garlic groups (VIP > 1.5). Compared to WG, PG contained 5 unique compounds, HG had 15 unique compounds, SCG had 18 unique compounds, and SBG had 26 unique compounds. Furthermore, the results showed that WG had smaller differences with PG and HG, but significant differences with SBG and SCG. KEGG analysis revealed metabolic pathways associated with the formation of differential metabolites. These findings uncover the differences and mechanisms in the composition of various garlic varieties, providing a theoretical foundation for distinguishing the nutritional components of different garlic types.
Global 24 solar terms phenological MODIS normalized difference vegetation index dataset in 2001–2022
Authors: Yang Jingyu , Wu Taixia , Sun Xiying , Liu Kai , Farhan Muhammad , Zhao Xuan , Gao Quanshan , Yang Yingying , Shao Yuhan , Wang Shudong 
Published: August 2024

AbstractPhenology reflects the life cycle of vegetation, crucial for monitoring global vegetation diversity, ecosystem stability, and agricultural security. However, there is currently no dataset related to phenology. The 24 solar terms (24STs), based on the Sun's annual motion, reflect the changing seasons, temperature fluctuations, and phenological phenomena. They serve as a vital means to characterize vegetation phenology. This study generate a global Normalized Difference Vegetation Index (NDVI) product based on 24STs using Moderate Resolution Imaging Spectroradiometer (MODIS) on the Google Earth Engine (GEE). The 24STs NDVI dataset adopted the maximum value compositing (MVC) to process the NDVI values between two adjacent 24STs. The product has a spatial resolution of 250 m, covering the period from 2001 to 2022. Comparing with the MOD13Q1, good spatiotemporal consistency between the two datasets was observed, confirming the reliability of the 24STs product. However, the 24STs product holds distinct phenological meanings. This product introduces, for the first time, a vegetation index dataset based on the 24STs, enriching the vegetation index dataset and facilitating further research on phenology.
Experiential Training in Psychedelic‐Assisted Therapy: A Risk‐Benefit Analysis
Authors: Rosenbaum Daniel , Hare Crystal , Hapke Emma , Herman Yarissa , Abbey Susan E. , Sisti Dominic , Buchman Daniel Z. 
Published: August 2024

AbstractWell‐trained, competent therapists are crucial for safe and effective psychedelic‐assisted therapy (PAT). The question whether PAT training programs should require aspiring therapists to undergo their own PAT—commonly referred to as “experiential training”—has received much attention within the field. In this article, we analyze the potential benefits of experiential training in PAT by applying the framework developed by Rolf Sandell et al. concerning the functions of any training therapy (the therapeutic, modeling, empathic, persuasive, and theoretical functions). We then explore six key domains in which risks could arise through mandatory experiential training: physical and psychological risks; negative impact on therapeutic skill; justice, equity, diversity, and inclusion; dual relationships; privacy and confidentiality; and undue pressure. Ultimately, we argue that experiential training in PAT should not be mandatory. Because many PAT training programs already incorporate experiential training methods, our exploration of potential harms and benefits may be used to generate comprehensive risk‐mitigation strategies.