bluuebunny/crossref_metadata_2025_split huggingface dataset:
Correlates of K-12 Students’ Intertextual Integration
Authors: Espinas Daniel R. , Chandler Brennan W. 
Published: May 2024

AbstractWe conducted a systematic review of research involving K-12 students that examined associations among individual differences factors (e.g., working memory) and intertextual integration. We identified 25 studies published in 23 peer-reviewed journal articles and two dissertations/theses. These examined a wide range of individual difference factors, which we organized into four categories: (a) language and literacy, (b) cognition and metacognition, (c) knowledge and beliefs, and (d) motivation, emotion, and personality. We found large variation in the participants, tasks, and document types, and little systematic replication across studies. Nonetheless, results generally showed that variation in literacy, cognition, metacognition, knowledge, beliefs, and motivation are positively and moderately associated with intertextual integration. We discuss the limitations of this work and offer four recommendations for future research.
Inhibitors application time and pasture canopy capture regulate gaseous losses of urine-N
Authors: Adhikari Kamal P. , Luo Jiafa , Saggar Surinder , Giltrap Donna 
Published: May 2024

AbstractTechnologies have been developed for the in-situ treatment of urine patches deposited by grazing livestock to mitigate nitrogen (N) losses using N transformation inhibitors. For this mitigation to be effective, close contact between the applied inhibitors and the N in the urine patch is required (similar to N-fertilisers coated with inhibitors). This research aimed to determine the proportions of urine-N that mixed with inhibitor at or exceeding the threshold concentration (inhibitor concentration at which the nitrification rate is reduced by at least 40%) when inhibitors were applied to simulated urine patches at 4, 24 and 48 h after synthetic urine application. Three commonly used nitrification inhibitors (NIs) [dicyandiamide (DCD), 3,4-dimethylpyrazole phosphate (DMPP), and 2-chloro-6-(trichloromethyl) pyridine (nitrapyrin)] were applied at 40 mL of inhibitor per urine-patch at two different concentrations. The field studies were undertaken in two dairy-grazed pasture soils with contrasting drainage. Large proportions of applied NIs (38%–59% DCD, 27%–58% DMPP, and 31%–58% nitrapyrin) were retained in the pasture canopy. In most cases, the inhibitor threshold concentration was present only within the top 0–20 mm of the soil, with only 16%–40% of the urine-N present. In some cases, the proportions of urine-N intercepted was 12%–15% higher when inhibitors were applied 4 h after urine application compared to delayed application of 24 and 48 h after urine application. Our results revealed that a substantial proportion of N in the urine-patch remained out of the reach of the inhibitor solution. This is possibly due to the small volume (40 mL per 2 L urine patch, 1:50) of the inhibitors applied, with up to 59% of inhibitor solution retained in the pasture canopy. The time delays (4 to 48 h) between the urine deposition and the inhibitor application could have also contributed to this poor physical mixing between inhibitor and urine. Increasing the volume of water applied with the inhibitor and assessing the effect of rainfall/irrigation on increasing urine-N and inhibitor mixing warrants further consideration.
The Liouville current of holomorphic quadratic differential metrics
Authors: Shi Jiajun 
Published: May 2024

AbstractIn this paper we study the Liouville current of flat cone metrics coming from a holomorphic quadratic differential. Anja Bankovic and Christopher J. Leininger proved in Bankovic and Leininger (Trans Am Math Soc 370:1867–1884, 2018) that for a fixed closed surface, there is an injection map from the space of flat cone metrics to the space of geodesic currents. We manage to show that metrics coming from holomorphic quadratic differentials can be distinguished from other flat metrics by just looking at the geodesic currents. The key idea is to analyze the support of Liouville current, which is a topological invariant independent of the metric, and get information about cone angles and holonomy. The holonomy part involves some subtlety of relationship between singular foliation and geodesic lamination. We also obtain a new proof of a classical result that almost all simple geodesics of a quadratic differential metric will be dense in the surface. Furthermore, for other flat cone metrics, there is no simple dense geodesic.
Fractional Analysis of Magnetohydrodynamics Maxwell Flow Over an Inclined Plate with the Effect of Thermal Radiation
Authors: Abbas Shajar , Nisa Zaib Un , Gilani Syeda Farzeen Fatima , Nazar Mudassar , Metwally Ahmed Sayed M. , Jan Ahmed Zubair 
Published: May 2024

AbstractThis current study provides a comprehensive examination of a novel method for studying the dynamics of a fractionalized Maxwell flow near an inclined plate, considering non-uniform mass transfer through a permeable media. Through the use of partial differential equations, incorporating heat and mass movement effects, the study employs a combination of generalized Fick’s and Fourier’s law with the Caputo operator. Transforming the fractionalized model into dimensionless form using appropriate dimensionless values, semi-analytical solutions for the non-dimensional transmitted fractional model are obtained via the Laplace transformation method. Through graphical analysis, the precise contributions of key parameters such as heat generation, radiation, and chemical reactions are elucidated, including their impacts on the calculated heat generation parameter (Qo), radiation parameter (Nr), and others. The study’s significance lies in its implications for the design of efficient heat exchangers, fluid flow systems, and cooling components in complex engineering systems, including nuclear reactors and power generation plants. Furthermore, the fractional derivative approach offers a more accurate representation of the viscoelastic behavior of materials like polymers, crucial for optimizing fabrication processes such as extrusion and molding. The insights gained from this study extend to the realm of miniaturized fluidic devices, including bio-analysis tools, lab-on-a-chip technology, and microfluidic drug delivery systems, where improved performance and control need a grasp of Maxwell fluid dynamics. The physical outcome of this research lays the groundwork for future investigations that will maximize heat transfer efficiency in real-world systems and give insightful information on the behavior of complicated fluids. We compute and display the skin friction, mass and heat transfer rate in tabular form.
A Local Approach to Parameter Space Reduction for Regression and Classification Tasks
Authors: Romor Francesco , Tezzele Marco , Rozza Gianluigi 
Published: May 2024

AbstractParameter space reduction has been proved to be a crucial tool to speed-up the execution of many numerical tasks such as optimization, inverse problems, sensitivity analysis, and surrogate models’ design, especially when in presence of high-dimensional parametrized systems. In this work we propose a new method called local active subspaces (LAS), which explores the synergies of active subspaces with supervised clustering techniques in order to carry out a more efficient dimension reduction in the parameter space. The clustering is performed without losing the input–output relations by introducing a distance metric induced by the global active subspace. We present two possible clustering algorithms: K-medoids and a hierarchical top–down approach, which is able to impose a variety of subdivision criteria specifically tailored for parameter space reduction tasks. This method is particularly useful for the community working on surrogate modelling. Frequently, the parameter space presents subdomains where the objective function of interest varies less on average along different directions. So, it could be approximated more accurately if restricted to those subdomains and studied separately. We tested the new method over several numerical experiments of increasing complexity, we show how to deal with vectorial outputs, and how to classify the different regions with respect to the LAS dimension. Employing this classification technique as a preprocessing step in the parameter space, or output space in case of vectorial outputs, brings remarkable results for the purpose of surrogate modelling.
Scale Dependence of Distributions of Hotspots
Authors: Wilkinson Michael , Veytsman Boris 
Published: May 2024

AbstractWe consider a random field $$\phi ({\textbf{r}})$$

ϕ
(
r
)

in d dimensions which is largely concentrated around small ‘hotspots’, with ‘weights’, $$w_i$$

w
i

. These weights may have a very broad distribution, such that their mean does not exist, or is dominated by unusually large values, thus not being a useful estimate. In such cases, the median $${\overline{W}}$$

W
¯

of the total weight W in a region of size R is an informative characterisation of the weights. We define the function F by $$\ln {\overline{W}}=F(\ln R)$$

ln

W
¯

=
F

(
ln
R
)

. If $$F'(x)>d$$

F
′

(
x
)

>
d

, the distribution of hotspots is dominated by the largest weights. In the case where $$F'(x)-d$$

F
′

(
x
)

-
d

approaches a constant positive value when $$R\rightarrow \infty $$

R
→
∞

, the hotspots distribution has a type of scale-invariance which is different from that of fractal sets, and which we term ultradimensional. The form of the function F(x) is determined for a model of diffusion in a random potential.
Experimental and numerical mechanical characterisation of additively manufactured polymeric lattice structures under uniaxial tensile load
Authors: Bruson Danilo , Iuliano Luca , Galati Manuela 
Published: May 2024

AbstractAdditive manufacturing enables the production of lighter, more robust components with intricate features like lattice structures. However, since the mechanical behaviour of lattice structures is not fully characterized, the application of such potential is limited today. The challenge with lattice structures tensile tests is defining a suitable design that fits the standard requirements and process characteristics. In the polymeric powder bed fusion process, the problem is to produce powder-free geometries and to avoid stress concentrations zones, adapting the specimen accordingly. In this regard, numerical simulation may provide insightful information and support the analysis of the deformation mechanisms. This paper analyses a new tensile sample for lattice structures using finite element analysis. The sample is designed following the EN ISO 527 standard prescriptions. An area with a controlled gradation of the lattice relative density is designed to ensure both powder-free voids and fracture localization within the lattice specimen gauge length. Experimental tests are performed to validate the numerical results using a modified body cubic centred topology with two different strut diameters. The specimens are produced in polyamide by powder bed AM process. Due to the complexity of the lattice design, a digital image correlation is used to compute the full range of strains at the macroscopic level. Experimental and numerical strain maps results showed a good agreement. The recorded deviation was attributed to the process-induced defect, such as the geometrical accuracy that, if compensated, boosted the capability of the numerical model to predict the mechanical behaviour of the lattice structure.
ACRE, a class of AP2/ERF transcription factors, activates the expression of sweet potato ß-amylase and sporamin genes through the sugar-responsible element CMSRE-1
Authors: Maeo Kenichiro , Nakaya Yuki , Mitsuda Nobutaka , Ishiguro Sumie 
Published: May 2024

AbstractSugars, synthesized by photosynthesis in source organs, are loaded and utilized as an energy source and carbon skeleton in sink organs, and also known to be important signal molecules regulating gene expression in higher plants. The expression of genes coding for sporamin and β-amylase, the two most abundant proteins in storage roots of sweet potato, is coordinately induced by sugars. We previously reported on the identification of the carbohydrate metabolic signal-responsible element-1 (CMSRE-1) essential for the sugar-responsible expression of two genes. However, transcription factors that bind to this sequence have not been identified. In this study, we performed yeast one-hybrid screening using the sugar-responsible minimal promoter region of the ß-amylase gene as bait and a library composed only transcription factor cDNAs of Arabidopsis. Two clones, named Activator protein binding to CMSRE-1 (ACRE), encoding AP2/ERF transcription factors were isolated. ACRE showed transactivation activity of the sugar-responsible minimal promoter in a CMSRE-1-dependent manner in Arabidopsis protoplasts. Electric mobility shift assay (EMSA) using recombinant proteins and transient co-expression assay in Arabidopsis protoplasts revealed that ACRE could actually act to the CMSRE-1. Among the DEHYDRATION -RESPONSIVE ELEMENT BINDING FACTOR (DREB) subfamily, almost all homologs including ACRE, could act on the DRE, while only three ACREs could act to the CMSRE-1. Moreover, ACRE-homologs of Japanese morning glory also have the same property of DNA-binding preference and transactivation activity through the CMSRE-1. These findings suggested that ACRE plays an important role in the mechanism regulating the sugar-responsible gene expression through the CMSRE-1 conserved across plant species.
The Influence of Extended Reality on Climate Change Education
Authors: Newton Mark H. , Annetta Leonard A. 
Published: May 2024

AbstractClimate change is a nuanced global issue with a scope that is often difficult to fully appreciate. This study examined an undergraduate course focused on the impacts and responses to climate change on the Outer Banks of North Carolina, USA. The course utilized a socioscientific issues (SSI) approach to examine global climate change in a local context that allowed for a deeper understanding of the inequitable impacts on humans and the environment. As part of the class, students were immersed in a 6-day field experience in the Outer Banks to investigate the challenges facing the barrier islands where they visited five sites and used augmented reality (AR) to learn about the impact of climate change at those respected locations. After each experience, the course instructors debriefed with the students to help make sense of the experiences and promote deeper understanding of the issue. Four weeks later, the class immersed in virtual reality (VR) to revisit the same five sites using the same information provided in the AR. Using a constant comparative and inductive analyzes using keywords in context, results suggest both AR and VR enhanced learning experiences. Findings indicated that the students generally felt that the VR experience was a suitable alternative, with the caveat that it cannot replace being immersed in the location, that both technologies increased their engagement, and increased their learning. Conversely, some students reported that the technology impeded their learning.
The Crucial Nexus of Microplastics on Ecosystem and Climate Change: Types, Source, Impacts, and Transport
Authors: Ratnasari Anisa , Zainiyah Isti Faizati , Hadibarata Tony , Yan Lau Yu , Sharma Sunny , Thakur Samrendra Singh 
Published: May 2024

AbstractMicroplastics (MPs) pollution is a significant concern within environmental degradation, prevalent across various ecosystems, including aquatic and terrestrial environments. Industries such as agriculture, laundry, tourism, personal care products, and cosmetics primarily contribute to MP pollution in both soil and aquatic ecosystems. The ingestion of MPs by marine and terrestrial organisms, followed by their subsequent transfer along the food chain, has been extensively documented. Additionally, the presence of MPs in the environment has potentially exacerbated climate change dynamics. Notably, studies have revealed that MPs in soils exhibit interactive effects on nitrogen and carbon cycles, leading to increased emissions of N2O by up to 37.5% and CO2 by up to 92%. Despite numerous studies highlighting MPs' abundance and adverse impacts on terrestrial and aquatic ecosystems, there remains a significant knowledge gap concerning their correlation with climate change and their broader implications for human and environmental health. While previous research has shed light on the ecological consequences of MPs, a comprehensive review addressing the correlation between MPs abundance in terrestrial and aquatic ecosystems and their impact on climate change and human health has yet to be presented. The present study offers a comprehensive overview of various types of MPs, their sources, impacts, and transport pathways under changing climatic conditions. The findings of this study are anticipated to contribute towards mitigating the transport of MPs within ecosystems, thereby minimizing ecological impacts and their associated greenhouse gas emissions.
Efficacy and Safety of Paragastric Neural Blockade in Controlling Pain, Nausea, and Vomiting After Sleeve Gastrectomy: A Randomized Controlled Trial
Authors: Katar Mehmet Kağan , Turan Umut Fırat 
Published: May 2024

Abstract
Background
There are difficulties in controlling the symptoms of pain, nausea, and vomiting after laparoscopic sleeve gastrectomy (LSG). This study aimed to evaluate the efficacy and safety of PGNB on pain and nausea and vomiting in the early postoperative period in patients who underwent LSG.

Methods
In this prospective, randomized, controlled, double-blind study, the patients were divided into two equally formed groups: patients who underwent PGNB after LSG and the control group. Postoperative pain symptoms were evaluated using the visual analog scale (VAS) scores, and nausea and vomiting symptoms were evaluated using the postoperative nausea and vomiting (PONV) scores.

Results
The study was completed with 90 patients, 45 patients in each group. The VAS scores measured at postoperative hours 1, 6, and 12 were statistically significantly lower in the PGNB group. There was no significant difference between the two groups in terms of the 24th hour VAS scores. The mean PONV scores of the PGNB and control groups were 0.47 ± 0.89 and 1.67 ± 1.95, respectively, revealing a significantly higher value for the controls. The mean time to first mobilization in the postoperative period was significantly shorter in the PGNB group. Upon the evaluation of patient satisfaction, it was determined that the satisfaction score of the PGNB group was significantly higher.

Conclusions
PGNB is an effective and safe method for managing pain, nausea, and vomiting that occur in the early period after LSG.

Graphical Abstract
Role of Hypoxia in Mesenchymal Stem Cells from Dental Pulp: Influence, Mechanism and Application
Authors: Ma Muyuan 
Published: May 2024

AbstractMesenchymal stem cells (MSCs) from dental pulp (DP-MSCs), which include dental pulp stem cells (DPSCs) isolated from permanent teeth and stem cells from human exfoliated deciduous teeth (SHED), have emerged as highly promising cell sources for tissue regeneration, due to their high proliferative rate, multi-lineage differentiation capability and non-invasive accessibility. DP-MSCs also exert extensive paracrine effects through the release of extracellular vesicles (EVs) and multiple trophic factors. To be noted, the microenvironment, commonly referred to as the stem cell niche, plays a crucial role in shaping the functionality and therapeutic effects of DP-MSCs, within which hypoxia has garnered considerable attention. Extensive research has demonstrated that hypoxic conditions profoundly impact DP-MSCs. Specifically, hypoxia promotes DP-MSC proliferation, survival, stemness, migration, and pro-angiogenic potential while modulating their multi-lineage differentiation capacity. Furthermore, hypoxia stimulates the paracrine activities of DP-MSCs, leading to an increased production of EVs and soluble factors. Considering these findings, hypoxia preconditioning has emerged as a promising approach to enhance the therapeutic potential of DP-MSCs. In this comprehensive review, we provide a systematic overview of the influence of hypoxia on DP-MSCs, shedding light on the underlying mechanisms involved. Moreover, we also discuss the potential applications of hypoxia-preconditioned DP-MSCs or their secretome in tissue regeneration. Additionally, we delve into the methodologies employed to simulate hypoxic environments. This review aims to promote a comprehensive and systematic understanding of the hypoxia-induced effects on DP-MSCs and facilitate the refinement of regenerative therapeutic strategies based on DP-MSCs.
Graphical Abstract
LncRNA MEG3 Restrains Hepatic Lipogenesis via the FOXO1 Signaling Pathway in HepG2 Cells
Authors: Meng Xiangyu , Long Mei , Yue Nanxi , Li Quan , Chen Jia , Zhao Hongye , Deng Wei 
Published: May 2024

AbstractNonalcoholic fatty liver disease (NAFLD) become a main public health concern, and is characterized by lipid accumulation in the hepatocytes. We found that overexpression of lncRNA MEG3 significantly reduced the expression of FOXO1, ACC1, and FAS, and subsequently decreased the lipid accumulation in HepG2 cells. Moreover, inhibition of lncRNA MEG3 could increase the lipid accumulation and the mRNA and protein levels of FOXO1, ACC1, and FAS. Further study showed that lncRNA MEG3 regulates the lipogenesis process by inhibiting the entry of FOXO1 into the nucleus translocation. Our study demonstrated that lncRNA MEG3 regulates de novo lipogenesis by decreasing the expression and nucleus translocation of FOXO1 in HepG2 cells, suggesting that lncRNA MEG3 could be a promising therapeutic target in lipid metabolic disorders.
HAX1-Overexpression Augments Cardioprotective Efficacy of Stem Cell-Based Therapy Through Mediating Hippo-Yap Signaling
Authors: Cai Wen-Feng , Jiang Lin , Liang Jialiang , Dutta Suchandrima , Huang Wei , He Xingyu , Wu Zhichao , Paul Christian , Gao Xiang , Xu Meifeng , Kanisicak Onur , Zheng Junmeng , Wang Yigang 
Published: May 2024

AbstractAlthough stem/progenitor cell therapy shows potential for myocardial infarction repair, enhancing the therapeutic efficacy could be achieved through additional genetic modifications. HCLS1-associated protein X-1 (HAX1) has been identified as a versatile modulator responsible for cardio-protective signaling, while its role in regulating stem cell survival and functionality remains unknown. In this study, we investigated whether HAX1 can augment the protective potential of Sca1+ cardiac stromal cells (CSCs) for myocardial injury. The overexpression of HAX1 significantly increased cell proliferation and conferred enhanced resistance to hypoxia-induced cell death in CSCs. Mechanistically, HAX1 can interact with Mst1 (a prominent conductor of Hippo signal transduction) and inhibit its kinase activity for protein phosphorylation. This inhibition led to enhanced nuclear translocation of Yes-associated protein (YAP) and activation of downstream therapeutic-related genes. Notably, HAX1 overexpression significantly increased the pro-angiogenic potential of CSCs, as demonstrated by elevated expression of vascular endothelial growth factors. Importantly, implantation of HAX1-overexpressing CSCs promoted neovascularization, protected against functional deterioration, and ameliorated cardiac fibrosis in ischemic mouse hearts. In conclusion, HAX1 emerges as a valuable and efficient inducer for enhancing the effectiveness of cardiac stem or progenitor cell therapeutics.
Graphical Abstract