bluuebunny/crossref_metadata_2025_split huggingface dataset:
Melatonin alleviates UV‐B stress and enhances phenolic biosynthesis in rosemary (Rosmarinus officinalis) callus
Authors: Zhao Zhuowen , Liu Siyu , Yun Cholil , Liu Jianing , Yao Liuyang , Wang Huimei 
Published: August 2024

AbstractAlthough used in in vitro culture to boost secondary metabolite production, UV‐B radiation can seriously affect plant growth if not properly dosed. Rosemary callus can be used as an important source of effective ingredients in the food and medicine industry. To balance the positive and negative effects of UV‐B on rosmary callus, this study investigated the effects of melatonin on rosemary callus under UV‐B radiation. The results showed that melatonin improved rosemary callus growth, with fresh weight and dry weight increased by 15.81% and 8.30%, respectively. The addition of 100 μM melatonin increased antioxidant enzyme activity and NO content in rosemary callus. At the same time, melatonin also significantly reduced membrane lipid damage and H2O2 accumulation in rosemary callus under UV‐B stress, with malondialdehyde (MDA) and H2O2 contents reduced by 13.03% and 14.55%, respectively. In addition, melatonin increased the total phenol and rosmarinic acid contents in rosemary callus by 19% and 54%, respectively. Melatonin significantly improved the antioxidant activity of the extracts from rosemary callus. These results suggest that exogenous melatonin can alleviate the adverse effects of UV‐B stress on rosemary callus by promoting NO accumulation while further enhancing phenolic accumulation and biological activity.
Anti‐Müllerian hormone as a promising novel biomarker for litter size in Romanov sheep
Authors: Turgut Ali Osman , Koca Davut 
Published: August 2024

AbstractAnti‐Müllerian hormone (AMH) is a hormone produced by growing preantral and antral follicles of the ovary. AMH is accepted as an important biomarker for fertility and superovulation parameters in livestock species. This study aimed to evaluate changes in serum AMH level in the oestrous cycle, repeatability of AMH, the effect of age on serum AMH level and the effects of AMH on litter size in Romanov sheep. In the study, a total of 36 Romanov sheep were used as animal material. First blood samples (0th day) were collected from 36 ewes to evaluate AMH and progesterone levels. Second blood samples were collected randomly from 20 ewes 9 days after first sampling to compare AMH levels at two different periods of the oestrous cycle in Romanov ewes. The ewes were categorized into three groups as low, medium and high AMH based on their first AMH levels. Results indicated that serum AMH level did not change during the oestrous and dioestrous phases of the oestrous cycle and two random time points of the oestrous cycle (p > .05). Pearson correlation analysis revealed that there is a high (r = .95) and significant (p < .001) correlation between AMH levels at the 0th (AMH‐1) and 9th (AMH‐2) days. The effect of AMH level on litter size was found to be significant. Litter size was significantly higher in the high AMH group than in the low AMH group (p < .05). In addition, the age of ewes did not affect serum AMH levels (p > .05). ROC analysis indicates that AMH cut‐off value >320 pg/mL with 70% sensitivity and 100% specificity can be used for litter size in Romanov ewes. In conclusion, AMH is highly repeatable and its serum AMH level did not change during the oestrous cycle in Romanov sheep. In addition, AMH affects litter size and can be reliably used as a marker for litter size in Romanov sheep.
Logical interdependencies in infrastructure: What are they, how to identify them, and what do they mean for infrastructure risk analysis?
Authors: Yu David J. , Shin Hoon C. , Olivier Tomás , Garcia Margaret , Meerow Sara , Park Jeryang 
Published: August 2024

AbstractA useful theoretical lens that has emerged for understanding urban resilience is the four basic types of interdependencies in critical infrastructures: the physical, geographic, cyber, and logical types. This paper is motivated by a conceptual and methodological limitation—although logical interdependencies (where two infrastructures affect the state of each other via human decisions) are regarded as one of the basic types of interdependencies, the question of how to apply the notion and how to quantify logical relations remains under‐explored. To overcome this limitation, this study focuses on institutions (rules), for example, rules and planned tasks guiding human interactions with one another and infrastructure. Such rule‐mediated interactions, when linguistically expressed, have a syntactic form that can be translated into a network form. We provide a foundation to delineate these two forms to detect logical interdependence. Specifically, we propose an approach to quantify logical interdependence based on the idea that (1) there are certain network motifs indicating logical relations, (2) such network motifs can be discerned from the network form of rules, and that (3) the higher the frequency of these motifs between two infrastructures, the greater the extent of logical interdependency. We develop a set of such motifs and illustrate their usage using an example. We conclude by suggesting a revision to the original definition of logical interdependence. This rule‐focused approach is relevant to understanding human error in risk analysis of socio‐technical systems, as human error can be seen as deviations from constraints that lead to accidents.
Effectiveness of caring behaviours course on decision‐making and caring behaviours in undergraduate nursing students: An experimental study
Authors: Ayik Cahide , Arslan Gülşah Gürol 
Published: August 2024

AbstractBackgroundAlthough caring is a core principle of the nursing profession, students often lack the knowledge, comprehension and ability to integrate care into all aspects of nursing practice. Students may have few opportunities to practise caring behaviours on patients who create the impression of providing care and elicit a feeling of receiving care. Studies of strategies to enhance caring behaviours in nursing education are limited.AimThis experimental study aimed to examine the effect of nursing caring behaviours course based on interactive learning strategies on the caring behaviours and decision‐making abilities of nursing students.MethodsA purposive sample of 50 undergraduate students was recruited from a faculty of nursing. Students in the intervention group (n = 24) received 2 h of training per week for 14 weeks in accordance with caring behaviours course based on interactive learning strategies including discussion, brainstorming, concept mapping, reflection and simulation training. Nursing students in the control group (n = 26) received training according to other elective courses in the curriculum. Data were measured at the baseline time point, 7th week and 14th week with the Caring Behaviours Inventory and Nursing Decision‐Making Instrument. Chi‐square test, Mann–Whitney U‐test, Friedman test and mixed repeated measures ANOVA were used to assess the data.ResultsNo significant difference was determined in terms of baseline caring behaviours and decision‐making scores between the intervention and control groups (p > 0.05). A significant difference in caring behaviours between the two groups and time effect was not found (p > 0.05). However, there was a significant interaction between time and groups (F = 3.484, p = 0.047). There was a significant increase in the decision‐making in intervention groups over time (F = 9.372, p < 0.001) and interaction between time and groups (F = 4.160, p = 0.019).ConclusionsA deliberate strategy to raise students' awareness of caring behaviours and incorporate interactive learning methods into education enhances both caring behaviours and clinical decision‐making.
Circulating extracellular microvesicles associated with electronic cigarette use increase endothelial cell inflammation and reduce nitric oxide production
Authors: Evanoff Nicholas G. , Dengel Donald R. , Stockelman Kelly A. , Fandl Hannah , DeSouza Noah M. , Greiner Jared J. , Dufresne Sheena R. , Kotlyar Michael , Garcia Vinicius P. 
Published: August 2024

AbstractThe purpose of this study was to determine the effect of circulating microvesicles isolated from chronic electronic (e‐)cigarette users on cultured human umbilical vein endothelial cell (HUVEC) expression of nuclear factor‐κB (NF‐κB), cellular cytokine release, phosphorylation of endothelial nitric oxide synthase (eNOS) and NO production. The HUVECs were treated with microvesicles isolated via flow cytometry from nine non‐tobacco users (five male and four female; 22 ± 2 years of age) and 10 e‐cigarette users (six male and four female; 22 ± 2 years of age). Microvesicles from e‐cigarette users induced significantly greater release of interleukin‐6 (183.4 ± 23.6 vs. 150.6 ± 15.4 pg/mL; P = 0.002) and interleukin‐8 (160.0 ± 31.6 vs. 129.4 ± 11.2 pg/mL; P = 0.01), in addition to expression of p‐NF‐κB p65 (Ser536) (18.8 ± 3.4 vs. 15.6 ± 1.5 a.u.; P = 0.02) from HUVECs compared with microvesicles from non‐tobacco users. Nuclear factor‐κB p65 was not significantly different between microvesicles from the non‐tobacco users and from the e‐cigarette users (87.6 ± 8.7 vs. 90.4 ± 24.6 a.u.; P = 0.701). Neither total eNOS (71.4 ± 21.8 vs. 80.4 ± 24.5 a.u.; P = 0.413) nor p‐eNOS (Thr495) (229.2 ± 26.5 vs. 222.1 ± 22.7 a.u.; P = 0.542) was significantly different between microvesicle‐treated HUVECs from non‐tobacco users and e‐cigarette users. However, p‐eNOS (Ser1177) (28.9 ± 6.2 vs. 45.8 ± 9.0 a.u.; P < 0.001) expression was significantly lower from e‐cigarette users compared with non‐tobacco users. Nitric oxide production was significantly lower (8.2 ± 0.6 vs. 9.7 ± 0.9 μmol/L; P = 0.001) in HUVECs treated with microvesicles from e‐cigarette users compared with microvesicles from non‐tobacco users. This study demonstrated increased NF‐κB activation and inflammatory cytokine production, in addition to diminished eNOS activity and NO production resulting from e‐cigarette use.Highlights
What is the central question of this study?Circulating microvesicles contribute to cardiovascular health and disease via their effects on the vascular endothelium. The impact of electronic (e‐)cigarette use on circulating microvesicle phenotype is not well understood.
What is the main finding and its importance?Circulating microvesicles from e‐cigarette users increase endothelial cell inflammation and impair endothelial nitric oxide production. Endothelial inflammation and diminished nitric oxide bioavailability are central factors underlying endothelial dysfunction and, in turn, cardiovascular disease risk. Deleterious changes in the functional phenotype of circulating microvesicles might contribute to the reported adverse effects of e‐cigarette use on cardiovascular health.
Review on Carousel Heliostat Designs
Authors: Pfahl Andreas 
Published: August 2024

Abstract
An overview of carousel heliostats is given. The general advantages and disadvantages are explained first. To distinguish between the different designs, possible variants of the carousel architecture and of the main components are described. Most of these variants can be found in the designs published so far, which are briefly presented. Finally, the cost efficiency of carousel heliostats in general is discussed.
In Situ Monitoring and Recognition of Printing Quality in Electrohydrodynamic Inkjet Printing via Machine Learning
Authors: Jiang Liangkui , Wolf Rayne , Alharbi Khawlah , Qin Hantang 
Published: August 2024

Abstract
Electrohydrodynamic (EHD) printing is an additive manufacturing technique capable of microscale and nanoscale structures for biomedical, aerospace, and electronic applications. To realize stable printing at its full resolution, the monitoring of jetting behavior while printing and optimization of the printing process are necessary. Various machine vision control schemes have been developed for EHD printing. However, in-line machine vision systems are currently limited because only limited information can be captured in situ toward quality assurance and process optimization. In this article, we presented a machine learning-embedded machine vision control scheme that is able to characterize jetting and recognize the printing quality by using only low-resolution observations of the Taylor Cone. An innovative approach was introduced to identify and measure cone-jet behavior using low-fidelity image data at various applied voltage levels, stand-off distances, and printing speeds. The scaling law between voltages and the line widths enables quality prediction of final printed patterns. A voting ensemble composed of k-nearest neighbor (KNN), classification and regression tree (CART), random forest, logistic regression, gradient boost classifier, and bagging models was employed with optimized hyperparameters to classify the jets to their corresponding applied voltages, achieving an 88.43% accuracy on new experimental data. These findings demonstrate that it is possible to analyze jetting status and predict high-resolution pattern dimensions by using low-fidelity data. The voltage analysis based on the in situ data will provide additional insights for system stability, and it can be used to establish the error functions for future advanced control schemes.
Additive Manufacturing of Tough Silicone Via Large-Scale, High-Viscosity Vat Photopolymerization
Authors: Song Hongtao , Rodriguez Nicholas A. , Oakdale James S. , Duoss Eric B. , Seepersad Carolyn C. , Crawford Richard H. 
Published: August 2024

Abstract
In this work, a large-scale, high-viscosity vat photopolymerization additive manufacturing system is designed and fabricated to print 3D structures as large as 370 × 300 × 370 mm3 out of high-viscosity, low-reactivity elastomeric resins. A detailed overview is presented of the printer's design and capabilities, including a resin processing sub-system that stores and spreads high-viscosity resin; a roll-to-roll variable tensioning system to mitigate the separation forces after printing each layer; and a light patterning system that generates high-intensity light patterns across an area of 370 × 300 mm2 with a resolution of 3840 × 4320 pixels. The ability to print with both high-viscosity and low-reactivity resins and resins that require high-intensity light enables additive manufacturing of new classes of materials that could not be printed previously using vat photopolymerization techniques. These materials include highly reinforced silica nanoparticle composites, high-molecular-weight polymers such as silicones and acrylate or methacrylate resins, and low-reactivity resins such as photocurable platinum-catalyzed liquid silicone rubber.
Experimental Exploration of Cellulose Material for Battery Separators and Artificial Neural Network-Driven Predictive Modeling for Enhanced Thermal Safety in Electric Vehicles
Authors: Fetene Melkam Gebeyehu , Dolla Dereje Arijamo , Wang Chin-Cheng , Varkey James K. , Chavan Santosh , Kim Sung Chul 
Published: August 2024

Abstract
Lithium-ion batteries (LIBs) are the most reliable energy storage devices nowadays because of their high energy density, long life cycle, and low self-discharge rate. But still, the safety concern is a significant problem in the area. When talking about LIB safety, thermal effects come first; this leads to thermal runaway, fires, and explosions. The critical component of LIB that has a great role in safety is the separator, which serves the purpose of preventing direct contact between the positive and negative electrodes while enabling the movement of lithium ions. This work aimed to find naturally available cellulose material for the LIB separator and to predict the performance of the material by artificial neural network (ANN) for better control of thermal problems that happen with traditional polymer separator materials. The cellulose derived from banana peels is isolated and characterized for its potential use as a separator material. The study conducts the four selected characterization approaches, scanning electronics microscopy (SEM) with three different resolutions to assess the morphology of the extracted cellulose, differential scanning calorimetry (DSC) to measure the heat flow with temperature change on the cellulose and the value obtained 231.22 J/g at a maximum temperature of 323.18 °C, thermogravimetric analysis (TGA) was used to examine the weight loss of the cellulose with respect to temperature variation, which results in a weight loss of 59.37% when the temperature reaches 235 °C, which is considered favorable, and a differential thermal analysis (DTA) was used to know the temperature difference in the banana peel cellulose (BPC), which results in a temperature of 330.23 °C. This morphological and thermal analysis technique for the BPC is used to determine the heat-related properties of the BPC, including phase transitions, thermal stability, and reaction. In addition, these results show BPC as an alternative material for separators in comparison to the existing polymer-based materials. Furthermore, these experimental results are used to train an ANN to predict the performance of BPC material using a binary classification. Because of the training process, 97.58% accuracy was achieved.
Resolvent Analysis for Subsonic Compressor With Impedance Boundary Condition Casing Treatment
Authors: Sun Dakun , Hu Jiahao , Xu Ruize , Li Jia , Dong Xu , Xu Dengke , Sun Xiaofeng 
Published: August 2024

Abstract
A resolvent analysis framework for the axial compressor is established, and the impedance optimization is achieved based on the resolvent analysis framework for the impedance boundary condition casing treatment. This framework is derived by treating the nonlinearity in the perturbation equations as an unknown forcing, the linear relationship between wall impedance and energy gains is obtained. The validity of this framework is confirmed through experiments on rotating inlet distortion, which captures the most susceptible frequency for the stall points of the compressor. The resolvent analysis framework further confirms that the first-order circumferential mode exhibits the highest energy in the given cases. Subsequently, the proposed impedance optimization method is tested under throttling operating conditions, especially focusing on the first-order circumferential mode. The introduction of a favorable impedance boundary condition notably reduces energy gain within the low-order circumferential mode and in the range of the rotor rotating frequency, particularly in near-stall operating conditions. The energy suppression mechanism of the impedance boundary condition casing treatment is investigated, demonstrating that the impedance boundary condition, with an optimal impedance value, significantly suppresses perturbations compared to the case with the solid wall boundary condition. Lastly, a design method for the impedance boundary condition casing treatment is discussed, offering a reliable theoretical design tool for enhancing the stall margin of axial compressors.
Peri-Gondwanan sediment in the Arkoma Basin derived from the north: The detrital zircon record of a uniquely concentrated non-Laurentian source signal in the late Paleozoic
Authors: Smith Tyson M. , Dechesne Marieke , Hirtz Jaime A.M. , Sharman Glenn R. , Hudson Mark R. , Lutz Brandon M. , Griffis Neil 
Published: August 2024

AbstractDuring the assembly of Pangea, peri-Gondwanan terranes collided with the eastern and southern margins of Laurentia and brought with them unique detrital zircon U-Pb signatures. Discriminating between individual peri-Gondwanan terranes in the detrital record is difficult due to their similar geologic histories. However, characterization of this provenance is critical for understanding late Paleozoic sediment routing during development of Pangea. Along southeastern Laurentia, in the Arkoma Basin (present-day Arkansas and eastern Oklahoma, southeastern United States), we identified Middle Pennsylvanian (Desmoinesian) strata that exhibit a concentrated peri-Gondwanan detrital zircon signature (e.g., ca. 800–550 Ma). Although several southern peri-Gondwanan terranes (e.g., Maya, Suwannee) are closer to the Arkoma Basin, geologic data, such as predominantly north-to-south paleocurrents and proximal-to-distal facies relationships in these Desmoinesian strata, support a northern source (e.g., Ganderia, Avalonia, Meguma). Further evidence of a northern source comes from detrital zircon source mapping, which reveals the persistence of this peri-Gondwanan signal in depocenters to the north of the basin after the signal had diminished in the Arkoma Basin. To this end, bottom-up detrital zircon source modeling, source mapping, regional stratigraphy, paleocurrent data, and sandstone petrography allow us to reconstruct the evolution of this Middle Pennsylvanian (Desmoinesian) sediment pathway in the context of intraplate and plate-margin tectonic activity. This reconstruction documents processes affecting Earth's surface (e.g., tectonics, climate) during the assembly of Pangea and describes in detail part of a dynamic continental-scale drainage system.
Serpentinization of the forearc mantle wedge in subduction zones: revisiting Roy D. Hyndman’s seminal contributions 25 years later
Authors: Peacock Simon M. , Bostock Michael G. 
Published: August 2024

In this paper, we focus on the serpentinization of the forearc mantle wedge, just one of Roy Hyndman’s many contributions to our understanding of subduction zones. Over the past 25 years, numerous advances in geophysics, petrology, and geology clearly document that H2O-rich fluids, derived from the subducting plate, hydrate portions of the overlying mantle to form serpentinite. The extent of mantle-wedge serpentinization depends, to first approximation, on the thermal evolution of the subducting plate. Dehydration reactions in warm subducting slabs occur at shallow (<100 km) depth making relatively large amounts of H2O available for forearc mantle-wedge hydration; in cool subduction zones, dehydration reactions occur at greater depth and less H2O is available to directly hydrate the shallow mantle wedge. High-resolution seismological studies, complemented by numerical modelling, reveal that serpentinization in a subduction zone varies spatially, with strong evidence for a serpentinite layer at the base of the mantle wedge. Serpentinite mineralogy plays an important role in controlling the rheologic behaviour of the subduction plate interface, but appears not to control the downdip extent of large thrust earthquakes as originally proposed. Weak serpentinite along the base of the mantle wedge acts to mechanically isolate the forearc mantle wedge from induced corner flow, and serpentinized regions of the forearc mantle wedge may localize deformation. Rare mantle-wedge earthquakes may reflect the subvertical flow of fluids along fractures. Future work in well-instrumented subduction zones is expected to clarify the spatial distribution and extent of serpentinization in the forearc mantle wedge.