bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biophysical and molecular characteristics of senescing leaves of two Norway maple varieties differing in anthocyanin content
Authors: Rantala Marjaana , Mulo Paula , Tyystjärvi Esa , Mattila Heta 
Published: August 2023

AbstractDisassembly and degradation of the photosynthetic protein complexes during autumn senescence, a vital step to ensure efficient nutrient relocalization for winter storage, is poorly understood. Concomitantly with the degradation, anthocyanins are often synthesized. However, as to why leaves accumulate red pigments, no consensus exists. One possibility is that anthocyanins protect senescing leaves from excess light. In this study, we investigated the pigment composition, photosynthetic performance, radical production, and degradation of the photosynthetic protein complexes in Norway maple (Acer platanoides) and in its highly pigmented, purple‐colored variety (Faassen's black) during autumn senescence, to dissect the possible roles of anthocyanins in photoprotection. Our findings show that senescing Faassen's black was indeed more resistant to Photosystem II (PSII) photoinhibition, presumably due to its high anthocyanin content, than the green maple. However, senescing Faassen's black exhibited low photosynthetic performance, probably due to a poor capacity to repair PSII. Furthermore, an analysis of photosynthetic protein complexes demonstrated that in both maple varieties, the supercomplexes consisting of PSII and its antenna were disassembled first, followed by the degradation of the PSII core, Photosystem I, Cytochrome b6f, and ATP synthase. Strikingly, the degradation process appeared to proceed faster in Faassen's black, possibly explaining its poor PSII repair capacity. The results suggest that tolerance against PSII photoinhibition may not necessarily translate to a better fitness. Finally, thylakoids isolated from senescing and non‐senescing leaves of both maple varieties accumulated very little carbon‐centered radicals, suggesting that thylakoids may not be a major source of reactive oxygen species in senescing leaves.
Carbohydrate dynamics in Populus trees under drought: An expression atlas of genes related to sensing, translocation, and metabolism across organs
Authors: Fox Hagar , Ben‐Dor Shifra , Doron‐Faigenboim Adi , Goldsmith Moshe , Klein Tamir , David‐Schwartz Rakefet 
Published: August 2023

AbstractIn trees, nonstructural carbohydrates (NSCs) serve as long‐term carbon storage and long‐distance carbon transport from source to sink. NSC management in response to drought stress is key to our understanding of drought acclimation. However, the molecular mechanisms underlying these processes remain unclear. By combining a transcriptomic approach with NSC quantification in the leaves, stems, and roots of Populus alba under drought stress, we analyzed genes from 29 gene families related to NSC signaling, translocation, and metabolism. We found starch depletion across organs and accumulation of soluble sugars (SS) in the leaves. Activation of the trehalose‐6‐phosphate/SNF1‐related protein kinase (SnRK1) signaling pathway across organs via the suppression of class I TREHALOSE‐PHOSPHATE SYNTHASE (TPS) and the expression of class II TPS genes suggested an active response to drought. The expression of SnRK1α and β subunits, and SUCROSE SYNTHASE6 supported SS accumulation in leaves. The upregulation of active transporters and the downregulation of most passive transporters implied a shift toward active sugar transport and enhanced regulation over partitioning. SS accumulation in vacuoles supports osmoregulation in leaves. The increased expression of sucrose synthesis genes and reduced expression of sucrose degradation genes in the roots did not coincide with sucrose levels, implying local sucrose production for energy. Moreover, the downregulation of invertases in the roots suggests limited sucrose allocation from the aboveground organs. This study provides an expression atlas of NSC‐related genes that respond to drought in poplar trees, and can be tested in tree improvement programs for adaptation to drought conditions.
Productivity and reallocation under monopolistic competition: A Micro panel data analysis
Authors: Mhlanga Samuel Vika 
Published: August 2023

AbstractThis article studies the structural aggregate productivity growth (APG) decomposition with demand‐ and supply‐side controls, determines comparative statics predictions for firms and economic outcomes and examines patterns of input distortions. By moving from price‐taking conditions to markets featuring markup heterogeneity for product varieties, the paper finds amplification of production inefficiency from −3.61% to −11.41% and amplification of total factor reallocation from 0.15% to 8.91%. The productivity results are robust to structural variations in the demand function, firm scale adjustment and firm growth. Similarly, input reallocation is robust to variation in demand structure and plant expansion. Furthermore, reallocation under common markups among all firms is robust to reallocation under heterogeneous markups among larger firms. Alternatively, large firms face demand inelasticities and charge higher markups thereby mimicking the behaviour of the survey of all firms. Under autarky, small unproductive plants charge higher markups than their small efficient counterparts. Demand elasticity increases (decreases) with industry output for smaller (larger) plants. Finally, a unit increase in capital intensity for resource‐constrained plants raises labour distortions and reduces capital distortions while reducing capital distortions for resource‐unconstrained firms.
Cultural divergence in children's selective word learning: Korean and Canadian children differ in their trust of adult informants
Authors: Oh Jisoo , Ju Narae , Graham Susan , Choi Youngon 
Published: August 2023

AbstractAlthough children generally regard adults as more knowledgeable than their peers, an informant's past accuracy trumps age when in conflict. In a recent study, however, Korean 5‐year‐olds were more likely to trust a less accurate adult informant over a more accurate peer informant when learning new information. To examine whether such a pattern was attributable to the cultural influence of shaping early respect for the elderly among Korean children, a pattern of selective label endorsement was examined among Canadian 5‐year‐olds, who were raised under different cultural values, relatively putting less emphasis on social relationships than individual expressions (Experiment 1). We also investigated Korean 6–7‐year‐olds’ selective endorsement pattern when the informant's past accuracy conflicted with the informant's age to examine how cultural influences shift as children develop (Experiment 2). When the adult was 25% accurate in labeling familiar objects, relative to the 75% accurate child informant, Canadian 5‐year‐olds tended to endorse the label offered by the child, demonstrating a prioritization of the epistemic cue over the social cue. By comparison, Korean 6–7‐year‐olds were equally likely to choose between two informants, showing difficulty disregarding inaccurate adults, even when they always mislabeled familiar objects. These results offer insight into cultural influences on the development of selective word learning and suggest the relative weighing of social and epistemic cues evolves with development.
Exploring basic science knowledge retention within a cohort of undergraduate medical students in the United Kingdom: A longitudinal study
Authors: Zafar Idrees , Chilton John , Edwards James , Watson Helen , Zahra Daniel 
Published: August 2023

AbstractBackgroundClinical reasoning is reliant on students having acquired a strong foundation in the basic sciences. However, there remains uncertainty regarding whether medical students are maintaining this knowledge over the span of their degrees. Therefore, this project aimed to assess long‐term retention of basic science knowledge within a cohort of students from an undergraduate medical school in the United Kingdom (UK).MethodsThis longitudinal study followed a cohort of students, from their first to final year. In their final year, participants sat a bespoke formative basic science knowledge assessment that utilised 46 single‐best‐answer questions. To examine for long‐term attainment differences, these scores were compared with those achieved in first‐year assessments.ResultsOf the eligible students, 40% partook in the study (n = 22). Comparing assessment scores highlighted an enhancement in overall basic science knowledge between first and final year (p < 0.01). Although most basic science domains remained unchanged between both time points, anatomy and physiology scores increased (p = 0.03 and p = 0.02, respectively), whereas biochemistry scores were the only ones to decrease (p = 0.02).DiscussionThis project provides insight into how well students are retaining the basic sciences during their studies. Underperforming science domains were identified, alongside pedagogical explanations for their individual shortcomings; for instance, students' perceived relevance of a domain is seen as a driver for its retention. Subsequently, a group of recommendations were derived to reinforce the most affected domains. The inclusion of more questions on the underperforming sciences, in clinically focussed assessments, is one such suggestion.
DeepIndoorCrowd: Predicting crowd flow in indoor shopping malls with an interpretable transformer network
Authors: Chu Chen , Zhang Hengcai , Wang Peixiao , Lu Feng 
Published: August 2023

AbstractAccurate and interpretable prediction of crowd flow would benefit business management and public security. The existing studies are challenged to adapt to the indoor environment due to its complex and dynamic spatial interaction patterns. In this study, we propose a crowd flow predicting method for indoor shopping malls, which simultaneously features temporal variables and semantic factors to suit the shopping mall environment. A deep learning model named DeepIndoorCrowd is presented. The model aims at capturing temporal dependencies and the semantic pattern in crowd flow to generate an accurate multi‐horizon prediction. With a multi‐term temporal dependency capturing structure, the model is effective in learning both daily and weekly patterns of the indoor crowd flow in a shopping mall and is able to provide the temporal interpretation of the prediction result. Moreover, a semantic‐temporal fusion module is introduced to utilize the semantic information of stores in prediction, which has proved to be effective in enhancing the model's ability to learn temporal patterns. Experiments were conducted on a real‐world dataset to verify the proposed approach. The ablation study demonstrates that the DeepIndoorCrowd can effectively improve the efficiency and accuracy of the prediction up to 18.7%. In addition, some interesting indoor crowd flow patterns were discovered by analyzing the model's interpretation of the prediction result. The proposed prediction method provides an intuitive way of modeling indoor crowd flow, and the experiment's outcome can help indoor managers better understand stores' flow traffic.
Natural variation in Arabidopsis responses to Plasmodiophora brassicae reveals an essential role for Resistance to Plasmodiophora brasssicae 1 (RPB1)
Authors: Ochoa Juan Camilo , Mukhopadhyay Soham , Bieluszewski Tomasz , Jędryczka Małgorzata , Malinowski Robert , Truman William 
Published: August 2023

SUMMARYDespite the identification of clubroot resistance genes in various Brassica crops our understanding of the genetic basis of immunity to Plasmodiophora brassicae infection in the model plant Arabidopsis thaliana remains limited. To address this issue, we performed a screen of 142 natural accessions and identified 11 clubroot‐resistant Arabidopsis lines. Genome‐wide association analysis identified several genetic loci significantly linked with resistance. Three genes from two of these loci were targeted for deletion by CRISPR/Cas9 mutation in resistant accessions Est‐1 and Uod‐1. Deletion of Resistance to Plasmodiophora brassicae 1 (RPB1) rendered both lines susceptible to the P. brassicae pathotype P1+. Further analysis of rpb1 knock‐out Est‐1 and Uod‐1 lines showed that the RPB1 protein is required for activation of downstream defence responses, such as the expression of phytoalexin biosynthesis gene CYP71A13. RPB1 has recently been shown to encode a cation channel localised in the endoplasmic reticulum. The clubroot susceptible Arabidopsis accession Col‐0 lacks a functional RPB1 gene; when Col‐0 is transformed with RPB1 expression driven by its native promoter it is capable of activating RPB1 transcription in response to infection, but this is not sufficient to confer resistance. Transient expression of RPB1 in Nicotiana tabacum induced programmed cell death in leaves. We conclude that RPB1 is a critical component of the defence response to P. brassicae infection in Arabidopsis, acting downstream of pathogen recognition but required for the elaboration of effective resistance.
EXPERIMENTAL INVESTIGATION STRATEGIES TO AUGMENT THE DIESEL ENGINE PERFORMANCE AND REDUCTION OF EMISSION CHARACTERISTICS BY THE EFFECT OF WASTE PLASTIC OIL
Authors: Jude Roy J. Nishanth , Premkumar P. , Iqbal S. Mohamed , Balaji A. 
Published: August 2023

The need for biomass to waste plastic oil (WPO) in recent years, as the desire to diversify feedstock and reduce industrial emissions has grown. The technologies for converting biomass to conventional WPO are investigated in this paper. Biomass likes as cow dung and kitchen waste was used as a feed for the anaerobe to generate biogas. This biogas can be effectively utilized for heating purpose of synthesis WPO from waste plastic. WPO conversion process fly ash is used as catalyst with 0.1 cat/pol. WPO blend with different percentages with diesel like 25 % to 100 % WPO ((WPO 25), (WPO 50), (WPO 75) and (WPO 100) ) by volume with pure diesel and run the KIRLOSKAR TV -1 engine. At various engine loads, the impact of WPO blends on engine performance and exhaust emissions were investigated. The results are validated to those of a standard diesel fuel operation. WPO has a greater fuel concept and brake thermal efficiency than diesel. The engine functioned better with WPO25 mix. It is discovered that the NOx, HC, CO2, and smoke emissions are greater than those of diesel.
Multi-Input Multi-Output Robust Control of Turbofan Engines Based on Off-Equilibrium Linearization Linear Parameter Varying Model
Authors: Tang Yifeng , Li Yan , Yang Wenchong , Zhou Wenxiang , Huang Jinquan , Cui Tao 
Published: August 2023

Abstract
The conventional linear parameter varying (LPV) modeling for turbofan engines is performed at a set of equilibrium points, which may result in inaccurate description of dynamics of engines when the engine accelerates/decelerates in a broad range and operates away from the equilibria. Meanwhile, to ensure stable operation of turbofan engines, the engine pressure ratio (EPR) needs to be regulated when turning on afterburner. According to this complex multi-input multi-output (MIMO) problem mixed with disturbances, this paper proposes a hybrid H∞/H2 robust control framework based on off-equilibrium linearization. We first establish an off-equilibrium linearization based polynomial LPV model for the MIMO turbofan engine, and then design an H∞/H2 robust controller by solving sum-of-squares (SOS) programing. The simulation results show that the controller can simultaneously achieve fast dual command tracking and disturbance suppression when turning on afterburner. Furthermore, this control framework is superior to the equilibrium linearization-based controller in many aspects, which further proves the accuracy of the off-equilibrium based LPV model.
Vibro-Acoustic Responses and Pressure Signal Analysis for Early Surge Detection in a Turbocharger Compressor
Authors: Silvestri Paolo , Niccolini Marmont Du Haut Champ Carlo Alberto , Reggio Federico , Ferrari Mario Luigi , Massardo Aristide Fausto 
Published: August 2023

Abstract
High-speed centrifugal compressors may be exploited to pressurize fuel cell systems. Nonetheless, due to fuel cells significant interposed volumes, compressor behavior can lead to severe vibrations related to fluid-dynamic instabilities during part load operating conditions. In particular, surge strongly limits centrifugal compressors stable operating region when moving toward low mass flow rates due to a change in system working point. Therefore, compressor dynamic response must be adequately characterized for early surge detection. To this aim, a dedicated experimental activity was conducted on a vaneless diffuser turbocharger coupled to a solid oxide fuel cell emulator plant; compressor evolution toward surge was investigated. Several signal processing techniques were applied to pressure signals as well as vibro-acoustic responses to better predict compressor behavior and classify its status as stable or unstable. Cepstrum, cross-correlation, and wavelet transform have been identified as suitable techniques to define precursors able to early detect surge. By means of cross-correlation function, propagation phenomena in the ducts can be investigated to assess how they interact near compressor low-mass flowrate unstable conditions. Cepstrum provides a convenient way to determine pressure signal spectrum distortion in terms of further periodic components onset. These harmonic components are due to complex system responses generated by transient phenomena; indeed, cepstrum allows to identify hidden anomalous contributions in system response spectra which may arise in incipient surge conditions. Wavelet transform was performed on both structural and pressure response signals to observe their dominant energy contents temporal evolution; indeed, such spectral pattern time-dependent variation can detect the rise of unstable conditions. By exploiting all these techniques, a complete system identification is performed which allows a deeper investigation of the physical phenomena involved; moreover, a more complete set of surge precursors extracted from different probes' physical signals were defined. The results obtained provide original diagnostic insights for monitoring systems suited to perform early surge detection. Compressor instability prevention can extend its operating range, performance, and reliability to allow better integration with other plant components. Finally, cepstrum application for compressor instability identification can be regarded as a novel method in the fluid machinery field.
On the Performance of Hydrostatic Journal Bearings in Air, Water, and Liquid Nitrogen: Measurements and Predictions
Authors: Jung Hyunsung , Kim Kyuman , Ryu Keun 
Published: August 2023

Abstract
Turbopumps in reusable and low-cost liquid rocket engines require compact and simple hydrostatic (i.e., externally pressurized) bearings to support large static and dynamic loads at high shaft speeds with no bearing DN (diameter in millimeters times rpm) life limitation. Hydrostatic bearings are one of the key mechanical components for cryogenic turbopumps to improve their reliability and reusability. Hydrostatic bearings offer significantly enhanced durability with very low friction and wear while providing accurate rotor positioning as well as large load and static stiffness characteristics even working with low-viscosity liquids. This work measures static load characteristics of hydrostatic journal bearings in air (25 °C), water (from 25 °C to 70 °C), and liquid nitrogen (−197 °C). Air, water, and liquid nitrogen are used as test fluids for the test bearing to evaluate the effects of fluid properties and temperatures on the bearing performance. A complete set of applied static load, bearing eccentricity, and bearing supply pressure for each test fluid (i.e., air, water, and liquid nitrogen) is presented for the test hydrostatic bearing. Measurements show that the applied static load on the test bearing significantly affects the recorded journal eccentricity ratio, bearing flow rate, and bearing static stiffnesses. Predictions are in good agreement with measurements. The predictable performance of hydrostatic journal bearings in air, water, and liquid nitrogen can further their application in various cryogenic turbopumps for liquid rocket engines.
Generation of Entropy Waves by Fully Premixed Flames in a Non-Adiabatic Combustor With Hydrogen Enrichment
Authors: Eder Alexander J. , Dharmaputra Bayu , Désor Marcel , Silva Camilo F. , Garcia Alex M. , Schuermans Bruno , Noiray Nicolas , Polifke Wolfgang 
Published: August 2023

Abstract
Thermoacoustic combustion instability is a major concern in gas turbine combustors with hydrogen-enriched fuels. Unsteady combustion not only generates acoustic waves but it may also result in fluctuations of burnt gas temperature, referred to as entropy waves. They are convected by the mean flow through the combustor and can cause indirect combustion noise when they are accelerated at the exit. In this work, we demonstrate that entropy waves occur in a fully premixed burner due to unsteady heat transfer at the combustion chamber wall. This mechanism of entropy generation is often neglected in the literature. This work shows an additional mechanism in CH4-H2-air flames, through which entropy may be created even in the fully premixed case. This is due to differential diffusion which generates local fluctuations in equivalence and carbon-to-hydrogen ratios. An adiabatic flame temperature is defined based on these two quantities to examine the influence of differential diffusion on the generation of entropy fluctuations. The generation of entropy waves is investigated by applying system identification (SI) to time series data obtained from a broadband forced large eddy simulation (LES) coupled with a heat conduction solver. The entropy transfer function (ETF) and flame transfer function (FTF) identified with LES/SI are then compared to experimental data obtained with tunable diode laser absorption spectroscopy with wavelength modulation spectroscopy (TDLAS-WMS) for measuring temperature fluctuations, and the multimicrophone method, respectively. After validating the computational setup, the entropy frequency response is identified at various positions within the combustion chamber, and the effects of generation and convective dispersion of entropy waves are qualitatively investigated. We show that a fully premixed turbulent system may exhibit significant entropy waves caused by wall heat losses and differential diffusion of hydrogen.
On Frequency/Time Invariance of Certain Temporal and Complex Transfer Functions for the One-Dimensional Interfacial Monochromatic Neutron Density Wave
Authors: Haidar Nassar H. S. 
Published: August 2023

Abstract
Optimization of dynamical multibeam neutron cancer therapy has recently been shown to be possible via employment of the beam frequencies of neutron waves as a control variable. The concepts of transfer functions (TF), addressed in this paper, can be essential ingredients of such optimization. Accordingly, the paper studies the dynamics of a one-dimensional (1D) monochromatic neutron density wave generated by time modulation of a boundary neutron current. It is demonstrated that a certain temporal transfer function (TTF) of both parabolic (diffusion) and low frequency hyperbolic (P−1 transport) interfacial neutron density wave happens to be frequency noninvariant with a vibrating boundary neutron current. It is proved that, only at high frequencies, both parabolic and hyperbolic interfacial neutron waves turn out to have a fully frequency-invariant and time-invariant temporal transfer function relative to such a vibrating neutron beam at the boundary. The frequency response of an associated complex transfer function is studied and demonstrated to change behavior, from a lag compensator to a fixed gain amplifier, with changing the frequency, neutron absorption and employed theory for neutron diffusion. A highlight of this paper is its illustration that mere continuity of these transfer functions can be a reflection of the correctness of the transport theory employed for modeling the neutron density waves.