bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis of New Structural Analogues of Natural Integrastatins with a Basic Epoxybenzo[7,8]oxocine Skeleton: Combined Experimental and Computational Study
Authors: Kulakov Ivan V. , Stalinskaya Alena L. , Chikunov Semyon Y. , Pustolaikina Irina A. , Gatilov Yuri V. 
Published: November 2023

AbstractIn this work, the cyclization reactivity of various 3-acetyl-2-methylpyridines (including 3-acetyl-2-methylquinoline) containing both electron donor and acceptor substituents with salicylaldehyde into epoxybenzooxocino[4,3-b]pyridine derivatives was studied. The reactions were carried out in mild (under room temperature or reflux in 2-propanol) and harsh (in a sealed glass ampoule) conditions. It was shown that 3-acetyl-2-methylpyridines with an aryl substituent in the 4-position do not react with salicylaldehyde either under normal convection heating conditions or under more severe conditions. This effect was explained by the steric hindrance of the substituents using quantum chemical calculations. It was found that electron donor substituents in 3-acetyl-2-methylpyridines significantly facilitate cyclization in epoxybenzooxocino[4,3-b]pyridines. The presence of electron acceptor substituents (NO2 group for example) in the 5-position of pyridine prevents cyclization under normal conditions, but gives a rather high conversion to oxocinopyridines under more specific conditions. This effect is quantum-chemically explained by the decrease in the basicity of pyridine. Pyridines with two pairs of methyl groups in ortho-positions to the acetyl group are capable to form mixtures of regioisomeric epoxybenzooxocinopyridines. Further, epoxybenzooxocinopyridines with methyl and acetyl groups can form a mixture of diastereomeric bisoxocins under more specific conditions. All 17 initial pyridines were studied quantum-chemically in order to understand what features of their structure and properties affect the success of the cyclization reaction and the yield of the target product. The pyridine molecules were calculated by the DFT RB3LYP/6-311++G(d,p) method taking into account the alcohol solvent within the CPCM model using Gaussian-2016 program. It was shown that the absence of steric hindrances in the form of bulky substituents in 4-position of pyridines is the main factor affecting the success of the cyclization reaction. Also, the yield of the target product is affected by the CH-acidity of the methyl group in 2-position, which, in turn, is affected by electron-donating and electron-withdrawing substituents in the 5- and 6-positions.
Cytokine Levels in Neonates: Unveiling the Impact of Perinatal Inflammation on Prematurity
Authors: Benincasa Bianca C. , Rieck Laura G.B. , Procianoy Renato S. , Silveira Rita C. 
Published: November 2023

Objective This study aimed to investigate the association between variations in cytokine levels in the first 72 hours of life and prematurity.
Study Design In this prospective study, we examined the cytokine levels of 110 newborns in the first 72 hours of life. The participants were divided into two groups based on gestational age (66 very preterm and 44 term newborns), and cytokine levels (interleukin [IL]-6, IL-8, and IL-10, tumor necrosis factor-α [TNF-α], and transforming growth factor-β [TGF-β]) were evaluated.
Results Premature newborns exhibited higher levels of IL-6, IL-8, and IL-10, while TNF-α and TGF-β levels were lower comparing to term newborns. Even after adjusting for maternal and peripartum factors, the significant differences persisted.
Conclusion Our study underscores significant cytokine profile differences between full-term and very preterm newborns in early life. Elevated IL-6 and IL-8 levels in preterm infants suggest potential perinatal inflammation links to prematurity.
Key Points
Tempo-spatial construction in human-law-society triangle from the perspective of cognitive semiotics
Authors: Cheng Le , Xu Ming , Ma Guang 
Published: November 2023

AbstractTime and space, habitually seen as the human psychological background, are increasingly being studied as the cognitive foreground for the development and evolution of matters. Via applying the corpus-based method based on the self-complied corpora of the US, the UK, the EU and Chinese data protection laws, this study examines the basic logic framework of time and space, including human psychological representation, semiotic essence, and function, seeking to present a holistic landscape of tempo-spatial construction in humanity, law and society from the perspective of cognitive semiotics. It finds that the human psychological representations in the tempo-spatial construction process contain cyclical time, linear time, place space and field space; the tempo-spatial essence is to express semiotic meanings through social dialogue and power negotiation among legal subjects in social contexts; and the tempo-spatial functions are manifested in mapping cognitive thinking mode of humanity and constructing law and society. It can be argued that legal discourse is the result of the tempo-spatial dialogue between legal subjects that depends on the interaction between society and its members and the overall evolution of its meaning interpretation; the tempo-spatial construction in human-law-society triangle is thus a typical intersemiotic operation. This study demonstrates the utility of sign of time and sign of space as a cognitive perspective in discourse construction and maps the strong interdependence between humanity, law and society.
Exploring homology of fields in translation
Authors: Mengyuan Zhou 
Published: November 2023

Abstract
The translation and reception of contemporary Chinese literature into Portuguese have gained prominence recently but have not received much scholarly attention. This study employs Pierre Bourdieu’s concept of homology to analyze the relationship between translation and various related fields and their impact on translating Chinese contemporary literature in Brazil and Portugal from 2000 to 2022. It highlights how these fields’ interconnectedness has both facilitated and hindered translation practices. The research explores the notion of fields and homology and examines the translation production process, focusing on how the translation field interacts with its academic, educational, and political counterparts. Using the translation of contemporary Chinese literature into Portuguese as a case study, the article suggests that the structural similarity among these fields significantly affects how Chinese literature is translated and received, influencing the choice of works, translation methods, and publishing priorities. Through an extensive analysis, the study bridges Bourdieu’s homology concept with practical scenarios, enhancing the discourse in translation studies and Chinese literature, particularly in the Portuguese context.
Total light bending in non-asymptotically flat black hole spacetimes
Authors: Sánchez Flavio C , Roque Armando A , Rodríguez Benito , Chagoya Javier 
Published: November 2023

Abstract
The gravitational deflection of light is a critical test of modified theories of gravity. A few years ago, Gibbons and Werner introduced a definition of the deflection angle based on the Gauss–Bonnet theorem. In more recent years, Arakida proposed a related idea for defining the deflection angle in non-asymptotically flat spacetimes. We revisit this idea and use it to compute the angular difference in the Kottler geometry and a non-asymptotically flat solution in Horndeski gravity. Our analytic and numerical calculations show that a triangular array of laser beams can be designed so that the proposed definition of the deflection angle is sensitive to different sources of curvature. Moreover, we find that near the photon sphere, the deflection angle in the Horndeski solution is similar to its Schwarzschild counterpart, and we confirm that the shadows seen by a static observer are identical.
Augmented reality technology in teaching about physics: a systematic review of opportunities and challenges
Authors: Vidak Andrej , Movre Šapić Iva , Mešić Vanes , Gomzi Vjeran 
Published: November 2023

Abstract
The use of augmented reality (AR) allows for the integration of digital information onto our perception of the physical world. In this article, we present a comprehensive review of previously published literature on the implementation of AR in physics education, at the school and the university level. Our review includes an analysis of 96 papers from the Scopus and Eric databases, all of which were published between 1st January 2012 and 1st January 2023. We evaluated how AR has been used for facilitating learning about physics. Potential AR-based learning activities for different physics topics have been summarized and opportunities, as well as challenges associated with AR-based learning of physics have been reported. It has been shown that AR technologies may facilitate physics learning by providing complementary visualizations, optimizing cognitive load, allowing for haptic learning, reducing task completion time and promoting collaborative inquiry. The potential disadvantages of using AR in physics teaching are mainly related to the shortcomings of software and hardware technologies (e.g. camera freeze, visualization delay) and extraneous cognitive load (e.g. paying more attention to secondary details than to constructing target knowledge).
Interfacial molecular structure of phosphazene-based polymer electrolyte at the air-aqueous interface using sum frequency generation vibrational spectroscopy
Authors: Kaur Sarabjeet , Tomar Deepak , Chaudhary Monika , Rana Bhawna , Kaur Harsharan , Nigam Vineeta , Jena Kailash C 
Published: November 2023

Abstract
The change induced in the physicochemical properties of polymer while hosting ions provides a platform for studying its potential applications in electrochemical devices, water treatment plants, and materials engineering science. The ability to host ions is limited in very few polymers, which lack a detailed molecular-level understanding for showcasing the polymer-ion linkage behavior at the interfacial region. In the present manuscript, we have employed sum frequency generation (SFG) vibrational spectroscopy to investigate the interfacial structure of a new class phosphazene-based methoxyethoxyethoxyphosphazene (MEEP) polymer in the presence of lithium chloride salt at the air-aqueous interface. The interfacial aspects of the molecular system collected through SFG spectral signatures reveal enhanced water ordering and relative hydrogen bonding strength at the air-aqueous interface. The careful observation of the study finds a synchronous contribution of van der Waals and electrostatic forces in facilitating changes in the interfacial water structure that are susceptible to MEEP concentration in the presence of ions. The observation indicates that dilute MEEP concentrations support the role of electrostatic interaction, leading to an ordered water structure in proximity to diffused ions at the interfacial region. Conversely, higher MEEP concentrations promote the dominance of van der Waals interactions at the air-aqueous interface. Our study highlights the establishment of polymer electrolyte (PE) characteristics mediated by intermolecular interactions, as observed through the spectral signatures witnessed at the air-aqueous interface. The investigation illustrates the polymer-ion linkage adsorption effects at the interfacial region, which explains the macroscopic changes observed from the cyclic voltammetry studies. The fundamental findings from our studies can be helpful in the design and fine-tuning of better PE systems that can offer improved hydrophobic membranes and interface stability for use in electrochemical-based power sources.
Attention features selection oversampling technique (AFS-O) for rolling bearing fault diagnosis with class imbalance
Authors: Han Zhongze , Wang Haoran , Shen Chen , Song Xuewei , Cao Longchao , Yu Lianqing 
Published: November 2023

Abstract
When using data-driven methods for fault diagnosis of mechanical rotating components such as gears and bearings, there is a problem of class imbalance in the lifecycle data collected by sensors. The most commonly used method to address this issue is the synthetic minority over-sampling technique, which synthesizes samples in the feature space, but its blind synthesis may lead to redundant features in the synthetic samples. To avoid this deficiency, this paper proposes a feature-weighted oversampling method called AFS-O (Attention Features Selection Oversampling Technique). First, time–frequency domain features are extracted from the full lifecycle data of bearings to construct an initial subset of features, which serves the input to AFS. Then, AFS is then used to obtain the distribution of feature selection patterns and generate feature weights to determine the inclusion or exclusion of each feature, thereby constructing an optimal subset of features. Finally, the optimal feature subset is synthetically oversampled to achieve class-balanced data, which is then fed into a classifier. AFS-O is applied to the rolling bearing accelerated lifetime dataset from Xi’an Jiaotong University. Experimental results demonstrate that AFS-O outperforms other state-of-the-art synthetic oversampling algorithms in terms of Gmean,

F

2

score

, and Recall, confirming the effectiveness of the proposed method.
Multiple damage segmentation and extraction of wind turbine blades surface under complex background based on SKRT approach
Authors: Wang Mingqing , Zheng Yuqiao , Lang Qifa , Shi Chenglong , Liu Yuhang 
Published: November 2023

Abstract
Machine vision detection technology has been widely used in detecting wind turbine blade surface damage, but the complex background often has a significant impact on blade damage detection. Aiming at the complex background blade images caused by various natural background features, complex blade surface features, low contrast features, non-uniform illumination, weather conditions, and other factors, the work proposes an SKRT segmentation method based on K-means clustering and adaptive threshold fusion to segment and extract multiple damage features on the surface of wind turbine blades with complex backgrounds. Firstly, an single-scale retinex(SSR) algorithm is adopted to enhance the contrast between surface damage and image background in the research. Then the image is roughly segmented by K-means clustering to remove most of the background features, and the background mask is replaced with the peak of the remaining feature image pixels to solve the problem of wrong segmentation. Finally, making use of the adaptive threshold local segmentation method to accurately segment the blade surface damage. The experimental results show that the proposed SKRT segmentation method can significantly improve the segmentation accuracy of wind turbine blade surface damage with complex background, and the accuracy, intersection over union, and F-measure value are increased by 37.20%, 35.71%, and 28.69%, respectively. The method performs better robustness to multiple damage feature segmentation.
High-resolution turbofan intake flow characterization by automated stereoscopic-PIV in an industrial wind tunnel environment
Authors: Kempaiah Kushal U , Piovesan Tommaso , Zachos Pavlos K , Michaelis Dirk , Gebbink Roy , van Rooijen Bart , Prieto Daniel Gil , MacManus David , Sciacchitano Andrea , Sheaf Christopher 
Published: November 2023

Abstract
Unsteady inlet flow distortion can influence the stability and performance of any propulsion system, in particular for more novel, short and slim intakes of future aero-engine configurations. As such, the requirement for measurement methods able to provide high spatial resolution data is important to aid the understanding of these flow fields. This work presents flow field characterisations at a crossflow plane within a short aeroengine intake using stereoscopic particle image velocimetry (SPIV). A series of tests were conducted across a range of crosswind and high angle of attack conditions for a representative short and slim aspirated intake configuration at two operating points in terms of mass flow rate. The velocity maps were measured at a crossflow plane within the intake at an axial position L/D = 0.058 from where a fan is expected to be installed. The diameter of the measurement plane was 250 mm, and the final spatial resolution of the velocity fields had a vector pitch of 1.5 mm which is at least two orders of magnitude richer than conventional pressure-based distortion measurements. The work demonstrates the ability to perform robust non-intrusive flow measurements within modern intake systems in an industrial wind tunnel environment across a wide range of operating conditions; hence, it is suggested that SPIV can potentially become part of standard industrial testing. The results provide rich datasets that can notably improve our understanding of unsteady distortions and influence the design of novel, closely coupled engine-intake systems.
Numerical simulation of nanosecond laser drilling of 316L stainless steel: addition of laser focus and analysis of manufacturing process
Authors: Zhao Junliang , Li Chen , Wang Jing 
Published: November 2023

Abstract
A two-dimensional model of nanosecond laser drilling 316L stainless steel was established with the consideration of laser focus, which was indeed different from the original two-phase flow model without laser focus, especially in the temperature field, velocity field, surface morphology and hole depth. Simulation and experiment of drilling holes with different laser repetition frequencies (100 kHz, 50 kHz and 20 kHz) were carried out. The results show that manufacturing process could divide into three stages: high-efficiency phase, stabilization stage and low-efficiency phase. Meanwhile, the limited number of pulses at 100 kHz, 50 kHz and 20 kHz were obtained, and the values were approximately 289, 367 and 492, respectively. More, the values at 10 kHz and 200 kHz obtained by modeling were very close to those calculated by the fitted equation. All the research provides theoretical, simulation and experimental basis for designing and optimizing parameters on laser surface manufacturing.
Single-crystalline GaN microdisk arrays grown on graphene for flexible micro-LED application
Authors: Fabunmi Tobiloba Grace , Lee Seokje , Kim Han Ik , Yoo Dongha , Lee Jamin , Kim Imhwan , Ali Asad , Jang Daniel , Lee Sangmin , Lee Changgu , Kim Miyoung , Yi Gyu-Chul 
Published: November 2023

Abstract
We report the growth of single-crystalline GaN microdisk arrays on graphene and their application in flexible light-emitting diodes (LEDs). Graphene layers were directly grown on c-sapphire substrates using chemical vapor deposition and employed as substrates for GaN growth. Position-controlled GaN microdisks were laterally overgrown on the graphene layers with a micro-patterned SiO2 mask using metal–organic vapor-phase epitaxy. The as-grown GaN microdisks exhibited excellent single crystallinity with a uniform in-plane orientation. Furthermore, we fabricated flexible micro-LEDs by achieving heteroepitaxial growth of n-GaN, In
x
Ga1−x
N/GaN multiple quantum wells, and p-GaN layers on graphene-coated sapphire substrates. The GaN micro-LED arrays were successfully transferred onto bendable substrates and displayed strong blue light emission under room illumination, demonstrating their potential for integration into flexible optoelectronic devices.
IPEM topical report: results of a 2022 UK survey on the use of linac manufacturer integrated quality control (MIQC)
Authors: Pearson Michael , Barnes Michael P , Brown Kirstie F , Hawthorn Karen , Stevens Simon W , Kizhakke Veetil Rakesh , Weston Steven , Whitbourn JR 
Published: November 2023

Abstract
In recent years Radiotherapy linear accelerator (linac) vendors have developed their own integrated quality control (QC) systems. Such manufacturer-integrated-quality-control (MIQC) has the potential to improve both the quality and efficiency of linac QC but is currently being developed and utilised in the absence of specific best-practice guidance. An Institute of Physics and Engineering in Medicine working party was commissioned with a view to develop guidance for the commissioning and implementation of MIQC. This study is based upon a survey of United Kingdom (UK) radiotherapy departments performed by the working party. The survey was distributed to all heads of radiotherapy physics in the UK and investigated availability and uptake, community beliefs and opinions, utilisation, user experience and associated procedures. The survey achieved a 95% response rate and demonstrated strong support (>95%) for its use and further development. MIQC systems are available in 79% of respondents’ centres, and are in clinical use in 66%. The most common MIQC system was Varian MPC, in clinical use in 58% of responding centres, with CyberKnife AQA\E2E in 11%, TomoTherapy TQA in 8% and no users of Elekta Machine QA. A majority of users found their MIQC to be easy to use, reliable, and had five or more years of experience. Most users reported occasions of discrepancy in results between MIQC and conventional testing, but the majority considered this acceptable, indicating a false reporting frequency of quarterly or less. MIQC has shown value in preventative maintenance and early detection of machine deviations. There were inconsistent approaches in the utilisation and commissioning tests performed. Fewer than half of users perform QC of MIQC. 45% of responders have modified their QC processes with the introduction of MIQC, via replacement of conventional tests or reduction in their frequency. Future guidance is recommended to assist in the implementation of MIQC.
Inverse radon transform with deep learning: an application in cardiac motion correction
Authors: Chang Haoran , Kobzarenko Valerie , Mitra Debasis 
Published: November 2023

Abstract

Objective. This paper addresses performing inverse radon transform (IRT) with artificial neural network (ANN) or deep learning, simultaneously with cardiac motion correction (MC). The suggested application domain is cardiac image reconstruction in emission or transmission tomography where IRT is relevant. Our main contribution is in proposing an ANN architecture that is particularly suitable for this purpose. Approach. We validate our approach with two types of datasets. First, we use an abstract object that looks like a heart to simulate motion-blurred radon transform. With the known ground truth in hand, we then train our proposed ANN architecture and validate its effectiveness in MC. Second, we used human cardiac gated datasets for training and validation of our approach. The gating mechanism bins data over time using the electro-cardiogram (ECG) signals for cardiac motion correction. Main results. We have shown that trained ANNs can perform motion-corrected image reconstruction directly from a motion-corrupted sinogram. We have compared our model against two other known ANN-based approaches. Significance. Our method paves the way for eliminating any need for hardware gating in medical imaging.