bluuebunny/crossref_metadata_2025_split huggingface dataset:
Linguistic modality acts in existential semiotics: the epistemological turn from “being-in-the-world” awareness to “lived-through-world” experience
Authors: Wąsik Zdzisław 
Published: November 2023

AbstractAgainst the background of deliberations about the conception of worldhood as developed in existential semiotics on the basis of linguistic modality acts, this paper proposes merging mundane and transcendentalist phenomenology with epistemology as a theory of knowledge, in general, that alludes to pragmatic sources of human knowledge about the world, in particular. From the epistemological perspective, the reality of the human “life-world” is considered not only as a static position of the individual subject’s being-in-the-world, but also as his/her/its experience of living-the-world or things-of-the-world. Against the background of epistemology, defined in terms of ontological and gnoseological assessments pertaining to the knowledge of how things exist and how they are cognitively accessible, and epistemology as an activity of acquiring knowledge about an object of cognition, the author puts forward a hypothetical deductive scaffold of the linguistically and phenomenologically rooted documentary epistemology of practice, which refers to the practicing researchers’ knowledge as a set of texts created for the purposes of communicating in the first person about the awareness of lived word-ness and lived sign-ness of the transmedial and multimodal means and ways of how the world is perceived.
Correlations of confectionary seed traits in different head zones sunflower
Authors: Vedmedeva Katerina , Nosal Olena , Poliakova Iryna , Machova Tatiana 
Published: November 2023

Abstract
It is proposed to study the qualities of sunflower seeds in three zones of location in the head. Moderate negative correlations of the sign of the number of lateral heads (branching) in sunflower lines from the mass of 1000 seeds, the number of rows, seeds in a row, the total number of seeds and the diameter of the head were established (r = −0.5 to −0.53* on the Chedokk scale). The dependence of the number of seeds in the head on its size was confirmed (r = 0.83). In particular, we obtained a high positive correlation between the signs of the number of rows in the head and the number of seeds in the row with the size of the head (0.71 and 0.72). It was established that the mass of 1000 seeds of the first tier has correlations with the number of seeds in a row and the number of rows (r = 0.32 and 0.39), which are attributed only to the group of noticeable ones. This indicates the possibility of combining in one plant a large number and size of seeds in the head. It was found that changes in the size and weight of the seeds in the head by zone occur in hybrids and lines gradually, while the variety shows only a slight decrease in the size and weight of the seeds in the third zone. The largest quantity and the best confectionary quality of seeds was provided by the Zaporizhzhya Confectionery variety. In hybrids, the output of seeds weighing 90–80 g from one head reached only 1000 pieces. The potential to increase the number of seeds in heads in hybrids is present, but the size of the seeds is critical. With the available average weight of 1000 seeds: 90 g in the best maternal line and 70 in the best paternal line, the hybrids only approached the 100 g mark.
Model-order reduction for hyperbolic relaxation systems
Authors: Grundel Sara , Herty Michael 
Published: November 2023

Abstract
We propose a novel framework for model-order reduction of hyperbolic differential equations. The approach combines a relaxation formulation of the hyperbolic equations with a discretization using shifted base functions. Model-order reduction techniques are then applied to the resulting system of coupled ordinary differential equations. On computational examples including in particular the case of shock waves we show the validity of the approach and the performance of the reduced system.
From synthesis to biological impact of palladium bis(benzimidazol-2-ylidene) complexes: Preparation, characterization, and antimicrobial and scavenging activity
Authors: Amri Nasser , Mukhrish Yousef E. , Özdemir Ismail , Gürbüz Nevin , Arfaoui Youssef , Mansour Lamjed , Gatri Rafik , Beji Lotfi , Hamdi Naceur 
Published: November 2023

Abstract
Palladium-based complexes with the ligand N-heterocyclic carbene have long received attention as active catalysts for many catalytic reactions. Recently, the biological activities of these air- and moisture-stable complexes have also been investigated. In our work, bis(benzimidazol-2-ylidene)palladium complexes 3a–d were synthesized by reacting benzimidazolium salts 2a–d with PdCl2 under reflux in tetrahydrofuran for 24 h and analyzed by spectroscopy (FT-IR [Fourier transform infrared], 1H NMR [proton nuclear magnetic resonance]) characterization, 13C NMR [carbon-13 (C13) nuclear magnetic resonance]), and elemental analysis. The in vitro antibacterial and antifungal activities of these complexes were studied against Gram-positive and Gram-negative microorganisms, and two different fungi showed their remarkable biological potential. In addition, the analysis of the 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radicals using spectrophotometry showed that they are an antioxidant. The potent antibacterial and antioxidant activities of the synthetic complexes suggest that they are more effective antibacterial agents. Our study extends the biological relevance of palladium bis(benzimidazol-2-ylidene) complexes with antibacterial and antioxidant activities. Furthermore, the main goal of the docking simulation is to provide a detailed analysis of the interaction between the complex and the protein of interest.
Prediction of lap shear strength of GNP and TiO2/epoxy nanocomposite adhesives
Authors: Ozankaya Görkem , Asmael Mohammed , Alhijazi Mohamad , Safaei Babak , Alibar Mohamed Yasin , Arman Samaneh , Kotrasova Kamila , Kvocak Vincent , Weissova Michala , Zeeshan Qasim , Hui David 
Published: November 2023

Abstract
In this study, graphene nanoplatelets (GNPs) and titanium dioxide nanofillers were added to epoxy resin P-5005 at five different weight percentages (wt%), viz., 1, 5, 10, 15, and 20 wt%. The tensile properties of the nanocomposites were experimentally tested following ASTM D638-14. Then, the above-mentioned nanocomposites were applied as adhesives for an overlap joint of two A5055 aluminum sheets. The apparent shear strength behavior of joints was tested following ASTM D1002-01. Moreover, experimentally obtained results were applied to train and test machine learning and deep learning models, i.e., adaptive neuro-fuzzy inference system, support vector machine, multiple linear regression, and artificial neural network (ANN). The peak tensile strength (TS) and joint failure load (FL) values were observed in epoxy/GNP samples. The ANN model exhibited the least error in predicting the TS and FL of the considered nanocomposites. The epoxy/GNP nanocomposites exhibited the highest TS of 28.49 MPa at 1 wt%, and the peak overlap joints exhibited an FL of 3.69 kN at 15 wt%.
Tailoring of optical band gap in carbon-doped TiO2 nanofibers
Authors: Arshad Javeria , Ahmed Muqarrab , Anwar Nadia , Irfan Shaheen , Iram Nazia , Nowsherwan Ghazi Aman , Khalid Rabia , Anwar Bushra , Anwar Fouzia 
Published: November 2023

Abstract
The study intended to enhance the visible light activity of titanium dioxide (TiO2) by doping it with carbon, thereby reducing its effective band gap. Carbon-doped TiO2 nanofibers were synthesized using a simple electrospinning process. The prepared samples were then characterized to investigate their properties. X-ray diffraction (XRD) analysis confirmed the presence of the rutile phase of TiO2 in the nanofibers. The XRD pattern exhibited maximum peak intensity at the highest temperature used during synthesis, indicating that the temperature influenced the crystalline structure of the nanofibers. Scanning electron microscopy (SEM) was conducted to examine the morphology of the nanofibers. The results revealed that as temperature increased, the diameter of the nanofibers decreased. The XRF (X-ray Fluorescence) results indicate the atomic composition of carbon-doped TiO2 nanofibers. UV–vis spectroscopy was performed to evaluate the optical properties of the carbon-doped TiO2 nanofibers. The results demonstrated a shift of the optical band towards the visible region. Moreover, the carbon doping reduced the effective band gap, resulting in improved visible light activity of the TiO2 material. These results have significant implications for potential applications of carbon-doped TiO2 nanofibers in various fields, such as photocatalysis and solar energy conversion.
The Effects and Reproducibility of 10, 20, and 30% Velocity Loss Thresholds on Acute and Short-Term Fatigue and Recovery Responses
Authors: Weakley Jonathon , Johnston Rich D. , Cowley Nicholas , Wood Tandia , Ramirez-Lopez Carlos , McMahon Eric , García-Ramos Amador 
Published: November 2023

AbstractWeakley, J, Johnston, RD, Cowley, N, Wood, T, Ramirez-Lopez, C, McMahon, E, and García-Ramos, A. The effects and reproducibility of 10, 20, and 30% velocity loss thresholds on acute and short-term fatigue and recovery responses.J Strength Cond ResXX(X): 000–000, 2023—This study aimed to establish the effects and reproducibility of implementing 10, 20, and 30% velocity loss thresholds (VLTs) during the free-weight barbell back squat on acute and short-term perceived soreness, neuromuscular fatigue, and physical performance. Using a repeated, counterbalanced, crossover design, 12 team-sport athletes completed on separate sessions 5 sets of the free-weight barbell back-squat until reaching VLTs of either 10, 20, or 30%. Outcomes were measured immediately postexercise and 24 hourS after each session. To assess reproducibility, the same sessions were repeated after 4 weeks. Immediately postexercise,smalldifferences in countermovement jump (CMJ) and 10-m sprint performance were observed between VLT conditions, whereassmalltomoderatedifferences in differential ratings of perceived exertion were reported (10% < 20% < 30%). At 24 hours,trivialdifferences in CMJ outcomes were found butsmalldifferences in 10-m sprint performance were detected between conditions (10% < 20% < 30%). In addition, at 24 hours, a singlesmalldifference in radial deformation using tensiomyography was found between 10 and 30% conditions, whereaslargetovery largedifferences in perceived soreness were reported between conditions (10% < 20% < 30%). Finally, the standard error of measurement of all outcome measures at 24 hours were of a similar magnitude to those reported in tightly controlled, short-term studies. Collectively, these findings demonstrate that VLTs help control the fatigue outcomes that occur as a response to resistance training and that they are reproducible. Therefore, for practitioners who wish to prescribe resistance training and be confident in the subsequent fatigue response, it is strongly advised that VLTs are implemented.
OBTAINING AN EFFECTIVE BUTADIENE-SYNTHESIS CATALYST FROM ETHANOL
Authors: Kashaev Bulat V. , Raimanov Ruslan I. , Yausheva Ilyuza R. , Mulyukova Rufina F. , Kasyanova Liliya Z. , Islamutdinova Aigul A. , Aminova Elmira K. 
Published: November 2023

Butadiene is the main monomer used in modern industrial production of general purpose synthetic rubber. Currently, up to 99 % of butadiene-1,3 is obtained during oil refining, however, due to hydrocarbon reserve depletion, the search for alternative methods for butadiene-1,3 obtaining from renewable resources is an urgent task. One of the most promising renewable sources of raw materials is ethanol. Currently, this process is unprofitable due to low selectivity for the target butadiene. Therefore, in this work, an attempt was made to create a new heterogeneous catalyst that allows increasing the selectivity of the process of obtaining butadiene-1,3 from ethanol. In general, in the promising and demanded products production based on butadiene on the global market, the consumption of monomer from 2010 to 2030 should increase by 2 times from 526 to 1235 thousand tons per year. With a projected butadiene productivity of 1038 thousand tons per year, the deficit by 2030 will remain at the level of 200 thousand tons per year, which can be eliminated in two ways: by successful implementation of the Russian Gas and Petrochemical Development Plan for the period up to 2030, taking into account the weighting of pyrolysis raw materials with priority on naphtha; thanks to the development and introduction of new butadiene production methods as the target product. Therefore, this work is devoted to butadiene production from alternative raw materials on effective heterogeneous catalysts.
Seasonality of California Central Coast Microseisms
Authors: Shabtian Hannah S. , Eilon Zachary C. , Tanimoto Toshiro 
Published: November 2023

ABSTRACT
Linear scattering of ocean wave energy at the ocean–continent transition structure causes the primary microseism at a period of 14 s. Subsequent nonlinear wave–wave interactions produce the secondary microseism signal at half the primary microseism period (Longuet-Higgins, 1950; Haubrich et al., 1963). We use three years (2018–2022) of seismic data from an ongoing microarray deployment in the UC Santa Barbara Sedgwick Reserve, situated in the Santa Ynez Valley, to constrain seasonal and long-term microseismic noise characteristics for this portion of California’s central coast. Ancillary buoy data (spectral data, wave height, wind speed and direction) from the National Oceanic and Atmospheric Administration are used to explore the causal relationship between ocean swell and the generation of microseisms. This region is found to exhibit strong seasonality in the primary and secondary microseism bands (0.05–0.1 and 0.1–0.3 Hz, respectively), with much higher noise levels in the winter compared with the summer, especially for the secondary microseism (15.4 dB). We also observe a systematic shift in the peak frequency of the secondary microseism between the winter (∼0.14 Hz) and summer (∼0.20 Hz) months, which may reflect a difference in sources of secondary microseisms between the two seasons. Local buoy wave height and spectral data are well correlated with seismic power spectra during times of incoming storm swell in winter, indicating locally generated microseisms along the central coast during this season.
ShakeMap Atlas 4.0 and AtlasCat: An Archive of the Recent and the Historical Earthquake ShakeMaps, and Impacts for Global Hazard Analyses and Loss Model Calibration
Authors: Marano Kristin D. , Hearne Michael , Jaiswal Kishor S. , Thompson Eric M. , Bruce Worden C. , Wald David J. 
Published: November 2023

Abstract
Archival earthquake studies often focus on event and source characteristics for use in earthquake catalogs, seismotectonic understanding, and ground-motion studies—many of these targeting better constraints for probabilistic seismic-hazard analyses. The ShakeMap Atlas, in contrast, focuses on spatial distribution of shaking for the historical events, providing the best constraints at all locations that experienced significant shaking for each event, facilitating analyses of human experience, damage, and induced hazards (ground failure). The aim of the Atlas is to gain a general understanding and depiction of the shaking distribution for a suite of canonical earthquakes, and, coupled with loss data for each event, to provide a basis for earthquake loss model calibration, among other uses. Although the initial motivation for developing the ShakeMap Atlas was calibrating the U.S. Geological Survey (USGS) Prompt Assessment of Global Earthquakes for Response system, over time, the Atlas has proved to be a useful tool for its users, and, as such, its scope has been vastly expanded in this newest version. The fourth version of the USGS ShakeMap Atlas is an openly available compilation of over 14,000 ShakeMaps of significant global earthquakes between 1900 and 2020. This revision includes: (1) the latest version of the ShakeMap software that provides refined uncertainty estimations and improved methods to combine macroseismic observations with updated ground-motion models; (2) an updated earthquake source catalog; (3) a refined strategy to select suites of prediction and conversion equations based on a new seismotectonic regionalization scheme; and (4) expanded macroseismic intensity and ground-motion datasets. We also tabulate reported economic losses and fatalities for Atlas events where such data are openly available. These changes make the new ShakeMap Atlas a self-consistent, calibrated catalog invaluable for investigating near-source ground motions, as well as seismic hazard, scenario, risk, and loss-model development and testing.
AN INTELLIGENT MULTI-SENSOR SYSTEM FOR IDENTIFICATION AND ASSESSMENT OF THE TECHNICAL CONDITION OF ELECTRICAL EQUIPMENT USING WI-FI
Authors: Yakovlev Dmytro 
Published: November 2023

The modern stage of industrial development is characterized by an increasing need for systems to monitor the condition and efficient functioning of electrical equipment. Breakdown or unplanned stoppage of an electromechanical system engine is accompanied by significant economic losses for enterprises. Therefore, the current stage of industrial development is characterized by an increasing need for systems for monitoring the condition and efficient functioning of electrical equipment.
As a result, due to the rapid development of precision manufacturing technologies, many studies have been conducted in the field of multi-sensor measurement and data fusion technologies to improve monitoring capabilities in terms of measurement accuracy and information richness, thereby increasing production efficiency and accuracy. In a multi-sensor system, each sensor independently measures certain parameters. The system then uses an appropriate signal processing algorithm to combine all the independent measurements into a complete set of measurement results.
An accurate assessment of the technical condition makes it possible to predict the term of the next repair of the equipment, increases the reliability and efficiency of its operation, reduces the damage from downtime of the equipment due to accidents, the costs of repair and restoration of operability, reduces the costs of maintenance and operation of the equipment.
This article presents an overview of an intelligent multi-sensor system for monitoring the process and technological state of electrical equipment. Which in real time with the help of sensors makes it possible to obtain information from the environment and draw conclusions about the condition of the diagnosed equipment. The technology of an intelligent multi-sensor system for identification and assessment of the technical condition of electrical equipment has prospects for wide application in industries. Thanks to the most compact dimensions of the installation, we have the opportunity to take measurements in hard-to-reach places, without removing the equipment from work, which minimizes losses from downtime. Also, the use of this system allows detecting the development of a defect in the early stages of development, which prevents and significantly reduces the cost of repairing power equipment when it is out of service.
IDENTIFICATION AND CLASSIFICATION OF SINGLE-PHASE VOLTAGE DIPS USING THE METHODOLOGY OF THE SPATIAL VECTOR OF ANGULAR FREQUENCY
Authors: Voloshko Anatolii , Shevchuk Vitalii 
Published: November 2023

A new method of identification and classification of voltage dips in a three-phase electric network is presented. The method is based on the representation of voltages of the electrical network by one complex variable - a spatial vector of the angular frequency. The main characteristics of the spatial vector, which are used to identify and classify dips, are the major and minor semi-axes, the angle of rotation of the formed ellipse. For balanced dips, the space vector goes in a circle in the complex plane with a radius equal to the voltage. For unbalanced dips, the spatial vector is an ellipse with parameters that depend on the phase of the voltage drop, the magnitude of the dip, and the phase angle shift.
This method introduces a new level of accuracy and reliability in the analysis and classification of voltage dips, making it a tool for improving the quality of power supply and increasing the stability of electrical systems. The use of this method can help reduce the impact of unplanned interruptions in the supply of electricity to the enterprise and home, which is becoming a key task in the modern electricity sector.
ParaPET: non-invasive deep learning method for direct parametric PET reconstruction using histoimages
Authors: Vashistha Rajat , Moradi Hamed , Hammond Amanda , O’Brien Kieran , Rominger Axel , Sari Hasan , Shi Kuangyu , Vegh Viktor , Reutens David 
Published: November 2023

Abstract
Background
The indirect method for generating parametric images in Positron Emission Tomography (PET) involves the acquisition and reconstruction of dynamic images and temporal modelling of tissue activity given a measured arterial input function. This approach is not robust, as noise in each dynamic image leads to a degradation in parameter estimation. Direct methods incorporate into the image reconstruction step both the kinetic and noise models, leading to improved parametric images. These methods require extensive computational time and large computing resources. Machine learning methods have demonstrated significant potential in overcoming these challenges. but they are limited by the requirement of a paired training dataset. A further challenge within the existing framework is the use of state-of-the-art arterial input function estimation via temporal arterial blood sampling, which is an invasive procedure, or an additional Magnetic Resonance Imaging (MRI) scan for selecting a region where arterial blood signal can be measured from the PET image. We propose a novel machine learning approach for reconstructing high-quality parametric images from histoimages produced from time-of-flight PET data without requiring invasive arterial sampling, MRI scan or paired training data.
Result
The proposed is tested on a simulated phantom and five oncological subjects undergoing an 18F-FDG-PET scan of the brain using Siemens Biograph Vision Quadra. Kinetic parameters set in the brain phantom correlated strongly with the estimated parameters (K1, k2 and k3, Pearson correlation coefficient of 0.91, 0.92 and 0.93) and a mean squared error of less than 0.0004. In addition, our method significantly outperforms (p < 0.05, paired t-test) the conventional non-linear least squares method in terms of contrast-to-noise ratio. At last, the proposed method was found to be 37% faster than the conventional method.
Conclusion
We proposed a direct non-invasive DL-based reconstruction method producing parametric images of higher quality. The use of histoimages holds promising potential for enhancing the estimation of parametric images, an area that has not been extensively explored thus far. The proposed method can be applied to subject-specific dynamic PET data alone.