bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intelligent retrieval method for power grid operation data based on improved SimHash and multi-attribute decision making
Authors: Zhao Songyan , Guo Xiaoli , Qu Zhaoyang , Zhang Zhengming , Yu Tong 
Published: December 2022

AbstractIN the trend of energy revolution, power data becomes one of the key elements of the power grid. And an advance power system with "electric power + computing power" as the core has become an inevitable choice. However, the traditional search approach based on directory query is commonly used for power grid operation data in domestic and international. The approach fails to effectively meet the user's need for fast, accurate and personalized retrieval of useful information from the vast amount of power grid data. It seriously affects the real-time availability of data and the efficiency of business-critical analytical decisions. For this reason, an intelligent retrieval approach for power grid operation data based on improved SimHash and multi-attribute decision making is proposed in this paper. This method elaborates the properties of SimHash and multi-attribute decision making algorithms. And an intelligent parallel retrieval algorithm MR-ST based on MapReduce model is designed. Finally, real time grid operation data from multiple sources are analyzed on the cloud platform for example. The experimental results show the effectiveness and precision of the method. Compared with traditional methods, the search accuracy rate, search completion rate and search time are significantly improved. Experiments show that the method can be applied to intelligent retrieval of power grid operation data.
Complete organellar genomes of six Sargassum species and development of species-specific markers
Authors: Lee Yong Jin , Kim Yea Dam , Uh Yo Ram , Kim Yeon Mi , Seo Tae-Ho , Choi Sung-Je , Jang Cheol Seong 
Published: December 2022

AbstractSargassum is one of the most important brown algal genera that can be used as food and raw material for medicinal purpose, and has various beneficial effects. As the classification of Sargassum species is currently based on their morphological characteristics, organellar genome sequences of Sargassum would provide important information for accurate identification of species and developing species-specific markers. We sequenced the complete organellar genomes of six Sargassum species, including the first complete chloroplast genome sequences of S. fulvellum, S. serratifolium, S. macrocarpum, and S. siliquastrum, and the first complete mitochondrial genome sequences of S. fulvellum, S. serratifolium, and S. macrocarpum. The chloroplast genomes of the 6 Sargassum species contained 139 protein-coding genes (PCGs), and the mitochondrial genomes possessed 37 PCGs. A comparative study was performed between the newly sequenced organellar genomes and 44 other species belonging to class Phaeophyceae. Phylogenetic relationships using PCGs shared by Phaeophyceae species were constructed with IQ-TREE 2 using the maximum likelihood method. In addition, we developed real-time PCR markers based on SNPs to distinguish the 6 Sargassum species. Our results provide useful information for establishing phylogenetic relationships between brown algae.
The three-dimensional plasma structures and flows of the Earth’s upper atmosphere due to the Moon’s gravitational force
Authors: Liu Jann-Yenq , Wu Tsung-Yu , Lin Chi‐Yen , Chang Loren C. 
Published: December 2022

AbstractThe semidiurnal (12.42 h) and semimonthly (14.76 days) lunar tides have been well-known by fishermen for several centuries. The gravitational force of the relative positions between the Sun, the Moon, and the Earth results in two symmetrical tidal bulges (double bulges) appearing at equatorial latitudes directly under and opposite the Moon. We utilize ionospheric GNSS (Global Navigation Satellite System) radio occultation soundings to show the global three-dimensional structures and dynamics of the double bulges of ionospheric lunar tides for the first time. The double-bulge amplitude of ionospheric F2-peak height hmF2, lagging the sublunar or antipodal point by about 2–3 h, is about 3–5 km at the equator and 1.5–2.0 km at ± 35° magnetic latitude. The electron density further depicts global three-dimensional plasma flows in the ionosphere.
Echoed induction of nucleotide variants and chromosomal structural variants in cancer cells
Authors: Matsuno Yusuke , Kusumoto-Matsuo Rika , Manaka Yuya , Asai Haruka , Yoshioka Ken-ichi 
Published: December 2022

AbstractGenerally, the number of single-nucleotide variants (SNVs) in somatic cells increases with age, which is expected for replication errors. The number of SNVs in cancer cells, however, is often much higher than that in somatic cells, raising the question of whether cancer cells possess SNV induction pathways. The present study shows that the number of SNVs in cancer cells correlates with the number of chromosomal structural variants (SVs). While Kataegis, localized hypermutations typically arising near SV sites, revealed multiple SNVs within 1 kb, SV-associated SNVs were generally observed within 0.1–1 Mb of SV sites, irrespective of Kataegis status. SNVs enriched within 1 Mb of SV regions were associated with deficiency of DNA damage repair, including HR deficiency-associated single base substitution 3 (SBS3) and exogenous damage-associated SBS7 and SBS36 signatures. We also observed a similar correlation between SVs and SNVs in cells that had undergone clonal evolution in association with genomic instability, implying an association between genomic instability and SV-associated induction of SNVs.
Toxicology assessment of manganese oxide nanomaterials with enhanced electrochemical properties using human in vitro models representing different exposure routes
Authors: Fernández-Pampín Natalia , González Plaza Juan José , García-Gómez Alejandra , Peña Elisa , Rumbo Carlos , Barros Rocío , Martel-Martín Sonia , Aparicio Santiago , Tamayo-Ramos Juan Antonio 
Published: December 2022

AbstractIn the present study, a comparative human toxicity assessment between newly developed Mn3O4 nanoparticles with enhanced electrochemical properties (GNA35) and their precursor material (Mn3O4) was performed, employing different in vitro cellular models representing main exposure routes (inhalation, intestinal and dermal contact), namely the human alveolar carcinoma epithelial cell line (A549), the human colorectal adenocarcinoma cell line (HT29), and the reconstructed 3D human epidermal model EpiDerm. The obtained results showed that Mn3O4 and GNA35 harbour similar morphological characteristics, whereas differences were observed in relation to their surface area and electrochemical properties. In regard to their toxicological properties, both nanomaterials induced ROS in the A549 and HT29 cell lines, while cell viability reduction was only observed in the A549 cells. Concerning their skin irritation potential, the studied nanomaterials did not cause a reduction of the skin tissue viability in the test conditions nor interleukin 1 alpha (IL- 1 α) release. Therefore, they can be considered as not irritant nanomaterials according to EU and Globally Harmonized System of Classification and Labelling Chemicals. Our findings provide new insights about the potential harmful effects of Mn3O4 nanomaterials with different properties, demonstrating that the hazard assessment using different human in vitro models is a critical aspect to increase the knowledge on their potential impact upon different exposure routes.
Image feature extraction and recognition model construction of coal and gangue based on image processing technology
Authors: Zhang Lei , Sui YiPing , Wang HaoSheng , Hao ShangKai , Zhang NingBo 
Published: December 2022

AbstractUsing image recognition technology to realize coal gangue recognition is one of the development directions of intelligent fully mechanized caving mining. Aiming at the problem of low accuracy of coal gangue recognition in fully mechanized caving mining, the extraction method of Coal and gangue images features is proposed, and the corresponding coal gangue recognition model is constructed. The illuminance value is an important factor affecting the imaging quality. Therefore, a multi-light source image acquisition system is designed, and the optimal illuminance value suitable for coal and gangue images acquisition is determined to be 17,130 Lux. There is a large amount of image noise in the gray-sc5ale image, so Gaussian filtering is used to eliminate the noise in the gray-scale image of coal and gangue. Then, six gray-scale features and four texture features are extracted from 900 coal and gangue images respectively. It is concluded that the three kinds of features of gray skewness, gray variance and texture contrast have the highest discrimination on coal and gangue images. Least squares vector machine has a strong ability to classify, so the use of least squares vector machine to achieve coal gangue identification, and build coal gangue identification model. The results show that the recognition accuracy of the model for coal gangue images is 92.2% and 91.5%, respectively, with gray skewness and texture contrast as indicators. This study provides a reliable theoretical support for solving the problem of low recognition rate of coal gangue in fully mechanized caving mining.
Retarding mechanism of Zn2+ species in geopolymer material using Raman spectroscopy and DFT calculations
Authors: Chamssine Fawzi , Gasparotto Luiz H. S. , Souza Miguel Angelo Fonsecade , Khalifeh Mahmoud , de Oliveira Freitas Julio Cezar 
Published: December 2022

AbstractGeopolymers are the most promising alternative to Ordinary Portland Cement for oil-well cementing and well abandonment. To that end, the slurry needs a required pumping time ensured by the addition of retarders. Although zinc has been widely known to prolong the setting time of geopolymers, its mechanism of action has yet to be fully elucidated. It is herein hypothesized that zinc ions impede the first stages of silicate oligomerization (Si–O–Al), culminating in longer setting times. Pumping time measurements showed that Zn(NO3)2 delayed the setting time by 5 h in comparison to the zinc-less sample. DFT calculations revealed Si(OH)4 to react with [Zn(OH)4]2− via a barrierless transition state, evidencing a kinetic ground for the retardation effect. Additionally, Raman spectroscopy corroborated the DFT results by showing that Q3 species in the proposed mechanism are formed more rapidly in the presence of zinc ions than in its absence.
Differential effect of meteorological factors and particulate matter with ≤ 10-µm diameter on epistaxis in younger and older children
Authors: Kwak Il-Youp , Kim Kyung Soo , Min Hyun Jin 
Published: December 2022

AbstractThe differential effect of meteorological factors and air pollutants on pediatric epistaxis in younger and older children has not been evaluated. We evaluated the distribution of pediatric epistaxis cases between younger (0–5 years) and older children (6–18 years). Subsequently, we assessed and compared the effects of meteorological variables and the concentration of particulate matter measuring ≤ 10 μm in diameter (PM10) on hospital epistaxis presentation in younger and older children. This retrospective study included pediatric patients (n = 326) who presented with spontaneous epistaxis between January 2015 and August 2019. Meteorological conditions and PM10 concentration were the exposure variables, and data were obtained from Korea Meteorological Administration 75. The presence and cumulative number of epistaxis presentations per day were considered outcome variables. Air temperature, wind speed, sunshine duration, and PM10 concentration in younger children, and sunshine duration and air pressure in older children, significantly correlated with the presence of and cumulative number of epistaxis presentations per day. The PM10 concentration was not a significant factor in older children. Thus, meteorological factors and PM10 concentration may differentially affect epistaxis in younger (0–5-year-olds) and older (6–18-year-olds) children. Risk factors for pediatric epistaxis should be considered according to age.
Screening the toxicity profile and genotoxicity mechanism of excess manganese confirmed by spectral shift
Authors: Tümer Cihat , Çavuşoğlu Kültiğin , Yalçin Emine 
Published: December 2022

AbstractIn this study, the toxicity induced by excessive doses of manganese (MnCl2), which is one of the essential trace elements for the continuation of the metabolic activities of the organisms, was investigated with the help of the Allium test. Toxicity was investigated by using physiological (percent germination, root length, weight gain), cytogenetic [mitotic index (MI), micronucleus (MN), chromosomal abnormalities (CAs)], biochemical [malondialdehyde (MDA), superoxide dismutase (SOD) catalase (CAT)] and anatomical (root tip meristematic cell damage) parameters. Allium cepa L. bulbs were divided into four groups as one control and three treatments. The control group was germinated with tap water, and the treatment groups were germinated with 250, 500 and 1000 µM doses of MnCl2. The germination process was continued for 72 h without interruption. At the end of the period, the root tips were collected, washed in distilled water and made ready for microscopic and spectrophotometric analyzes with the help of routine preparation techniques. As a result, the highest germination percentage, root length, weight gain and MI, and the lowest MN frequency, CAs numbers, MDA level, SOD and CAT enzyme activities were determined in the control group (group I). MnCl2 exposure caused a decrease in physiological parameter values and an increase in cytogenetic (except MI) and biochemical parameter values, depending on the dose. MnCl2 exposure induced MN and CAs such as fragment, sticky chromosome, vagrant chromosome, unequal distribution of chromatin and bridge. This genotoxic effect of MnCl2 was associated with DNA–MnCl2 interaction, and this interaction was also confirmed by bathochromic and hypochromic shifts in spectral analysis. Anatomical damages such as epidermis cell damage, flattened cell nucleus, cortex cell damage and cortex cell wall thickening were observed after MnCl2 treatment. As a result, it has been determined that excessive doses of the trace element Mn cause physiological, cytogenetic, biochemical and anatomical toxicity and A. cepa test material is a reliable bio-indicator in determining this toxicity.
Compositional and seasonal differences of gas and particle phase polycyclic aromatic hydrocarbons (PAHs) over the southern Baltic Sea coast
Authors: Siudek Patrycja 
Published: December 2022

AbstractIn this study, 16 USEPA-prioritized PAHs in gas- and particle-phase (PAHg+p), associated chemical and meteorological parameters, and backward trajectory simulations were explored in a coastal city in Poland, between April 2019 and May 2020. This study reports several important aspects of PAHg+p, i.e. variation, composition, distribution profiles, impact of weather conditions, and correlation analysis between target PAH compounds and influencing inorganic gaseous pollutants. Specifically, higher and more variable concentrations of total PAHg+p (mean ± SD, ng m−3) were observed during winter (36.38 ± 24.19) compared to autumn (22.3 ± 17.44), summer (21.52 ± 13.30) and spring (19.90 ± 13.13). A distribution profile of parent PAHg+p was as follows: 3-ring > 4-ring > 2-ring > 5-ring > 6-ring, although their relative contribution to the total PAHs showed statistically significant differences between seasons (p < 0.05). Precipitation-driven loss of ΣPAHg+p was lower in the warm period than in the cold one, reflecting higher PAH concentrations in winter. A seasonal model-based analysis of incremental lifetime cancer risk showed a higher potential cancer risk for children than those for adult females and males. The adverse health impacts associated with PAH exposure via inhalation route indicate the need for implementation of pollution-control policies in this region.
Conditional QTL mapping for seed germination and seedling traits under salt stress and candidate gene prediction in wheat
Authors: Guo Xin , Wu Chongning , Wang Dehua , Wang Guanying , Jin Kaituo , Zhao Yingjie , Tian Jichun , Deng Zhiying 
Published: December 2022

AbstractBreeding new wheat varieties with salt resistance is one of the best ways to solve a constraint on the sustainability and expansion of wheat cultivation. Therefore, understanding the molecular components or genes related to salt tolerance must contribute to the cultivation of salt-tolerant varieties. The present study used a recombinant inbred line (RIL) population to genetically dissect the effects of different salt stress concentrations on wheat seed germination and seedling traits using two quantitative trait locus (QTL) mapping methods. A total of 31 unconditional and 11 conditional QTLs for salt tolerance were identified on 11 chromosomes explaining phenotypic variation (PVE) ranging from 2.01 to 65.76%. Of these, 15 major QTLs were found accounting for more than 10% PVE. QTL clusters were detected on chromosomes 2A and 3B in the marker intervals ‘wPt-8328 and wPt-2087’ and ‘wPt-666008 and wPt-3620’, respectively, involving more than one salt tolerance trait. QRdw3B and QSfw3B.2 were most consistent in two or more salt stress treatments. 16 candidate genes associated with salt tolerance were predicted in wheat. These results could be useful to improve salt tolerance by marker-assisted selection (MAS) and shed new light on understanding the genetic basis of salt tolerance in wheat.
Vanadium oxide nanorods as an electrode material for solid state supercapacitor
Authors: Jain Amrita , Manippady Sai Rashmi , Tang Rui , Nishihara Hirotomo , Sobczak Kamil , Matejka Vlastimil , Michalska Monika 
Published: December 2022

AbstractThe electrochemical properties of metal oxides are very attractive and fascinating in general, making them a potential candidate for supercapacitor application. Vanadium oxide is of particular interest because it possesses a variety of valence states and is also cost effective with low toxicity and a wide voltage window. In the present study, vanadium oxide nanorods were synthesized using a modified sol–gel technique at low temperature. Surface morphology and crystallinity studies were carried out by using scanning electron microscopy, transmission electron microscopy, X-ray diffraction and X-ray photoelectron spectroscopy analysis. To the best of our knowledge, the as-prepared nanorods were tested with magnesium ion based polymer gel electrolyte for the first time. The prepared supercapacitor cell exhibits high capacitance values of the order of ~ 141.8 F g−1 with power density of ~ 2.3 kW kg−1 and energy density of ~ 19.1 Wh kg−1. The cells show excellent rate capability and good cycling stability.
Design and fabrication of a multilayer metamaterial antenna with high‐gain and good radiation patterns for WiFi and WiMAX applications
Authors: Fathipour Masood , Asadpor Loghman 
Published: December 2022

AbstractThis paper proposes a metamaterial‐based multilayer antenna for WiFi and WiMAX applications. The multilayer structure is beneficial for achieving a gain of more than 15 dB. The substrate is made of FR‐4, and the superstrate is Rogers RT/duroid 5880 with a dielectric constant of 2.2 and a loss tangent of 0.009. The desired metamaterial structure is realized using metallic square rings printed on the superstrate. The thickness of the substrate is 1.58 mm, and the overall area of the antenna is 105×72.5 mm2. Using an area‐efficient multilayer configuration for this microstrip antenna, its gain is cost‐effectively enhanced to more than 18 dB, and the shape of the radiation patterns is also appropriate. This antenna is fabricated and fully measured; the measurement and simulation results are in excellent agreement.
Joint estimation of imaging plane and three‐dimensional structure based on inverse synthetic aperture radar image sequences
Authors: Liu Afei , Zhang Shuanghui , Zhang Chi , Liu Yongxiang 
Published: December 2022

AbstractIt is difficult to estimate the effective rotation velocity for non‐triaxial stabilized space targets, which leads to deviations in the estimation of imaging plane vectors and azimuth resolution. This makes it hard to reconstruct the three‐dimensional (3D) of space targets based on inverse synthetic aperture radar (ISAR) image sequence. To solve this problem, a joint estimation method of imaging plane vector and 3D structure based on ISAR image sequences is proposed. First, a compact form of imaging plane vector is defined. Then, the 3D structure of a target is characterized by a fully connected deep network. The volume rendering for ISAR images is redesigned with the analysis of projection formula for ISAR imaging. The network is trained using the discrepancy between the modulus of rendered and observed ISAR images in a self‐supervised manner without 3D supervision. And the 3D structure can be obtained by inquiring all points in the 3D space. Therefore, it can optimize imaging planes and produce more complete and accurate results for complex space targets. Adequate simulation experiments verify its superiority.
A two‐stage transformer fault diagnosis method based multi‐filter interactive feature selection integrated adaptive sparrow algorithm optimised support vector machine
Authors: Shi Hanyu , Chen Mingxia 
Published: December 2022

AbstractThe scarcity of samples and disunity of feature inputs hinder the enhancement of transformer fault diagnosis performance, and there are mutual influences between model construction and feature selection, which cannot only consider a single process. Therefore, this study proposes a novel two‐stage transformer fault diagnosis strategy, which includes a multi‐filter interactive feature selection method (MIFS) constructed, and a diagnosis model ASSA‐SVM based on the adaptive sparrow algorithm (ASSA) optimised support vector machine (SVM). Firstly, the proposed MIFS incorporates ReliefF and mRMR to establish a comprehensive criterion ReliefF‐mRMR for feature importance ranking, and then performs dimension‐by‐dimension input classifier interaction selection based on the ranking results to obtain the optimal feature subset. Secondly, ASSA was proposed to optimise the kernel parameters of SVM. A two‐stage integration model MIFS‐ASSA‐SVM was developed. Finally, Experiments were conducted using real fault data, and the diagnostic performance of different feature inputs, optimisation algorithms and classifiers were compared. The results show that the proposed method performs well on parameter optimisation, can dynamically and interactively select feature subsets with few dimensions and good generalisation performance, its overall diagnosis accuracy reached 92.47%, and the diagnosis performance of each fault type has good performance in multiple evaluation metrics.