bluuebunny/crossref_metadata_2025_split huggingface dataset:
How well can Damped Shifted Force Monte Carlo predict vapor-liquid equilibria for natural gas systems?
Authors: Zimmermann Alexandre , Lírio Raphael , Castro Beatriz Montes , Romanielo Lucienne , Mattedi Silvana 
Published: January 2024

Abstract

The oil and gas industry has faced new challenges, especially since discovering and exploring Brazilian pre-salt reserves. The current dehydration processes, imperative for gas processing and distribution, result in relevant solvent losses or are too expensive, space-demanding, or both. Molecular simulations have been among the preferred approaches in the last few years. Although computationally demanding, their versatility, predictive character, and accuracy make them an asset for many tasks. As the required time can yet be a hindrance when working with molecular simulations, the Damped Shifted Force (DSF) method can be an exciting option for a faster calculation of the electrostatic interactions, in contrast with the more popular Ewald methods, more rigorous and time-consuming. The present work presents Monte Carlo simulations using the DSF method to predict the vapor-liquid equilibria of binary mixtures containing some of the natural gas main components: CH4, CO2, and H2O. The results were compared to experimental data and other Monte Carlo simulations found in the literature to check whether the DSF method is a reliable alternative for natural gas systems. The comparison showed that DSF simulations had comparable accuracy to other Monte Carlo simulations (including Ewald ones) and provided predictions close to experimental data.
Evidence of competitive displacement of Bactrocera dorsalis (Hendel) by Bactrocera zonata (Saunders) (Tephritidae: Diptera) in guava Psidium guajava ecosystem in Sudan.
Authors: Mahmoud Mohammed Elfadil , Mohamed Samira Abuelgasim , Abuagla Mohammedazim Izzeddin Bashir ,   Abdel Gadir Mohamed Abdellah1, Hamad Rehab Haj , Khamis Fathyia , Ekesi Sunday 
Published: January 2024

Abstract

Oriental fruit fly (OFF) Bactrocera dorsalis and (Peach fruit fly) (PFF) B. zonata are the most notorious pests that invaded Sudan in 2005 and 2012 respectively, causing severe losses and hindered horticultural production and exportation. Monitoring fruit flies to determine species composition, seasonality and occurrence of competitive displacement was conducted in two guava orchards in Gezira State; Fadasi and Gezirat Elfil, using food bait attractant and rearing flies from infested fruits procedure (Infestation level). The role of longevity and survival percentages of developmental stages in displacement of species was determined. Monitoring population of fruit flies using Torula yeast and rearing of fruit flies form guava Psidium guajava fruits revealed that OFF and PFF were the most prevalent species in guava ecosystem at both sites. At Fadasi site PFF was the dominant species representing (99.3%) of the guild of the trapped flies with (99.6%) (Flies/Kg of guava fruits) as infestation level. At G. Elfil, (OFF) represented (80.8%) of the trapped flies with infestation level ca 53.6% (Flies/Kg of guava fruits). Longevity of developmental stages of (PFF) was shorter than that of (OFF) by 9.2 days, while its survival percentage was higher than that of OFF for all developmental stages. Competitive displacement of OFF by PFF in guava orchards at Fadasi site has already occurred and could be attributed to the mono cropping system, short period and high survival percentage of developmental stages of PFF compared to that of OFF.
Improved Feature Space for EEG-based Epileptic Seizure Detection Using Signal Processing Techniques
Authors: Kiran M , Naik Mahendra Shridhar , Yashwanth J , humse Kiran kumar , Chaitra S N , Deepa T , Sunilkumar D S 
Published: January 2024

Abstract
The non-stationary nature of the electroencephalogram (EEG) signal makes its analysis essential as it may point the way toward an appropriate detection technique for patients with neurological disorders, particularly epilepsy. The quality of certain variables extracted from an EEG data set that describe seizure activity is a major determinant of the effectiveness of EEG-based epileptic seizure detection. The Improved Feature Space Method (ICFS) with Discrete Wavelet Transforms (DWT) is a unique analysis technique presented in this paper for identifying epileptic seizures from EEG signals. The proposed study includes using DWT to identify the most salient characteristics from the time domain, frequency domain, and entropy-based features after first using FIR for the filtering process. After that, an ensemble of Support Vector Machine (SVM) classifiers is trained using the chosen feature set. Based on the same benchmark EEG dataset, the experimental results reveal that the suggested method performs better than the traditional correlation-based method and also surpasses several other state-of-the-art methods of epileptic seizure detection.
Roadway stability evaluation method based on FAHP-GRA fusion
Authors: Yan Huangbao , Li Xiong , Zhang Feifei , Luo Yifan , Wang Jintong , Ping Lifen , Zhao Xiangzheng 
Published: January 2024

Abstract

The risk of mining roadway caused by the coupling of various disaster-causing factors cannot be ignored. Based on the engineering geological conditions of mining roadway in a coal mine in Jining City, Shandong Province, this study screened and extracted the risk factors affecting the stability of mining roadway and established the evaluation model of roadway stability in view of the difficulty in quantifying and predicting the potential and fuzzy risks of mining roadway. Aiming at the shortcomings of traditional hierarchical method, such as large amount of calculation and large test error, the fuzzy analytic hierarchy process (FAHP) method is optimized, and the grey relational analysis (GRA) method is used to solve the problem of small sample and poor information. The fusion operator is used to realize the fusion of FAHP and GRA methods for the stability evaluation of mining roadway. The new evaluation method combines the advantages of the two methods. The test results show that the evaluation results of the fusion method are in good agreement with the actual situation.
Local factors mediate climate and land use effects on global fire regimes (2003-2020)
Authors: Mahood Adam , Tuff Ty , Cattau Megan , Iglesias Virginia , Hanson Thomas , Stephens Jilmarie , Ilangakoon Nayani , Cook Maxwell , nagy Chelsea , Barnard David , Stavros Natasha , DeCastro Amy , Balch Jennifer 
Published: January 2024

Abstract
Changes in fire activity challenge policymakers, land managers and the general public. Burned area (BA) is declining globally, but 81% of BA occurs in just 22 countries, and growth rate may be more important for public safety. We used eight fire regime components from country-level datasets to characterize fire regimes for 241 countries from 2003-2020. Fire regimes followed two axes of variation, with BA versus event duration on one axis, and season length versus event size and spread rate on the other. Annual trends in fire regime components were mixed, with no trend being most common, as expected given the short time series. Increases in fire activity were associated with increases in aridity in boreal, temperate and equatorial countries, and with land cover changes in arid countries. But these associations explained <40% of model variation, indicating that local and regional circumstances are more important than broad generalizations from global models.
The genotypes of the two components of grafted grapevines influence the rhizosphere and root endophyte microbiomes, with rootstocks having a greater impact
Authors: Lailheugue Vincent , Darriaut Romain , Tran Joseph , Morel Marine , Marguerit Elisa , Lauvergeat Virginie 
Published: January 2024

Abstract
Background
Soil microorganisms play an extensive role in the biogeochemical cycles providing the nutrients necessary for plant growth. Root-associated bacteria and fungi, originated from soil, are also known to influence host health. In response to environmental stresses, the plant roots exude specific molecules influencing the composition and functioning of the rhizospheric and root microbiomes. This response is host genotype-dependent and is affected by the soil microbiological and chemical properties. It is essential to unravel the influence of grapevine rootstock and scion genotypes on the composition of this microbiome, and to investigate this relationship with plant growth and adaptation to its environment. Here, the composition and the predicted functions of the microbiome of the root system were studied using metabarcoding on ten grapevine scion-rootstock combinations, in addition to plant growth and nutrition measurements.
Results
The rootstock genotype significantly influenced the diversity and the structure of the bacterial and fungal microbiome, as well as its predicted functioning in rhizosphere and root compartments when grafted with the same scion cultivar. Based on β-diversity analyses, 1103P rootstock showed distinct bacterial and fungal communities compared to the five others (RGM, SO4, 41B, 3309C and Nemadex). The influence of the scion genotype was more variable depending on the community and the investigated compartment. Its contribution was primarily observed on the β-diversity measured for bacteria and fungi in both root system compartments, as well as for the arbuscular mycorrhizal fungi (AMF) in the rhizosphere. Significant correlations were established between microbial variables and the plant phenotype, as well as with the plant mineral status measured in the petioles and the roots.
Conclusion
These results shed light on the capacity of grapevine rootstock and scion genotypes to recruit different functional communities of microorganisms, which affect host growth and adaptation to the environment. Selecting rootstocks capable of associating with positive symbiotic microorganisms is an adaptation tool that can facilitate the move towards sustainable viticulture and help cope with environmental constraints.
Estimating a prediction model and studying the causes of the rise in divorce rates in the Ha'il region using time series and saturated design
Authors: Abdulrahman Alanazi Talal , Alnagar Dalia Kamal 
Published: January 2024

Abstract
Introduction. The phenomenon of divorce is a social phenomenon because it is related to the most important social institution in society, has a profound impact on the life of the family and children, and the processes of upbringing, education, and social education.
Objective.The goals of this study are to determine the actual causes of the divorce crisis using a saturated design and to predict the number of divorces in Saudi Arabia using the ARIMA model.
Methods and Materials. The method is done by building several models by creating questionnaires and then analyzing them statistically based on saturated design. Also, the data were obtained from statistics record, time-series analysis was performed.
Results. We discover that the following factors contributed to the divorce crisis in the Ha'il region: E11 (Cultural openness), E4 (Poor parental choice, far from taking the young man or girl's opinion), E14 (Comparing married life with the life of others), E1 (The lack of religious scruples in the husband or wife), E6 (Addiction), E3 (Excessive jealousy, reaching the stage of doubt and arbitrary interpretations), and E2 (Violence and spousal control). Furthermore, the model's prediction performance is deemed reasonable, and the prediction results are deemed reliable.
Conclusion. Divorce in Saudi Arabia is expected to rise from 2020 to 2030, implying an increase over time. According to the study, the ARIMA model predicts that the year 2030 will be 67808.61.
Wave Propagation in One-Dimensional Quasicrystal Multilayered Nanoplates based on Nonlocal Strain Gradient Theory
Authors: Zhang miao , Guo junhong , Sun tuoya 
Published: January 2024

Abstract
The time-harmonic wave propagation in three-dimensional and multilayered transversely isotropic one-dimensional quasicrystal nanoplates is investigated based on the nonlocal strain gradient theory. According to the time-harmonic solutions of the extended displacement (i.e., phonon and phason displacements), the elastic wave problem is converted into a linear eigenvalue system from which the extended displacement and stress are expressed in terms of the eigenvalues and eigenvectors. The dispersion curve is obtained by the propagator matrix method. Numerical examples are provided to show the influence of the nonlocal parameter, strain gradient parameter, stacking sequence and wavenumber on the dispersion curves and mode shapes in layered quasicrystal nanoplates.
Mathematics Subject Classification 52C23, 74J05, 74H45
Seasonal Diversity of Indo-Pacific Warm Pool Volume Expansion: The Role of Climatological Subsurface Temperature Patterns
Authors: Leung Jeremy , Gan Qiuying , Dong Wenjie , Wang Lei , Li Weijing , Qian Weihong , Zhang Banglin 
Published: January 2024

Abstract
The Indo-Pacific warm pool (IPWP) expansion under global warming has huge impacts on global climate. While recent studies have revealed the seasonal diversity of IPWP surface expansion and its climate impacts, understanding the changes in seasonality of the IPWP volume is of greater importance, especially given the crucial role of subsurface ocean in climate systems. Here, we find a significant difference in IPWP volume expansion rates across seasons from 1950–2020. The expansions of IPWP volume during boreal autumn and winter are faster compared to boreal spring and summer. This consequently weakens the seasonality of IPWP volume, particularly in the upper-layer, with a significant decreasing trend of -0.54×107 km3/decade. Further analyses suggest that this seasonal diversity in IPWP volume expansion is primarily caused by the seasonality of capacity for IPWP volume change, which is determined by the seasonal climatological Indo-Pacific subsurface temperature pattern. Furthermore, these variations may exert diverse impacts on atmospheric circulation and East Africa precipitation in rainy seasons. Specifically, the larger autumn IPWP expansion trend enhances ascending motion and precipitation over East Africa during short rains (October-November-December), while the relatively slower spring IPWP expansion leads to a decrease in rainfall during long rains (March-April-May). This study highlights the primary role of climatic subsurface Indo-Pacific Ocean temperature properties on the change of IPWP volume seasonality, which may have crucial effects on the precipitation in East Africa rainy seasons, and may hold important clues about how greenhouse warming affect oceanic seasonal cycle.
RNA triphosphatase-mediated mRNA capping is essential for maintaining transcript homeostasis and the survival of Toxoplasma gondii
Authors: Deshmukh Abhijit , Aswale Kalyani 
Published: January 2024

Abstract
The protozoan parasite Toxoplasma gondii is thought to rely on RNA processing to accomplish the differential gene expression needed during life cycle stage transitions. Here, we show how RNA capping, the first major pre-mRNA processing event, safeguards transcript homeostasis in Toxoplasma. A functional RNA capping system of Toxoplasma consists of separate RNA triphosphatase, guanylyltransferase, and guanine-N7-methyltransferase enzymes, which together add 5’ 7-methylguanosine (m7G) cap to RNA. The in vitro generated capped RNAs bind to the Toxoplasma translation initiator factor, eIF4E, and are translated to protein in the transfected parasites. Biochemical and genetic characterization demonstrates that among three capping enzymes, triphosphatase (TgRT) is unique and a member of the tunnel family of metal-dependent phosphohydrolases, structurally and mechanistically unrelated to the human cysteine-phosphatase-type RNA triphosphatase. We show that TgRT is essential for pre-mRNA capping and parasite growth through inducible conditional knockdown. TgRT perturbation leads to global diminished m7G-capped transcripts, as demonstrated by cap-seq, which resulted in the complete arrest of parasite replication in the culture and the mouse host, protecting them from lethal infection. Overall, this study shows the essential role of TgRT-mediated mRNA capping for parasite survival, thereby presenting RNA triphosphatase as an attractive target for Toxoplasma infection.
Quad-band polarization-independent flexible ultra-thin coding defect support absorber for frequency ranges from C to Ku band
Authors: Van Dien Pham , Van Hai Pham , Phuong An Pham , Thi Thuy Nguyen , Xuan Khuyen Bui , Dinh Lam Vu , Tran Manh Cuong 
Published: January 2024

Abstract

Simple and ultra-thin structure with high efficiency in absorbing electromagnetic waves in adjacent frequency bands are of great interest nowadays. Metamaterial or metasurface is one of the leading candidates for such studies. In this paper, by employ the open square frame structure combined with the central polygonal disk of the base cell, we built an absorber material with high symmetry and possessing four separate absorption peaks at adjacent frequencies in the C, X, Ku-band (4 GHz to 16 GHz). Notably, the four peaks have high absorption and are quite equally distant. The polarization-dependent analysis also shows that the structure possesses wave polarization independence and still ensures high absorption at incident angles as wide as 60 degrees. In addition, due to the ultra-thin nature of the structure, it also shows a flexible wave absorption response at different bending angles with special requirements. Moreover, a coding defect surface is applied to study the real-life application possibility of the full-size structures and shows that the absorption is stable with a concrete number of defects. This structure has high applicability in electromagnetic stealth technology, communication technology as well as related directional electromagnetic wave control requirements.
Analysis of Prognostic Factors on the Regular Glucocorticoid Combined with Cyclophosphamide Pulse in Children Suffered from Henoch-Schönlein Purpura Nephritis with Nephrotic Proteinuria
Authors: Liu Chang , Yan Hu , Kai Feng 
Published: January 2024

Abstract

Background:Henoch Schönlein purpura nephritis (HSPN) with a large amount of proteinuria is a risk factor for poor long-term prognosis. Patients with proteinuria at nephrotic level should be actively treated with glucocorticoids combined with cyclophosphamide. However, there was a lack of research on the influence factors of curative effect. The objective of this study was to evaluate factors affecting curative effect in children with HSPN in proteinuria at nephrotic level treated with glucocorticoids combined with cyclophosphamide.Methods:Demographic factors, clinical characteristics, and laboratory data of children with HSPN with or without proteinuria after glucocorticoid combined with cyclophosphamide pulse were retrospectively analyzed. Univariate and multivariate logistic regression analyses were used to determine the risk factors of curative effect in HSPN with nephrotic proteinuria.Results:A total of 107 children with HSPN in nephrotic proteinuria received their first Cyclophosphamide Pulse as part of this study, which included 63 (58.9%) males and 44 females (41.1%), with a median age of 8 years (range: 3-16 years). According to 24 hours proteinuria after 6th cyclophosphamide pulse, subjects were divided into two groups: those with negative of 24-h urine protein quantification (n=72 cases) and those with positive of 24-h urine protein quantification (n=35 cases). After multivariate logistic regression analysis, 24-h urinary protein exceeded normal level during therapy (OR=8.766; 95% CI; 2.521–30.484;P=0.001), repeated skin purpura during therapy (OR=10.821; 95% CI; 1.678–69.780;P=0.012), macroscopic hematuria during therapy (OR=33.900; 95% CI; 2.201–522.131;P=0.012), history of upper respiratory tract infection during therapy (OR=2.122; 95% CI; 1.152–3.908;P=0.013) and fibrinogen (OR=25.053; 95% CI, 1.354–463.708;P=0.016) were found to be independent risk factors for clinical efficacy of glucocorticoid combined with cyclophosphamide. The area under the ROC (AUC) of the model prediction probability was 0.892, with the Hosmer and Lemeshow goodness-of-fit test (P= 0.433,P> 0.05).Conclusion:These results suggest that during the therapy, 24-h urinary protein exceeded normal level, repeated skin purpura, macroscopic hematuria, history of upper respiratory tract infection and higher fibrinogen should be strictly monitored for children with HSPN. Adequate clinical intervention for these risk factors may improve prognosis.
Identification of key biomarkers in Diabetic retinopathy and age-related macular degeneration by integrated bioinformatics analysis
Authors: Feng Wen , Gao Xinxiao 
Published: January 2024

Abstract

Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are the main causes of visual impairment in individuals aged 50 and above globally. Interestingly, there is a complex relationship between DR and AMD, although the specific mechanisms connecting them are not yet fully understood. This study aims to identify common gene signatures and uncover potential molecular mechanisms involved in the development of both DR and AMD. The gene expression profiles of GSE160306 and GSE29801 were obtained from the Gene Expression Omnibus (GEO) database to analyze the differences in gene expression between AMD, DR, and healthy samples. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed using the clusterProfiler package in R. The protein-protein interaction (PPI) network was constructed using the STRING database and Cytoscape software. Additionally, meaningful hub genes were identified through machine-learning algorithms. Receiver operating characteristic (ROC) analyses were conducted to assess the diagnostic value of the differentially expressed genes (DEGs) for DR and AMD. Overall, a total of 5 DEGs (C5, KRAS, FSTL1, KCNV2, and PILRB) were identified, and further analysis revealed key pathways, gene modules, and co-expression networks associated with DR and AMD.
Correlative, ML based and non destructive 3D analysis of intergranular fatigue cracking in SAC305 Bi solder balls
Authors: Brunner Roland , Cui Charlotte , Chamasemani Fereshteh Falah , Paulachan Priya , Sinoijya Rahulkumar , Rosc Jördis , Hartner Walter , Reisinger Michael , Imrich Peter 
Published: January 2024

Abstract

Reliable connections of electrical components embody a crucial topic in the microelectronics and power semiconductor industry. This study utilises 3D nondestructive Xray tomography and specifically developed machine learning (ML) algorithms to statistically investigate crack initiation and propagation in SAC305Bi solder balls upon thermal cycling on board (TCoB). We quantitatively segment fatigue cracks and flux pores from 3D Xray tomography data utilising a multilevel MLworkflow incorporating a 3D U-Net model. The data reveals that intergranular fatigue cracking is the predominant failure mechanism during TCoB and that dynamic recrystallisation precedes crack initiation. Moreover, we find that fatigue cracks are initiated at surface notches, flux pores and printed circuit boardmetallisation intrusions. The work provides important insights regarding the underlying microstructural and mechanical mechanisms for recrystallisation and cracking, uniting the aspects of bigdata analysis with MLalgorithms and indepth understanding about the underlying materials science.