bluuebunny/crossref_metadata_2025_split huggingface dataset:
Geochemical Modeling of the Mantle Partial Melting using Heuristic Exploration: An Optimization Model Applied to Earth Sciences
Authors: Soto-Villalobos Roberto , López Mario A. Aguirre , Walle-García Otoniel , Benavides-Bravo Francisco Gerardo , Almaguer-Martínez F-Javier , Méndez-Delgado S. , Velasco-Tapia Fernando 
Published: August 2023

Abstract
An evolution strategy-type heuristic simulation tool was developed to optimize the mantle partial melting inverse modeling. An objective or fitness function was derived from the batch equation to model the source composition and the partial melting degree from the chemistry of near primary liquids. In the search algorithm structure was considered: (a) the geochemical system constraints, (b) an initialization step, and (c) a procedure of mutation and heuristic individual selection. The heuristic simulation was successfully applied in four study cases, as mineralogical and rare earth element (REE) composition of known peridotitic sources. Partial melting conditions were reproduced with a deviation ≤ 10−6 in a reasonably practical time (∼ 2 hours) by using a desktop computer.
Phylogeny and Molecular evolution of the first local Monkeypox virus cluster in Guangdong Province, China
Authors: Zhao Wei , Yu Jianhai , Zhang Xin , Liu Jiajun , Xiang Linlin , Huang Shen , Xie Xiaoting , Fang Ling , Lin Yifan , Zhang Meng , Wang Linqing , He Jianfeng , Zhang Bao , Di Biao , Peng Bo , Liang Jingtao , Sheng Chenguang , Li Baisheng 
Published: August 2023

Abstract
The first local monkeypox (MPX) outbreak in Guangdong Province, China occurred in June 2023. However, epidemiological data failed to quickly identify the import source and transmission of the outbreak. In this study, phylogenetic and molecular evolutionary of 10 monkeypox virus (MPXV) genome sequences from Guangdong outbreak were rapidly characterized, revealing that local hidden transmissions may have occurred in Guangdong, and showing molecular epidemiological correlation of MPX outbreaks in several regions of China at the same period. The Guangdong MPXV cluster showed a further evolutionary distance than that of Japan, separated 39 single-nucleotide polymorphisms from B.1 lineage comprising 23 non-synonymous mutations in genes linked to host regulation, virus infection and virus life cycle, and displayed a unique mutation spectrum related to APOBEC3 editing, promoting the rapid viral evolution and diversification. All these findings contribute to understanding of the ongoing MPX outbreak in China, offer insights for Joint prevention and control strategies.
Digitally-Enhanced Dog Behavioral Testing: Getting Help from the Machine
Authors: Farhat Nareed H. , Lazebnik Teddy , Monteny Joke , Moons Christel Palmyre Henri , Wydooghe Eline , Linden Dirk van der , Zamansky Anna 
Published: August 2023

Abstract
The assessment of behavioral traits in dogs is a well-studied challenge due to its many practical applications such as selection for breeding, prediction of working aptitude, chances of being adopted, etc. Most methods for assessing behavioral traits are questionnaire or observation-based, which require a significant amount of time, effort and expertise. In addition, these methods are also susceptible to subjectivity and bias, making them less reliable. In this study, we proposed an automated computational approach that may provide a more objective, robust and resource-efficient alternative to current solutions. Using part of a Stranger Test protocol, we tested (n=53) dogs for their response to the presence and benign actions of a stranger. Dog coping styles were scored by three experts. Moreover, data were collected from their handlers using the Canine Behavioral Assessment and Research Questionnaire (C-BARQ) . An unsupervised clustering of the dogs' trajectories revealed two main clusters showing a significant difference in the stranger-directed fear C-BARQ factor, as well as a good separation between (sufficiently) relaxed dogs and dogs with excessive behaviors towards strangers based on expert scoring. Based on the clustering, we obtained a machine learning classifier for expert scoring of coping styles towards strangers, which reached an accuracy of 78%. We also obtained a regression model predicting C-BARQ factor scores with varying performance, the best being Owner-Directed Aggression (with a mean average error of 0.108) and Excitability (with a mean square error of 0.032). This case study demonstrates a novel paradigm of digitally enhanced canine behavioral testing.
Assessment of Dietary Patterns in Celiac Disease Patients Using Factor Analysis Method and Its Relationship with Dietary Intake and Anthropometric Measurements in Iran
Authors: Morvaridi Mehrnaz , Sadeghi Narges , Alavinejad Pezhman , Sadeghian Mehdi , Tahvilian Negin , Behbahani Hossein Bavi , Farsi Farnaz 
Published: August 2023

Abstract
Background/Objectives:
Celiac disease (CD) is a systemic and autoimmune enteropathy of the gastrointestinal tract with malabsorption characteristics. The only effective treatment for CD is to strict adherence a gluten-free diet (GFD) throughout life. the objective of this study was evaluated the dietary patterns in celiac disease patients and its relationship with dietary intake and anthropometric measurements in Iran.
Subjects/Methods:
This is a case control study on 110 patients with celiac disease who were referred to the Celiac Association of Khuzestan, Iran. Nutritional information was collected using a validated 147-item semi-quantitative food frequency questionnaire (FFQ). The software Stata (StataCorp, Version 14.0) was used to analyze the data. Principal component analysis (PCA) was used to obtain patients' dietary patterns.
Results
There was a significant relationship between age, BMI, and total energy intake with quartiles of healthy dietary pattern score (P < 0.001, P = 0.001, and P = 0.001, respectively). Also, there was a significant relationship between total energy intake with quartiles of unhealthy dietary pattern score and traditional dietary pattern (P < 0.001 and p = 0.005 respectively). Moreover, there was a significant association of odd ratio for celiac disease and traditional dietary pattern score.
Conclusions
The main findings of our study revealed that the patients who consumed healthy dietary patterns had lower odds ratio of the celiac disease incidence. Although, the rate of adhere to healthy eating pattern was related to increase BMI and daily calorie intake with rising age of participants.
Quantum scaling atomic superheterodyne receiver
Authors: Zhang Peng , Jing Mingyong , wang Zheng , Peng Yan , Yuan Shaoxin , Zhang Hao , Xiao Liantuan , Jia Suotang , Zhang Linjie 
Published: August 2023

Abstract
Measurement sensitivity is one of the critical indicators for Rydberg atomic radio receivers. This work quantitatively studies the relationship between the atomic superheterodyne receiver's sensitivity and the number of atoms involved in the measurement. The atom number is changed by adjusting the length of the interaction area. The results show that for the ideal case, the sensitivity of the atomic superheterodyne receiver exhibits a quantum scaling: the amplitude of its output signal is proportional to the atom number, and the amplitude of its read-out noise is proportional to the square root of the atom number. Hence, its sensitivity is inversely proportional to the square root of the atom number. This work also gives a detailed discussion of the properties of transit noise in atomic receivers and the influence of some non-ideal factors on sensitivity scaling. This work is significant in the field of atom-based quantum precision measurements.
Failure patterns of locoregional recurrence after reducing target volumes in patients with nasopharyngeal carcinoma receiving adaptive replanning during intensity-modulated radiotherapy: A single-center experience in China
Authors: Zhou Xiate , Zhu Jian , Zhou Chao , Wang Wei , Ding Weijun , Chen Meng , Chen Kuifei , Li Shuling , Chen Xiaofeng , Yang Haihua 
Published: August 2023

Abstract
Background
Previous researches have demonstrated that adaptive replanning during intensity-modulated radiation therapy (IMRT) could enhance the prognosis of patients with nasopharyngeal carcinoma (NPC). However, the delineation of replanning target volumes remains unclear. This study aimed to evaluate the feasibility of reducing target volumes through adaptive replanning during IMRT by analyzing long-term survival outcomes and failure patterns of locoregional recurrence in NPC.
Methods
This study enrolled consecutive NPC patients who received IMRT at our hospital between August 2011 and April 2018. Patients with initially diagnosed, histologically verified, non-metastatic nasopharyngeal cancer were eligible for participation in this study. The location and extent of locoregional recurrences were transferred to pretreatment planning computed tomography for dosimetry analysis.
Results
Among 274 patients, 100 (36.5%) received IMRT without replanning and 174 (63.5%) received IMRT with replanning. Five-year rates of locoregional recurrence-free survival (LRFS) were 90.1% (95%CI, 84.8–95.4%) and 80.8% (95%CI, 72.0–89.6%) for patients with and without replanning, p = 0.045. There were 17 locoregional recurrences in 15 patients among patients with replanning, of which 1 (5.9%) was out-field and 16 (94.1%) were in-field. Among patients without replanning, 19 patients developed locoregional recurrences, of which 1 (5.3%) was out-field, 2 (10.5%) were marginal, and 16 (84.2%) were in-field.
Conclusions
In-field failure inside the high dose area was the most common locoregional recurrent pattern for non-metastatic NPC. Adapting the target volumes and modifying the radiation dose prescribed to the area of tumor reduction during IMRT were feasible and would not cause additional recurrence in the shrunken area.
Origin of filaments in finite-time in Newtonian and non-Newtonian thin-films
Authors: Sharma Saksham , Wilson D. Ian 
Published: August 2023

Abstract
The sticky fluids found in pitcher plant leaf vessels can leave fractal-like fil- aments behind when dewetting from a substrate. To understand the origin of these filaments, we investigate the dynamics of a retreating thin-film of aqueous polyethylene oxide (PEO) solutions which partially wet polydimethyl siloxane (PDMS) substrates. Under certain conditions the retreating film gen- erates regularly-spaced liquid filaments. The early-stage thin-film dynamics of dewetting are investigated to identify a theoretical criterion for liquid fil- ament formation. Starting with a linear stability analysis of a Newtonian or simple non-Newtonian (power-law) thin-film, a critical film thickness is iden- tified which depends on the Hamaker constant for the fluid-substrate pair and the surface tension of the fluid. When the measured film thickness is smaller than this value, the film is unstable and forms filaments as a result of van der Waals forces dominating its behaviour. This critical film-height is compared with experimental measurements of film thickness obtained for receding films of Newtonian (glycerol-water mixtures) and non-Newtonian (PEO) solutions generated on substrates inclined at angles 0°, 30°, and 60° to the vertical. The observations of filament and its absence show good agreement with the theory. Further analysis of the former case, involving a stability analysis of the con- tact line, yields a prediction of the spacing (wavelength) λˆf between filaments as λˆηˆ/ϒˆ∝Ca, where ˆCa is the capillary number for contact line motion: our experiments yield λˆηˆ/ϒˆ∝Ca1.08 and earlier studies in the literature reported λˆηˆ/ϒˆ∝Ca0.945. The evolution of the thin-film shape is modelled numerically to show that the formation of filaments arises because the thin-film equation features a singular solution after a finite-time, hence termed a “finite-time sin- gularity”.
Smoothing Randomized Block-coordinate Proximal Gradient Algorithms for Nonsmooth Nonconvex Composite Optimization
Authors: Bian Wei , Li Xue 
Published: August 2023

Abstract
In this paper, we propose a smoothing randomized block-coordinate proximal gradient (S-RBCPG) algorithm and a Bregman randomized block-coordinate proximal gradient (B-RBCPG) algorithm for minimizing the sum of two nonconvex nonsmooth functions and one of which is separable. The pivotal tool of our analysis is the connection of the proximal gradient mapping with V-proximal mapping and Bregman proximal mapping. S-RBCPG algorithm overcome the non-smoothness issue of the objective function by utilizing the smoothing technique and we establish its subsequential convergence. Further, B-RBCPG algorithm is designed for cases where the separable function is separately relative smooth (that is, each separation part is relative smooth). Then, we establish the global convergence and R-linear convergence rate of the B-RBCPG algorithm under expectation by assuming the Kurdyka-Łojasiewicz property on the objective function without any convexity assumption. Finally, we use numerical experiments to illustrate the effectiveness and convergence of the proposed algorithms.
MSC Classification: 90C30 , 90C26 , 65K05
Twin chain: A Blockchain based Federated Learning Intrusion Detection System usingOptimized Backpropagation based Neural Network for Edge Assisted IoT Networks
Authors: Narayanan Uma , Paul Varghese 
Published: August 2023

Abstract
Ensuring security and privacy in IoT environments is a critical concern due to the prevalence of intrusions. Federated learning (FL) has emerged as a prominent technology for intrusion detection without compromising data privacy. This study proposes a novel model called BlockFL-IDS (Blockchain-based Federated Learning for Intrusion Detection System) that combines blockchain and deep learning approaches for effective intrusion detection. The BlockFL-IDS model consists of three key processes: efficient client selection, secure channel selection, and federated learning-based IDS. To streamline the complexity of federated learning, we employ Auction game theory to select efficient clients based on metrics such as trust, energy, bandwidth, and network conditions. Furthermore, we employ the Base Criterion Method (BCM), a multicriteria decision-making algorithm, for secure channel selection. BCM evaluates multiple criteria, including noise, path loss, channel quality, stability, trust, and fading, resulting in improved accuracy and reduced data loss in intrusion detection. For federated learning, we utilize the Optimized Back Propagation-based Deep Belief Network (OB-DBN), enabling the generation of both local and global models. The edge server generates local models, extracting packet-based features from client data for intrusion detection. Cloud servers aggregate these local models to create global models stored in a circular-based regression tree structure to enhance scalability and reduce retrieval time. The proposed OB-DBN algorithm calculates backpropagation error, facilitating loss reduction and weight updates. To evaluate the performance of the BlockFL-IDS model, we implement it using the NS-3.26 network simulator and assess its effectiveness using various performance metrics. Through our research, we aim to address security and privacy concerns in IoT environments, providing an innovative solution that enhances intrusion detection while preserving data privacy.
Study of India stock prices (2023) of Banks and prediction based on ARIMA models
Authors: Bhuvaneshwari S. , Rajini S. Nirmala Sugirtha 
Published: August 2023

Abstract
Many investors, both novice and seasoned, have made considerable profits by strategizing and investing in stocks over the years. The study described in this paper uses a time series approach to model and forecast the stock values of the State Bank of India and the Indian Bank in India. From the Yahoo Finance web-site, we retrieved the stock prices for SBIN.NS and INDIANB.NS. This article’s primary goal is the Hampel filter-based outlier detection of stock prices. We used the Augmented Dickey-Fuller (ADF) test and the Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test to check the time series of stock prices for stationarity. We also discovered the (partial) autocorrelation function graphs (PACF/ACF). Finally, we used the AutoRegressive Integrated Moving Average (ARIMA) models to forecast the stock values of Indian banks.
Structural, Electronic, Elastic, Magnetic and Optical Properties of BaXN3(X=K, Rb) perovskites: An Ab-initio DFT Study
Authors: benatmane saadiya 
Published: August 2023

Abstract
The full-potential linearized augmented plane waves (FP-LAPW) method, which is based entirely on functional density theory (DFT), is used to investigate the structural, electronic, magnetic, optical, and elastic properties of BaXN3(X = K, Rb). This method also employs the Generalized Gradient Approximation (GGA) and a modified Beck Johnson TB-mBJ potential in the exchange correlation term. When the resulting structural properties were examined, the findings showed that our compounds are best stable when they are configured as ferromagnetic materials. The formation energy value demonstrated that these chemicals could be produced experimentally. Additionally, the estimated band structures show that BaXN3(X = K, Rb) exhibits half-metallic behavior with an indirect band gap. The total and partial density of state curves were used to assess the contributions of the various bands. Additionally, we discovered that the total magnetic moment is an integer of 6 µB, confirming the half-metallic nature. The primary source of the magnetic moment is the spin-polarization of the p electrons in N atoms. The mechanical stability of these compounds has been discovered. The elastic parameters are obtained, including the elastic constants, bulk modulus, anisotropy factor, Poisson's ratio, and Pugh's ratio. The optical spectra are calculated for the energy range of 0 to 30 eV, including the real and imaginary components of the dielectric function, extinction coefficient, and refractive index.
Corrosion of 9Cr steel by hot CO2 gas: effects of O2 and H2O
Authors: Rouillard F. , Jomard F. , Latu-Romain L. , Martinelli L. , Miserque F. , Young D. J. 
Published: August 2023

Abstract
The initial stages of oxidation of 9Cr steel in CO2, O2, CO2-O2 and CO2-O2-H2O is studied by Gas Phase Analysis (GPA) at 550°C using 13C16,16O2, 18,18O2 and 2H216O isotopic molecules in order to discriminate the reactions of all gas molecules. Protective and non-protective oxide scales are formed on 9Cr steel depending on the exact composition of the gas mixture. In pure CO2, 9Cr steel forms a slow growing chromium rich oxide scale without any carburization. Adding O2 impurities in CO2 favors the formation of fast growing iron rich duplex oxide scale coupled to strong carburization. Adding several % of O2 in CO2 favors again the formation of slow growing oxide scale but with different structure and composition than in pure CO2. GPA analyses combined with oxide scale analyses demonstrate that the composition and structure of the transient oxide scale formed on 9Cr surface is determined by the rate at which surface adsorbed oxygen atoms are supplied by the gas phase in the first minutes of exposure. The presence of the very oxidizing O2 molecules in CO2 increases drastically the surface oxidation rate and favors the formation of non-protective duplex oxide scale against carburization. Adding water vapor to a CO2 gas environment slows carburization. Preferential adsorption of water vapor molecules over CO2/CO molecules in the inner oxide scale is proposed to explain this result. A unified mechanism for the formation of the transient oxide scale on 9Cr steel in CO2/O2/H2O gas mixtures is described.
Grid convergence study for the prediction of hemolysis in blood circulatory devices: sensitivity to the form of equivalent stress and turbulence simulation methods
Authors: Zhang Ke-Jia , Wu Peng 
Published: August 2023

Abstract
Hemolysis and related complications induced by non-physiological stress are major concerns during the development and clinical applications of blood circulatory devices. Turbulence is one of the primary causes of hemolysis. To consider turbulence effects on hemolysis, various turbulence simulation methods and stress forms were employed or proposed. Nonetheless, the results showed significant divergence for different stress forms and turbulence simulation methods, discrediting hemolysis prediction as an important tool for the design, optimization and evaluation of blood circulatory devices. This study aims at quantitatively investigating the grid convergence for the prediction of hemolysis in blood circulatory devices, with a focus on its sensitivity to the stress forms and turbulence simulation methods. We revealed the integral of equivalent stress has very different characteristics of grid convergence. For Reynolds-averaged Navier-Stokes (RANS) method, grid convergence was less demanding on grid size and insensitive to stress forms. For large eddy simulation (LES), grid convergence was demanding and sensitive to stress forms, with highest uncertainty for the “total scalar stress”, followed by “viscous stress”. The “energy-dissipation stress” showed the best grid convergence for both RANS and LES. We also observed a significant divergence for metrics based on “total scalar stress” under different turbulence simulation methods, while the “energy-dissipation stress” showed a much higher consistency. We show the combination of energy-dissipation stress and LES can better capture the trend of hemolysis and has the best grid convergence. This study provides insights for a better prediction of hemolysis in turbulent flows in blood circulatory devices.
Substitution Analytical Model for Finite Element Method to Predict Distribution of Flux density for Flux Switching Permanent Magnet with E-Core Shape of Stator at no load
Authors: Shirzad Ehsan 
Published: August 2023

Abstract
In this essay, a two-dimensional analytical model for switched flux machines without permanent magnet brushes with E-shape of stator is presented. This machine is a suitable choice for use in hybrid vehicles, due to high power density of this configuration. The radial and tangential components of the magnetic flux density in the presence of only magnets are calculated based on Maxwell's equations and the subdomain method for different areas of the machine, including air gaps. Finally, in order to validate the proposed model of the essay, the results extracted from the analytical model are compared with the results obtained from the finite element method