bluuebunny/crossref_metadata_2025_split huggingface dataset:
Weyl cones revealed by the anomalous Nernst effect in MnBi4Te7
Authors: Zeugner Alexander , Folkers Laura , Hess Christian , Büchner Bernd , Isaeva Anna , Marré Daniele , Caglieris Federico , Ceccardi Michele 
Published: June 2023

Abstract
The recently discovered magnetic topological insulators (MnBi2Te4)(Bi2Te3)n, n = 0-4, are an ideal playground to study the influence of magnetic properties on band topology, giving access to diverse quantum states in a single compound. In the low temperature-antiferromagnetic state and vanishing magnetic field, the n=1 system is a topological insulator protected by a combination of time reversal and a translation symmetries. It has been argued that, when the antiferromagnetic phase is forced to a the fully spin polarized state by the application of an external magnetic field, this system develops Weyl cones in the conduction band, which become accessible in presence of an intrinsic electronic doping. In this work, we experimentally prove the raising of field-induced Weyl state through the detection of an instrinsic anomalous Nernst effect in a bulk single crystal of MnBi4Te7.
River freshwater effects on the South-East Asian ocean dynamics
Authors: Capuano Tonia Astrid , Herrmann Marine , Dobbler Delphine , Koch-Larrouy Ariane , Weiss Lisa , Maes Christophe 
Published: June 2023

Abstract
River freshwater fluxes are fundamental inputs for regional and global ocean models. Nonetheless, most models are currently forced by climatological runoff data, encompassing several limitations and resulting in significant biases in the simulated ocean conditions. This study evaluates daily river discharge into South East Asia (SEA), a region having one of the greatest runoffs in the world. The discharge data are provided at 1/10° resolution by the Global Flood Awareness System (GloFAS) reanalysis through comparison with observed river discharge records and climatology. The advantages of using such a high resolution runoff product in a regional numerical ocean simulation are assessed by looking at its impact on the variability and distribution of the simulated sea surface salinity (SSS), mesoscale processes and particles’ Lagrangian dispersion within the Indonesian seas. Our results show a satisfying performance of the GloFAS product for the major rivers of the South China Sea, while no systematic errors were identified in the remaining areas of interest. Finally, for a realistic modeling of the whole SEA region, we underline the importance of using accurate river discharges in order to properly reproduce the local mesoscale dynamics, which play a key role in shaping the SSS patterns and affect the surface stranding of marine debris.
Concentration, spatial distribution, and source apportionment of heavy metals in agricultural soils from the Yarlung Zangbo River Basin, Tibet Plateau
Authors: Xiao Fangjing , Cui Xiaomei , Zhao Yuanzhao , Fu Jianjie , Yu Tao , Bu Duo , Zhang Qiangying 
Published: June 2023

Abstract
In this study, 112 agricultural topsoil samples were collected from the Yarlung Zangbo River Basin (YZRB) and its two tributaries, and the concentrations, spatial distribution, source apportionment, and potential ecological risk of eight heavy metals (Cd, Hg, Pb, Cr, Cu, Zn, Ni and As) were analyzed. The mean concentrations of Cu, Pb, Zn, Cr, Ni, Cd, As, Hg and Pb were 33.91, 28.21, 86.93, 109.04, 73.58, 0.12, 21.49 and 0.05 mg/kg respectively. Except for Pb, the concentration of heavy metals in soil exceeded the corresponding local background values, but did not exceed the national soil pollution risk screening values. In terms of spatial distribution, it showed that the heavy metals were enriched in the Nianchu River, and followed by Lhasa River and YZRB mainstream. Furthermore, the ecological risks were ordered as Hg > Cd > As > Ni > Cu > Pb > Cr > Zn, and the potential ecological risk index of the YZRB fell in the range of moderate ecological risk. The high risk areas were near the greenhouses of the Nianchu River, which was mainly related to agricultural activities. In addition, the positive matrix factorization results showed traffic, agricultural activities, soil parent material, and atmospheric transport sources were the four sources in soils of the YZRB. This work will provide scientific reference for the comprehensive prevention and control of heavy metal pollution in soils of agricultural facilities in the YZRB of Tibetan Plateau.
Modeling and analysis of a periodic delays spatialdiffusion HIV model with three-stage infection process
Authors: Wu Peng 
Published: June 2023

Abstract
considering the antiviral antiviral drugs can act on the fusion, reverse transcription, and buddingstages of HIV infected cells, in this paper, we formulate a two periodic delays heterogeneous spacediffusion HIV model with three-stage infection process to study the effects of periodic antiviral treatment and spatial heterogeneity on HIV infection process. We first study the well-posedness of the fullsystem incorporates the ultimate boundedness, the global existence of the solution and the existenceof strong global attractor for ω-periodic semiflow for the model. We derive the basic reproductionnumber R0, which is defined as the spectral radius of the next generation operator. We further provethat R0 is a threshold for the elimination and persistence of HIV infection by comparison principle andpersistence theory for nonautonomous system, i.e., the HIV infection will be eliminated when R0 < 1and will persist when R0 > 1. In the spatial homogeneous case, we obtain the explicit expression of R0and show the global attractivity of the positive steady state by using the fluctuation method. Somenumerical simulations are conducted to illustrate the theoretical results and our works suggest thatboth spatial heterogeneity and periodic delays caused by periodic antiviral therapy have a remarkableimpact on the progression of HIV infection and should not be overlooked in clinical treatment process.
Obstructive Sleep Apnea in Developmental Age: 22-item Pediatric Sleep Questionnaire for an Observational Descriptive Investigation
Authors: Cremonini Francesca , Zucchini Ludovica , Pellitteri Federica , Lombardo Luca 
Published: June 2023

Abstract
Objectives:
To perform an observational descriptive study of the Obstructive Sleep Apnea Syndrome (OSAS) in a population of children, evaluating the prevalence and role of sex and age variables.
Materials and Methods:
The 22-item Pediatric Sleep Questionnaire (PSQ) was administered to parents of children aged 3 to 12 years. The questionnaire is a very simple tool because it allows to indicate patients with possible OSAS diagnosis through a cut-off of 0.33.
The anonymous diagnostic questionnaire, available in digital format, was administered to the population under study by link or QR code. Only the questionnaires completed in all their parts were recorded and analyzed
Results:
832 questionnaires were collected. 154 subjects obtained a PSQ score > 0.33 and the prevalence of OSAS was 18.51%. The Chi-square test showed a statistically significant association between the PSQ score > 0.33 and male sex. The higher prevalence of subjects with a value of PSQ > 0.33 (n = 277) are aged 3-4-5 years, followed by the 6-7-8 range in the group with PSQ score > 0.33, p < 0.05.
Conclusions:
The prevalence of OSAS was 18.51% in children aged 3-12 years. The variables male biological sex and the age group 3-8 year were statistically significant for subjects with OSAS diagnosis.
Clinical Relevance:
This study underlines the use of the 22-item Pediatric Sleep Questionnaire as a first screening tool to identify children at risk of OSAS.
Distortion prediction method for large-scale additive metal components based on feature partitioning and temperature function method
Authors: Li Bobo , Zhang Jiong , Yin Jun , Gao Enze , Yang Guang 
Published: June 2023

Abstract
Laser deposition manufacturing (LDM) technology provides the potential to manufacture large, difficult-to-process metal components for aerospace and other applications. However, the residual stresses resulting from the considerable temperature gradients in the LDM process can cause distortion and even cracking of the fabricated components. Quickly predicting the distortion of large additive metal components is critical to achieving distortion control and high-quality forming of large components. Based on the principle of LDM technology, this paper proposes a partitioning method based on typical geometric features for aerospace titanium alloy frames, beams, and wall plates. It establishes a rapid prediction method for distortion of large additive metal components based on feature partitioning and temperature function method (TFM) by considering the effect of critical parameters of temperature function on distortion prediction. The results show that the prediction of additive component distortion by this method agrees with the traditional method and experimental results. Furthermore, the computational efficiency of the method has improved by 96% compared to the traditional approach, meeting the need for rapid distortion prediction in large metal additive components.
Comparison of post-operative pain following mesh fixation using human fibrin glue versus staples in transabdominal preperitoneal inguinal hernia repair
Authors: Malla Siva Sai Kumar , Rattu Pawan Kumar , Ali Shadan , Andley Manoj 
Published: June 2023

Abstract
Purpose
Postoperative pain and other potential complications related to fixation of mesh prostheses using staples and other traumatic penetrating devices in laparoscopic trans-abdominal preperitoneal (TAPP) hernioplasty prompted us to explore the use of non-traumatic human fibrin glue for mesh fixation. The aim of the current study was to compare postoperative pain in patients who underwent TAPP inguinal hernia repair, where the mesh fixation was done using human fibrin glue and staples.
Methods
The current study was a randomized controlled trial done between January 2021 and June 2022. Patients with a diagnosis of primary, uncomplicated, inguinal hernia were included in the study. 72 patients were enrolled, and after randomization, patients were allocated into two groups of 36: an experimental group where mesh was fixed with human fibrin glue and a control group with tackers. At one month after surgery, postoperative pain was assessed using the Visual Analog Scale (VAS).
Results
No significant difference was seen in the total time for surgery between the experimental arm and the control arm. There was a significant difference in duration of hospital stay between the mesh fixation with fibrin glue and with tackers (p < 0.05). Patients in the fibrin glue group had a lower incidence of seroma formation within the 7th postoperative day, lesser postoperative pain, and better quality of life (QoL) at 1 month post-op.
Conclusion
Considering the better outcomes of the technique, fibrin glue fixation should be preferred over tackers for mesh fixation in TAPP.
The Wong-Zakai approximations of stochastic inertial manifolds for evolution equations
Authors: Zhao Junyilang , Shen Jun 
Published: June 2023

Abstract
In this paper, we study the Wong-Zakai approximations given by a stationary process via the Wiener shift and their associated dynamics of a class of stochastic evolution equations with an additive white noise. We show the existence of solutions as well as stochastic inertial manifolds for both the approximation systems and the original system. Furthermore, we prove that solutions and stochastic inertial manifolds of the approximation system are approaching to those of the original system respectively in the sense of probability.
Robust Enhanced Collaborative Filtering Without Explicit Noise Filtering
Authors: Fan Rong , Wang Zhenhai , Guo Yunlong , Xu Yuhao , Wang Zhiru , Li Weimin 
Published: June 2023

Abstract

Graph convolutional neural networks have been successfully applied to collaborative filtering to capture high-quality user–item representations. Despite their remarkable performance, there are still limitations that hinder further improvement of recommender systems. Most existing recommender systems utilize implicit feedback data for model training; however, this approach inevitably introduces adversarial interaction noise. The conventional graph-based collaborative filtering method fails to effectively filter out this noise and, instead amplifies its impact, resulting in degraded model performance. To address this issue, we propose a robustness-enhanced collaborative filtering graph neural network model that does not rely on explicit noise filtering. Our approach involves simulating user–item interactions that do not exist in practice as adversarial interaction noise using random noise. To mitigate the impact of this noise in hidden feedback, we replace them with randomly selected partial nodes based on the principle of mutual information maximization. This approach not only improves model performance but also enhances the robustness of the model. Through experimental demonstrations on three benchmark datasets, our model exhibits significant improvement, thereby validating the effectiveness and interpretability of our proposed approach.
Optimization of parameters for image denoising algorithm pertaining to Generalized Caputo-Febrizio Fractional Operator
Authors: Gaur Sanjay , Khan A.M. 
Published: June 2023

Abstract
The aim of the present paper is to optimize the values of different parameters related to the image denoising algorithm involving Caputo Febrizio fractional integral operator of non-singular type with the Mittag-Leffler function in generalized form. The algorithm aims to find the coefficients of a kernel to remove out the noise from images. The optimization of kernel coefficients are done on the basis of the different numerical parameters like Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Structure Similarity Index measure (SSIM) and Image Enhancement Factor (IEF). The performance of the proposed algorithm is investigated through above mentioned numeric parameters and visual perception with the other prevailed algorithms Experimental results demonstrate that the proposed optimized kernel based on generalized fractional operator performs favorably compared to state of the art methods. The uniqueness of the paper is to highlight the optimized values of performance parameters for different values of fractional orders.
Mathematics subject classification: 345A08, 68U10, 94A08.
Determination of the binary diffusion coefficients and interaction viscosities of the systems carbon dioxide-nitrogen and ethane-methane in the dilute gas phase from accurate experimental viscosity data using the kinetic theory of gases
Authors: Vogel Eckhard , Bich Eckard , Hellmann Robert 
Published: June 2023

Abstract
The results of viscosity measurements at moderate densities on the two gaseous mixtures carbon dioxide-nitrogen and ethane-methane including the pure gases between 253.15 K and 473.15 K, originally performed by Humberg et al. at Ruhr University Bo\-chum, Germany, using a rotating-cylinder viscometer between 0.1 MPa and 2.0 MPa, were employed to determine the interaction viscosity, eta12(0), and the product of molar density and diffusion coefficient, (rho D12)(0), each in the limit of zero density. The isothermal viscosity data were evaluated by those authors with density series restricted to the second order at most to derive the zero-density viscosities and initial density viscosity coefficients, etamix(0) and etamix(1), for the mixtures, as well as, etai(0) and etai(1) (i=1,2), respectively, for the pure gases. Humberg et al. have already compared their etamix(0) and etai(0) data for carbon dioxide-nitrogen and ethane-methane with corresponding viscosity values theoretically computed for the nonspherical potentials of the intermolecular interaction. Now we employed etamix(0) and etamix(1) as well as etai(0) and etai(1) in two procedures to derive eta12(0) values. For this, we needed A12* values (ratio between effective cross-sections of viscosity and diffusion). But the second procedure applying the initial density viscosity coefficients etamix(1) and etai(1) failed to yield reasonable eta12(0) values. The first procedure should provide the best results when it is possible to use A12* values computed for the nonspherical potential. The effect is comparatively small if eta12(0) is determined. But if (rho D12)(0) is calculated from eta12(0) using A12* values for the nonspherical potential, the impact is several percent. Moreover, the experimentally based eta12(0) and (rho D12)(0) data agree with theoretically calculated values for the nonspherical potentials.
Hesitation to vaccination for COVID-19 among the Brazilian adult population
Authors: Pott Junior Henrique , Pott Eveline Tonelotto Barbosa 
Published: June 2023

Background: This study assessed the perceptions and attitudes of the Brazilian adult population about COVID-19 vaccines, seeking to identify which factors are associated with vaccine hesitancy and lack of trust in vaccines to support individual or group strategies for welcoming and guidance.
Methods: This is a national survey using a self-report web instrument in a representative sample of the Brazilian adult population (N=1700). The survey included sociodemographic and quality of life (QoL) questions, general information on COVID-19, and a vaccine-specific questionnaire.
Results: The vast majority of our sample expressed favorable opinions regarding COVID-19 vaccination, but there was also a minor fraction (2.2%) of respondents who are hesitant about COVID-19 vaccination. Most of them were males within the age range of 30 to 59 years and reported that their reasons for vaccine hesitation are mainly due to uncertainty about safety (57.9%) and efficacy (36.8%) of vaccines, followed by concern with their development, that is, the issue of timing and the adoption of a new development technology (28.9%). Further, while the impact of groups and peers on those who hesitate to vaccinate was not clear, their perception of a low risk of contracting the disease is evident.
Conclusions: There is a need to develop targeted strategies to increase effective communication about the risks and benefits of COVID-19 vaccines. Uncertainty about the safety and efficacy of vaccines, the timing, and the adoption of new development techniques affect significantly the perceptions on the vaccine COVID-19 acceptance.
A shock-capturing meshless method for solving the one-dimensional Saint-Venant equations on a highly variable topography
Authors: Satyaprasad D. , Kuiry Soumendra Nath , Sundar S. 
Published: June 2023

Abstract
The Saint-Venant equations are numerically solved to simulate free surface flows in one dimension. A Riemann solver is needed to compute the numerical flux for capturing shocks and flow discontinuities occurring in flow situations such as hydraulic jump, dam-break wave propagation, or bore wave propagation. A Riemann solver that captures shocks and flow discontinuities is not yet reported to be implemented within the framework of a meshless method for solving the Saint-Venant equations. Therefore, a wide range of free surface flow problems cannot be simulated by the available meshless methods. In this study, a shock-capturing meshless method is proposed for simulating one-dimensional (1D) flows on a highly variable topography. The Harten–Lax–van Leer Riemann solver is used for computing the convective flux in the proposed meshless method. Spatial derivatives in the Saint-Venant equations and the reconstruction of conservative variables for flux terms are computed using a weighted least square approximation. The proposed method is tested for various numerically challenging problems and laboratory experiments on different flow regimes. The proposed highly accurate shock-capturing meshless method has the potential to be extended to solve the two-dimensional (2D) shallow water equations without any mesh requirements.
Fixed-bed column sorption kinetic rates on the removal of both biochemical oxygen demand (BOD5) and chemical oxygen demand (COD) in domestic greywater by using palm kernel activated carbon
Authors: Oteng-Peprah Michael , Obeng Peter Appiah , Acheampong Mike Agbesi , Anang Michael Akrofi 
Published: June 2023

Abstract
The increasing organic loads, specifically biochemical oxygen demand (BOD5) and chemical oxygen demand (COD), in water bodies has necessitated greywater treatment before disposal. Limited studies have explored sorption kinetics of BOD5 and COD removal using activated carbon from palm kernel shell in fixed-bed columns. This study investigated continuous sorption using activated carbon from palm kernel in removing BOD5 and COD from domestic greywater. The activated carbon had a density of 0.46 g cm−3 and a surface area of 584 m2 g−1. The experiment was conducted in a 37 cm high, 2.5 cm diameter Perspex column, with varying flowrates of 5–15 mL min−1, and bed depths of 10, 15, and 20 cm. Greywater with BOD5 concentration of 251 mg L−1 and COD of 421 mg L−1 was used for this study. Effluent was collected at specified time intervals, analyzed for BOD5 and COD, and fitted to the Thomas, Yoon–Nelson, Adams–Bohart, and Bed Depth Service Time (BDST) models. The Yoon–Nelson model exhibited good agreement, as compared to Thomas and BDST while the Adams–Bohart model showed lower fit. The adsorbent demonstrated sorption capacities of 34 mg g−1 for BOD5 and 56 mg g−1 for COD, suggesting its potential for greywater treatment, particularly in BOD5 and COD removal.
The effect of water footprint and economic growth on environmental degradation: applications of optimization modeling
Authors: Li Yunrong , Dou Yuanyuan 
Published: June 2023

Abstract
In this study, the effect of economic growth, energy consumption, biological capacity, and trade liberalization on the economic water footprint of consumption as an indicator of environmental degradation was investigated. An optimization framework was developed to find the maximum values of economic water footprint based on environmental, ecological, energy, and technical constraints. The results of the study showed that the simulated relationship can be used together to estimate long-term relationships between variables, there is a positive and significant relationship between ecological footprint and biological capacity and a negative and significant relationship between trade globalization and economic water footprint. The middle form of the ecological footprint N also increases energy consumption leading to an increase in the economic water footprint. Moreover, the results showed that there is a relationship with economic growth, and this indicates that the increase in economic growth in this region will lead to further destruction of the environment.