bluuebunny/crossref_metadata_2025_split huggingface dataset:
Local structural modelling and local pair distribution function analysis for Zr–Pt metallic glass
Authors: Hirata Akihiko , Tokuda Satoru , Nakajima Chihiro , Zha Siyuan 
Published: June 2024

AbstractIn disordered glass structures, the structural modelling and analyses based on local experimental data are not yet established. Here we investigate the icosahedral short-range order (SRO) in a Zr–Pt metallic glass using local structural modelling, which is a reverse Monte Carlo simulation dedicated to two-dimensional angstrom-beam electron diffraction (ABED) patterns, and local pair distribution function (PDF) analysis. The local structural modelling invariably leads to the icosahedral SRO atomic configurations that are similarly distorted by starting from some different initial configurations. Furthermore, the SRO configurations with 11–13 coordination numbers reproduce almost identical ABED patterns, indicating that these SRO structures are similar to each other. Further local PDF analysis explicitly indicates the presence of the wide distribution of atomic bond distances, which is comparable to the global PDF profile, even at the SRO level. The SRO models based on the conventional MD simulation can be strengthened by comparison with those obtained by the present local structural modelling and local PDF analysis based on the ABED data.
Analysis of the urine flow characteristics inside catheters for intermittent catheter selection
Authors: Lee Kyeongeun , Han Jeongwon 
Published: June 2024

AbstractIn this study, we conducted a numerical analysis on catheter sizes using computational fluid dynamics to assess urinary flow rates during intermittent catheterization (IC). The results revealed that the fluid (urine) movement within a catheter is driven by intravesical pressure, with friction against the catheter walls being the main hindrance to fluid movement. Higher-viscosity fluids experienced increased friction with increasing intravesical pressure, resulting in reduced fluid velocity, whereas lower-viscosity fluids experienced reduced friction under similar pressure, leading to increased fluid velocity. Regarding urine characteristics, the results indicated that bacteriuria, with lower viscosity, exhibited higher flow rates, whereas glucosuria exhibited the lowest flow rates. Additionally, velocity gradients decreased with increasing catheter diameters, reducing friction and enhancing fluid speed, while the friction increased with decreasing diameters, reducing fluid velocity. These findings confirm that flow rates increased with larger catheter sizes. Furthermore, in terms of specific gravity, the results showed that a 12Fr catheter did not meet the ISO-suggested average flow rate (50 cc/min). The significance of this study lies in its application of fluid dynamics to nursing, examining urinary flow characteristics in catheterization. It is expected to aid nurses in selecting appropriate catheters for intermittent catheterization based on urinary test results.
Noise modelling and mitigation for broadband in‐door power line communication systems
Authors: Adegoke Ogunlade M. , Gbadamosi Saheed Lekan , Adejumobi Babatunde S. , Owolabi Israel E. , Oke Wasiu Adeyemi , Nwulu Nnamdi I. 
Published: June 2024

AbstractCommunication systems are greatly hampered by many disruptive noises in powerline communication systems (PLC), which come with strong interference, resulting in the malfunction of PLC systems. Hence, there is a need to model noise and its effect on communication systems. This paper presents noise modelling and mitigation techniques for indoor broadband powerline communication systems. To model the PLC noise, frequency domain measurements employing the GSP‐930 spectrum analyser were carried out to determine the noise frequency response in the frequency range of 1–30 MHz. The results obtained were plotted. While the analytical model for the noise model is presented, furthermore, noise mitigation techniques for multiple input multiple output PLC (MIMO‐PLC) systems in the form of spatial modulation PLC systems have been proposed. The SM‐PLC system employs the indices of the individual transmit lines to increase the data rate, as opposed to the traditional MIMO‐PLC systems, where the symbol to be transmitted is transmitted by duplicating the symbol across all lines. The proposed system uses the maximum likelihood (ML) detector at the receiver to obtain estimates of the transmitted symbols. The simulation results of the SM‐PLC system are compared with the already existing MIMO‐PLC system and show a significant improvement of ≈6 dB and 5.2 dB in signal‐to‐noise ratio (SNR) at a bit error rate of 10(−5) for spectral efficiencies of 4 bits per channel use (bpcu) and 6 bpcu, respectively. On comparison of the SM‐PLC system having a combination of additive white Gaussian noise and impulse noise at the receiver, the SM‐PLC system outperformed the traditional MIMO‐PLC by 3.5 and 3.8 dB in SNR for 4 and 6 bpcu, respectively.
Safe affine formation using terminal sliding mode control with input constraints
Authors: Liu Bo , Wang Zhenhuan , Wang Changhong , Zhao Xinyang , Zheng Yuanxun 
Published: June 2024

AbstractFormation control is a fundamental task in the realm of autonomous multiagent systems. To drive a group of agents to maneuver continuously with the desired formation, this paper studies the finite‐time affine formation control problem with disturbances, input constraints and safety guarantee. A non‐singular terminal sliding mode control (NTSMC) is implemented to achieve finite‐time convergence of all followers to their desired positions. Additionally, an auxiliary system is deployed to address input constraints resulting from the physical properties of the affine formation system. To mitigate the impact of lumped disturbances, a finite‐time disturbance observer (FTDO) is employed to estimate the disturbances and compensate for their effects. Based on FTDO, the auxiliary system and the above NTSMC, a finite‐time robust controller is developed as the nominal controller. By modifying the nominal controllers to comply with safety constraints, control barrier functions are employed to ensure the safety of the formation system in obstacle‐filled environment. Finally, the effectiveness and feasibility of this method are validated through simulations and real‐world experiments.
Lightweight environment sensing algorithm for intelligent driving based on improved YOLOv7
Authors: Qian Guoyong , Xie Dongbo , Bi Dawei , Wang Qi , Chen Liqing , Wang Hai 
Published: June 2024

AbstractAccurately and quickly detecting obstacles ahead is a prerequisite for intelligent driving. The combined detection scheme of light detection and ranging (LiDAR) and the camera is far more capable of coping with complex road conditions than a single sensor. However, immediately afterward, ensuring the real‐time performance of the sensing algorithms through a significantly increased amount of computation has become a new challenge. For this purpose, the paper introduces an improved dynamic obstacle detection algorithm based on YOLOv7 (You Only Look Once version 7) to overcome the drawbacks of slow and unstable detection of traditional methods. Concretely, Mobilenetv3 supplants the backbone network utilized in the original YOLOv7 architecture, thereby achieving a reduction in computational overhead. It integrates a specialized layer for the detection of small‐scale targets and incorporates a convolutional block attention module to enhance detection efficacy for diminutive obstacles. Furthermore, the framework adopts the Efficient Intersection over Union Loss function, which is specifically designed to mitigate the issue of mutual occlusion among detected objects. On a dataset consisting of 27,362 labelled KITTI data samples, the improved YOLOv7 algorithm achieves 92.6% mean average precision and 82 frames per second, which reduces the Model_size by 85.9% and loses only 1.5% accuracy compared with the traditional YOLOv7 algorithm. In addition, this paper builds a virtual scene to test the improved algorithm and fuses LiDAR and camera data. Experimental results conducted on a test vehicle equipped with a camera and LiDAR sensor demonstrate the effectiveness and significant performance of the method. The improved obstacle detection algorithm proposed in this research can significantly reduce the computational cost of the environment perception task, meet the requirements of real‐world applications, and is crucial for achieving safer and smarter driving.
Research and design of image style transfer technology based on multi‐scale convolutional neural network feature fusion
Authors: Liang Yongzhen , Lin Feng , Xie Wensheng , Wang Jinzhong , Nie Tian 
Published: June 2024

AbstractTo reduce the occurrence of information loss and distortion in image style transfer, a method is proposed for researching and designing image style transfer technology based on multi‐scale convolutional neural networks (CNNs) feature fusion. Initially, the VGG19 model is designed for coarse and fine‐scale networks to achieve multi‐scale CNN feature extraction of target image information. Subsequently, while setting the corresponding feature loss function, an additional least‐squares penalty parameter is introduced to balance the optimal total loss function. Finally, leveraging the characteristics of stochastic gradient descent iteration, image features are fused and reconstructed to obtain better style transfer images. Experimental evaluations utilize peak signal‐to‐noise ratio (PSNR), structural similarity index (SSIM), information entropy (IE), and mean squared error (MSE) as metrics for assessing the transferred images, comparing them with three typical image style transfer methods. Results demonstrate that the proposed method achieves optimal performance across all metrics, realizing superior image style transfer effects.
Dossier : « La recherche au défi de la crise des temporalités » : Les temps de l’environnement, d’une construction interdisciplinaire commune à la crise des temporalités
Authors: Sajaloli Bertrand , Dournel Sylvain , Lespez Laurent , Luglia Rémi , Valette Philippe , Beck Corinne , Marinval Marie-Christine 
Published: June 2024

La réflexion sur les temporalités des liens nature-société a occasionné de riches travaux au sein des différentes disciplines des sciences humaines et sociales (SHS) dès les années 1970. En dressant une historiographie des temps de la nature dans les SHS, en insistant sur les controverses et sur les résultats conceptuels (anthroposystème, héritage, crise, résilience…) de cette historiographie, c’est une épistémologie du temps qui apparaît, scandée en trois étapes : la construction interdisciplinaire des temps de l’environnement, la crise opérationnelle des temporalités pour lesquelles le rapport au vivant constitue un creuset d’engagement, enfin l’affirmation de la contribution des sciences géohistoriques à la gouvernance de l’environnement.
Apport de l’intelligence artificielle dans la prévision de croissance mandibulaire : revue systématique de la littérature
Authors: Brouchet Edouard , de Brondeau François , Boileau Marie-José , Makaremi Masrour 
Published: June 2024

L’orthodontiste intervient principalement auprès d’enfants en cours de croissance. L’examen clinique initial ne fournit qu’une image statique qui doit être interprétée en tenant compte de son évolution potentielle. Une prédiction précise de la croissance mandibulaire, permettrait au praticien d’améliorer le diagnostic, la planification du traitement et ainsi la prise en charge du patient.
De nombreux travaux de recherche ont été menés, basés sur des signes structuraux, des analyses céphalométriques et des valeurs d’agrandissement moyen, mais restent imprécis. Les limites rapportées comprennent principalement une variabilité interindividuelle extrême, des schémas de croissance variables selon l’âge, un manque de signes structuraux caractéristiques avant la puberté, l’utilisation de normes statistiques et de résultats dépendant directement de l’expérience du clinicien. À ce jour, il n’existe aucun consensus sur la meilleure méthode pour prédire la croissance mandibulaire, et l’orthodontiste ne peut se fier uniquement à son intuition d’expert.
Ces dernières années, la combinaison de l’intelligence artificielle (IA) et des sciences cognitives dans le domaine médical a révolutionné l’interprétation des radiographies. Les techniques d’apprentissage automatique (ML) et profond (DL) représentent une approche novatrice grâce à leur capacité à analyser d’énormes volumes de données tout en éliminant les biais humains.
L’objectif de cette revue systématique était d’examiner les différents résultats des prévisions de croissance mandibulaire par intelligence artificielle chez des patients en cours de croissance. Ces résultats suggèrent que nous ne sommes encore qu’aux débuts de l’orthodontie tirant parti du diagnostic et de la prise de décision de l’IA, mais ces modèles de prévision de croissance devraient devenir, dans un avenir proche, des systèmes de support clinique fiables pour les orthodontistes.
Contributions beyond direct random-phase approximation in the binding energy of solid ethane, ethylene, and acetylene
Authors: Pham Khanh Ngoc , Modrzejewski Marcin , Klimeš Jiří 
Published: June 2024

The random-phase approximation (RPA) includes a subset of higher than second-order correlation-energy contributions, but stays in the same complexity class as the second-order Møller–Plesset perturbation theory (MP2) in both Gaussian-orbital and plane-wave codes. This makes RPA a promising ab initio electronic structure approach for the binding energies of molecular crystals. Still, some issues stand out in practical applications of RPA. Notably, compact clusters of nonpolar molecules are poorly described, and the interaction energies strongly depend on the reference single-determinant state. Using the many-body expansion of the binding energy of a crystal, we investigate those issues and the effect of beyond-RPA corrections. We find the beneficial effect of quartic-scaling exchange and non-ring coupled-cluster doubles corrections. The nonadditive interactions in compact trimers of molecules are improved by using the self-consistent Hartree–Fock orbitals instead of the usual Kohn–Sham states, but this kind of orbital input also leads to underestimated dimer energies. Overall, a substantial improvement over the RPA with a renormalized singles approach is possible at a modest quartic-scaling cost, which encourages further research into additional RPA corrections.
Photoabsorption cross section measurements of acetylene in the nonionizing region using the double-ion chamber method
Authors: Kim Hyun 
Published: June 2024

The double-ion chamber (DIC) method has been used to measure photoabsorption cross sections in the ionization region of the sample gas. In this study, we introduce a method to extend the wavelength region of the DIC measurements beyond the ionization threshold wavelength by using the photoion currents from the impurities in the sample gas. To verify this method, the photoabsorption cross sections of C2H2 (ionization threshold wavelength λth = 108.8 nm) have been measured from 105 to 137 nm. The natural impurity, acetone (λth = 127.8 nm), contained 1% in high-purity grade acetylene (C2H2) sample gas, allowing for measurements in the non-ionizing region of C2H2 up to 127.7 nm. By adding 1% benzene (λth = 134.6 nm) in the sample gas, measurements were possible even further, to 134.5 nm. This new method enables the measurement of the photoabsorption cross section by photoions that are produced from the impurities in the sample gas in a substantial amount. The current measurement methodology aligns well with the previous measurements of Suto and Lee [Suto and Lee, J. Chem. Phys. 80, 4824 (1984)].
Isotopic effects on the rotational (de-)excitation rate coefficients of ortho-CH3Cl colliding with He
Authors: Ajili Yosra , Ben Abdallah Driss , Hochlaf Majdi 
Published: June 2024

Chloromethane, CH3Cl, is the first organohalogen molecule to be detected in the interstellar medium. Using the recently generated accurate three-dimensional potential energy surface (3D-PES) for the weakly bound CH335Cl–He complex, we deduced that of CH337Cl–He. Both 3D-PESs were incorporated later into dynamical computations code for nuclear motions treatments of each isotopologue colliding with He. We determined the state-to-state (de-)excitation cross sections for transitions among the 105 lowest rotational levels of both ortho-CH335Cl and ortho-CH337Cl (up to jkɛ = 206±). For total energies up to 100 cm−1, we used the quantum close-coupling methodology, and we adopted the coupled state approach for higher energies (up to 2500 cm−1). Rate coefficients for temperatures ranging from 5 to 150 K are then deduced after averaging these cross sections over a Maxwell–Boltzmann velocity distribution. Computations show that isotopic effects are weak, validating the use of collision rates of ortho-CH335Cl for ortho-CH337Cl and vice-versa. However, we expect that our results will be helpful to accurately determine the abundances of these isotopologues in the interstellar medium and, more generally, for understanding the complex and still not fully elucidated chemistry of chlorine containing molecular species there.
Relativistic Douglas–Kroll–Hess calculations of hyperfine interactions within first-principles multireference methods
Authors: Wysocki Aleksander L. , Park Kyungwha 
Published: June 2024

A relativistic magnetic hyperfine interaction Hamiltonian based on the Douglas–Kroll–Hess (DKH) theory up to the second order is implemented within the ab initio multireference methods, including spin–orbit coupling in the Molcas/OpenMolcas package. This implementation is applied to calculate relativistic hyperfine coupling (HFC) parameters for atomic systems and diatomic radicals with valence s or d orbitals by systematically varying active space size in the restricted active space self-consistent field formalism with restricted active space state interaction for spin–orbit coupling. The DKH relativistic treatment of the hyperfine interaction reduces the Fermi contact contribution to the HFC due to the presence of kinetic factors that regularize the singularity of the Dirac delta function in the nonrelativistic Fermi contact operator. This effect is more prominent for heavier nuclei. As the active space size increases, the relativistic correction of the Fermi contact contribution converges well to the experimental data for light and moderately heavy nuclei. The relativistic correction, however, does not significantly affect the spin-dipole contribution to the hyperfine interaction. In addition to the atomic and molecular systems, the implementation is applied to calculate the relativistic HFC parameters for large trivalent and divalent Tb-based single-molecule magnets (SMMs), such as Tb(III)Pc2 and Tb(II)(CpiPr5)2 without ligand truncation using well-converged basis sets. In particular, for the divalent SMM, which has an unpaired valence 6s/5d hybrid orbital, the relativistic treatment of HFC is crucial for a proper description of the Fermi contact contribution. Even with the relativistic hyperfine Hamiltonian, the divalent SMM is shown to exhibit strong tunability of HFC via an external electric field (i.e., strong hyperfine Stark effect).
Bird-assisted treatment in vulnerable people: A literature review
Authors: Béguin Nathalie , Burtey Marion , Lignier Baptiste , Romo Lucia , Mazé Corinne 
Published: June 2024

Abstract

Animal-assisted therapy (AAT) practices have diversified following one of the earliest uses of animals in therapy, as described by Levinson (
1962
). Since the 1960s, evidence of the effectiveness of AAT can be found in the scientific literature across various populations. Different species of animals have been used for AAT, while literature reviews specific to dogs or horses can be found, there is currently no literature review that specifically focuses on bird-assisted treatments.

This study aims to conduct a comprehensive evaluation of the existing literature on bird-assisted treatments in diverse populations. We conducted a comprehensive search for the keywords “animal assisted therapy,” “animal assisted intervention,” “zootherapy,” “thérapie assistée par l’animal,” “intervention assistée par l’animal,” “zoothérapie,” “bird,” and “oiseau” in the PubMed, ScienceDirect, and PsycInfo databases, covering the period from 1975 to October 2023. A total of six articles were eligible for inclusion in our literature review, four on older individuals and two conducted within various psychiatric departments. These studies identified two distinct forms of interventions: individual and shared room cages. Irrespective of the intervention type, the primary findings demonstrated not only positive effects on depression levels and social well-being among older individuals but also favorable outcomes for psychopathological symptoms and social life among individuals with psychiatric disorders. The use of birds can be a strategy to implement AAT in institutional settings where managing larger animals or those requiring more complex care would be challenging. These results lead us to recommend bird-mediated interventions to promote well-being and reduce psychological distress among populations requiring this type of assistance.
The lower-hybrid drift instability during the evolution of Kelvin–Helmholtz instability
Authors: Yuan Huaxuanyu , Yang Yang , Wang Mingyue 
Published: June 2024

Abstract
The lower-hybrid drift instability (LHDI) is a pivotal phenomenon in astrophysics, playing a critical role in energy transfer, macroscopic structures, and evolutionary processes between the magnetosheath and magnetosphere. Using 2D two-fluids numerical simulation, we investigate the spatiotemporal distribution of LHDI during the evolution of Kelvin–Helmholtz instability (KHI) at Earth’s dusk-flank magnetopause. The numerical simulation results show that, during the linear phase of KHI, the LHDI, whose duration time is approximately Δt
1 ∼ 10t

A
, appears around the high-density arms. During the nonlinear phase of KHI, the LHDI appears around the KH vortexes, with a duration of about Δt
2 ∼ 5t

A
. The LHDI disappears with the decay of KH vortex.