bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction and synthesis of NiCo2O4 nanozyme for enhanced antibacterial performance
Authors: Zhang Luchen , Wang Shuanglong , Fang Ainong , Hu Pengcheng , Zhao Yanhui , Sun Xiaona , Lan Xiaopeng , Liu Yuan , Liu Chunzhao , Liu Chunlei 
Published: December 2024

Abstract
Developing effective and low-cost enzyme-like nanomaterials to kill bacteria is vital for human health. Herein, nanorod-assembled NiCo2O4 microspheres were prepared though a facile hydrothermal method, andshowed highly enhanced peroxidase-like activity compared to pure Co3O4 due to its large surface area and abundant active sites. The NiCo2O4 possess the ability to catalyze H2O2 to generate large amounts of •O2−, which can be used for bacteriostatic applications. In particular, the antibacterial system combining the spiky NiCo2O4 particles and a low concentration of H2O2 (100 μM) exhibits an excellent bacteriostatic efficiency against both Escherichia coli (94.44%) and Staphylococcus aureus (93.45%).
MRgRT real-time target localization using foundation models for contour point tracking and promptable mask refinement
Authors: Blöcker Tom , Lombardo Elia , Marschner Sebastian N , Belka Claus , Corradini Stefanie , Palacios Miguel A , Riboldi Marco , Kurz Christopher , Landry Guillaume 
Published: December 2024

Abstract

Objective. This study aimed to evaluate two real-time target tracking approaches for magnetic resonance imaging (MRI) guided radiotherapy (MRgRT) based on foundation artificial intelligence models. Approach. The first approach used a point-tracking model that propagates points from a reference contour. The second approach used a video-object-segmentation model, based on segment anything model 2 (SAM2). Both approaches were evaluated and compared against each other, inter-observer variability, and a transformer-based image registration model, TransMorph, with and without patient-specific (PS) fine-tuning. The evaluation was carried out on 2D cine MRI datasets from two institutions, containing scans from 33 patients with 8060 labeled frames, with annotations from 2 to 5 observers per frame, totaling 29179 ground truth segmentations. The segmentations produced were assessed using the Dice similarity coefficient (DSC), 50% and 95% Hausdorff distances (HD50 / HD95), and the Euclidean center distance (ECD). Main results. The results showed that the contour tracking (median DSC

0.92
±
0.04

and ECD

1.9
±
1.0

mm) and SAM2-based (median DSC

0.93
±
0.03

and ECD

1.6
±
1.1

mm) approaches produced target segmentations comparable or superior to TransMorph w/o PS fine-tuning (median DSC

0.91
±
0.07

and ECD

2.6
±
1.4

mm) and slightly inferior to TransMorph w/ PS fine-tuning (median DSC

0.94
±
0.03

and ECD

1.4
±
0.8

mm). Between the two novel approaches, the one based on SAM2 performed marginally better at a higher computational cost (inference times 92 ms for contour tracking and 109 ms for SAM2). Both approaches and TransMorph w/ PS fine-tuning exceeded inter-observer variability (median DSC

0.90
±
0.06

and ECD

1.7
±
0.7

mm). Significance. This study demonstrates the potential of foundation models to achieve high-quality real-time target tracking in MRgRT, offering performance that matches state-of-the-art methods without requiring PS fine-tuning.
A tunable conical helical spring acoustic metamaterial for complex and harsh environments
Authors: Zhang Yongyan , Li Biao , Wu Xiaofeng , Shen Tujun , Wu Jiuhui , Miao Xiangjie , Zhao Zebo , Chen Liming , Liu Hui 
Published: December 2024

Abstract
Traditional local resonance (LR) structures can control low-frequency elastic waves, but they still face significant challenges in complex and harsh engineering applications. Due to the complexity of boundary conditions and vibration modes in harsh environments, a high degree of flexibility in vibration isolation structures is required. Fortunately, helical acoustic metamaterials offer such advantages. This paper proposes a tunable conical helical spring (TCHS: a combination of multiple unequal pitches and radii) acoustic metamaterial, which can effectively control elastic waves and vibrations in complex and harsh environments. The mechanisms underlying the generation of bending vibration band gaps were analyzed using the finite element method (FEM). This analysis included examining the transmission spectra, eigenmodes, and displacement vector fields of the LR structure. By adjusting geometric parameters such as the pitch and radius of the conical helical spring, low-frequency band gaps between 34–43 Hz and 45–122 Hz were successfully achieved. Most importantly, the vibration characteristics of the phononic crystal plate were studied under various boundary conditions (bilateral fixed, unilateral fixed, and free constraints) as well as loading conditions (point load and edge load). The results demonstrate that the decay positions observed in the transmission spectra under different conditions were highly consistent with the energy band positions. Therefore, the structure offers potential applications in the field of vibration and noise control in complex and harsh environments.
Enhancing and modifying the optical, magnetic, and electrical features of PVA&PVP; composite filled with ZnFe2O4 nanoparticles for magneto-optical applications
Authors: Al-Balawi Sara A , Farea Mohammed 
Published: December 2024

Abstract
This research employed a sol–gel method to synthesize zinc ferrite nanoparticles (ZnFe2O4 NPs). These nanoparticles were then dispersed within a blend of polyvinyl alcohol (PVA) and polyvinyl pyrrolidone (PVP) (with a weight ratio of 50:50) to fabricate polymer nanocomposite samples (PNCSs) via a solution casting technique. The XRD patterns suggest significant structural alterations in the nanocomposite compared to the pure polymer blend, which is evident in changes in crystallinity and cluster size (D). At the same time, the atomic arrangement within the material remains unaffected (d spacing). The FTIR absorption spectra were analyzed to assess the miscibility of PVA and PVP, as well as their interactions with the ZnFe2O4 NPs. The presence of characteristic peaks for both polymers without significant shifting suggested good miscibility. The optical bandgap of the nanocomposite samples decreases from 4.79 to 3.16 eV, and the absorption edge gradually shifts toward longer wavelengths with the addition of ZnFe2O4 NPs. Thermal analysis using TGA was also conducted to investigate how the samples decompose with increasing temperature. Coats-Redfern and Broido models were also used to study the activation energy. The magnetic properties of the PVA/PVP-ZnFe2O4 nanocomposites were assessed using the VSM technique at room temperature, revealing ferromagnetic behavior with a significant increase in saturation magnetization (Ms), remanent magnetization (Mr), and loop area (La) as the ZnFe2O4 content increased. Across the frequency range of 0.1 Hz to 10 MHz, the PVA/PVP-ZnFe2O4 NP samples exhibited significantly improved electrical conductivity and dielectric properties. In addition, the dielectric properties and electric modulus of these PNCSs were studied, where the ZnFe2O4 NPs successfully improved the host matrix’s capacity for storing energy. As a result, these interesting physicochemical characteristics show how well these PNCSs are suited for use in flexible-type micro- and optoelectronic methods, such as nanodielectric substrates, light diffusers, bandgap regulators, photosensors, and UV shielders.
Experimental study and investigation of energy absorption and crashworthiness in thin-walled square tubes with elliptical surface defects
Authors: Ghiaskar Ahmad , Taghipoor Hossein 
Published: December 2024

Abstract
Today, the impact phenomenon is of particular importance. The Axial drop impact test can be used in various industries such as aviation, shipbuilding, automobile, railway, and elevators. In this research, the behavior of thin-walled energy absorbers with a square cross-section and the creation of elliptical defects on the side surfaces have been subjected to the impact test of a weight falling at a low speed. The influence of small and large oval diameters on collapse behavior and energy absorption has been investigated. It is worth mentioning that all samples are made of 1100 series aluminum. The results showed that as the large side of the rhombus increases, the initial maximum force decreases. On the other hand, energy absorption increases, which is desirable as an energy absorber, and up to 18% improvement in the absorber’s performance is created. Also, from the results of the experimental tests, it was found that with the increase of the small side of the oval from 3 to 5 mm, the initial maximum force decreases by 7%.
Utilization of a smart TiCo alloy for pressure-induced hydrogen storage
Authors: Mubarak A A , Tariq Saad 
Published: December 2024

Abstract
One of the most important challenges facing countries is providing cheap energy and renewable sources. Therefore, a smart alloy will be proposed for hydrogen storage due to its ability to expand and contract without breaking and being little affected by heat. In this investigation, the first performance principle is applied to examine the effect and utility of hydrogen absorption in smart TiCo alloy. The hydrogen atoms absorbed at the bridge (TiCoH3-B), face-centered cubic (TiCoH3) and tetrahedral interstitial (TiCoH8) sites in TiCo alloy were studied. The elastic constants, enthalpy of formation energy, and tolerance factors show that TiCoH3 and TiCoH8 are stable alloys and can be formed, while TiCoH3-B is not elastically stable. Cohesive energy shows that increasing induced pressure and hydrogen absorption reduces the stiffness of TiCoH3 and TiCoH8, without alloy collapse. The gravimetric storage capacity of CoTiH3 and TiCoH8 is found to be large enough to be suitable as alloys for hydrogen storage. Pugh’s B/G ratio, and anisotropy factor assume that TiCo with or without hydrogen atoms is classified as a ductile and anisotropic alloy, with except for TiCoH8 has brittle behavior up to 40 GPa. The bonding nature of TiCoH3 alloy has a mixture of covalent (Co–H) and ionic bond (CoH6–Ti). In contrast, TiCoH8 exhibits a covalent bond in the form of Ti–H–Co. Hydrogen absorption and induced pressure encourage electrons to rearrange into the spin up and down channels resulting in a decrease in the overall magnetic moment of the alloy. The mechanical, electronic, and magnetic properties show promise for industrial applications of these alloys, such as piezoelectric and hydrogen storage, and spin and magnetoelectronic manufacturing.
A LE-controlled 4D non-degenerate hyperchaotic system and STP-CS model based efficient image encryption algorithm
Authors: Long Guoqiang , Verma Vivek , Jiang Donghua , Yang Yuguang , Ahmad Musheer 
Published: December 2024

Abstract
Restricted by the environment and hardware equipment resources, existing chaotic systems have shortcomings such as low complexity, low randomness, and chaotic degradation phenomena, which in turn cause the security risks of chaotic image encryption algorithms. To overcome these issues, this paper proposes a method for the construction of a LE-controlled four-dimensional (4D) non-degenerate discrete chaotic system. Numerical analysis has demonstrated that the developed system possess high complexity and unpredictability. Based on the developed chaotic system, an image compression encryption algorithm is proposed. Wherein, semi-tensor product compressed sensing is applied to allow data compression sampling in different dimensions resulting in reducing the data transfer load and storage cost. Subsequently, the positions and values of the image pixels are secretly altered during the algorithmic encryption process using two-dimensional cat confusion and finite field diffusion. The simulation results show that the proposed encryption algorithm effective enough to offer great encryption quality. The performance comparison analysis indicates that the proposed encryption algorithm has good furnishes better security, compression, as well as resistance to diverse data attacks.
Electrical properties of separated zigzag graphene nanoribbon devices with methyl chain adsorption
Authors: Deng Yayu , Shao Qingyi , Zhu Kaigui 
Published: December 2024

Abstract
Zigzag graphene nanoribbon demonstrates significant capabilities in electronic transport, and the separation of graphene nanoribbons through the adsorption of atoms or groups holds considerable research value. In this work, we employed density functional theory combined with the non-equilibrium Green’s function method to investigate the structure and electronic properties of graphene nanoribbons with methyl adsorption and hydrogen chain adsorption. Firstly, based on the figures of local device density of states and transmission pathways , the region where methyl is adsorbed forms a bonding state between the methyl group and carbon atoms. This bonding state restricts the migration of π-electrons within the nanoribbon, achieving a more stable separation effect. Additionally, analyses of I-V curves, band structure diagrams, and transmission pathways reveal that the edge effects of zigzag graphene nanoribbon exhibit different behaviors in two molecular separation devices. The methyl chain separator demonstrated the most favorable performance, with little difference in electron transfer between the edge and the interior. Finally, methyl adsorption is obviously superior to hydrogen chain adsorption in terms of separation and reduction of scattering effect.
Six band metamaterial absorber designed on twisted square and swastika-shaped resonator for S, C, X, and Ku band frequency and sensing applications
Authors: Ranjan Shashi Kumar , Sahoo Swagatadeb 
Published: December 2024

Abstract
A twisted square split ring and swastika resonator (TSSRSR) based six-band polarization-insensitive metamaterial absorber (MMA) with high effective medium ratio (EMR), and excellent absorption is proposed in this study. It can be utilized as an S, C, X, and Ku band frequency absorber and as a sensor at 6.38 GHz (C-band). A swastika geometry-based unique patch has been introduced in the proposed unit cell to achieve high polarization insensitive properties with excellent absorption of 90%, 96.5%, 91.7%, 90.7%, 95.6%, and 91.7% respectively under S, C, X, and Ku band frequency spectrum. The distinctive features of this proposed TSSRSR unit cell are its simple, unique structure with a high EMR value of 8.06, and polarization-insensitive up to 90∘ at 3.72, 6.38, 10.76, 15.28, 18.84, and 21.08 GHz respectively. The designed MMA unit cell is fabricated on a loss FR-4 dielectric substrate with an electrical dimension of 0.124λ
0 × 0.124λ
0 × 0.157λ
0. The angular insensitive properties of the unit cell were also investigated for a maximum angle of 90∘ for TE and TM mode. Moreover, the unit cell and array structure performance exhibits a maximum absorption of > 90%, suitable for sensing and antenna systems. The simulated outcome is verified by experiment with excellent accordance. The suggested MMA is very attractive for refractive index sensing applications due to several features, including its low profile, excellent angular stability, polarization insensitivity, sensitivity, quality factor (Q), figure of merit (FOM), and EMR value.
Elastic constant analysis of orthotropic steel sheets using multitask machine learning and the impulse excitation technique
Authors: Li Ze , Alkhayyat Ahmad , Yadav Anupam , Samavatian Majid , Samavatian Vahid 
Published: December 2024

Abstract
This work presents a novel multitask learning approach featuring a dual convolutional neural network (CNN) system for determining the elastic constants of orthotropic rolled steel sheets. In the proposed model, resonance frequency spectra from the impulse excitation technique are converted into 2D image data. The first CNN focuses on detecting and predicting missing peak intensities, while the second CNN utilizes features from the entire spectrum image to predict elastic constants, including E11, E22, and G12. The input features include raw pixel data alongside three key categories for enhanced analysis: image-based features (such as the mean, median, mode, and skewness of pixel intensity distributions), spatial relations (including spatial frequency, pixel intensity correlations, and local contrast), and geometric features (such as shape descriptors and pixel connectivity). The results reveal that the optimal number of peaks (14), image resolution (121 pixels), and sample size (20 × 20 × 0.3 cm) maximize the model’s efficiency. Under these conditions, the model achieves R2 values of 0.952, 0.902, and 0.913, and RMSE values of 1.89 GPa, 3.09 GPa, and 1.92 GPa for E11, E22, and G12, respectively. It is suggested that the superior prediction accuracy for E11 is attributed to the stability of the Young’s modulus along the rolling direction, which is less variable in orthotropic materials. Furthermore, the study finds a dependency between input weight functions—including image-based features, spatial relations, and geometric features—as the material’s anisotropy changes, underscoring the importance of accounting for process variability in predictive modeling.
Exact and soliton solutions of nonlinear evolution equations in mathematical physics using the generalized (G′/ G)-expansion approach
Authors: Kazi Sazzad Hossain A K M , Islam M Kamrul , Akter Halida , Akbar M Ali 
Published: December 2024

Abstract
The nonlinear evolution equations play a significant role in applied mathematics, including ordinary and partial differential equations, which are frequently used in many disciplines of applied sciences. The Klein–Gordon equation, a second-order equation in both space and time, is closely related to the Schrödinger equation and describes the behavior of spinless particles in theoretical physics. The equation is utilized extensively in many areas related to modern physics, including astrophysics, cosmology, and the theory of classic mechanics. The uKdV equation is suitable for use in various fields, including fluid dynamics, oceanography, and optical solitons research. It is useful for simulating events with wave-like characteristics and soliton dynamics, which contributes to the theoretical development of mathematical physics. This article addresses the exact and soliton solutions of nonlinear evolution equations in mathematical physics and engineering using the new generalized

(
G
′
/
G
)

-expansion approach. We examine a large number of soliton solutions, including kink-shaped, singular-kink, single soliton, singular-soliton, periodic, and others. To better understand the characteristics of the solutions, some three-dimensional plots are set up for visualization. It has been demonstrated that the suggested approaches are more attractive as well as effective for getting single solutions to nonlinear evolution equations.
Advancing Offshore Wind Farm Site Assessments in Guangxi using Single-Channel Seismic Method
Authors: Wei Min P , Yi Gen W , Song Chuan X , Hu B , Zhang Y , Li Zheng S , Xiao Li J 
Published: December 2024

Abstract
This study explores the application of the single-channel seismic (SCS) method for offshore wind farm site assessments in China’s Beibu Gulf region, addressing the limitations of traditional drilling through an innovative data processing workflow. Given the increasing global demand for renewable energy and China’s leadership in offshore wind capacity, there’s a significant push towards exploiting the Beibu Gulf’s wind resources. However, the area’s complex geological challenges, such as thick sand layers and significant stratification differences, necessitate advanced exploration techniques. This research introduces a tailored data processing workflow comprising signal-to-noise ratio enhancement, swell correction, multiple wave suppression, amplitude compensation, and layer identification. This approach aims to reduce exploration costs, minimize environmental impacts, and support the strategic expansion of offshore wind energy in geologically challenging environments. The findings indicate a promising avenue for enhancing the accuracy and efficiency of offshore wind farm site assessments, contributing to the sustainable development of renewable energy resources.
An application of gravity anomaly edge identification method to division of tectonic units in the overburden of Inggen-Ejin basin
Authors: Guo Changan , Chen Xiaoqiang , Wang Kunpeng , Chen Chutong , Wang Bin , Hongying AN 
Published: December 2024

Abstract
To enhance the support for the construction of ecological civilization and high-quality economic and social development, it is imperative to extend geological studies from bedrock areas to covered areas, particularly focusing on basin-mountain combination zones. The Inggen-Ejin basin, a representative covered area, is crucial for investigating water prospects in concealed regions, understanding basin base properties, and analyzing basin-mountain tectonic relationships. A comparative analysis of various boundary recognition techniques was conducted using 1:250,000 regional gravity data. This approach facilitated the comparison of different methods’ characteristics and identified an appropriate recognition technique for the area. The processing results were validated against existing geological data, enabling the identification and extraction of fault structures within the study area. Ultimately, this research determined the location and strike of deep and large faults, and delineated Mesozoic tectonic units.
Analysis of difficulties in reflection seismic data processing in the shallow-surface igneous rich areas and suggestions
Authors: Wang Xingyu , Wang Tong , Liu Yanli , Guo Yingyu 
Published: December 2024

Abstract
The seismic geological conditions in shallow-surface igneous rich areas are poor, resulting in complex original data wave fields and low signal-to-noise ratios, making seismic processing challenging. Although the research at home and abroad has made some progress over the years, the seismic imaging in this area is still poor, which affects the effect of seismic exploration. This paper analyzes the main factors influencing processing imaging, further examines the signal-to-noise ratio and static correction, and proposes targeted processing strategies and suggestions for data acquisition.
The study on vibrator seismic data acquisition and processing for sandstone type uranium prospecting in Erlian Basin
Authors: Pan Ziqiang , Qiao Baoping , Huang Weichuan 
Published: December 2024

Abstract
Seismic exploration technique has been widely used in sandstone-type uranium exploration in recent years. Aiming to the demands of sandstone type uranium prospecting in Erlian Basin, seismic geometry parameters are designed, and excitation parameters of high-precision vibrator are proved by field test. High quality raw seismic data are obtained. According to characteristics of vibrator seismic data, crucial data processing method and techniques are researched. The main processing techniques include tomographic static correction, pre-stack combination de-noising in different domain, surface consistent prediction deconvolution, surface consistent amplitude compensation, velocity analysis and residual static correction. The reasonable stack velocity model is established, and the stack section which has high signal-to-noise ratio is obtained. the stack velocity model is built as initial migration velocity model. After multiple iteration of migration velocity analysis and pre-stack Kirchhoff time migration, the underground target geological structure is reasonable imaged, and the true subsurface stratum distributing feature is obtained. Finally, the reasonable vibrator seismic data acquisition and processing techniques are built. The ultimate seismic section which has high resolution, clear wave group, reasonable stratum distribution feature is obtained, besides, the section provides reliable basis for subsequent seismic inversion, interpretation and favorable ore-forming sandstone prediction.