bluuebunny/crossref_metadata_2025_split huggingface dataset:
A soft sensor model based on an improved semi-supervised stacked autoencoder for just-in-time updating of cement clinker production process data f-CaO
Authors: Zheng Wei , Liu Hui , Zhou XiaoYu , Xue XiaoJun , Li Heng , Liu JianXun 
Published: January 2024

Abstract
The free calcium oxide (f-CaO) content in cement clinker serves as a critical quality indicator for cement production. However, many soft sensor models employed for predicting f-CaO content utilize a limited amount of labeled data, leading to the underutilization of a substantial volume of unlabeled data and its associated information. To tackle these challenges, this study introduces soft sensor methodology based on improved semi-supervised attention stacked autoencoders (ASS-SAE). We propose an enhanced confidence-generating pseudo-labeling technique to identify high-confidence pseudo-labeled samples from pseudo-labels within a subset of correlated samples, addressing the issue of inadequate labeled data. To fully utilize the information hidden in the unlabeled data, the proposed method incorporating the confidence attention mechanism then assigns weights to the high-confidence pseudo-labeled data and inputs them into the SAE along with labeled data from a subset of similar samples for re-fine-tuning. By conducting an illustrative analysis using authentic cement data proposed for this study, the effectiveness of the approaches employed in this research is substantiated.
A new model for bearing fault diagnosis based on mutual mapping of signals and images and sparse representation
Authors: Yang Jing , Bai Yanping , Tan Xiuhui , Cheng Rong , Hu Hongping , Wang Peng , Zhang Wendong 
Published: January 2024

Abstract
For the issue of significant noise in the collected bearing fault signals, a new bearing fault diagnosis model based on mutual mapping of signals and images (MMSI) and sparse representation (SR) denoising is proposed. Firstly, the fault signal is divided into several segments with the same number of sampling points, and then arrange these segments in ascending order of rows. Secondly, convert the arranged signals into grayscale image and use dictionary learning for block denoising. Then, the de-noised grayscale image is restored to a signal in line order. Finally, k-nearest neighbor (KNN) is used for fault classification. To verify the performance of the proposed model, experiments are tested on 12 single working conditions and 30 multi working conditions on the Case Western Reserve University dataset and the Paderborn dataset. The experimental results indicate that compared with some existing models, the MMSI–SR–KNN model can not only accurately diagnose bearing faults in artificial damage experiments, but also performs better in real damage faults. This indicates that the model has good generalization ability between different datasets and working conditions.
Vanadate-based Fe-MOFs as promising negative electrode for hybrid supercapacitor device
Authors: Wang Yuting , Lu Wenjie , Wang Lianchao , Li Yihao , Wu Hua , Zhu Xudong , Zhang Cheng , Wang Kuaibing 
Published: January 2024

Abstract
In the supercapacitor field, negative electrodes are mainly concentrated in carbon-based materials, such as activated carbon, carbon nanotubes, graphene, and so forth. However, materials based on metal–organic frameworks (MOFs) as negative active components are relatively rare. Herein, a series of composite materials based on graphene oxide (GO) and vanadate-based Fe-organic frameworks have been prepared by hydrothermal method namely GO/Fe-VO4-BIPY. The deposition amount of polyoxometalate-based metal–organic frameworks (POMOFs) on the surface of graphene is adjusted by changing the content of POMOFs. Through the deposition, it can effectively reduce the accumulation between graphene, and increase the dispersion of POMOFs. As a result, the charge storage performance of the as-obtained materials is greatly improved. Among these materials, GO/Fe-VO4-BIPY-1 has the most prominent performance, with a specific capacitance of 190 F g−1 at 0.5 A g−1, which is attributed to the excellent synergistic effect between the Faraday chemical reaction and electric double-layer capacitance. In comparison with pristine Fe-VO4-BIPY, GO/Fe-VO4-BIPY-1 delivers more excellent surface area and therefore exhibits abundant redox reaction sites, achieving better electrochemical performance the best. After assembly with the positive Ni(OH)2 electrode, the maximum energy density of 46.84 W h kg−1 at a power density of 850 W kg−1 is achieved.
BAG-Net: a boundary detection and multiple attention-guided network for liver ultrasound image automatic segmentation in ultrasound guided surgery
Authors: Ji Zihan , Che Hui , Yan Yibo , Wu Jian 
Published: January 2024

Abstract

Objective. Automated segmentation of targets in ultrasound (US) images during US-guided liver surgery holds the potential to assist physicians in fast locating critical areas such as blood vessels and lesions. However, this remains a challenging task primarily due to the image quality issues associated with US, including blurred edges and low contrast. In addition, studies specifically targeting liver segmentation are relatively scarce possibly since studying deep abdominal organs under US is difficult. In this paper, we proposed a network named BAG-Net to address these challenges and achieve accurate segmentation of liver targets with varying morphologies, including lesions and blood vessels. Approach. The BAG-Net was designed with a boundary detection module together with a position module to locate the target, and multiple attention-guided modules combined with the depth supervision strategy to enhance detailed segmentation of the target area. Main Results. Our method was compared to other approaches and demonstrated superior performance on two liver US datasets. Specifically, the method achieved 93.9% precision, 91.2% recall, 92.4% Dice coefficient, and 86.2% IoU to segment the liver tumor. Additionally, we evaluated the capability of our network to segment tumors on the breast US dataset (BUSI), where it also achieved excellent results. Significance. Our proposed method was validated to effectively segment liver targets with diverse morphologies, providing suspicious areas for clinicians to identify lesions or other characteristics. In the clinic, the method is anticipated to improve surgical efficiency during US-guided surgery.
Special features of the Weyl–Heisenberg Bell basis imply unusual entanglement structure of Bell-diagonal states
Authors: Popp Christopher , Hiesmayr Beatrix C 
Published: January 2024

Abstract
Bell states are of crucial importance for entanglement based methods in quantum information science. Typically, a standard construction of a complete orthonormal Bell-basis by Weyl–Heisenberg operators is considered. We show that the group structure of these operators has strong implication on error correction schemes and on the entanglement structure within Bell-diagonal states. In particular, it implies an equivalence between a Pauli channel and a twirl channel. Interestingly, other complete orthonormal Bell-bases do break the equivalence and lead to a completely different entanglement structure, for instance in the share of positive partial transposition (PPT)-entangled states. In detail, we find that the standard Bell basis has the highest observed share on PPT-states and PPT-entangled states compared to other Bell bases. In summary, our findings show that the standard Bell basis construction exploits a very special structure with strong implications to quantum information theoretic protocols if a deviation is considered.
Tunable and super-wide angle defocusing lens large phase modulator
Authors: Xu Qining , Zhu Jun , Qin Liuli 
Published: January 2024

Abstract
Traditional terahertz wavefront modulators exhibit significant limitations in controlling optical wavefronts. In order to address the adjustability issues of terahertz wavefront modulators, we have developed a novel optical device based on the tunability of Fermi energy levels. Structurally, we find the ability to modulate the Fermi energy levels of graphene by modulating the carrier concentration. We can also change the phase of the light, causing the transmission path of the light as it passes through the graphene array to change, affecting the position of the backfocusing focal point, thus realizing a dynamically adjustable backfocusing effect. Theoretically, employing Dirac notation and Matrix analyze, reveals the corresponding relationship between Fermi level and phase shift. Specifically, one group Fermi levels induces a set of modulated phase changes. Experimental results demonstrate that the proposed modulator offers a large phase modulation range, enabling

2
π

phase adjustments. Moreover, it accurately focuses on a predefined focal point located at 400 um, with a numerical aperture of 0.882, a resolution of 30.39, and a full-width at half-maximum of 38. The substantial numerical aperture and small full-width at half-maximum imply that the lens can focus more light while maintaining high resolution, enhanced optical efficiency, and concentrated light focusing. At the same time, by adjusting the position of the Fermi energy level, we have succeeded in realizing a wide-angle focusing effect up to 90°. This capability extends the terahertz wave’s focusing within a wide range, expanding the application scope of traditional focusing devices.
The growth mechanism of Co atoms on Cu substrates
Authors: Zhuangfei Xi , Xiongying Dai , Wangyu Hu 
Published: January 2024

Abstract
The growth mechanism of Co atoms on Cu atomic substrates was studied by molecular dynamics simulation with large scale atomic/polar massively parallel simulator (LAMMPS). The embedded atom method (EAM) potential was used to investigate the growth processes of Co atoms on different Cu atom configurations. The growth process of Co on Cu substrate was carefully observed. It was found that Co atoms preferentially grow on the (100) facet on the Wulff configuration. To find out under what conditions the core-shell structure is better formed, the number of Cu atoms adsorbed on the surface and the number of Co atoms entering the interior were calculated as a function of the number of deposited atoms. The Wulff configuration was found to be more favorable for the growth of Co atoms on the Cu substrates. And the effect of the size of the Cu substrate on the growth of the Co atoms was also investigated. The results show that the larger the size of the Cu substrate, the more unfavorable the core-shell structure formation. In addition, the effect of temperature on growth was also analyzed. It was found that the higher the temperature, the more unfavorable the growth.
The state of art on lubrication methods in space environment
Authors: Nautiyal Hemant , Singh Sudesh , Gautam Rohit Kumar Singh , Goswami Ramesh N , Khatri Om P , Verma Pooja , Tyagi Rajnesh 
Published: January 2024

Abstract
Space tribology is a very big aspect of space exploration, despite of this fact, there is a dearth of coherent and concise literature available in the field of space tribology. It becomes difficult to understand the tribological behaviour of mating bodies under the extreme environmental circumstances in space due to their potential chemical and physical interactions. The radiation, vacuum, environmental conditions and temperature, are the factors which affects the friction and wear behaviour of mating surfaces and may alter the chemical structure of solid or liquid lubricant. The combination of tribo-physical and tribo-chemical interactions makes the tribological analysis very difficult to understand. The lack of understanding and ignorance might be the reason for not addressing this issue in the past. This review contains the qualitative and quantitative information on the tribological behaviour of different types of liquid lubricants, greases, soft and hard coatings, combined lubrication systems, testing equipment, composites, solid lubricants and alloys developed for space applications.
A novel image encryption scheme based on ccnn
Authors: Zhang Xiangzi , Sun Lina , Geng Xicong , Yue Huaixiao , Zhao Xuan , Lei Junqiang , Liu Jizhao 
Published: January 2024

Abstract
With the advancement of computational capacity, the key space will become one of the crucial factors influencing the security of digital cryptographic systems. Despite chaotic-based digital cryptographic systems possessing large key spaces, the post-Moore’s era rapid growth in computational capacity continues to pose challenges to the security of chaotic-based cryptographic systems. To address this issue, a novel image encryption scheme based on non-autonomous chaotic system is presented in this paper. In particular, a brain inspired neuron called continuous-coupled neural network (CCNN) is utilized to design image encryption scheme. To achieve the efficient image encryption scheme, firstly, the CCNN model is simplified to uncoupled-linking neuron model. The dynamic behavior under various driving signals is studied. The analysis showed that uncoupled-linking CCNN neuron exhibit various dynamic behavior under sine waves, triangular waves, sawtooth, superimposed sine waves, etc. Secondly, the decorrelation operation method is utilized to enhance the pseudo-randomness of the sequence. On this basis, thirdly, the image encryption scheme is proposed. It uses bit-level pixel scrambling, row scrambling, column scrambling and diffusion to modify the pixel value and the pixel position of the image. Security analysis shows that the proposed scheme is able to resist differential attack, statistics attack, known-plaintext attack and brute force attack. Moreover, the key space of the proposed scheme can be extended by the combination of drive signals. This unique feature makes the key space of the proposed scheme to be infinite, leading this kind of chaos-based cryptographic system to be a competitive candidate in post-Moore’s era.
Quantum teleportation of a two-qubit arbitrary entangled state with four-qubit cluster state
Authors: Yuan Hao , Kong Min , Pan Guo-Zhu , Zhang Gang 
Published: January 2024

Abstract
Based on the four-qubit cluster state as quantum channel, we put forward a novel scheme for teleporting a two-qubit arbitrary entangled state. The necessary quantum operations for accomplishing the task are two controlled-not gate operations, one controlled-phase gate operation, four single-qubit measurements and two single-qubit transformed operations. They are easily achievable with current experimental techniques. Besides, the present scheme is deterministic because its probability of success is

100
%

.
Tunable Yb:GdCOB self-frequency-doubling cyan laser
Authors: Du Zhenhua , Hu Zonghua , Li Yuzhao , Anh Nguyen Tuan , Fu Xinhua , Li Baozeng , Bai Junwen 
Published: January 2024

Abstract
We report a solid-state laser-pumped Yb:GdO(BO3)3 (Yb:GdCOB) tunable self-frequency-doubling continuous wave (CW) cyan laser. By adjusting the pump power, a CW cyan laser emission was obtained with wavelengths shifting from 502 nm to 506 nm. The highest output power of 835 mW was achieved at an emission wavelength with an optical conversion efficiency of 5.8%. To the best of our knowledge, there have been no studies of the self-frequency-doubled Yb:GdCOB lasers at the cyan wavelength. This work provides a novel method to generate tunable solid-state lasers with a compact and simple structure.
Effect of burst mode modulation ultrashort pulse laser on the laser processing transparent dielectrics
Authors: Murzakov M A , Evtikhiev N N , Grezev N V , Kataev D M , Shchekin A S 
Published: January 2024

Abstract
The effect of ultrashort pulse modulation on the formation of a modified zone of a transparent dielectric was investigated. The use of a femtosecond fiber laser in burst mode made it possible to control the energy that enters the processed material and thereby influence the geometry of the modification zone. In the course of the study, various types of pulses were tested—linear, sinusoidal, exponential, etc. It was noted that pulse modulation significantly affects the shape of the modified zone. Energy thresholds have been determined that lead to internal defects in the form of cracks.
Simulating gamma-ray production from cosmic rays interacting with the solar atmosphere in the presence of coronal magnetic fields*
Authors: Li 李 Zhe 哲 , Ng Kenny C. Y. , Chen 陈 Songzhan 松战 , Nan 南 Yuncheng 云程 , He 何 Huihai 会海 
Published: January 2024

Abstract
Cosmic rays can interact with the solar atmosphere and produce a slew of secondary messengers, making the Sun a bright gamma-ray source in the sky. Detailed observations with Fermi-LAT have shown that these interactions must be strongly affected by solar magnetic fields in order to produce a wide range of observational features, such as a high flux and hard spectrum. However, the detailed mechanisms behind these features are still a mystery. In this study, we tackle this problem by performing particle-interaction simulations in the solar atmosphere in the presence of coronal magnetic fields using the potential field source surface (PFSS) model. We find that low-energy (~ GeV) gamma-ray production is significantly enhanced by the coronal magnetic fields, but the enhancement decreases rapidly with energy. The enhancement directly correlates with the production of gamma rays with large deviation angles relative to the input cosmic-ray direction. We conclude that coronal magnetic fields are essential for correctly modeling solar disk gamma rays below 10 GeV, but above that, the effect of coronal magnetic fields diminishes. Other magnetic field structures are needed to explain the high-energy disk emission.
Nonlinear corrections for the nuclear gluon distribution in eA processes
Authors: Boroun G.R. , Rezaei B. , Abdi F. 
Published: January 2024

Abstract
An analytical study with respect to the nonlinear corrections for the nuclear gluon distribution function in the next-to-leading order approximation at small x is presented. We consider the nonlinear corrections to the nuclear gluon distribution functions at low values of x and

using the parametrization

and the nuclear modification factors obtained from the Khanpour-Soleymaninia-Atashbar-Spiesberger-Guzey model. The CT18 gluon distribution is used for the baseline proton gluon density at

. We discuss the behavior of the gluon densities in the next-to-leading order and the next-to-next-to-leading order approximations at the initial scale

, as well as the modifications due to the nonlinear corrections. We find that the QCD nonlinear corrections are more significant for the next-to-leading order accuracy than the next-to-next-to-leading order for light and heavy nuclei. The results of the nonlinear GLR-MQ evolution equation are similar to those obtained with the Rausch-Guzey-Klasen gluon upward and downward evolutions within the uncertainties. The magnitude of the gluon distribution with the nonlinear corrections increases with a decrease in x and an increase in atomic number A.
Development of Predict-Observe-Write (POW) learning model to improve student’s understanding of concepts on the topic of fluids
Authors: Saputra O , Satriawan M , Hermanto I M , Habibbulah M , Rosmiati  , Lusiyanti D 
Published: January 2024

Abstract
This study aimed to determine the effectiveness of the POW model in improving students’ conceptual understanding of the topic of fluids. The research sample consisted of 25 students from Universitas Negeri Surabaya. The results of the data analysis showed that the average score on the initial test was 11.24, and the average score on the final test was 25.00. Analysis using N-Gain obtained a value of 83.74 or on the high criteria. Many students need to understand that hydrostatic pressure only depends on the depth of the fluid. Hydrostatic pressure depends on the specific gravity of the fluid and the depth of the fluid. Data analysis used the t-test using the SPSS application at a significance level of 0.05 with the prerequisite tests for normality and homogeneity. Sig obtained the results of the problem-solving statistical test. = 0.000 and understanding of the Sig. = 0.000 with the criteria to accept Ho if Sig. > 0.05 and reject H0 if Sig. < 0.05. Sig. Value < 0.05 so that H1 is accepted and Ho is rejected with the conclusion that there is a significant increase in students’ understanding of concepts after applying the POW (Predict-Observe-Write) model assisted by virtual simulation. This is due to the virtual simulation-assisted POW model, which requires active students and facilitates students in learning and developing concepts.
Portable fluorescence spectroscopy for single-origin coffee authentication with 365 nm wavelength as excitation source
Authors: Yulia M , Analianasari  , Widodo S , Suhandy D 
Published: January 2024

Abstract
Specialty coffee with geographical indications (GI) labels has been regarded as one of the most expensive commercial coffee in Indonesia. In this research, we utilize a new approach to classify specialty coffee from Indonesia with different geographical origins using portable fluorescence spectroscopy. For samples, 80 coffee samples with 1 gram of each sample were provided: 40 samples of Gayo arabica coffee (origin: Gayo, Aceh), and 40 samples of Java Mocha robusta coffee (origin: Java). All coffee samples were subjected to the following sample preparation: roasting (at 200°C for 15 min), grinding, and sieving using mesh size 40 to obtain samples with a homogenous size of 420 micrometers. The extraction of coffee samples was done by using hot distilled water. After extraction and dilution, coffee samples were injected into the 10 mm standard cell. The fluorescence spectral acquisition was performed by using a GoyaLab fluorescence spectrometer. This spectrometer has four LED lamps with 365 nm peaks used as excitation sources. The principal component analysis (PCA) of preprocessed spectral data results showed that most coffee samples could be differentiated into two different clusters. The proposed method is easy, and affordable to be adopted by many coffee industries in Indonesia.
Work motion study on coconut tree climbing using a portable coconut climbing equipment
Authors: Dhafir M , Idkham M , Lubis A , Azrial P 
Published: January 2024

Abstract
Coconut tree climbing activities in general in the Aceh region are still carried out traditionally, namely climbing directly by coconut farmers which still rely on human labor which is classified as difficult and has a high risk in terms of work safety and musculoskeletal disorders (MSD). The aims of this study were (1) analysis of posture and work movements in climbing coconut trees with a portable coconut climber, (2) a comparison of the level of comfort with a portable coconut climber and a traditional coconut climber. Tests are carried out subjectively and objectively, subjective tests are carried out based on perceived operator subjectivity complaints with the Nordic Body Map (NBM) while objective testing is based on the Range approach. of Motion (ROM) and using the Rapid Entire Body Assessment (REBA). The results of the range of motion analysis (ROM) show that traditional climbing has a higher risk of motion for the operator compared to climbing using a portable coconut climbing equipment. REBA work posture analysis shows that traditional climbing has an average score of 10-11 (very high risk), while using the REBA tool the average score is 4-5 (moderate risk). In the analysis of the Nordic Body Map (NBM), traditional climbing received 42 complaints while climbing equipment experienced 18 complaints of discomfort. Some ergonomic interventions are needed to increase safety and comfort in climbing coconut trees.