bluuebunny/crossref_metadata_2025_split huggingface dataset:
Correlation filter tracking of channel response constraints
Authors: Yuan Heng , Jiang Chenlu , Qi Huan 
Published: May 2023

Abstract
To solve the problem of moving object loss and inaccurate localization caused by the rapid change of object appearance, partial occlusion, and scale change in the tracking process, the channel response constraints correlation filter was proposed, i.e., CRCCF. Firstly, the channel self-optimizing regularization is introduced on the background-aware correlation filter (BACF), reducing the interference of redundant channel information to adapt to the complex environment. Then, the different response error regularization was introduced, the work used differences of adjacent frames response figures to learn the object appearance changes, which can smooth the volatility of the response figure to alleviate the drift problem model. And the Alternating Direction Method of Multipliers (ADMM) is used to optimize the model. Finally, a large number of experiments were carried out on OTB50, and OTB100 datasets to verify that the proposed algorithm has better performance under the conditions of fast motion, background clutter, and motion blur.
Vacuum booster control system design and fault self-check strategies
Authors: Liu Rui , Yuan Hong , Lin Li , Liu Chang , Huang Kaisheng 
Published: May 2023

Abstract
In this paper, the software and hardware design of the vehicle vacuum pump control system was carried out based on single-chip microcomputer technology. Combined with the vacuum pump structure and control principle, the hardware design of the power supply, barometric pressure sensor, vacuum pressure sensor, current detection, and motor drive is carried out with the HS08 series single-chip microcomputer as the core. The software strategy design for barometric pressure signal acquisition, vacuum pressure signal acquisition, and vacuum pump driving has been completed, and the dual pressure vacuum pump control system for electric vehicles has been developed. The system can diagnose the common faults of the vacuum power system. Finally, the functional test of the control system is carried out. The results show that the system can work normally and that the design meets the expected requirements.
Thermal Insulation Structure Design and Simulation Analysis of Optical Measuring Device under Extremely Low-Temperature Based on Phase Change Temperature Control
Authors: Guo Hailong , Zhang Zhi 
Published: May 2023

Abstract
To meet the thermal insulation requirements of the measurement system in the liquid oxygen tank of the rocket, we designed the thermal insulation structure of the optical measuring device at an extremely low temperature based on phase change temperature control, selected neicosane as the phase change material, and used 15 mm phase change layer to combine with 9 mm polyurethane thermal insulation layer to achieve passive temperature control. Finally, a thermal simulation model is established for transient thermal analysis. The simulation results show that the internal temperature of the system decreases from the initial temperature of 50 °C to -13.9 °C after 2 hours, which proves that the design meets the requirements.
Numerical simulation of drag reduction effect on the surface of bionic fish-scales
Authors: Wu Xueting , Wang Yonghua , Xu Jinkai , Yu Huadong 
Published: May 2023

Abstract
With the development of marine transportation and underwater navigation technology, fluid drag reduction has become an international research hotspot as an important technical means to save energy and reduce environmental pollution. It has been found that the body surface structures of many organisms have unique drag-reduction properties. Therefore, it is feasible and important to replicate the morphological features of the body surface to the material surface. In this research, the structural features of biomimetic fish scales were summarized and extracted by observing the laminar arrangement features and morphology features of the surface scales of aquatic fish. Then, the arrangement features and morphology of fish-scales were abstracted into the oblique groove structure, and a three-dimensional model of the bionic fish-scale with a fan-shaped structure was constructed. The surface flow field of the bionic fish-scale was numerically simulated by COMSOL Multiphysics to revealing the mechanism of resistance reduction on the surface of the bionic fish-scale. The results indicate that the maximum drag reduction rate of the bionic fish scale surface is 8.40% compared with the smooth surface at a water speed of 0.6 m/s.
Simulation Calculation of the Support Column Deformation of the Precision Crane Based on Abaqus
Authors: Wang Shang , Peng Fei 
Published: May 2023

Abstract
The support columns of cranes can undergo minor deformations under heavy pressure, which poses a challenge to lifting sophisticated equipment, such as satellites. To improve the stability and accuracy of the crane, the small deformation of the support column was studied. Two methods, numerical simulation and calculus derivation, were adopted by the research team. The results show that the numerical value calculated by the finite element method is 12.43 μm, while the numerical value derived by integration is 12.50 μm. The relative error is within the acceptable range, which verifies the accuracy of the model. The finite element method can calculate the deformation of precision crane column to improve its accuracy and safety, and provide data support for the design and optimization of precision crane.
Research on indoor real-time positioning technology of LED visible light communication based on arbitrary three-axis rotation angle
Authors: Lv Liangliang , Liu Tingzhang , Yan Wenyi , Fan Ruijie 
Published: May 2023

Abstract
LED visible light communication indoor positioning system based on three-axis rotation angle of cell phone, including modulated signal LED downlight, rotation vector sensor and camera of smartphone, target tracking module and developed positioning method. The main processes are: the three-axis rotation angle of cell phone obtained from the rotation vector sensor, the position information of LED downlight image in pixel coordinate system obtained from the camera, the LED downlight position information obtained by decoding method, bring the above information into the positioning system. Meanwhile, the target tracking module based on Continuously Adaptive Mean-shift (CAMSHIFT) algorithm can effectively enhance the system operation speed and improve the real-time performance, and the three-axis rotation angle can effectively adapt to the cell phone pose transformation. This positioning system performs well in terms of positioning accuracy and real-time performance.
Intelligent Speech Garbage Classification Based on Deep Residual Network
Authors: Dong Duanni , Yu Jinjun , Shan Yihan , Zhou Zixuan 
Published: May 2023

Abstract
To solve the problem that there are many kinds of municipal solid waste and urban residents do not have a clear classification standard for garbage, an intelligent voice garbage classification system based on a deep residual neural network is designed. For the four kinds of common garbage in life, the voice commands of four kinds of typical garbage are collected. Through the speech endpoint detection algorithm, the silence and noise in the speech are removed, and the acoustic model based on the deep residual network is built to realize garbage classification. The experimental results show that after the model training is completed, the accuracy of the verification set reaches 98%, the accuracy of the test set reaches 96%, and the generalization ability is strong, which has a high application value.
Handling robot non-fixed high-velocity handling method
Authors: Zhang Zhihao , Guo Fuyu , Tang Qian , Chen Jiawei 
Published: May 2023

Abstract
Handling robots are widely used today, and non-fixed handling is more effective than fixed handling in some specific scenarios. The non-fixed handling of robots can increase the load and reduce the precise positioning process of grabbing the object, but the handling velocity is relatively slow for the stability of the object. In addition, it needs to consider the friction and reaction force constraints on the object. This paper proposes a non-fixed high-velocity handling method for the handling robot. First, it deduces the friction and reaction force constraints that maintain the dynamic balance of the object during the handling process into robot dynamic constraints. Then, the time-optimal trajectory planning algorithm based on reachability analysis is used to solve the robot’s time-optimal trajectory that satisfies the dynamic constraints of the object in the handling process. This leads to a markedly improved production efficiency, as the robot concludes the handling process in the shortest possible time. Finally, the experimental handling of the object by the ABB IRB1200 robot verifies this method.
A RUL Prediction Method of Lithium-ion Battery Based on Extreme Learning Machine
Authors: Meng Xiangdong , Wang Wei , Cao Xinyu , Li Gang , Li Dexing 
Published: May 2023

Abstract
Owing to the complexity of the electrochemical reaction types in lithium-ion batteries and the characteristics of nonlinear degradation, using physical models to describe the degradation process is often not accurate enough. This paper only analyzes from the perspective of data, through a data-driven method, extreme learning machine ( ELM ), to predict the remaining useful life (RUL) of lithium-ion. Firstly, the cycle charge and discharge data of lithium-ion battery are analyzed in depth to find the parameters which can indirectly characterize the degree of degeneracy of lithium-ion battery. The parameters with strong robustness to the actual capacity of lithium-ion battery are selected as indirect health indicators by correlation coefficient analysis. Then, the RUL prediction model based on ELM is constructed, which is trained and tested using the lithium-ion battery data sample set published by NASA. The results show that the RUL prediction method based on ELM can effectively predict the battery RUL, and the root mean square error (RMSE) can reach below 5 %.
A lightweight improvement of YOLOv5 for insulator fault detection
Authors: Zhou Tianshui 
Published: May 2023

Abstract
Along with the development of artificial intelligence, mobile terminal equipment patrol inspection has become the mainstream of power grid line patrol inspection. Insulator defect detection is an important part of power patrol inspection. To increase the detection speed under the condition of guaranteeing high precision of insulator detecting, an improved lightweight YOLOv5 algorithm is presented to achieve insulator defect detection. This algorithm uses the lightweight Ghost convolution to improve the general convolution and the Ghost Bottleneck module to improve the head module in YOLOv5. Based on the original Ghost lightweight, the algorithm improves the channel data suitable for insulator detection and decreases the number of convolutions. In the same research data and experimental environment setting, the effect is better than the unmodified Ghost optimization. Experiment results indicate that the mean precision of detecting insulator is 81%, the number of algorithm models and parameters is reduced, the speed of detection is increased under the premise of ensuring accuracy, and the improved algorithm model is more lightweight and easy to deploy and use in embedded mobile terminals.
Inverse solution of six-degrees-of-freedom serial robot with adjacent three joint axes parallel based on screw theory
Authors: Jing Xuedong , Zha Qinglin 
Published: May 2023

Abstract
Inverse kinematics occupies a vital role in robotics and is the fundation of robot trajectory planning as well as rigid body motion, which directly affects the rapidity and accuracy of control. Compared with the traditional Denavit-Hatenberg parameter modeling, the screw method has its unique advantages. The paper establishes the kinematic model of a six-degree-of-freedom serial robot using screw theory. The Paden-Kahan sub-problem, orientation separation reduction technique and matrix transformation are used to resolve the inverse kinematics. The effectiveness and validity of the above algorithm are verified by data calculation. A new inverse solution algorithm is designed in this paper to propose an idea for the inverse kinematic solution with the second, third, and fourth joints being parallel to each other in the robot.
Angiogenesis coupled with osteogenesis in a bone tissue engineering scaffold enhances bone repair in osteoporotic bone defects
Authors: Feng Guiyu , Liu Wei , Yu Yao , Tian Bingbing , Zhang Yingkai , Yang Fenghe , Huang Jian , Zhang Pingxin , Wang Wei , Li Dongyang , Sun Song , Niu Xufeng , Chai Limin , Li Jinyu 
Published: May 2023

Abstract
Increased life expectancy has resulted in an increase in osteoporosis incidence worldwide. The coupling of angiogenesis and osteogenesis is indispensable for bone repair. Although traditional Chinese medicine (TCM) exerts therapeutic effects on osteoporosis, TCM-related scaffolds, which focus on the coupling of angiogenesis and osteogenesis, have not yet been used for the treatment of osteoporotic bone defects. Panax notoginseng saponin (PNS), the active ingredient of Panax notoginseng, was added to a poly (L-lactic acid) (PLLA) matrix. Osteopractic total flavone (OTF), the active ingredient of Rhizoma Drynariae, was encapsulated in nano-hydroxyapatite/collagen (nHAC) and added to the PLLA matrix. Magnesium (Mg) particles were added to the PLLA matrix to overcome the bioinert character of PLLA and neutralize the acidic byproducts generated by PLLA. In this OTF-PNS/nHAC/Mg/PLLA scaffold, PNS was released faster than OTF. The control group had an empty bone tunnel; scaffolds containing OTF:PNS = 100:0, 50:50, and 0:100 were used as the treatment groups. Scaffold groups promoted new vessel and bone formation, increased the osteoid tissue, and suppressed the osteoclast activity around osteoporotic bone defects. Scaffold groups upregulated the expression levels of angiogenic and osteogenic proteins. Among these scaffolds, the OTF-PNS (50:50) scaffold exhibited a better capacity for osteogenesis than the OTF-PNS (100:0 and 0:100) scaffolds. Activation of the bone morphogenic protein (BMP)-2/BMP receptor (BMPR)-1A/runt-related transcription factor (RUNX)-2 signaling pathway may be a possible mechanism for the promotion of osteogenesis. Our study demonstrated that the OTF-PNS/nHAC/Mg/PLLA scaffold could promote osteogenesis via the coupling of angiogenesis and osteogenesis in osteoporotic rats with bone defects, and activating the BMP-2/BMPR1A/RUNX2 signaling pathway may be an osteogenesis-related mechanism. However, further experiments are necessary to facilitate its practical application in the treatment of osteoporotic bone defects.
The chicken eggshell membrane: a versatile, sustainable, biological material for translational biomedical applications
Authors: Mensah Rosemond A , Salim Kawther , Peszko Katarzyna , Diop Seyta , Wong Ting HR , Chau David YS 
Published: May 2023

Abstract
Naturally derived materials are often preferred over synthetic materials for biomedical applications due to their innate biological characteristics, relative availability, sustainability, and agreement with conscientious end-users. The chicken eggshell membrane (ESM) is an abundant resource with a defined structural profile, chemical composition, and validated morphological and mechanical characteristics. These unique properties have not only allowed the ESM to be exploited within the food industry but has also led to it be considered for other novel translational applications such as tissue regeneration and replacement, wound healing and drug delivery. However, challenges still exist in order to enhance the native ESM (nESM): the need to improve its mechanical properties, the ability to combine/join fragments of ESM together, and the addition or incorporation of drugs/growth factors to advance its therapeutic capacity. This review article provides a succinct background to the nESM, its extraction, isolation, and consequent physical, mechanical and biological characterisation including possible approaches to enhancement. Moreover, it also highlights current applications of the ESM in regenerative medicine and hints at future novel applications in which this novel biomaterial could be exploited to beneficial use.
First-principles study of the effect of pressure on the physical properties of PbC
Authors: Muñoz H , Antonio J E , Cervantes J M , Rosas-Huerta J L , Carvajal E , Escamilla R 
Published: May 2023

Abstract
Silicon carbide has been used as a cutting material and as a semiconductor in lighting and power electronics. Results from some studies, carried out on IV-IV group carbides like GeC and SnC, allow to identify potential technological applications of these carbides in extreme environments, opening the possibility to find new carbides for similar applications. For this work, the PbC was studied under hydrostatic pressure in the framework of the Density Functional Theory, obtaining relevant information on its structural, electronic, mechanical, vibrational, thermodynamical, and optical properties. The optimized lattice parameter and volume, and electronic bands structures type agree with the available theoretical data at zero GPa. The calculated enthalpy values show a phase transition, from the B3 structure (CsCl-type) to the B1 structure (rocksalt or NaCl-type), at 23.5 GPa. The PbC is energetically, mechanically, and dynamically stable for all the pressure values in the studied range; it is a metallic, anisotropic, and brittle material with paramagnetic ionic-covalent bonds and good hardness (the highest mechanical resistance was found above T = 370 K). As the pressure increases, it was noted: (i) the increase of the electronic cloud around the C and Pb atoms, (ii) the DOS spread, (iii) the change to be a ductile material with a tendency to the metallic bonds and (iv) an increase of the hardness and the Young modulus, due to C 2p and Pb 6p-orbitals. Our results show that the PbC is a promising material for applications in the development of optical and optoelectronic devices, and to be used as a protective coating against the low frequencies in the UV and infrared and visible regions.
The opportunity of using durum wheat landraces to tolerate drought stress: screening morpho-physiological components
Authors: Chaouachi Latifa , Marín-Sanz Miriam , Kthiri Zayneb , Boukef Sameh , Harbaoui Kalthoum , Barro Francisco , Karmous Chahine 
Published: May 2023

Abstract.
Local genetic resources could constitute a promising solution to overcome drought stress. Thus, eight (8) durum wheat landraces and one improved variety were assessed for drought tolerance in pots under controlled conditions. Three water treatments were tested: control (100 % of the field capacity (FC)), medium (50 % FC) and severe (25 % FC) stress. The assessment was carried out at the seedling stage to mimic stress during crop set-up. Results showed that increased water stress led to a decrease in biomass and morpho-physiological parameters and an increase in antioxidant enzyme activities. Severe water stress decreased the chlorophyll fluorescence parameters, relative water content (RWC) and water potential of the investigated genotypes by 56.45, 20.58, 50.18 and 139.4 %, respectively. Besides, the phenolic compounds content increased by 169.2 % compared to the control. Catalase and guaiacol peroxidase activities increased 17 days after treatment for most genotypes except Karim and Hmira. A principal component analysis showed that the most contributed drought tolerance traits were chlorophyll fluorescence parameters, RWC and electrolyte conductivity. Unweighted pair group method with arithmetic mean clustering showed that the landraces Aouija, Biskri and Hedhba exhibited a higher adaptive response to drought stress treatments, indicating that water stress-adaptive traits are included in Tunisian landraces germplasm.
Sex differences in structural covariance network based on MRI cortical morphometry: effects on episodic memory
Authors: Shi Yajun , Cui Dong , Niu Jinpeng , Zhang Xiaotong , Sun Fengzhu , Liu Haiqin , Dou Ruhai , Qiu Jianfeng , Jiao Qing , Cao Weifang , Yu Guanghui 
Published: May 2023

Abstract
Sex differences in episodic memory (EM), remembering past events based on when and where they occurred, have been reported, but the neural mechanisms are unclear. T1-weighted images of 111 females and 61 males were acquired from the Dallas Lifespan Brain Study. Using surface-based morphometry and structural covariance (SC) analysis, we constructed structural covariance networks (SCN) based on cortical volume, and the global efficiency (Eglob) was computed to characterize network integration. The relationship between SCN and EM was examined by SC analysis among the top-n brain regions that were most relevant to EM performance. The number of SC connections (females: 3306; males: 437, P = 0.0212) and Eglob (females: 0.1845; males: 0.0417, P = 0.0408) of SCN in females were higher than those in males. The top-n brain regions with the strongest SC in females were located in auditory network, cingulo-opercular network (CON), and default mode network (DMN), and in males, they were located in frontoparietal network, CON, and DMN. These results confirmed that the Eglob of SCN in females was higher than males, sex differences in EM performance might be related to the differences in network-level integration. Our study highlights the importance of sex as a research variable in brain science.
Retrospective: Patricia S. Goldman-Rakic, pioneer in neuroscience and co-founder of the journal, Cerebral Cortex
Authors: Arnsten Amy F T 
Published: May 2023

Abstract
Patricia Goldman-Rakic (1937–2003), the co-founder of this journal, was a pioneering neuroscientist who made transformational discoveries about the prefrontal cortex and the neurobiological basis of working memory. Her research served as the foundation for cognitive neuroscience, and paved the path for women in science. Her multidisciplinary approach created a new paradigm, where the scientific question, rather than a single method, was paramount to the investigation. The current review provides a brief summary of her extraordinary life and scientific contributions.