摘要：
Based on the concept of microstructure control and multiphase doping, a novel strong-textured porous (STP) Cu-Al-Mn (CAM) shape memory alloy was fabricated through multi-stage sintering process. Porosity ranging from 31.1 to 11.4 % and the largest near-elastic deformation approached 8.0% were achieved in the STP Cu71Al18Mn11 alloy. Through in-depth characterization, it is confirmed that STP-CAM has less γ2 phase compared to porous ordinary polycrystalline alloy, and exhibits strong 〈0 0 1〉 and 〈1 0 1〉 -oriented texture along the direction of sintering pressure, as well as low angle grain boundaries, which contributes to the large near-elastic deformation observed in this novel porous SMAs.
摘要：
Accurate classification and identification of chicken parts are critical to improve the productivity and processing speed in poultry processing plants. However, the overlapping of chicken parts has an impact on the effectiveness of the identification process. To solve this issue, this study proposed a real-time classification and detection method for chicken parts, utilizing YOLOV4 deep learning. The method can identify segmented chicken parts on the assembly line in real time and accurately, thus improving the efficiency of poultry processing. First, 600 images containing multiple chicken part samples were collected to build a chicken part dataset after using the image broadening technique, and then the dataset was divided according to the 6:2:2 division principle, with 1200 images as the training set, 400 images as the test set, and 400 images as the validation set. Second, we utilized the single-stage target detector YOLO to predict and calculate the chicken part images, obtaining the categories and positions of the chicken leg, chicken wing, and chicken breast in the image. This allowed us to achieve real-time classification and detection of chicken parts. This approach enabled real-time and efficient classification and detection of chicken parts. Finally, the mean average precision (mAP) and the processing time per image were utilized as key metrics to evaluate the effectiveness of the model. In addition, four other target detection algorithms were introduced for comparison with YOLOV4-CSPDarknet53 in this study, which include YOLOV3-Darknet53, YOLOV3-MobileNetv3, SSD-MobileNetv3, and SSD-VGG16. A comprehensive comparison test was conducted to assess the classification and detection performance of these models for chicken parts. Finally, for the chicken part dataset, the mAP of the YOLOV4-CSPDarknet53 model was 98.86% on a single image with an inference speed of 22.2 ms, which was higher than the other four models of YOLOV3-Darknet53, YOLOV3-MobileNetv3, SSD-MobileNetv3, and SSD-VGG16 mAP by 3.27%, 3.78%, 6.91%, and 6.13%, respectively. The average detection time was reduced by 13, 1.9, 6.2, and 20.3 ms, respectively. In summary, the chicken part classification and detection method proposed in this study offers numerous benefits, including the ability to detect multiple chicken parts simultaneously, as well as delivering high levels of accuracy and speed. Furthermore, this approach effectively addresses the issue of accurately identifying individual chicken parts in the presence of occlusion, thereby reducing waste on the assembly line. PRACTICAL APPLICATION: The aim of this study is to offer visual technical assistance in minimizing wastage and resource depletion during the sorting and cutting of chicken parts in poultry production and processing facilities. Furthermore, considering the diverse demands and preferences regarding chicken parts, this research can facilitate product processing that caters specifically to consumer preferences.
摘要：
In this paper, the random matrix big data analysis model is thoroughly studied and constructed, the ecological model of college students' innovation and entrepreneurship education is analyzed, and the optimization model of college students' Innovation and entrepreneurship education environmental model based on the random matrix big data analysis model is designed. This paper briefly explains the random matrix and its M-P rate theory deduces the idea of feature extraction by the difference of eigenvalue limit spectrum distribution between different nonrandom matrices and random matrices, gives the data matrix representation method of FEMPL and the specific feature composition basis, and describes the steps of FEMPL feature extraction. A performance model for predicting the running time of Hadoop jobs is constructed using a random matrix. In this paper, innovation and entrepreneurship education has been carried out gradually, and the innovation and entrepreneurship education curriculum, platform, and mechanism have been progressively established. However, there is still a gap between the proper level of innovation and entrepreneurship education development. This study takes education ecology as the research perspective, analyzes the ecosystem of typical schools of innovation and entrepreneurship education, summarizes the dimensions and parameters of the invention and entrepreneurship education ecosystem, constructs an ecological model of innovation and entrepreneurship education for college students, and analyzes the problems and causes of the current innovation and entrepreneurship education ecology for college students based on the model, to propose specific strategies to promote the ecological development of innovation and entrepreneurship education for college students.
摘要：
Water management is important for proton exchange membrane fuel cell (PEMFC). To maintain highly efficient and stable operation of PEMFC, water generated in PEMFC needs to be migrated in time. An inner dehumidification technique is proposed to remove the water inside the PEMFC stack. Two inner condensing units are set near the cathode outlet to cooling the moisture gas. Water vapor in the flow channel will transfer directly to the outlet to supplement the vapor loss due to condensing. As a consequence, water flooding is sufficiently mitigated inside PEMFC. The experimental results show that the output voltage of the dead-ended fuel cell stack increases by 9.77% at 1000 mA center dot cm(-2) when the condensing temperatures is 5 degrees C. When the condensing temperature decreases from 20 degrees C to 5 degrees C, the average stack voltage can be increased by 14.3% at 500 mA center dot cm(-2), and the average temperature difference decreases from 3.2 degrees C to 1.8 degrees C. Moreover, the performance and temperature distribution uniformity are all increased with the increasing of the operation temperature due to inner moisture dehumidification.
作者机构：
[Peng, Yuhua] Wuchang University of Technology, Artificial Intelligence School, HuBei, China;[Wang, Ying] School of Mechanical Engineering, Wuhan Polytechnic University, HuBei, China;[Raffik, R.] Department of Mechatronics Engineering, Kumaraguru College of Technology, Tamilnadu, Coimbatore, India;[Jagota, Vishal] Department of Mechanical Engineering, Madanapalle Institute of Technology & Science, AP, Madanapalle, India;[Bhatia, Komal Kumar] Department of Computer Engineering, J.C. Bose University of Science & Technology, Ertwhile YMCA University of Science & Technology, Haryana, Faridabad, India
期刊：
FRONTIERS IN PSYCHOLOGY,2022年12:724175 ISSN：1664-1078
通讯作者：
Hong, J.;Mao, Q.
作者机构：
[Hong, Jianzhong; Diao, Chunting] Cent China Normal Univ, Sch Psychol, Key Lab Adolescent Cyber Psychol & Beha, Wuhan, Peoples R China.;[Diao, Chunting] Hubei Univ Chinese Med, Sch Humanities, Wuhan, Peoples R China.;[Zhou, Xuan] Wuhan Polytech Univ, Sch Mech Engn, Wuhan, Peoples R China.;[Mao, Qiming] Cent China Normal Univ, Sch Educ, Wuhan, Peoples R China.
通讯机构：
[Hong, J.; Mao, Q.] S;School of Psychology, Key Laboratory of Adolescent Cyber Psychology and Behavior, Central China Normal University, Wuhan, China
关键词：
activity theory;change laboratory;elementary school teacher;teaching research activities;transformative agency
作者机构：
[Gong, Pan; Wang, Dongliang; Wang, Xinyun; Zhang, Cheng] Huazhong Univ Sci & Technol, Sch Mat Sci & Engn, State Key Lab Mat Proc & Die & Mould Technol, Wuhan 430074, Peoples R China.;[Gong, Pan] Huazhong Univ Sci & Technol Shenzhen, Res Inst, Shenzhen 518057, Peoples R China.;[Wang, Ying] Wuhan Polytech Univ, Sch Mech Engn, Wuhan 430000, Peoples R China.;[Jamili-Shirvan, Zahra] Esfarayen Univ Technol, Esfarayen, North Khorasan, Iran.;[Yao, Kefu] Tsinghua Univ, Sch Mat Sci & Engn, Beijing 100084, Peoples R China.
通讯机构：
[Gong, Pan; Wang, Xinyun] S;State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, China<&wdkj&>Research Institue of Huazhong University of Science and Technology in Shenzhen, Shenzhen, China<&wdkj&>State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
摘要：
The corrosion behavior of TiZrHfBeCu(Ni) high-entropy bulk metallic glasses (HE-BMGs) has been investigated. The TiZrHfBeCu(Ni) HE-BMGs exhibited high corrosion resistance in 3.5 wt. % NaCl solution because of accumulation of ZrO2 and TiO2 in the passive film. Ni promoted increases of the ZrO2, TiO2, and HfO2 contents and a decrease of the BeO content, which improved the HE-BMG corrosion behavior. Compared with Zr41.2Ti13.8Ni10Cu12.5Be22.5 BMG, the high-entropy effect of HE-BMGs can significantly reduce the atomic mobility, which inhibits outward migration of Cu, reduces the kinetics of the dissolution reaction, and inhibits inward erosion by Cl−, thereby improving the corrosion performance.
通讯机构：
[Yajun Jiang; Ming Ma; Dan Fu] C;College of Mechanical Engineering,Wuhan Polytechnic University,Wuhan,China<&wdkj&>Equipment Engineering Technology Research Center for Aquatic Products Processing in Hubei Province,Wuhan,null,China
关键词：
Introduction;Materials and Methods;Results;Discussion;Conclusion;Abstract;Data Availability;Additional Points;Ethical Approval;Consent;Disclosure;Conflicts of Interests;Authors’ Contributions;Funding Statement;Acknowledgements;Acknowledgments;Supplementary Materials;Reference;Dataset Description;Dataset Files;Abstract;Introduction;Introduction and Materials;Introduction and Methods;Materials;Materials and Methods;Methods;Results;Discussion;Results and Discussion;Discussion and Conclusion;Results and Conclusion;Conclusion;Conclusions;Data Availability;Additional Points;Ethical Approval;Consent;Disclosure;Conflicts of Interest;Authors’ Contributions;Funding Statement;Acknowledgements;Supplementary Materials;References;Appendix;Abbreviations;Preliminaries;Introduction and Preliminaries;Notation;Proof of Theorem;Proofs;Analysis of Results;Examples;Numerical Example;Applications;Numerical Simulation;Model;Model Formulation;Systematic Palaeontology;Nomenclatural Acts;Taxonomic Implications;Experimental;Synthesis;Overview;Characterization;Background;Experimental;Theories;Calculations;Model Verification;Model Implementation;Geographic location;Study Area;Geological setting;Data Collection;Field Testing;Data and Sampling;Dataset;Literature Review;Related Works;Related Work;System Model;Methods and Data;Experimental Results;Results and Analysis;Evaluation;Implementation;Case Presentation;Case Report;Search Terms;Case Description;Case Series;Background;Limitations;Additional Points;Case;Case 1;Case 2 etc.;Concern Details;Retraction Details;Copyright;Related Articles
摘要：
In this research, the influence of plastic deformation on the corrosion behaviors of CrCoFeMnNi high entropy alloy were comprehensively investigated. As the degree of plastic deformation increases, both the acceptor density of the passive film and the thickness of the space charge layer increase, while the resistance of the passive film gradually weakens. The Fe and Cr oxides on the passive films decrease with the increasing plastic deformation degree, resulting in the weaker resistance of the passive film. Numerous dislocations formed after plastic deformation promote the increase of electrochemical dynamics and galvanic corrosion rate. Therefore, severe plastic deformation lowers the corrosion resistance of the alloy. (c) 2021 Elsevier B.V. All rights reserved.
通讯机构：
[Liu Yang] C;College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430048, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
apple;damage;finite element method;mechanical–structural properties
