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Copyright of Journal of Vibration, Measurement & Diagnosis is the property of Nanjing Hangkong Daxue and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Remote Sensing for Natural Resources is the property of Remote Sensing for Natural Resources Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of China Pulp & Paper is the property of China Pulp & Paper Magazines Publisher and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of China Mining Magazine is the property of China Mining Magazine Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

交叉性失语是一组由于右利手者右侧大脑半球损伤引起的获得性语言障碍综合征，在卒 中患者中的发病率为0.38%～4.6%，包括镜像失语与非典型失语，口语表达障碍多数为非流利性失语。 交叉性失语的发病机制目前仍存在争议，越早进行康复训练，预后越好。本文从交叉性失语的发病 机制、临床特点、影像学检查及康复训练的研究进展进行综述，以提高临床医师的重视，从而为交 叉性失语的诊治提供理论依据。 Abstract: Crossed aphasia (CA) refers to aphasia occurring after right cerebral hemisphere injure in right-handed individuals. The incidence of CA in stroke patients is 0.38%-4.6%. CA includes mirror image crossed aphasia and anomalous crossed aphasia, and impaired oral expression mainly presented with non-fluent aphasia. The mechanism of CA remains unclear. Previous studies have showed that the earlier the rehabilitation, the better the prognosis. This paper reviewed the pathogenesis, clinical features, imaging characteristics and rehabilitation of CA, to provide a reference for diagnosis and treatment of CA. more...

Copyright of Mechanical & Electronic Control Engineering is the property of Omniscient Pte. Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

目的 探讨无症状性颈动脉狭窄（asymptomatic carotid artery stenosis，ACAS）患者药物治疗和介入 治疗后的临床结局。 方法 收集北大医疗淄博医院及北京朝阳医院2015年11月-2017年6月接受治疗的102例ACAS患者脑血 管造影诊断及介入或药物治疗的资料，分析介入治疗和单独药物治疗的临床结局及安全性。 结果 102例无症状性颈动脉狭窄患者中，70例患者行颈动脉支架治疗+标准药物治疗，32例拒行支 架成形术或内膜剥脱术的患者给予标准药物治疗。随访1年，治疗组临床终点事件发生率1.4%（1例）， 对照组12.5%（4例），两组临床终点事件发生率比较，差异有统计学意义（χ 2=5.774，P =0.016）。治疗 组中合并易损斑块患者41例，临床终点事件发生率2.4%（1例）；对照组中合并易损斑块患者17例，临 床终点事件发生率17.6%（3例）。治疗组合并易损斑块患者临床终点事件发生率低于对照组合并易 损斑块患者，比较差异有统计学意义（χ 2=4.329，P =0.037）。而本次研究中仅有2例术中出现心绞痛 发作，经及时处理得到改善，无死亡或永久性神经功能缺损病例。 结论 对于ACAS患者和ACAS伴易损斑块患者，颈动脉支架治疗均优于单独标准药物治疗，且有良好 的安全性。 Abstract: Objective To compare the clinical outcome of optimal medical therapy and interventional therapy for patients with asymptomatic carotid artery stenosis (ACAS). Methods 102 patients with ACAS from PKU Care Zibo hospital and Beijing Chao-Yang hospital from November 2015 to June 2017 were included in this study. Data of cerebral angiography, endovascular treatment and medical therapy for all patients were collected. The curative effect and safety of two different treatment methods were compared. Results Of all 102 patients, 70 ones undertook carotid artery stenting combined with standard medical therapy, 32 ones received standard medical therapy. After 1 year follow-up, clinical endpoint events occurred in 1 (1.4%) patient in stenting group, and 4 (12.5%) patients in control group, the difference between the two groups had statistical significance (χ 2=5.774, P =0.016). For high-risk patients with vulnerable carotid plaque, there were 41 ones in stenting group and 17 ones in control group. For such high-risk patients, clinical endpoint events occurred in 1 (2.4%) patient in stenting group and 3 (17.6%) patients in control group, and the difference between the two groups had statistical significance (χ 2=4.329, P =0.037). Two patients had angina during the perioperative period, both of which recovered soon after effective treatment, and no death or permanent neurological deficits occurred. Conclusions For ACAS patients and ACAS patients with vulnerable carotid plaque, carotid artery stenting not only had better curative effect than merely medical therapy, but also had good safety. more...

Copyright of Storage & Process is the property of Tianjin Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

目的 探讨标准化病人的教学模式对卒中后言语障碍、吞咽困难教学效果的影响。 方法 将全国继续教育项目——全国语言障碍、吞咽困难培训班的学员中接受标准化病人教学模式 者作为实验组，未采用标准化教学模式教学者作为对照组，进行教学满意度调查问卷。对调查问卷 的8个问题进行统计学分析，比较实验组和对照组的教学效果。 结果 实验组对培训老师的授课能力满意度、培训内容掌握程度、教师授课能力和教材内容的认可 度、专家授课内容实用性的认可度、专家授课内容的深度、对培训班授课的综合评价等项目的满意度 均比对照组高，差异有统计学意义。 结论 标准化病人教学方法在全国继续教育项目——全国言语障碍、吞咽困难培训班中教学效果 显著，是值得推荐的教学模式。 Abstract: Objective To explore the effect of standardized patients teaching model on aphasia and dysphagia after stroke. Methods Those who received the standardized patients teaching model among the students of the National Continuing Education Program-National Aphasia and Dysphagia Training Course were assigned to the experimental group. Those not receiving the standardized teaching model as the control group, and a questionnaire on teaching satisfaction was conducted. Statistical analysis was performed on the eight questions of the questionnaire, to compare the teaching effects of the experimental group and the control group. Results The satisfaction with the training ability of the teachers, the degree of mastery of the training content, the recognition of the teachers' teaching ability and the content of the teaching material, the recognition of the practical content of the experts' lecture, the depth of the content of the experts' lecture, and the comprehensive evaluation of the training courses, etc. in the experimental group were all higher than that of the control group and the differences were statistically significant. Conclusion The standardized patients teaching method has a significant teaching effect in the National Continuing Education Progrom-National Aphasia and Dysphagia Training Course. This teaching mothod is worthy of recommendation. more...

This study refers computer simulation in scientific research to as scientific simulation. Based on its narrow and broad definitions, this study divides scientific simulation into three stages: numerical computation, simulation intelligence, and science brain. Now, scientific simulation is entering the era of simulation intelligence, i.e., driven by scientific big data and artificial intelligence technology, scientific simulation is shifting from traditional numerical simulation to simulation integrated with artificial intelligence. In order to understand what the right computing system for simulation intelligence is, the design guidelines, basic methods, and key technical problems are discussed. [ABSTRACT FROM AUTHOR] more...

Copyright of Coal Geology & Exploration is the property of Xian Research Institute of China Coal Research Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of China Plastics / Zhongguo Suliao is the property of Journal Office of CHINA PLASTICS and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Modern Preventive Medicine is the property of Modern Preventive Medicine Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Porous GaN thin films were successfully prepared by high-temperature annealing of GaN thin films with Au nanoparticles deposited on their surfaces in H2 and N2 atmosphere. The surface morphology of the porous structure can be regulated by parameters such as annealing temperature, annealing time and Au deposition time. The crystal quality of different GaN structures was characterized by high-resolution X-ray diffraction (HRXRD) and Raman spectroscopy. Compared with planar GaN, the dislocation density and residual stress of porous GaN are reduced. When the annealing temperature is 1 000 ℃, the dislocation density is the lowest and more compressive stress is released. The optical properties of the porous GaN were characterized by photoluminescence (PL) spectroscopy. Compared with planar GaN, the luminous intensity of porous GaN is significantly improved, which can be attributed to the increased porosity of the porous structure, and therefore effectively increased light scattering. In addition, the photocurrent density of different GaN structures was tested by electrochemical work station, and the results confirm that the photocurrent density of porous GaN with larger specific surface area can be increased by about 1. 67 times when used as a working electrode. Porous GaN thin films through high-temperature etching are successfully prepared in this paper, which providing some theoretical guidance for the improvement of the crystal quality and optical properties of the GaN epitaxial layer, and also shed some light on its application in the fields of photoelectric catalysis. [ABSTRACT FROM AUTHOR] more...

Copyright of Remote Sensing for Natural Resources is the property of Remote Sensing for Natural Resources Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Journal of Synthetic Crystals is the property of Journal of Synthetic Crystals Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Objective To examine the heart sound signals of four common congenital heart diseases of ventricular septal defect, atrial septal defect, patent ductus arteriosus and patent foramen with associated pulmonary hypertension and propose a deep learning-based intelligent auscultation algorithm for automatic classification of heart sound signals. Methods The algorithm in this study was based upon digital signal processing technology of converting one-dimensional temporal signal classification into a two-dimensional image classification and further applying deep neural networks for automatic classification of heart sound signals. A total of 941 heart sound data samples collected from Children's Hospital of Zhejiang University School of Medicine were employed for training, validation and testing with a ratio of 8 1 1 for training, validation and testing sets respectively. Additionally, 107 heart sound data samples gathered from a clinical screening environment were collected to validate the effectiveness of intelligent auscultation algorithm in real-world clinical applications. Results In this study, discrete wavelet transformation was utilized to denoise the heart sound signals and there was a significant improvement in model performance. Compared to model without denoising, the denoised model achieved no- table enhancements in accuracy, sensitivity, specificity and F1 score on testing set with improvements of 15. 8%,32.6%,11.1% and 27.3% respectively. Furthermore, the authors compared the performance of several common classification neural network models, including Swin_transform, Vit, Mobilenet, Resenet and Vgg, with their respective F1 scores of 0.905,0.842,0.687,0.814 and 0.864. Finally, using Swin_transform model, tests on the external dataset of 107 cases yielded an accuracy of 0.833, a sensitivity of 0.872 and a specificity of 0. 801. Conclusion This study highlights the significant impact of noise and neural network structure on the performance of automatic classification models for CHD heart sound signals. Through the application of discrete wavelet transform for denoising heart sound signals, a substantial improvement in model performance is observed. Among various common classification neural network models, Swin_transform model exhibits the best classification performance. Additionally, the validation of intelligent auscultation algorithm on an external dataset of 107 cases demonstrates its effectiveness in real-world clinical applications, yielding favorable accuracy, sensitivity and specificity results. In summary, this study demonstrates the promising potential of deep learning-based intelligent auscultation algorithms for automatic classification of CHD heart sound signals. [ABSTRACT FROM AUTHOR] more...

Copyright of China Pulp & Paper is the property of China Pulp & Paper Magazines Publisher and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

【目的】探讨线粒体未折叠蛋白反应（UPR mt ）对阿尔茨海默病（AD）Aβ蛋白聚集毒性的影响。【方法】将秀丽线 虫（Caenorhabditis elegans）线粒体外膜tomm-22、内膜E04A4.5以及atfs-1基因克隆并构建L4440干扰载体，转化HT115感受 态细胞以制备 tomm-22、E04A4.5 和 atfs-1 RNA 干扰菌。研究 tomm-22 和 E04A4.5 RNA 干扰对转基因线虫 AD 疾病模型 CL4176和CL2006瘫痪进程的影响。观察tomm-22和E04A4.5 RNA干扰后野生型线虫N2寿命，检测ATFS-1信号在抑制Aβ 蛋白聚集毒性中的作用，分析tomm-22和E04A4.5 RNA干扰后转基因线虫SJ4100 UPR mt 动态变化，以及转基因线虫DA2123 自噬水平。【结果】通过对线虫线粒体tomm-22和E04A4.5基因克隆及构建RNA干扰菌建立了UPR mt 模型，证实能够抑制AD 疾病模型CL4176 Aβ蛋白聚集毒性并延缓其瘫痪进程。野生型N2在喂食tomm-22和E04A4.5 RNA 干扰菌后寿命明显缩 短，而渐进性瘫痪线虫AD模型CL2006呈现前期延缓瘫痪而后期加速瘫痪的生理现象，说明UPR mt 呈现短期缓解线粒体应 激和改善线粒体功能的调节作用。通过atfs-1 RNA干扰证实延缓线虫AD模型CL4176瘫痪进程与ATFS-1信号不直接相 关。然而，tomm-22和E04A4.5 RNA干扰后UPR mt 呈现逐渐增强的趋势，并进一步诱导自噬相关分子LGG-l的上调表达，提 示RNA干扰延缓AD瘫痪进程是通过提高线虫体内自噬活性而发挥作用。【结论】线粒体UPR mt 通过协调线粒体与细胞核之 间的信号转导能够抑制Aβ蛋白聚集毒性，有助于恢复线粒体乃至细胞内蛋白质稳态，保障细胞正常生理功能，为AD等神 经退行性疾病的早期预防和治疗提供新的靶点。 more...

Bacillus cereus（ B. cereus） is a facultative anaerobic gram-positive bacterium, which is widely distributed in nature. Some B. cereus strains are opportunistic pathogens which can cause food poisoning. B. cereus exists in two forms （free or biofilm） in the environment, and the formation of biofilm increases the difficulty of prevention and control of this bacterium. In this paper, the composition, regulatory mechanism and removal methods of B. cereus biofilm formation are reviewed, in order to provide a reference for the research of B. cereus biofilm and its control and prevention. [ABSTRACT FROM AUTHOR] more...

Copyright of Asian Journals of Ecotoxicology is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of China Pulp & Paper is the property of China Pulp & Paper Magazines Publisher and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Modern Food Science & Technology is the property of Editorial Office of Modern Food Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Journal of Food Safety & Quality is the property of Journal of Food Safety & Quality Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Journal of Functional Materials / Gongneng Cailiao is the property of Chongqing Functional Materials Periodical Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Science Technology & Industry / Keji he Chanye is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Electronic Communication & Computer Science is the property of Omniscient Pte. Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Glucose monitoring is an important part of diabetes management. For over a century, diabetes monitoring technology has developed from the initial urine glucose test, to the later blood glucose test, and finally to the current continuous glucose monitoring (CGM), which is evolving in a more convenient, accurate, minimally invasive, and even non-invasive direction. CGM refers to the technology that continuously measures glucose concentrations in the subcutaneous interstitial fluid by glucose sensors. It can detect hyperglycemia and hypoglycemia that are not easily recognized by traditional monitoring methods. Using the huge amounts of glucose data generated by CGM technology, diabetes management is expected to be more targeted, with glucose control more accurate. In this context, novel measure of glucose control represented by time in range (TIR) has been popularized, which can provide comprehensive information including hyperglycemia, hypoglycemia, and glucose fluctuation. Hence, the modern approach to glucose control should focus not only on glycosylated hemoglobin, but also pay attention to new metrics such as TIR. In the future, more mature, minimally invasive and even non-invasive glucose monitoring technologies that are comfortable, stable and highly accurate should be further developed to greatly improve the experience and enthusiasm of the patients in blood glucose monitoring. Meanwhile, closed-loop insulin infusion system should be further developed, to truly realize individualized and automated glucose control, as well as further improvement of glucose control in the patients with diabetes. [ABSTRACT FROM AUTHOR] more...

Copyright of China Brewing is the property of China Brewing Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Mechanical & Electronic Control Engineering is the property of Omniscient Pte. Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Advanced Textile Technology is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Journal of Xi'an Jiaotong University (Medical Sciences) is the property of Xian Jiaotong University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Journal of Earth Sciences & Environment is the property of Journal of Earth Sciences & Environment and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao is the property of Chinese Journal of Applied Ecology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

Copyright of Journal of Clinical Hepatology / Linchuang Gandanbing Zazhi is the property of Journal of Clinical Hepatology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) more...

To solve the green fruit recognition problem of persimmons and apples, a green fruit segmentation algorithm based on optimized SOLO (Segmenting Objects by Locations) was proposed in this study to achieve accurate segmentation of green fruits in complex environments. The proposed algorithm was a single-stage instance segmentation method, which avoided the disadvantage that detection before segmentation in two-stage methods relied on detection performance. By introducing the concept of instance category, each pixel in the instance was assigned a category according to the location and size of the instance, therefore, the instance segmentation was transformed into a classification problem. This study takes green persimmons and green apples as the research objects. The image collection locations are Shandong Normal University (Changqing Lake Campus) Houshan and the Longwangshan Apple Production Base in Fushan District, Yantai City, Shandong Province. The acquisition device is a Canon EOS 80D SLR camera with an image resolution of 6 000×4 000 pixels. Collect under natural light during the day (7:00-17:00) and under LED light at night (19:00-22:00). A total of 568 images of green persimmons and 498 images of green apples were collected in the experiment, including nighttime, overlap, backlighting, forward light, shading, and after rain. The collected images were annotated by LabelMe software and then were made into a dataset in COCO format. Specifically, first, split-attention networks (ResNeSt) were used to extract features of the target fruit as the backbone network of optimized SOLO, which enhanced the transfer, reuse, and fusion of features in the front and back layers. Then ResNeSt and Feature Pyramid Network (FPN) were combined to solve the multi-scale problem of green fruits. Because FPN defined allocation strategies for different scale features and assigned them to the pyramid levels optimally. Finally, the image features extracted by the ResNeSt+FPN structure were utilized for the subsequent prediction. The optimized SOLO segmentation algorithm was divided into two branches: category prediction and mask generation. While the semantic category was predicted by the category prediction branch, the object instance was segmented by the mask generation branch, in this way, the target fruit segmentation was completed. The experimental results showed that the average recall and precision of the optimized SOLO segmentation algorithm reached 94.84% and 96.16%, respectively, with an average segmentation time of 0.14 s per green target fruit image on Graphics Processing Unit (GPU). Besides, compared with four algorithms, which were the optimized Mask R-CNN fruit recognition algorithm, SOLO, Mask Region Convolutional Neural Network (Mask R-CNN), and Fully Convolutional Instance-aware Semantic Segmentation (FCIS), the recall of the optimized SOLO segmentation algorithm in this study was improved by 1.63, 1.74, 2.23, and 6.52 percentage points, the precision was improved by 1.10, 1.47, 2.61, and 6.75 percentage points, respectively, and the segmentation times were reduced by 0.06, 0.04, 0.11, and 0.13 s, respectively. The relevant results show that the green fruit optimization SOLO segmentation algorithm proposed by the study can meet the real-time performance of green fruit segmentation and improve the accuracy of green fruit segmentation. This research algorithm can provide theoretical reference for segmentation of other target fruits and vegetables to extend the application of orchard yield measurement and robot harvesting. [ABSTRACT FROM AUTHOR] more...

Rockfill materials materials is an important material for each rockfill dam ;md its wetting deformation has a significant impact on the dam safety of each rockfill dams. In this paper, the research res1Jts on the wetting deformation characteristics of rockfill materials were emphatically The wetting test equipment mainly included consolidation apparatus, apparatus and plane strain apparatus; the test methods included single-line method and double-line method ; the factors affecting the wetting deformation of rockfill were mainly divided into internal and external factors. The calculation model of rockfill wetting deformation included theoretical model mid empirical model . Based on the summary and analysis of existing research res1.Jts, the contents deeply researched on wet deformation of rockfill material were: proposed. [ABSTRACT FROM AUTHOR] more...

The posture of target fruit is ever-changing in the complex orchard environment. Some target fruits are homochromatic with background, and the limited number of samples have brought great challenges to accurately detect the target, due mainly to the difficulty of collecting some environmental data. Therefore, the detection needs to meet the high requirements of intelligent yield measurement and automatic harvesting, in terms of both accuracy and efficiency. In this study, an efficient detection model was proposed for the green target fruits suitable for small samples under different light conditions and fruit postures. The optimized transformer network was also employed in this model. Firstly, the convolutional neural network (CNN) was used to extract image features. The transformer encoder was input after feature dimension reduction and positional encoding. Multi-head attention and feed-forward network (FFN) were then selected to obtain the encoder output. Secondly, the transformer decoder processed the input using multi-head attention and feed-forward network. The positional encoding was then added to each link. After that, the outputs were generated with different data sizes. The bounding boxes were much larger than the actual objects after prediction, indicating a low missing rate of green target fruit after decoder settlement. Finally, the feed-forward network (FFN) was utilized to predict the detection. The training of detection model was mostly used sufficient samples to avoid overfitting in the training process for higher generalization of the model. Bootstrapping was also introduced to repeatedly mapping the original data for several times. As such, the expanding dataset was utilized to meet the high requirement of larger samples for the higher accuracy of detection mode in the training process. Transfer learning was selected to significantly improve the training efficiency of the model, while, accelerate the convergence of the network. The apple and persimmon datasets were made separately for the model training. The experimental results show that the training efficiency of the model was greatly improved by more than 13% after migration learning. An excellent illustration of features transferability increased the speed and efficiency of detection, as the difference decreased between the pre-training and target task. Transfer learning was adopted to improve the efficiency of the model, where the model converged faster and was better suitable for the complex orchard environment. The new model can widely be expected to effectively realize the detection of green target fruit in the complex orchard environment with multiple postures, illumination, and scenes, indicating better generalization ability and robustness. The accuracies of detection were 93.27% and 91.35%, respectively, when testing green persimmons and green apples. Consequently, the new optimized model presented the best performance, compared with the conventional. The finding can also provide a sound theoretical reference for the target detection of green fruits and vegetables in the intelligent yield measurement and automated harvesting in orchards. [ABSTRACT FROM AUTHOR] more...

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As the most promising optoelectronic device in the 21st century, the research of epitaxial structure of light-emitting diode has been a hot topic for scientists. Three types of InGaN/GaN micro-array with different morphologies were grown on graphical sapphire substrate by selective regional epitaxy using metal organic chemical vapor deposition technology. The size of the array is 6 μm. The tablets array is dominated by (0001)c facet, the height is 0. 6 μm; the platelets array includes one (0001)c facet and six equivalent (10-11) semi-polar facets, the height is 1. 2 μm; the pyramid-like array is dominated by (10-11) semi-polar facet and the height is 5 μm. The luminescence properties of InGaN/GaN micro-array structure were characterized by micro-area photoluminescence spectrometer and the results show that InGaN/GaN micro-array with different morphologies could achieve multi-wavelength emission, but its luminescence properties are heavily dependent on the morphology. Cathodic fluorescence spectra results show that the InGaN/GaN platelets array's wavelength covering red, green and blue was obviously different for different test positions, which is mainly attributed to surface migration effect and transverse gas phase diffusion resulting in nonuniform distribution of In content in each position. Moreover, the results of energy dispersive spectrometer analysis show that the In content on different facets are different, and the (0001)c facet content is more than that of (10-11) semi-polar facets. For the realization of multi-emission and new optoelectronic device design, the successful preparation InGaN/GaN micro-array is very significance. [ABSTRACT FROM AUTHOR] more...