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SSRN 2023年

作者： wang, Wei Xiao, Yonghui Pan, Yishan wang, shuwen Zhao, Hongrui wang, Yuheng Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines Northeastern University Shenyang110819 China School of Physics Liaoning University Shenyang100036 China School of Environment Liaoning University Shenyang100036 China School of Mechanics and Engineering Liaoning Technical University Fuxin123000 China China National Coal Energy Co. LTD. Beijing100120 China China Coal Technology & Engineering Group Shenyang Research Institute Co. LTD. Fushun113000 China School of Resources and Civil Engineering Northeastern University Shenyang110819 China

In current bolt reaming and anchoring of a soft-coal rock mass roadway roadway, the resin cartridge bends easily under the strong pushing and stirring of the bolt, and the resin accumulates in the bolt-reamed area without any restrictions and does not participate in the stirring. As a result, the bolt encounters high drilling resistance and cannot reach the bottom of the hole. The effective anchorage length is far less than the actual anchorage length. The bolt is very eccentric and not centered, and the shear is misaligned at the joint surface in the reaming area, which leads to cracking of the whole anchoring solid and large shear deformation of the bolt. This study systematically analyzes the characteristics of roadway bolt reaming and anchoring. The influences of resin stirring force, bolt pull-out force, and reaming–anchoring solid strength on reaming–anchoring performance are analyzed theoretically. The main purpose is to develop a device that enhances reaming and anchoring. The mechanism through which the device strengthens the reaming–anchoring solid is analyzed theoretically. Numerical simulation and laboratory tests are carried out to verify the enhancement of the small-pore reaming and anchoring due to the proposed technology. The results show that the stirring migration rate of the resin cartridge is greatly improved by adding the device to the bolt. The reaction rate of the anchoring mixture, stirring pressure, pull-out force of the reaming and anchoring system, bolt concentricity, and shear and compressive strengths of the anchoring solid are also enhanced in the reaming area. This ensures the resin cartridge in the reaming area is completely stirred, which greatly improves the shear resistance of the reaming–anchoring solid. Meanwhile, the drilling performance, torsional force, and stirring efficiency of the bolt are maximized and are significantly better than those of the ordinary bolt. © 2023, The Authors. All rights reserved.

关键词： Resins

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Short-Term Forecasting of Evaporation Ducts Based on GraphCastGFS

Short-Term Forecasting of Evaporation Ducts Based on GraphCa...

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International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Chongyang Feng shuwen wang Fan Yang Kunde Yang Huang Chunlong Yantai Research Institute Harbin Engineering University Yantai China Ocean Institute Northwestern Polytechnical University Taicang China

ISBN: (数字)9798350353129

ISBN: (纸本)9798350353136

Evaporation ducts have an important impact on the propagation of electromagnetic waves near the sea surface. The short-term forecasting of regional evaporation ducts has important practical significance for radar, communication, etc. The development of machine learning technology has resulted in a wide range of applications in the field of meteorological forecasting. Recently, the National Centers for Environmental Prediction (NCEP) released the GraphCast Global Forecast System (GraphCastGFS), which is a new meteorological forecasting product based on the machine learning algorithm GraphCast. This study carried out a 168 h short-term forecast for the northern part of the South China Sea (SCS), based on the GraphCastGFS forecasting product and the NAVSLaM model. Taking ERA5 data as the benchmark value, a root-mean-square error (RMSE) analysis of the evaporation duct height (EDH) forecast results based on GraphCastGFS, and those of GFS, was performed. The results showed that the RMSE of the EDH forecast result based on GraphCastGFS was 3.0 m, and that of GFS was 3.4 m. The short-term forecasting accuracy of evaporation ducts based on GraphCastGFS was found to be marginally better than that of GFS, and the rapid data generation speed of GraphCastGFS further suggests its substantial potential in the field of evaporation duct forecasting.

关键词： Sea surface Meteorological radar Machine learning algorithms Surface waves Ducts Weather forecasting Predictive models Evaporation Radar applications Forecasting

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CD85d在急性髓系白血病中的表达及临床意义

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中国热带医学 2024年第8期24卷 978-981页

作者：饶若王述文吴莉芳王照良海南省人民医院海南医学院附属海南医院检验科海南海口570311

目的探讨CD85d在急性髓系白血病中表达及其对单核细胞相关性急性髓系白血病诊断的临床意义。方法通过CD45/SSC双参数设门方法,对海南省人民医院血液内科2022年3月至2023年12月收治的46例单核细胞相关性急性髓系白血病(monocyte associat... 详细信息

目的探讨CD85d在急性髓系白血病中表达及其对单核细胞相关性急性髓系白血病诊断的临床意义。方法通过CD45/SSC双参数设门方法,对海南省人民医院血液内科2022年3月至2023年12月收治的46例单核细胞相关性急性髓系白血病(monocyte associated acute myeloid leukemia,M-AML)和60例非单核细胞相关性急性髓系白血病(non monocyte associated acute myeloid leukemia,NM-AML)患者白血病细胞上CD85d、CD14、CD64进行流式细胞术免疫分析。结果正常粒细胞和正常单核细胞中均表达CD85d,并且单核细胞表达荧光强度强于粒细胞。正常淋巴细胞中不表达CD85d。CD85d在M-AML中表达阳性率为80.4%(37/46),高于在NM-AML中表达阳性率3.3%(2/60),差异有统计学意义(P<0.01);CD85d和CD64、CD14诊断M-AML的敏感度由高到低为CD64(87.0%)>CD85d(80.4%)>CD14(34.8%),诊断M-AML的特异度由高到低为CD14(100%)>CD85d(96.7%)>CD64(56.7%),CD85d联合CD64诊断MAML的敏感度为89.1%,特异度为56.7%。;CD85d+AML异常染色体核型检出率(53.8%)、融合基因阳性率(26.9%)、完全缓解(complete remission,CR)率(78.3%)与CD85d-AML的异常核型检出率(66.0%)、融合基因阳性率(50.0%)、CR率(70.0%)比较差异均无统计学意义(P>0.05)。结论CD85d可作为检测幼稚单核细胞新的高灵敏度和特异度表面标志物,有助于提高M-AML的检出率及与NM-AML亚型的鉴别诊断。

关键词： CD85d 急性髓系白血病流式细胞术

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An Empirical Study of Deep Learning Frameworks for Melanoma Cancer Detection using Transfer Learning and Data Augmentation 12

An Empirical Study of Deep Learning Frameworks for Melanoma ...

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12th IEEE International Conference on Big Knowledge, ICBK 2021

作者： Gangwani, Divya Liang, Qianxin wang, shuwen Zhu, Xingquan Florida Atlantic University Department of Electrical Engineering and Computer Science Boca RatonFL33431 United States

ISBN: (纸本)9781665438582

Melanoma is a type of skin cancer that usually develops rapidly and can spread to other parts of the body, causing death or complication of treatment to a large population. Early detection of Melanoma is the key to increase the chances of patients' survival. While accurate Melanoma diagnosis can be performed through clinical examination and dermatology tests, such procedures are usually time-consuming, costly, and severely delayed due to patients' emotional aspects or other obstacles. Recently, machine learning approaches, deep learning, in particular, have shown great potential in diagnosing Melanoma using images captured through the camera. Accurate detection of Melanoma using low-end images with machine learning delivers a solution for rapid screening of Melanoma without clinical visits or experts. Although many deep learning methods can be applied to Melanoma detection, there exists a large variance between their performance, given that their parameters, such as learning rates, optimizers, batch size, etc., always differ. In this paper, we carry out a systematic study to validate a more precise deep learning framework for detecting Melanoma and other types of skin lesions. A generic Convolutional Neural Network (CNN) is performed, and transfer learning using a pre-trained framework is proved to help improve the detection accuracy. In addition, data augmentation is applied, which improves the model performance. A series of parameters for the learning rates, batch size, and optimizers etc., are tested within the models. Our study shows tremendous improvement in Melanoma detection with higher accuracy, which can be very useful for medical experts to provide efficient Melanoma detection to patients. © 2021 IEEE.

关键词： Convolutional neural networks

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304不锈钢激光抛光的参数优化及抛光层性能分析

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中国激光 2023年第4期50卷 213-222页

作者：李道齐王涛杨紫璠李宇彬王书文河北工业大学机械工程学院天津300401

将光纤脉冲激光器的激光功率、重复频率、离焦量和扫描速度作为影响因素,以AISI304不锈钢的表面粗糙度作为评价指标,设计了激光抛光的正交试验,通过极差分析得到最佳工艺参数组合,在此参数组合下快速将表面粗糙度降低约67%。使用扫描电... 详细信息

将光纤脉冲激光器的激光功率、重复频率、离焦量和扫描速度作为影响因素,以AISI304不锈钢的表面粗糙度作为评价指标,设计了激光抛光的正交试验,通过极差分析得到最佳工艺参数组合,在此参数组合下快速将表面粗糙度降低约67%。使用扫描电子显微镜、X射线衍射仪、电化学工作站等研究了激光抛光前、后的表面性能变化及机理。结果表明:激光抛光后,试样表面硬度降低了约15%,自腐蚀电流密度提高了10.978μA/cm^(2)。抛光层内C、Cr元素含量(质量分数)分别降低了约2.4%和3.2%,平均晶粒尺寸减小了约0.37μm,抛光表面的残余应力约为139.6 MPa。分析得出,随着C元素含量的减少,试样表面浅层金属发生软化,从而表面显微硬度降低;Cr元素含量的减少弱化了不锈钢的钝化能力,同时晶粒细化与残余拉应力的存在为腐蚀性Cl-提供了快速扩散路径,使得试样自腐蚀电流密度明显提高。

关键词：激光技术激光抛光 304不锈钢正交试验参数优化性能分析

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Metabolites and metabolic pathway analysis of sulfadimidine in carp (Cyprinus carpio) based on UHPLC-Q-orbitrap HRMS

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ENVIRONMENTAL RESEARCH 2024年第Part3期252卷 118967页

作者： wang, shuwen Xing, Lihong Sun, Xiaojie Li, Zhaoxin Ding, Tao wang, Jiyao Peng, Jixing Ma, Haijian Lin, Ting Yang, Qingli Chinese Acad Fishery Sci Yellow Sea Fisheries Res Inst Key Lab Testing & Evaluat Aquat Prod Safety & Qual Minist Agr & Rural Affairs 106 Nanjing Rd Qingdao 266071 Peoples R China ANPEL Lab Technol Shanghai Peoples R China Qingdao Agr Univ Coll Food Sci & Engn Qingdao Peoples R China

Sulfadimidine (SM2) is an N-substituted derivative of p-aminobenzenesulfonyl structure. This study aimed to analyze the metabolism of SM2 in carp (Cyprinus carpio). The carps were fed with SM2 at a dose of 200 mg/(kg & sdot;bw) and then killed. The blood, muscle, liver, kidney, gill, other guts, and carp aquaculture water samples were collected. The UHPLC-Q-Exactive Plus Orbitrap-MS was adopted for determining the metabolites of SM2 in the aforementioned samples. Twelve metabolites, which were divided into metabolites in vivo and metabolites in vitro, were identified using Compound Discoverer software. The metabolic pathways in vivo of SM2 in carp included acetylation, hydroxylation, glucoside conjugation, glycine conjugation, carboxylation, glucuronide conjugation, reduction, and methylation. The metabolic pathways in vitro included oxidation and acetylation. This study clarified the metabolites and metabolic pathways of SM2 in carp and provided a reference for further pharmacodynamic evaluation and use in aquaculture.

关键词： Sulfadimidine Cyprinus carpio UHPLC-Q-exactive plus orbitrap-MS Metabolites Metabolic pathways

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Joint Modeling of Operational rules and motion-radiation characteristics of Targets recognition 11

Joint Modeling of Operational rules and motion-radiation cha...

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11th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Automatic Target Recognition and Navigation

作者： Gao, Ting wang, shuwen Air Early Warning Syst Applicat Lab Wuhan 430019 Hubei Peoples R China Air Force Early Warning Acad Wuhan 430019 Hubei Peoples R China

ISBN: (纸本)9781510636361

In order to identify the threat types of small targets in complex sea and sky background according to operational *** GA to modeling operational rules of the targets which include the action trajectory and the action *** the basis of crossover operator,mutation operator of GA to generate the original population. Calculating the optimal individual adaptive value, which take as the discriminating reference *** of adaptive function values of target actual motion trajectory and adaptive function of optimal motion trajectory value results to verify the validity of the *** to particularity of the battlefield,less the priori knowledge of the attack target,can not achieve feature comparison in the cases to *** the operational rules into muti-function optimization problem which is GA skilled.

关键词： Genetic algorithm operational rules small targets recognition

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Reconfigurable Glass Scintillation Screen for Conformal X-Ray Imaging of Shape-Changeable Objects

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LASER & PHOTONICS REVIEWS 2025年第0期

作者： Jiang, Jinke Mao, Xingchu Zheng, Xiaoxin Ye, Xin Li, Cuicui Li, Huimin Ge, Chao Chen, Jiashuai wang, shuwen Zhang, Leilei Cui, Shuangyue Lin, Qinglian Guo, Qing Han, Quanxiang Zhang, Yuhai Tao, Xutang Liu, Yang Shandong Univ Inst Crystal Mat State Key Lab Crystal Mat Jinan 250100 Peoples R China Univ Jinan Inst Adv Interdisciplinary Res iAIR Sch Chem & Chem Engn Jinan 250022 Peoples R China Beijing Univ Technol Inst Laser Engn Sch Phys & Optoelect Engn Beijing 100124 Peoples R China State Key Lab NBC Protect Civilian Beijing 102205 Peoples R China Naval Aeronaut Univ Aviat Operat Serv Coll Yantai 264000 Peoples R China Qilu Inst Technol Coll Biol & Chem Engn Jinan 250200 Peoples R China

As the kernel component of X-ray imaging systems, the mainstream flat-panel detectors suffer from image distortion and blurring when applied to irregular shaped objects, because of the non-conformal collocation between the detector and the object. Herein, by taking advantage of the robust glass-forming capability and versatile processability of (TPT)(2)MnBr4 (TPT = propyltriphenylphosphonium) scintillator, reconfigurable scintillation screen for conformal X-ray imaging is explored. Compared to the flexible polymer screens doped with micro-/nanoparticles, the melt-casted large-area (20 x 20 cm(2)) scintillation screens are homogeneous and immune to light scattering, thus manifesting optical transmittance of above 80% in the 525-800 nm range and high spatial resolution of 25.5 lp mm(-1). More impressively, the screen can be reconfigured in shape near its glass transition temperature, realizing continuous conformance with irregular or changeable objects. Exemplified by conformal X-ray imaging of a flexed elbow joint and a flexible circuit with variational shapes, the reconfigurable screens demonstrate superiorities in both image clarity (15 lp mm(-1) versus 3 lp mm(-1) for the conformal imaging versus non-conformal imaging) and reduction of radiation dosage. That, plus the scalable fabrication process and cost-effective raw materials, will promise reconfigurable glass scintillation screens great potential in customized medical diagnostics and industrial inspection.

关键词： conformal X-ray imaging glass reconfigurability scintillation screen

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Research on Verification Method of Logistics Matching Process Optimization Scheme Based on Timed Petri Net

Research on Verification Method of Logistics Matching Proces...

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IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC)

作者： Zhaoyu Chen shuwen wang Yingzi Song Army Logistics Academy Chongqing China

ISBN: (纸本)9781665479691

Optimizing the logistics matching process can enhance user satisfaction, enhance order processing capability and improve the degree of logistics automation, which is of great significance to promote economic and social development. After optimizing the logistics matching process, it is difficult to verify the feasibility of the optimization scheme in a short time through practice due to the rapid changes in the market. The Timed Petri Net theory, with the introduction of time parameters, can be used to model and simulate different schemes of the logistics matching process. By comparing and analyzing the simulation results of the optimization scheme and the original scheme, a conclusion on the verification of the optimization scheme is drawn, which provides a new idea for the feasibility verification of the logistics matching process optimization scheme.

关键词： Industries Economics Automation Simulation Petri nets Process control Software

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An Integrated Observing Technic for Collaborative Learning: The Multimodal Learning Analytics Based on the Video Coding and EEG Data Mining

An Integrated Observing Technic for Collaborative Learning: ...

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IEEE International Conference on Engineering, Technology and Education (IEEE TALE)

作者： Feng, Shuo wang, shuwen Chen, Yufei Zhang, Sixu Zhang, Lishan Cent China Normal Univ Fac Artificial Intelligence Educ Wuhan Peoples R China

ISBN: (纸本)9781665436878

Observing collaborative learning in real contexts has always been a problem because of the difficulty of representing the learning engagement, a multi-facet construct including behavior, cognition and emotion. This study adopts multimodal learning analytics to tackle it. Specifically, it is an integrated observation technic to represent it at both macro and micro levels through video coding and electroencephalogram (EEG) data mining. The analysis of a quasi-experiment was conducted to justify the feasibility. And this study also finds that learning engagement is related with the learning gain in collaborative learning.

关键词： collaborative learning muItimodal learning analytics video coding EEG data mining

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