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Cotton leaf disease detection method based on improved SSD

International Journal of Agricultural and Biological Engineering 2024年第2期17卷 211-220页

作者： Wenjuan Guo Shuo feng quan feng Xiangzhou Li Xueze Gao College of Mechanical and Electrical Engineering Gansu Agricultural UniversityLanzhou 730070China School of Cyber Security Gansu University of Political Science and LawLanzhou 730070China College of Mechanical and Electrical Engineering Sichuan Agricultural UniversityYa’an 625014China

In response to the problems of numerous model parameters and low detection accuracy in SSD-based cotton leaf disease detection methods,a cotton leaf disease detection method based on improved SSD was proposed by combining the characteristics of cotton leaf ***,the lightweight network MobileNetV2 was introduced to improve the backbone feature extraction network,which provides more abundant semantic information and details while significantly reducing the amount of model parameters and computing complexity,and accelerates the detection speed to achieve real-time ***,the SE attention mechanism,ECA attention mechanism,and CBAM attention mechanism were fused to filter out disease target features and effectively suppress the feature information of jamming targets,generating feature maps with strong semantics and precise location *** test results on the self-built cotton leaf disease dataset show that the parameter quantity of the SSD_MobileNetV2 model with backbone network of MobileNetV2 was 50.9%of the SSD_VGG model taking VGG as the *** with SSD_VGG model,the P,R,F1 values,and mAP of the MobileNetV2 model increased by 4.37%,3.3%,3.8%,and 8.79%respectively,while FPS increased by 22.5 frames/*** SE,ECA,and CBAM attention mechanisms were introduced into the SSD_VGG model and SSD_MobileNetV2 *** gradient weighted class activation mapping algorithm to explain the model detection process and visually compare the detection results of each *** results indicate that the P,R,F1 values,mAP and FPS of the SSD_MobileNetV2+ECA model were higher than other models that introduced the attention ***,this model has less parameter with faster running speed,and is more suitable for detecting cotton diseases in complex environments,showing the best detection ***,the improved SSD_MobileNetV2+ECA model significantly enhanced the semantic information of the shallow feature map of the model,and has a goo

关键词： cotton disease detection SSD MobileNetV2 attention mechanism

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Inflammatory Factor IL1αInduces Aberrant Astrocyte Proliferation in Spinal Cord Injury Through the Grin2c/Ca^(2+)/CaMK2b Pathway

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Neuroscience Bulletin 2024年第4期40卷 421-438页

作者： Yu Xia Lu Ding Changlin Zhang Qi Xu Ming Shi Tianshun Gao feng-quan Zhou David Y.B.Deng Scientific Research Center The Seventh Affiliated Hospital of Sun Yat-sen UniversityShenzhen518107China Department of Gynecology The Seventh Affiliated Hospital of Sun Yat-sen UniversityShenzhen518107China Pelvic Floor Disorders Center The Seventh Affiliated Hospital of Sun Yat-sen UniversityShenzhen518107China Big Data Center The Seventh Affiliated Hospital of Sun Yat-sen UniversityShenzhen518107China Sir Run Run Shaw Hospital Zhejiang University School of MedicineHangzhou310016China Orthopaedic and Neurological Repair Center The Seventh Affiliated Hospital of Sun Yat-sen UniversityShenzhen518107China

Spinal cord injury(SCI)is one of the most devastating traumas,and the aberrant proliferation of astrocytes usually causes neurological ***,the mechanism underlying astrocyte over-proliferation after SCI is ***2c(glutamate ionotropic receptor type 2c)plays an essential role in cell *** bioinformatic analysis indicated that Grin2c and Ca^(2+)transport functions were inhibited in astrocytes after *** of Grin2c stimulated astrocyte proliferation by inhibiting the Ca^(2+)/calmodulin-dependent protein kinase 2b(CaMK2b)pathway in *** screening different inflammatory factors,interleukin 1α(IL1α)was further found to inhibit Grin2c/Ca^(2+)/CaMK2b and enhance astrocyte proliferation in an oxidative damage *** of IL1αusing neutralizing antibody resulted in increased Grin2c expression and the inhibition of astrocyte proliferation ***,this study suggests that IL1αpromotes astrocyte proliferation by suppressing the Grin2c/Ca^(2+)/CaMK2b pathway after SCI,revealing a novel pathological mechanism of astrocyte proliferation,and may provide potential targets for SCI repair.

关键词： IL1α Grin2c Astrocyte Spinal cord injury

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Cetuximab combined with chemotherapy for simultaneous esophageal squamous cell carcinoma and colon adenocarcinoma:A case report

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World Journal of Clinical Cases 2024年第15期12卷 2649-2654页

作者： Xin-Xin Luo Yu-Xuan Du Qi-Qing Zhang Lin Zhang Shu-Ying Zeng Zhi-Hong Yu Peng Shen Zheng-quan feng The Second School of Clinical Medicine Zhejiang Chinese Medical UniversityHangzhou310053Zhejiang ProvinceChina Department of Oncology Tongde Hospital of Zhejiang ProvinceHangzhou 310012Zhejiang ProvinceChina Department of Medical Oncology The First Affiliated HospitalMedical College of Zhejiang UniversityHangzhou 310003Zhejiang ProvinceChina

BACKGROUND Multiple primary carcinomas(MPCs)are defined as two or more independent primary cancers that occur simultaneously or sequentially in the same *** MPCs are rarer than solitary cancers or metachronous *** diagnoses of synchronous MPCs and the choice of treatment are critical for successful outcomes in these *** SUMMARY A 64-year-old patient presented with dysphagia,without obvious cause.A diagnosis of synchronous esophageal squamous cell carcinoma and colon adenocarcinoma with liver metastasis was confirmed based on examination and laboratory *** multi-disciplinary consultations,combination chemotherapy(a 3-wk cycle with oxaliplatin 212 mg administered on day 1 and capecitabine 1.5 g twice daily on days 1-14)and esophageal cancer radiotherapy were *** on the results of genetic testing,we switched to a regimen of leucovorin+fluorouracil+oxaliplatin and cetuximab regimen for 8 ***,capecitabine and bevacizumab were administered until the most recent follow-up,at which the tumor remained *** Successful cetuximab chemotherapy treatment provides a reference for the nonoperative and homogeneous treatment of different pathological types of synchronous MCPs.

关键词： Synchronous multiple primary carcinoma Esophageal squamous cell carcinoma Colon adenocarcinoma Cetuximab Chemotherapy Case report

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“Steric Armor”Strategy of Blue Fluorescent Emitters against Photooxidation-Induced Degradation

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Chinese Journal of Chemistry 2024年第11期42卷 1223-1229页

作者： Sha-Sha Wang Jing-Rui Zhang Kuan-De Wang Hao-Ran Li Peng-Hui Meng Yang Zhou Xiang Yu Ying Wei quan-You feng Yu-He Kan Ling-Hai Xie Centre for Molecular Systems and Organic Devices(CMSOD) State Key Laboratory of Organic Electronics and Information Displays&Institute of Advanced MaterialsJiangsu National Synergetic Innovation Center for Advanced Materials(SICAM)Nanjing University of Posts&TelecommunicationsNanjingJiangsu210023 China Jiangsu Key Laboratory for Chemistry of Low-Dimensional Materials School of Chemistry and Chemical EngineeringHuaiyin Normal UniversityHuai'anJiangsu223300 China

Stability against oxygen is an important factor affecting the performance of organic semiconductor *** photooxidation stability can prolong the service life of the device and maintain the mechanical and photoelectric properties of the ***,various encapsulation methods from molecular structure to macroscopic device level are used to improve photooxidation ***,we adopted a crystallization strategy to allow 14H-spiro[dibenzo[c,h]acridine-7,9′-fluorene](SFDBA)to pack tightly to resist fluorescence decay caused by *** this case,the inert group of SFDBA acts as a“steric armor”,protecting the photosensitive group from being attacked by ***,compared with the fluorescence quenching of SFDBA powder under 2 h of sunlight,SFDBA crystal can maintain its fluorescence emission for more than 8 h under the same ***,the photoluminescence quantum yields(PLQYs)of the crystalline film is 327%higher than that of the amorphous *** shows that the crystallization strategy is an effective method to resist oxidation.

关键词： Organic semiconductor Photooxidation Spirocyclic aromatic hydrocarbons Crystal engineering Fluorescence

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家族企业更重视员工利益吗?——基于劳动力成本粘性的考察视角

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管理科学学报 2024年第4期27卷 65-79页

作者：权小锋朱宇翔张华玉苏州大学商学院苏州215021 云南财经大学会计学院昆明650221

家族企业追求“基业长青”,其在对待员工这一重要利益相关者时,是否会表现出显著的行为偏好和特征?本文切入劳动力成本粘性的研究视角,以2003年—2019年民营上市公司为对象,考察了家族企业劳动力成本的决策行为表现及其机理.研究结果表... 详细信息

家族企业追求“基业长青”,其在对待员工这一重要利益相关者时,是否会表现出显著的行为偏好和特征?本文切入劳动力成本粘性的研究视角,以2003年—2019年民营上市公司为对象,考察了家族企业劳动力成本的决策行为表现及其机理.研究结果表明,与非家族企业相比,家族企业进行劳动力成本调整时会表现出更强的粘性特征,且随着家族持股水平提升、进入代际传承阶段以及董事会中家族成员占比提高,劳动力成本粘性现象会更加突出.进一步研究发现:维护员工关系和保持良好声誉是造成这一现象的主要原因;家族企业中的劳动力成本粘性具体表现为用工粘性,而非薪酬粘性;行业竞争程度和非劳动密集性都会加剧家族企业的劳动力成本粘性;家族企业承担适当的劳动力成本粘性还有助于促进生产效率,实现劳资“互惠”.本文既丰富了家族企业行为特征和成本粘性影响因素的相关研究,也为处理劳资关系和实现共同富裕提供了一定的现实启示.

关键词：家族企业员工关系劳动力成本成本粘性

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大型养路机械安全制动问题的探讨

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内燃机与配件 2024年第4期 116-118页

作者：山全峰中国铁建高新装备股份有限公司北京100070

安全制动是大型养路机械制动系统的常用设计,安全制动设置的初衷是防止车辆运行过程中,整机突然失电,为解决大型养路机械不能安全停车的问题来设计的。后来也用作联锁车辆走行信号、双端切换时有效停车以及增加停车制动压力等。在调试... 详细信息

安全制动是大型养路机械制动系统的常用设计,安全制动设置的初衷是防止车辆运行过程中,整机突然失电,为解决大型养路机械不能安全停车的问题来设计的。后来也用作联锁车辆走行信号、双端切换时有效停车以及增加停车制动压力等。在调试运用偶尔出现无动力挂运时,切除安全制动后会出现制动压力累积和缓解作用不彻底的故障。针对该问题,本文从气动元器件的原理出发,结合实际使用中的工况,分析问题出现的原因。然后对比国内外研究方法,提出针对性的解决方案,并运用和实施。文章旨在通过探究大型养路机械安全制动的使用问题,优化设计方法,提高设计能力。

关键词：安全制动压力累积缓解作用优化设计

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ZIF-8改性细菌纤维素膜的制备及对盐酸四环素吸附性能研究

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功能材料 2024年第7期55卷 7216-7223页

作者：杨旭汪邓兵刘祖一凤权安徽工程大学安徽省先进纤维材料工程研究中心安徽芜湖241000

使用生物基有机材料细菌纤维素(BC)作为载体,沸石咪唑骨架-8(ZIF-8)为客体材料,采用一步真空抽滤法,制备BC/ZIF-8复合纤维膜。通过FT-IR、XRD、SEM、EDS、BET等对制备的复合纤维膜进行了结构表征,考察了接触时间、温度、离子浓度,底物... 详细信息

使用生物基有机材料细菌纤维素(BC)作为载体,沸石咪唑骨架-8(ZIF-8)为客体材料,采用一步真空抽滤法,制备BC/ZIF-8复合纤维膜。通过FT-IR、XRD、SEM、EDS、BET等对制备的复合纤维膜进行了结构表征,考察了接触时间、温度、离子浓度,底物的初始浓度对复合纤维膜吸附盐酸四环素(TC)的影响。结果表明改性后的复合纤维膜较初始BC膜具有更丰富的孔结构,氮气吸附-脱附曲线测得比表面积从6.2415 m^(2)/g增加到265.8820 m^(2)/g。吸附实验表明,离子浓度对吸附影响较小,吸附过程符合准二级动力学模型和Langmuir等温吸附模型,TC主要以单层吸附的形式吸附到在BC/ZIF-8复合纤维膜上,理论最大吸附量为438.59 mg/g。

关键词：细菌纤维素沸石咪唑骨架真空抽滤法吸附盐酸四环素

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基于机器学习和无人机高光谱遥感的马铃薯SPAD值估算

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河南农业科学 2024年第8期53卷 133-144页

作者：陈圯凡郭发旭冯全甘肃农业大学机电工程学院甘肃兰州730070

为实现大田马铃薯SPAD值的快速、无损检测,采用无人机高光谱成像技术建立马铃薯关键生长时期SPAD值的定量检测模型。在大田条件下获得了马铃薯块茎形成期和彭大期的无人机高光谱影像,并对高光谱数据采用数学变换方法处理;接着,通过竞争... 详细信息

为实现大田马铃薯SPAD值的快速、无损检测,采用无人机高光谱成像技术建立马铃薯关键生长时期SPAD值的定量检测模型。在大田条件下获得了马铃薯块茎形成期和彭大期的无人机高光谱影像,并对高光谱数据采用数学变换方法处理;接着,通过竞争性自适应重加权采样(CARS)、无信息变量去除(UVE)和随机蛙跳(RF)算法筛选与SPAD值相关的特征波段;随后,使用偏最小二乘回归(PLSR)、支持向量回归(SVR)和反向传播(BP)3种机器学习算法建立马铃薯SPAD值估算模型。不同算法筛选的特征波段存在差异,CARS算法能有效识别敏感光谱特征,降低特征数量,提升估测精度。基于不同数学变换和特征波段筛选算法建立的马铃薯SPAD值估测模型中,1/R-CARS-SVR模型对马铃薯SPAD值具有较强的估测能力,模型建模集和验证集R~2分别为0.88和0.84,RMSE均为0.39。采用1/R-CARS-SVR模型逐点计算研究区马铃薯SPAD值,绘制了SPAD值反演图,发现块茎膨大期的SPAD值普遍高于块茎形成期。

关键词：马铃薯 SPAD 无人机高光谱竞争性自适应重算法支持向量机

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数字化转型期虚拟教研室建设的现实困境与突围路径

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黑龙江高教研究 2024年第10期42卷 145-151页

作者：刘怀金谢泉峰董艳南宁师范大学广西南宁530100 湖南第一师范学院湖南长沙410205 北京师范大学北京100875

数字化转型为教育教学改革带来了机遇和挑战。虚拟教研室是传统教研室在数字化转型期开展协同教研的新形态,建设虚拟教研室是基层教研组织转型的现实选择。顺应教育数字化转型的大趋势,分析虚拟教研室建设在新时代的价值和意义,探讨虚... 详细信息

数字化转型为教育教学改革带来了机遇和挑战。虚拟教研室是传统教研室在数字化转型期开展协同教研的新形态,建设虚拟教研室是基层教研组织转型的现实选择。顺应教育数字化转型的大趋势,分析虚拟教研室建设在新时代的价值和意义,探讨虚拟教研室建设的现实困境与突围路径,以期为高校虚拟教研室的高质量建设、可持续发展提供理论参考。研究发现:传统惯性的教研理念,制约虚拟教研室功能守正创新;结构单一的管理模式,影响虚拟教研室资源共建共享;因循的运行机制,妨碍虚拟教研室建设与时俱进。提出以重构建设理念、优化管理模式、完善运行机制等建设虚拟教研室的突围路径,保障虚拟教研室高质量建设、可持续发展。

关键词：数字化转型虚拟教研室建设现实困境突围路径

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Learning multi-tasks with inconsistent labels by using auxiliary big task

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Frontiers of Computer Science 2023年第5期17卷 119-132页

作者： quan feng Songcan CHEN College of Computer Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing 211106China MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing University of Aeronautics and AstronauticsNanjing 211106China

Multi-task learning is to improve the performance of the model by transferring and exploiting common knowledge among *** MTL works mainly focus on the scenario where label sets among multiple tasks(MTs)are usually the same,thus they can be utilized for learning across the ***,the real world has more general scenarios in which each task has only a small number of training samples and their label sets are just partially overlapped or even *** such MTs is more challenging because of less correlation information available among these *** this,we propose a framework to learn these tasks by jointly leveraging both abundant information from a learnt auxiliary big task with sufficiently many classes to cover those of all these tasks and the information shared among those partiallyoverlapped *** our implementation of using the same neural network architecture of the learnt auxiliary task to learn individual tasks,the key idea is to utilize available label information to adaptively prune the hidden layer neurons of the auxiliary network to construct corresponding network for each task,while accompanying a joint learning across individual *** experimental results demonstrate that our proposed method is significantly competitive compared to state-of-the-art methods.

关键词： multi-task learning inconsistent labels auxiliary task

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