Preparation of novel reagents 4-alkoxytrityl chlorides and their reaction with methyl Α-d-glucoside

A series of novel 4-O-alkoxytrityl chlorides (1) with different chain lengths was synthesized as a novel reagent for obtaining 6-O-alkylated cellulose with high regioselectivity via trityl groups in one reaction step without the use of any protective groups. These chlorides were reacted with methyl -d-glucoside, which was used as a model compound, to examine the reactivities toward the primary hydroxyl groups of cellulose to afford a series of 6-O-alkylated methyl -d-glucosides in high yields. The product compounds were found to have interesting solubilities and thermal properties. Thus, newly prepared trityl chloride derivatives were found to be useful regioselective derivatization reagents on the primary hydroxyl group in carbohydrates, especially in cellulose.     

某牛场粪源大肠杆菌0157∶H7的分离鉴定

为了解重庆市某牛场牛群大肠杆菌O157∶H7的感染情况,我们以牛场犊牛为研究对象,采集其新鲜粪便,经LB培养基增菌培养、免疫磁珠富集后,在山梨醇麦康凯琼脂上划线培养,最后PCR扩增eaeA基因目的片段,以此分离鉴定粪源大肠杆菌O157∶H7。结果显示：在所采集的39份犊牛粪便样品中,分离得到一株符合大肠杆菌O157∶H7生长特点且含有eaeA基因的菌株。     

陕西富硒与非富硒地区山羊组织硒含量和GPX-7基因表达的比较

为了探讨陕西紫阳县(富硒地区)山羊各组织中微量元素硒的含量和谷胱甘肽过氧化酶7(Glutathione Peroxidase 7,GPX-7)基因的表达情况,以及组织中的硒沉积量对GPX-7基因表达的影响。利用原子荧光光谱法对年龄相仿、体质量相近的紫阳县双安镇(n=7)和广成镇(n=7)和宝鸡市陈仓区白山羊体内硒含量进行了测定;同时运用实时荧光定量PCR(qRT-PCR)相对定量技术测定GPX-7基因mRNA的相对表达量。紫阳双安镇山羊硒含量显著高于紫阳广成镇(P0.05),同时紫阳县均显著高于宝鸡陈仓区(P0.05);但是紫阳双安镇与紫阳广成镇山羊肺脏中硒含量差异不显著(P0.05)。GPX-7基因在各组织器官中广泛表达,但是不同地区的山羊表现出不同的组织差异性。紫阳双安镇山羊心脏、脾脏、肾周脂肪和背最长肌组织中mRNA水平与紫阳广成镇差异不显著(P0.05),但是紫阳地区均显著高于宝鸡陈仓区(P0.05)。在肺脏、肾脏、股二头肌和淋巴组织中,来自不同地区的山羊GPX-7基因mRNA的表达量地差异均两两显著(P0.05),其中紫阳广成镇山羊肺脏的表达量显著高于其他两个地区(P0.05)。由此可见,山羊各组织器官中微量元素硒的沉积量和GPX-7基因mRNA的表达量表现出较为一致的地域趋势,即紫阳双安镇紫阳广成镇宝鸡陈仓区,这表明微量元素硒上调GPX-7基因的表达,但是具有组织差异性。     

The impact of weight loss on circulating cytokines in Beagle dogs

Chronic low-grade inflammation in obesity is characterized by an increased production of pro-inflammatory and chemotactic cytokines that are contributing to insulin resistance and related co-morbidities. Cytokines act in networks and exhibit pleiotropic effects so we investigated the circulating levels of a wide array of cytokines (pro and anti-inflammatory, chemotactic and growth factors) in a canine model of weight loss. The dogs served as their own control in order to study the impact of weight loss independent of potential confounding factors, such as history of excess weight or gender. While low-grade inflammation had been previously investigated in obese dogs by measuring changes in adipokines, acute phase proteins and key pro-inflammatory cytokines, to the best of our knowledge this is the first study to evaluate how weight loss impacts a wide array of circulating cytokines.Eighteen overweight Beagle dogs were recruited (six spayed females and 12 neutered males), and none of them were grossly obese according to the body condition score (BCS). All the dogs reached an ideal weight by the end of the program. Parameters were assessed before (baseline), at mid-point (month 3) and at end-point (month 6). Plasma GM-CSF, IL-2, Il-4, IL-6, IL-7, IL-8, IL-10, IL-15, IL-18, IFNγ, IP-10, TNFα, monocyte chemotactic protein 1 (MCP-1), keratinocyte chemokine (KC) were measured with canine multiplex immunoassays. Fat mass was assessed by dual energy X-ray absorption (DEXA).Several cytokines decreased throughout the weight loss program (p < 0.01) and were correlated with the percentage of fat measured by DEXA (p < 0.05): chemotactic (MCP-1), growth factors (GM-CSF, IL-7 and IL-2), and pro-inflammatory (KC and IL-18). We could not show trends for several cytokines, possibly because their level may be lower than the assay sensitivity: anti-inflammatory (IL-4 and IL-10), and pro-inflammatory (IL-6 and TNFα).In conclusion, while our findings for several pro-inflammatory and chemotactic cytokines are in accordance with human and rodent studies, we may have identified additional cytokines, such as growth factors, related to obesity-induced low-grade inflammation. Considering the weight loss was enabled by an adjusted diet, the role of this association of cytokines in insulin resistance and related co-morbidities needs to be clarified. Our results could help better understand the cytokine biology in dogs, and as such are relevant for further elucidating the relationship between immune function and metabolism/nutrition.     

microRNA let-7调控动物个体发育的研究进展

microRNA(miRNA)是一类广泛存在于多细胞动物中的进化保守的大小为18~25nt的非编码小分子RNA,可以通过与靶基因mRNA的非编码区(3′UTR)结合导致mRNA降解,或阻断mRNA翻译而调节基因表达。let-7是在线虫中发现的具有转录后调节功能的小分子RNA,具有高度的保守性,研究发现,let-7参与动物个体多个器官组织的发育过程。作者综述了近年来let-7参与调控脑、神经系统、心肺系统和肌肉发育等组织器官的研究成果,初步阐述了let-7调控组织器官发育的作用机制,以期为进一步探索let-7在动物体内的功能奠定基础。     

基于Faster-NAM-YOLO的黄瓜霜霉病菌孢子检测

黄瓜霜霉病由古巴假霜霉病菌孢子通过侵染引起,严重影响了黄瓜的品质和产量;病菌孢子数量与病情严重度相关,因此建立快速、简便和高效的病菌孢子定量检测方法,实现黄瓜霜霉病防治关口前移。基于YOLO v5模型提出了一种基于Faster-NAM-YOLO的黄瓜霜霉病菌孢子定量检测模型,该模型首先提出了一种特征提取模块C3＿Faster,使用C3＿Faster替换YOLO v5中的C3模块,有效降低了模型参数计算量和模型深度,提升了对黄瓜霜霉病菌孢子检测速度和精度;其次在主干网络中加入了NAM注意力模块,通过应用权重稀疏性惩罚抑制不显著权重,进而提高模型的特征提取能力和计算效率;最后实现了对黄瓜霜霉病菌孢子的定量检测。实验结果表明,Faster-NAM-YOLO模型在测试集上mAP@0.5和mAP@0.5:0.95分别达到95.80%和60.90%,对比原始YOLO v5模型分别提升1.80、1.20个百分点,较原始YOLO v5模型内存占用量和每秒浮点运算次数分别减少5.27 MB和1.49×10¹⁰;通过与YOLO v3、THP-YOLO v5、YOLO v7、YOLO ...     

基于改进YOLO v4的生猪耳根温度热红外视频检测方法

基于热红外视频的生猪体温检测过程中,视频中保育期生猪头部姿态变化大,且耳根区域小,导致头部和耳根区域定位精度低,影响生猪耳根温度的精准检测。针对以上问题,本文提出了一种基于改进YOLO v4(Mish Dense YOLO v4,MD-YOLO v4)的生猪耳根温度检测方法,构建了生猪关键部位检测模型。首先,在CSPDarknet-53主干网络中,添加密集连接块,以优化特征转移和重用,并将空间金字塔池化(Spatial pyramid pooling, SPP)模块集成到主干网络,进一步增加主干网络感受野;其次,在颈部引入改进的路径聚合网络(Path aggregation network, PANet),缩短多尺度特征金字塔图的高、低融合路径;最后,网络的主干和颈部使用Mish激活函数,进一步提升该方法的检测精度。试验结果表明,该模型对生猪关键部位检测的mAP为95.71%,分别比YOLO v5和YOLO v4高5.39个百分点和6.43个百分点,检测速度为60.21 f/s,可满足实时检测的需求;本文方法对热红外视频中生猪左、右耳根温度提取的平均绝对误差分别为0.26℃和0.21℃...     

基于改进YOLO v7的轻量化樱桃番茄成熟度检测方法

为在自然环境下自动准确地检测樱桃番茄果实的成熟度,实现樱桃番茄果实自动化采摘,根据成熟期樱桃番茄果实表型特征的变化以及国家标准GH/T 1193—2021制定了5级樱桃番茄果实成熟度级别(绿熟期、转色期、初熟期、中熟期和完熟期),并针对樱桃番茄相邻成熟度特征差异不明显以及果实之间相互遮挡问题,提出一种改进的轻量化YOLO v7模型的樱桃番茄果实成熟度检测方法。该方法将MobileNetV3引入YOLO v7模型中作为骨干特征提取网络,以减少网络的参数量,同时在特征融合网络中加入全局注意力机制(Global attention mechanism, GAM)模块以提高网络的特征表达能力。试验结果表明,改进的YOLO v7模型在测试集下的精确率、召回率和平均精度均值分别为98.6%、98.1%和98.2%,单幅图像平均检测时间为82 ms,模型内存占用量为66.5 MB。对比Faster R-CNN、YOLO v3、YOLO v5s和YOLO v7模型,平均精度均值分别提升18.7、0.2、0.3、0.1个百分点,模型内存占用量也最少。研究表明改进的YOLO v7模型能够为樱桃番茄果实的自...     

低数据集下基于ASPP-YOLO v5的苋菜识别方法研究

针对田间苋菜识别存在准确率低、样本数量少等问题,通过引入扩展感受野和提取上下文信息的ASPP注意力机制改进YOLO v5苋菜识别模型,在低数据集下改进后的模型能够显著提高F1值和mAP。实验结果表明,在低数据集下引入ASPP注意力机制后苋菜识别模型F1值提高13个百分点、mAP提高18.6个百分点。采用横向录制的方式苋菜被检测到的概率提高15.4个百分点。因此,本研究为苋菜或其他杂草在低数据集下的识别提供了有效的方法,为农业领域的杂草识别和管理研究提供了参考。     

基于改进YOLO v7的生猪群体体温热红外自动检测方法

针对当前生猪规模化养殖过程中基于热红外技术的生猪体温测量效率低的问题,提出了一种基于改进YOLO v7的生猪群体体温检测方法。改进YOLO v7算法在Head层引入VoV-GSCSP结构,降低网络结构复杂度;使用内容感知特征重组(Content-aware reassembly of features,CARAFE)替换模型原始上采样算子,提高特征图放大后的品质,强化生猪头部区域有效特征;引入感受野增强模块（Receptive field enhancement module,RFE）,增强特征金字塔对生猪头部特征的提取能力。本文改进YOLO v7算法对于生猪头部的检测精确率为87.9%,召回率为92.5%,平均精度均值（Mean average precision,mAP）为94.7%。与原始YOLO v7相比,精确率提高3.6个百分点,召回率提高7.0个百分点,mAP提高3.6个百分点。该方法首先自动检测生猪头部区域,再利用头部最大温度与耳根温度的高相关性,最终自动获取生猪体温。温度提取平均绝对误差仅为0.16℃,检测速度为222f/s,实现了生猪群体体温的实时精准检测。综合上述试验结果表明,该方法能够自动定位生猪群体的头部区域,满足生猪群体体温测定的高效和高精度要求,为群养生猪体温自动检测提供了有效的技术支撑。