Outbreak of anaplasmosis associated with novel genetic variants of Anaplasma marginale in a dairy cattle

During early lactation, dairy cows may present a transient immunosuppressive state and develop anaplasmosis caused by Anaplasma marginale. In this study, clinical anaplasmosis in dairy cattle in the Thrace region of Turkey was investigated with respect to within-herd prevalence, vertical transmission, and genetic diversity. In March and September 2015, thirty lactating cows showed primary clinical signs of anaplasmosis, including fever, anaemia, decreased milk yield, anorexia, and laboured breathing. Symptoms disappeared in most cows after administration of long-acting oxytetracycline, but nine of them (30%) died. Following diagnosis based on clinical signs, microscopy and molecular findings, blood samples were collected from apparently healthy lactating cows (n = 184), pregnant heifers (n = 39) and newborn calves (n = 24). DNA was extracted from each sample and analyzed for the presence of major surface proteins (MSPs) of A. marginale, followed by sequencing to assess diversity of isolates. Microscopic examination of erythrocytes revealed A. marginale inclusion bodies in symptomatic cows. Examination of thin blood smears showed 3.8% of the lactating, clinically asymptomatic, cows to be infected with A. marginale, while nPCR detected 31.0% positive. A. marginale infection was not detected in pregnant heifers by either method. Congenital infection was found in one calf by nPCR. This is the first report of transplacental transmission of A. marginale in Turkey. The MSP4 sequence analyses showed high genetic diversity among the isolates, presenting 97.6-99.6% homology at the amino acid level. The sequences of MSP1a amplicons revealed genetic diversity providing three new tandem repeats.     

响应面法优化绿色木霉产孢子固体发酵培养基

为探讨绿色木霉固体发酵产孢子的最佳发酵培养基。运用响应面法设计试验,筛选出主要影响因子碳酸钙、硫酸铵及氯化锰,以孢子量为响应值建立二次回归方程,并借助Design Expert 8.0.6软件进行分析数据并确定优化条件。结果表明,在温度28℃,接种量15%,料水比1:0.70的培养条件下发酵7天,孢子量为8.505×10⁹CFU/g。通过优化,最终确定最佳发酵配方为：麸皮（过40目筛）50%,稻壳粉（过20目筛）30%,玉米粉（过80目筛）20%,硫酸铵1.08%,黄豆饼粉2.00%,玉米浆干粉2.00%,碳酸钙0.55%,氯化锰0.37%,pH 6.0~7.0。该配方所用原料廉价易得,发酵水平高,为大规模工业化生产提供保障。     

涂饰工艺对木质体育地板表面滑动摩擦系数的影响研究

采用正交试验法,研究涂饰工艺对木质体育地板表面滑动摩擦系数的影响,试验因素为面漆涂饰次数、涂料种类和面板砂光目数,试验测试指标为表面滑动摩擦系数。方差分析结果表明,涂料种类与测试指标呈极为显著的影响关系,水性面漆涂饰的试件表面滑动摩擦系数相对较高;其他2个因素与测试指标之间无显著影响关系。砂光目数极可能对表面滑动摩擦系数有一定影响,但这一影响关系被底漆涂饰工艺所覆盖,因此所有试件的表面滑动摩擦系数全部达到了国家标准的要求。     

南京市能见度变化趋势及其影响因素

利用1980~2013年南京国家基本气象站的地面常规气象要素和能见度观测资料,剔除相对湿度和天气现象对能见度的影响,采用等级分析法、"非常好"能见度出现频率法、累积百分率法、Ridit中值分析等方法,分析了南京地区大气能见度的年际和季节变化趋势;并利用偏相关分析法分析了能见度与气温、气压、平均风速和相对湿度的相关关系。结果表明,能见度有明显日变化和季节变化,一天中,8:00最差,14:00最好;一年之中,能见度夏季最好,冬季最差。1980~1984年南京能见度呈上升趋势,1985~2004年呈波动下降趋势,2005~2013年则呈缓慢上升趋势;"较差"和"一般"能见度出现频率呈现上升趋势,"较好"能见度出现频率则明显下降。能见度水平逐年代下降但降幅减小;能见度等级分布的季节差异逐年代减小。能见度与平均风速呈正相关,与相对湿度呈负相关。由于南京地区气候条件的影响,能见度与气压和气温均存在季节性差异,能见度与气压在冬季呈较好的正相关,与气温夏季呈正相关、冬季呈负相关。     

响应面法优化香水莲花甾醇的超声提取工艺

为了分析香水莲花的植物甾醇含量并优化其超声提取工艺,采用高效液相色谱（HPLC）法测定香水莲花中菜籽甾醇、菜油甾醇和β-谷甾醇的含量,再以上述3种甾醇提取量为评价指标,对液料比、超声提取温度和超声提取时间进行单因素试验,在此基础上,再采用Box-Behnken响应面法优化香水莲花甾醇提取工艺并进行验证。结果表明,影响香水莲花甾醇提取量的主次因素是液料比>提取时间>提取温度,其最优工艺条件为以95%乙醇为提取溶剂、超声功率100 W、液料比30∶1（mL/g）、超声提取温度60 ℃、超声提取时间30 min;在最优工艺条件下进行验证实验,得出香水莲花中甾醇含量为菜籽甾醇64.61 mg/100 g、菜油甾醇40.77 mg/100 g、β-谷甾醇99.04 mg/100 g,总甾醇204.42 mg/100 g,综合评分与预测值相比差异不显著（P<0.05）。研究结果为香水莲花资源的开发和利用提供参考。     

叶面阻隔联合土壤钝化对水稻镉吸收转运的影响

为了探讨叶面阻隔联合钝化对水稻镉吸收转运的影响，实现重金属污染农田稻米安全生产，采用大田试验的方式，选用氨基酸螯合硒营养液肥和活性硅肥作为叶面阻隔剂，硅钙肥和贝壳粉作为土壤钝化剂，在田间共设置7个处理：水稻常规种植（CK），叶面喷施氨基酸螯合硒营养液肥（Se400），叶面喷施活性硅肥（Si1000），叶面喷施氨基酸螯合硒营养液肥的同时分别基施硅钙肥（Se400GG）和贝壳粉（Se400BK），叶面喷施活性硅肥的同时分别基施硅钙肥（Si1000GG）和贝壳粉（Si1000BK）。水稻成熟后对水稻籽粒、颖壳、秸秆、根四部分的镉含量进行检测。结果表明：与对照处理相比，各处理水稻籽粒中镉含量均不同程度降低，且叶面阻隔联合土壤钝化处理的效果更好。Se400GG处理水稻籽粒镉含量下降最明显，降幅为88.13%，水稻籽粒镉含量为（0.18±0.01）mg·kg^-1，低于大米镉限量值0.2 mg·kg^-1（GB 2762—2017）；其次是Si1000GG处理，水稻籽粒镉含量下降了56.77%；单独叶面阻隔的两个处理Si1000和Se400效果较差，水稻籽粒镉含量仅下降了18.28%和9.03%。水稻籽粒镉含量降低的主要原因是水稻各部位的富集系数和转运系数减小，Se400GG和Si1000GG处理水稻根到秸秆的转运系数下降了84.93%和72.60%，水稻籽粒的富集系数下降了87.88%和56.06%，而Se400和Si1000处理水稻根到秸秆的转运系数仅下降46.58%和38.36%，水稻籽粒的富集系数仅下降12.12%和15.91%。可见，叶面阻隔联合钝化技术，尤其是叶面喷施氨基酸螯合硒营养液肥的同时基施硅钙肥能更有效地阻隔水稻对镉的吸收和转运，降低水稻籽粒镉的含量，是值得在镉低污染稻田推广应用的技术。     

基于CA-Markov模型的甘州区土地利用变化预测分析

研究以张掖市甘州区为例,以黑河流域2000年和张掖市2007年土地利用/土地覆盖(LUCC)数据集的矢量数据、2014年Landsat 8 OLI_TIRS 8月份遥感影像和Google Earth影像为数据源,以Arc GIS10.1、ENVI 4.8和IDRISI 17.00为计算平台,利用CA-Markov模型对2014年土地利用变化进行模拟和预测,并将预测结果与2014年甘州区LUCC解译数据作对比分析,其Kappa系数为87.87%,表明预测与现实一致性较佳。最后对2021年甘州区土地利用分类进行模拟和预测。从预测结果可以看出:2000—2021年间甘州区耕地面积和建设用地面积呈现较快的增长趋势,未利用地面积呈现较快的减少趋势;林地和水域呈现缓慢地增长趋势;草地面积变化较小。简要分析了其变化原因主要归因于政策、社会经济、人口和科学技术几方面。对2021年甘州区土地利用变化的预测研究结果可为该区土地利用合理规划管理及经济发展政策的制定提供科学的决策依据。     

Assessment of Vein Diameter and Body Surface Temperature after High-Intensity Laser Therapy (HILT) on the Tarsal Joint in Healthy Horses

The aim of the study was to assess the influence of high-intensity laser therapy (HILT) on vein diameter and on body surface temperature changes in the tarsal joint area in a group of clinically healthy racehorses. The hypothesis of the study was that HILT increases vein diameter and body surface temperature in healthy tissue. The study involved 16 Thoroughbreds being subjected to ultrasonographic examination to assess changes of diameter of the cranial branch of the medial saphenous vein and thermographic examination to indicate temperature change of the dorsal surface of the tarsal joint, just before and immediately after HILT treatment. Vein diameter and mean surface temperature of the tarsal joint significantly increased after HILT treatment. In addition, the study was the first to describe the photothermal effect of HILT in healthy horses. More studies are necessary to specify the parameters of the procedure, that is, wavelength, energy density, or time of the procedure, depending on the patient’s individual characteristics and type of tissue.     

Land surface temperature retrieval for arid regions based on Landsat-8 TIRS data:a case study in Shihezi,Northwest China

Scientific interest in geophysical information about land surface temperature （LST） is ever increasing, as such information provides a base for a large number of applications, including environmental and agricultural monitoring. Therefore, the research of LST retrieval has become a hot topic. Recent availability of Landsat-8 satel- lite imagery provides a new data source for LST retrieval. Hence, exploring an adaptive method with reliable ac- curacy seems to be essential. In this study, basing on features of Landsat-8 TIRS thermal infrared channels, we re-calculated parameters in the atmospheric transmittance empirical models of the existing split-window algorithm, and estimated the ground emissivity with the help of the land cover classification map of the study area. Further- more, a split-window algorithm was rebuilt by virtual of the estimation model of the updated atmospheric transmit- tance and the ground emissivity, and then a remote sensing retrieval for the LST of Shihezi city in Xinjiang Uygur autonomous region of Northwest China was conducted on the basis of this modified algorithm. Finally, precision validation of the new model was implemented by using the MODIS LST products. The results showed that the LST retrieval from Landsat-8 TIRS data based on our algorithm has a higher credibility, and the retrieved LST is more consistent with the MODIS LST products. This indicated that the modified algorithm is suitable for retrieving LST with competitive accuracy. With higher resolutions, Landsat-8 TIRS data may provide more accurate observation for LST retrieval.     

Simulation of future dissolved oxygen distribution in pond culture based on sliding window-temporal convolutional network and trend surface analysis

Dissolved oxygen (DO) is a key ecological factor to measure the quality of water in the aquaculture. As the pond water body is affected by the breeding environment, the spatial distribution of DO shows a certain law in the entire pond. Therefore, to simulate the distribution of DO in aquaculture waters and grasp the temporal and spatial variation of DO is the key to achieving precise regulation of DO. For this purpose, this paper proposed a method for simulating the temporal and spatial distribution of DO in pond culture based on a sliding window-temporal convolutional network together with trend surface analysis (SW-TCN-TSA). This paper first utilized SW to construct DO data sets with different prediction durations, and then used the improved TCN model to realize one-dimensional time series prediction for DO at single monitoring point. Based on the prediction results of DO, a TSA method was performed on the predicted values of DO at the extreme moments of all discrete monitoring points, so as to realize the simulation of the temporal and spatial distribution of DO in the pond. Experimental results show that the SW-TCN model has better prediction performance for one-dimensional time series prediction of DO. Compared with traditional deep networks, such as CNN, GRU, LSTM, CNN-GRU and CNN-LSTM, the values of evaluation indicators (MSE, MAE and RMSE) have been greatly improved. In the process of trend surface fitting, all fitting R² of DO at different water depths are higher than 0.9, indicating that the TSA can accurately reflect the temporal and spatial distribution of DO. This method can provide a basis for the prediction and early warning of DO in the three-dimensional space of the pond and has high practicability in aquaculture.