低风险疾病情境下农村居民健康信息规避行为研究

[目的/意义]本研究旨在揭示低风险疾病情境下农村居民健康信息规避的程度、策略、成因及其关联。[方法/过程]研究采用理论抽样方法和半结构化访谈法收集了江苏省45位农村居民的相关数据。研究采用开放式编码和主轴编码方法对访谈数据进行分析,同时采用社会网络分析软件对规避策略和成因之间的关系进行可视化展示。[结果/结论]（1）农村居民在低风险疾病情境下存在全面型和选择型两种不同程度的健康信息规避。其中,全面型健康信息规避主要发生在信息需求阶段,具体的规避策略为完全不治疗;而选择型信息规避发生在信息获取阶段,具体的规避策略为自己治疗或者拖延治疗。（2）该情境下农村居民健康信息规避的成因主要包括感知风险、对信息源的信任、健康信息素养水平、文化水平、情绪、经济水平、小世界、时间和医疗资源的可及性。（3）农民健康信息规避的成因与规避策略存在特定的关联。文化水平和医疗资源的可及性只对完全不治疗规避策略有影响;情绪因素只对拖延治疗规避策略有影响;健康信息素养水平只对自己治疗规避策略有影响。该研究可为改善农村居民的健康状况提供指导建议。     

信息化时代大学生信息素养教育实践研究——以沈阳理工大学图书馆为例

[目的/意义]信息素养是人们在现实生活中就信息应用方面的综合表现,信息素养是大学生必备的基本素质,对其未来发展具有重要意义。[方法/过程]以沈阳理工大学图书馆信息素养教育为例,从大学生教育、教师教学和科研发展等需求多样性出发,开展多元化信息素养教育实践,形成了“课程整合教学—资源系列讲座—学科化服务—营造书香校园”的多层级、系统化信息素养教育体系。[结果/结论]建立一支学科知识齐全的信息素养专职师资队伍,发挥新媒体技术优势,积极开展线上教育新模式,加强与国内外知名大学图书馆交流与协作,引领高校师生信息素养教育沿着正确道路稳步发展。     

2000—2015年西南区县域土地利用变化特征及驱动力分析——以重庆市奉节县为例

综合分析重庆市奉节县土地利用格局时空演变及其驱动力,为优化西南区县域尺度的土地利用规划、生态大保护和区域可持续发展提供理论参考和数据支持。基于RS和GIS技术,利用四期（2000、2005、2010和2015年）土地利用基础数据,从土地利用动态模型和地学信息图谱等方面出发,揭示区域2000—2015年的土地利用动态变化特征及时空演变规律。依据主成分分析模型和线性回归分析模型,并基于奉节县社会经济统计数据,探究研究区土地利用驱动机制。研究期内,研究区土地空间格局呈现以林地和耕地为主体,同时交错分布其它土地类型的特点。耕地、草地和未利用地土地面积分别减少 78.84 km²、3.73 km²、2.54 km²,而林地、水域和居民工矿用地面积分别增加23.36 km²、46.67 km²、9.03 km²。受三峡移民影响,区域土地利用分布格局由整体无序向局部有序的方向发展。研究期的前10年间,土地利用类型转移主要发生在林地、草地和耕地之间,林地→耕地和草地的面积总和分别为849.38 km²和425.17 km²;2010—2015年间林地和居民工矿用地新增面积分别为9.93 km²和7.09 km²。从产业结构调整、政策影响和社会发展等方面探究区域城镇化的驱动机制,城镇化因素、政策因素、经济因素、社会发展因素和农业因素是影响奉节县土地利用类型变化的主要驱动力。     

河南省农业干旱脆弱性分析

为减轻旱灾损失,根据2005、2015年河南省统计与气象数据,采用10项指标和灰色关联分析法,以最劣值为参照系列分析了该省农业旱灾脆弱性。结果表明,豫西的济源、三门峡、洛阳,豫东的开封、漯河与豫北的鹤壁是河南省干旱脆弱性较强的区域,而豫东南的商丘、驻马店、信阳,豫北的新乡、豫西南的南阳则脆弱性较弱,其他地区居于两者之间;2005—2015年河南省干旱脆弱性呈明显的增加趋势。河南省是中国粮食生产核心区,首先要依靠科技创新,大力发展节水农业、循环农业;其次要重视水资源的节约与保护、加大农业投入以降低干旱的脆弱性,确保粮食安全。     

Cotton Image Segmentation Algorithm Based on Fusion Method of Markov Random Field and Quantum Particle Swarm Cluster

[Objective] The aim of this study was to improve the cotton image segmentation accuracy in a picking robot image processing system. [Method] An image segmentation algorithm based on a fusion method of Markov random field and quantum particle swarm optimization clustering was proposed. The process of the proposed algorithm is as follows: first, transform the RGB (red, green, blue) images into grayscale; second, use it to segment these images; finally, the threshold of the connected area is set on the basis of the segmented image to obtain the target area. Then, the cotton front image and the cotton side image are selected from the images collected from different angles. The segmentation experiment was carried out by using this algorithm, and compared with the Otsu algorithm, the fuzzy C-means algorithm, the quantum particle swarm image segmentation algorithm and the Markov random field image segmentation algorithm. [Result] The results showed that the segmentation accuracy and peak signal to noise ratio of the proposed algorithm were 98.94% and 77.48 dB. When compared with the Otsu algorithm, fuzzy C-means algorithm, quantum particle swarm optimization algorithm and Markov random field algorithm, the average segmentation accuracy and peak signal to noise ratio of the proposed algorithm increased by 2.47%–4.56%, and 9.81–13.11 dB, respectively. [Conclusion] The proposed algorithm had higher segmentation accuracy and higher peak signal to noise ratio than the other algorithms tested.     

Effects of AG1 and AG2 QTLs on Nonstructural Carbohydrate and Seed Management Options for Rice Seedling Growth and Establishment under Flooding Stress

Rice (Oryza sativa) plants acquired excess photosynthates in the form of nonstructural carbohydrates (NSCs) in their stems and grain. Despite keen interest in rice NSC, the dynamics of NSC accumulation, translocation and re-accumulation have not yet been well investigated. AG1 and AG2 QTLs associated with flooding tolerance through catalyzing starch into soluble sugar in germinating seeds. Here we conducted three experiments, greenhouse and field to lay the groundwork for large-scale diversity studies on grain NSC and some agronomic traits under direct-seeded rice (DSR) system, using elite lines incorporating AG1, AG2 and AG1-AG2 QTLs into the popular varieties PSB Rc82 and Ciherang-Sub1 along with the donors Kho Hlan On (AG1) and Ma-Zhan Red (AG2). In germinating seedlings, soluble sugars increased, while starch concentration decreased gradually especially in the tolerant checks and AG1-AG2 introgression lines under flooded soil. Soluble sugar accumulation in stem started to increase from the vegetative stage and peaked at the panicle initiation stage then gradually decreased towards the maturity stage. But Sub1-AG lines had higher sugar and starch concentrations at different growth stages than other genotypes in wet season 2016 and dry season 2017. Plant survival rate was positively correlated with the stem NSC at the early vegetative stage (21 days after sowing), and stem NSC was positively associated with plant height at different growth stages. Among the tested seeding rate, the most suitable seeding rate, 4 g/m² with shallow burial depth (0.5 cm), resulted in better seedling establishment, relatively higher seedling vigor index and higher leaf area index under flooding in DSR system. Introgression of AG1-AG2 QTLs had no any negative impact on nonstructural carbohydrate, germination rate, and growth and biomass production.     

双唑草腈对双季水稻田杂草的防效及后茬作物的影响

通过大田试验测定了双唑草腈及其与苄嘧磺隆、五氟磺草胺和扑草净混用对双季水稻田杂草的防效,并评价了双唑草腈对水稻及后茬作物的安全性。结果表明:2%双唑草腈GR对双季水稻田杂草具有良好的防治效果,210、315和420 g/hm~2处理药后30、45 d对禾本科杂草和阔叶类杂草的防效均在87%以上,低剂量140 g/hm~2处理药后30、45 d对双季水稻田禾本科杂草和阔叶类杂草防效均在75%以上。2%双唑草腈GR 140、210、315和420 g/hm~2处理对后茬作物小白菜、马铃薯、小麦、紫云英和冬季油菜生长安全。2%双唑草腈GR以140、210 g/hm~2分别与苄嘧磺隆或五氟磺草胺混用,药后30、45 d对禾本科杂草和阔叶杂草的防效均在93%以上,显著优于2%双唑草腈GR相应浓度的单剂处理,其中2%双唑草腈GR 210 g/hm~2+10%苄嘧磺隆WP 30 g/hm~2混用可以达到2%双唑草腈GR 315 g/hm~2处理的防治效果,且对水稻生长安全;单独施用50%扑草净WP 450 g/hm~2对双季稻田禾本科杂草的防效较差,其与2%双唑草腈GR混用后防效显著提高,但对水稻生长有较强的抑制作用。综上,双唑草腈及其与苄嘧磺隆、五氟磺草胺混用对双季水稻安全,可在双季水稻田推广应用。     

Weed seedling emergence in contrasting fodder crop systems following 30 years of cultivation in the lowlands of Northern Italy

Five fodder crop systems of different intensity (ranging from a double annual crop of Italian ryegrass + silage maize to a permanent meadow) were adopted for 30 years in the lowlands of Northern Italy under two input levels, differing mainly in their provision of organic fertiliser (manure). Herbicides were used in the maize crops included in all systems, except the meadow. After 30 years, the weed seedbank of all systems and input levels were assessed by the seedling emergence technique on soil samples from each plot. The cropping systems determined the abundance and composition of the weed assembly. Relatively few, frequent species made up the majority of the emerged seedlings in all systems, and there was no relationship between the total number of emerged seedlings and the mean number of species recorded in the different systems. Arabidopsis thaliana and Oxalis corniculata were abundant in the annual double crop and in the 3- and 6-year rotations that also comprised the annual double crop. These weeds, however, were unlikely to represent a major threat to the crops, due to their vigour and growth period. The permanent meadow tended to greater weed biodiversity than the other systems. The application of manure favoured the seedbank of species such as Lolium multiflorum, Digitaria sanguinalis and A. thaliana. Weed communities in the different systems were mainly determined by herbicide application, (through the ability of weeds to avoid its effects, determined by the weed life history and emergence period) and manure application (with its possible dual effect of spreading weed seeds and favouring nitrogen-responsive weeds).     

ET_0变化趋势分析及估算模型研究——以新乡站为例

【目的】参考作物蒸散量(ET_0)的估算是计算作物腾发量的基础,也是区域水资源评价与灌溉政策制定的前提,因此,研究ET_0变化趋势与估算模型能够对该地区农田灌溉用水预报提供基础支持,进而为灌溉制度的制定以及水资源高效利用提供科学依据。【方法】以河南新乡气象站1962―2016年气象资料为基础,运用Penman-Monteith模型计算ET_0序列,Mann-Kendall趋势检验法对年及季节尺度ET_0序列变化趋势进行分析,并用均值生成函数模型对其进行了拟合与验证。【结果】①新乡地区年尺度ET_0序列在1975―2016年间呈减小趋势,并在1985―2004年、2006年显著;②新乡地区春季ET_0序列在1982―1983年及1988―2003年间呈显著的减小趋势,夏季ET_0序列在1980―2012年间呈显著的减小趋势。③均值生成函数模型在对年尺度ET_0序列进行拟合时,其一致性系数达到0.83,绝对误差与相对误差分别在-120.8～120.0 mm及-14.0%～18.2%之间。④均值生成函数模型在对季节尺度ET_0序列进行拟合时,其一致性系数在春、夏、秋、冬各季节分别达到0.85、0.81、0.88及0.89,绝对误差分别在-60.2～64.3、-64.4～58.9、-39.6～32.8、-37.0～25.1 mm之间,相对误差分别在-20.1%～36.7%、-22.1%～32.1%、-18.0%～22.9%、-23.9%～24.6%之间。【结论】新乡地区年尺度ET_0序列在1985―2004年间显著减小,均值生成函数模型在对年及各季节尺度ET_0序列进行拟合时整体效果较好,因此,可通过其进行年及季节尺度ET_0序列的估算,且其在秋、冬二季的拟合效果明显好于春、夏二季。     

水稻因土质施肥方法探讨

土壤质地是土壤的基本物理性质之一,反应土壤中不同大小直径成土颗粒的组成状况。不同质地土壤间养分含量、蓄水导水、保肥供肥、保温导热、耕性、微生物种类及其活动等性能的差异,影响肥料的固定、转化、吸收和流失,并影响作物的产量形成,进而形成区域性的肥料利用效率的差异。水稻肥料利用状况的改善一直是研究热点,但土壤质地对肥料利用和水稻生长的影响研究相对较少。本文简要介绍了不同质地土壤的养分状况和理化性质差异,分析了土壤质地对作物生长发育的影响;并在简要评价测土配方施肥技术的基础上,初步探讨了不同土质土壤的肥料高效施用方法。