球壳孢菌和胶孢炭疽菌的液体培养特性研究

对银杏叶内生真菌球壳孢科菌株A114和胶孢炭疽菌菌株05—27的液体培养特性的初步研究得出：两种菌株均在马铃薯葡萄糖液体培养基中生长最好、菌丝产量最高，在pH4．0-8．5的马丁氏液体培养基中均能生长。A114菌株和05—27菌株的最佳氮、碳源分别为酵母粉和葡萄糖，A114菌株最适pH为6．6，05—27菌株最适pH为6．9。     

Cultural Relevance for Rural Community Development in China: A Case Study in Bai, Jingpo and Huyaodai Communities of Yunnan Province

A three-year study over the Bai, Jingpo and Huayaodai communities in Yunnan Province reveals that the community development is significantly influenced in various ways by such cultural factors as the concepts of development; concepts and traditions of inter-community relationships, consumption, mar- riage and gender; patterns of decision-making and production, resource and income allocation; as well as the role of information dissemination systems, religion and ritual. Based on the analysis over the interactive relevance between each factor and community development, some strategies and methods for dealing with such a cultural relevance in development projects are recommended.     

α7nAChR在氯化甲基汞神经毒性中的作用

为探讨环境染污染物氯化甲基汞(methylmercury chloride,Me Hg Cl)的神经毒性作用机制,采用MTT、免疫细胞荧光、dot Blot、qRT-PCR等实验技术检测Me Hg Cl对PC12细胞活性及其α7亚型烟碱型胆碱能受体(α7 nicotinic acetylcholine receptor,α7n AChR)蛋白和mRNA表达水平的影响。结果显示Me Hg Cl抑制PC12细胞活性,显著降低α7n AChR的蛋白和mRNA的表达水平,呈浓度依赖性。上述结果表明,Me Hg Cl对神经细胞毒性作用可能与抑制α7n AChR表达有关。     

基于BERT-BILSTM-CRF模型的电力行业事故文本智能分析*

为解决电力行业事故报告文本较长、语义复杂,难以进行有效文本识别问题,提出1种以BERT作为底层的预训练模型,并设计1种双重注意力机制编码器,结合BILSTM-CRF深度挖掘事故文本语义特征,从而实现文本智能分析。首先构建电力词典,通过对BERT预训练,进行BIO标注,然后引入BILSTM-CRF模型实现对文本标签智能分类,最后将该模型与现行其他4种深度学习模型进行对比。研究结果表明:该模型智能识别精确率、召回率及F1值(查准率)均达到约97%,较其他4种模型中效果最好的模型分别提高0.02,0.03,0.02。研究结果可为电力行业事故报告文本分析提供1种新思路。     

基于缓冲区重采样的LSTM林火预测模型*

为提高林火风险预测精度,挖掘地图上隐含的空间信息、时间序列上隐含的长期趋势和循环波动,提出1种基于缓冲区重采样的长短期记忆（LSTM）林火预测模型,选取15个与林火相关的影响因素,以方差膨胀因子为评价指标对其进行多重共线性检验,方差膨胀因子大于10的因素具有共线性,并采用信息增益率验证筛选结果的合理性。考虑到火灾的空间聚集特性,采用缓冲区分析与过采样相结合方法减少样本不均衡现象的影响,最终得到176 732条样本。对12个影响因素和研究时间段的火点建立LSTM预测模型,对森林火灾发生风险进行预测。研究结果表明:基于缓冲区重采样的LSTM林火预测模型有效考虑时空上隐含的信息,预测模型准确率为87.06%,特异性为97.99%,敏感度为76.12%,阳性预测率为97.43%,阴性预测率为80.41%,ROC曲线与AUC值均优于随机森林（RF）和支持向量机（SVM）这2种基准算法。维尔克松秩和检验发现,本文提出的模型与基准算法结果具有显著性差异。研究结果可为提高林火风险预测精度提供参考。     

遗产区域:一种大尺度文化景观保护的新方法

遗产区域是美国国内针对大尺度文化景观保护的一种较新的方法。该方法重视人与土地之间的互动关系。强调通过对地方历史文化、自然和游憩资源的综合保护与利用。实现遗产保护、经济发展、重建区域身份、提供游憩机会等多重目标。从美国历史保护运动的发展背景出发。回顾了遗产区域的发展历程，从定义、特征与分类三个方面评述了其概念内涵，并对遗产区域保护中的几个关键问题进行了讨论。最后针对遗产区域保护方法在中国的发展与应用提出了相关建议。     

文化旅游产业的融合发展及政府规制改革研究

在文化旅游领域，文化与旅游产业的融合与互动发展已成为新的趋势，产生了良好的经济效益和社会效益。以文化旅游产业融合发展为题，联系产业分工理论、产业组织理论、战略管理理论等，结合文化及旅游产业自身的特征，对文化旅游产业融合的动因、融合机制和融合背景下如何进行政府规制改革等问题进行了分析。     

Hunting in unfamiliar space: echolocation in the Indian false vampire bat, Megaderma lyra, when gleaning prey

The literature suggests that in familiar laboratory settings, Indian false vampire bats (Megaderma lyra, family Megadermatidae) locate terrestrial prey with and without emitting echolocation calls in the dark and cease echolocating when simulated moonlit conditions presumably allow the use of vision. More recent laboratory-based research suggests that M. lyra uses echolocation throughout attacks but at emission rates much lower than those of other gleaning bats. We present data from wild-caught bats hunting for and capturing prey in unfamiliar conditions mimicking natural situations. By varying light level and substrate complexity we demonstrated that hunting M. lyra always emit echolocation calls and that emission patterns are the same regardless of light/substrate condition and similar to those of other wild-caught gleaning bats. Therefore, echoic information appears necessary for this species when hunting in unfamiliar situations, while, in the context of past research, echolocation may be supplanted by vision, spatial memory or both in familiar spaces.Communicated by T. Czeschlik     

Spatial diffusion patterns of Protestants in Guangdong since 19th century

地理环境往往会对宗教的扩散和分布产生重要影响.扩散是宗教地理研究关注的一个重要方面,而对具体宗教扩散模式的研究在国内尚属薄弱.对基督教新教自19世纪初传人广东后的空间扩散形态进行分析,发现存在着多种扩散模式.其中,点轴式迁移扩散最为普遍,但中间障碍的存在常常使发展轴线发生变换;等级扩散呈现出按照人口分布规模、交通地重要性和行政等级的特征;传染扩散模式随着媒介的变化而不断演进;依托海岛的跳板式扩散则是沿海地区基督教扩散的特殊形式.这些模式虽是从经典文化扩散模式演化而来,但在具体特征上已有显著变化.研究试图对传统的文化扩散模式进行重新解读,并为"腹地一口岸一市场"的文化扩散理论提供成熟案例.     

Perceived importance of sustainability dimensions in the Portuguese metal industry

The growing interest of stakeholders regarding the contribution of organizations to Sustainable Development is influencing organizational behavior and strategic planning. The purpose of the present paper is to analyze the perception of the importance of organizational sustainability dimensions in a relevant economic sector: the metal industry. Survey data was collected from a sample of 211 Portuguese industries, and non-parametric statistical tests were used to validate five research hypotheses regarding the importance of the economic, environmental, social and cultural dimensions of sustainability. The results obtained demonstrate awareness of the sampled industries regarding all sustainability dimensions, recognizing that their importance has been increasing over the years, and prospecting that this importance will continue to increase in the future. The industries in this sample revealed different degrees of perceived importance for the different sustainability dimensions: the highest importance was given to the economic dimension, and culture was considered the least important sustainability dimension. However, the perception of the respondents is that these differences will be less relevant in the future. The results also show that companies with certified management systems reveal a higher perceived importance regarding sustainability dimensions. Also, industries with higher values of annual turnover, number of employees and export sales tend to give higher degrees of importance to sustainability dimensions. Considering the economic, environmental and social impacts of metal industries at an international level, the awareness of this industrial sector regarding the importance of sustainability is a relevant step to the commitment towards Sustainable Development.