ZigBee技术在火灾自动报警系统中的应用

随着我国经济的快速发展,国家越来越重视现有的专业性的有线火灾报警系统的管理和控制,为了进一步的提升火灾报警系统中的信息传输管理效率,及时有效地发现和分析火灾的实际情况,必须要提高建筑物的防火能力。因此,论文主要针对现阶段的ZigBee技术在火灾自动报警系统中的应用进行简要分析,并提出合理化建议。     

海洋物探技术在近岸海底礁石探测中的应用

论文介绍了海底礁石地质特征,同时通过重点分析几种常用的海底礁石探测技术方法特点,说明了海洋物探是目前海底礁石探测最值得推荐使用的技术方法,其效率高、成本低、适应性强、适用范围广的特点能够很好地满足海底礁石探测的各项要求,并在相关工程项目得到了有效应用。实践证明,海洋物探法可精确还原疏浚区海底礁石分布状态,为项目提供可靠的数据支持。     

多孔连续斜交框架桥顶进施工过程受力分析

城市道路下穿铁路框架桥顶进施工的关键是合理控制桥梁主体结构的受力。为了对框架桥顶进施工过程进行受力特性分析，采用Midas有限元软件模拟了框架桥在滑板上开始顶进、框架桥重心即将离开滑板、框架桥顶进即将就位三个施工阶段。结果表明，该框架桥的施工过程是安全可靠的，同时结合工程项目实际给出了顶进施工的注意事项。该方法可用来指导类似工程顶进施工过程的受力分析和施工控制。     

巢湖派河流域清水廊道技术产业推广模式的构建

派河为巢湖一级支流，水质差，针对派河流域开展了多项研究，产生了多项清水廊道技术，尚缺乏有效的产业化推广模式，基于此，构建了多层次、多元化清水廊道技术产业推广模式（“2S”VIP）。该模式包括组织机构、运行机制、推广模式平台、保障措施等。其中清水廊道技术推广模式平台包括综合技术信息平台、综合服务平台、产业化推广平台，以综合技术信息平台为支撑，以互联网+、大数据等为手段，综合服务平台为依托，产业化推广平台实现技术与市场的衔接。在政府的引导和监督下，通过一系列保障措施使各平台能顺利运行，达到产、学、研、用的有机融合。     

信息技术产业创新发展的演化复杂路径研究

信息技术产业创新发展的研究具有现实意义。通过文献研究建立信息技术产业创新演化复杂系统研究框架，汇总认知角度的创新层次、产业演化以及演化研究工具和方法等相关研究情况，认为应重视动态、演化和复杂系统的特点，政府介入推动自组织网络的高效率演化和发展，促进网络化学习，避免低端依赖，促进创新效率。创新系统研究应包含认知领域的相关成果，利用演化计算和机器学习方法构建模型，提升对真实行为的模拟仿真和解释能力。     

河南省传统村落空间分布特征及影响因素研究

[目的]分析河南省传统村落的空间分布特征及其影响因素,以期为中原地区传统村落的建设发展提供指导。[方法]文章通过谷歌地理信息系统及Arc GIS10. 2软件对河南省124个国家级传统村落的空间分布类型、分布格局、分布均衡型及影响因素进行分析,采用最邻近距离法、核密度估计法及地理集中程度等方法揭示其空间分布特征及其形成的影响因素。[结果]最邻近距离法分析R=0. 628,小于1,分布类型为凝聚型。核密度分析中,整体空间分布呈现3个核心区域,平顶山东北区域,豫西北沿省边界呈带状分布及豫南信阳南部,空间分布受地理、经济和文化等因素影响。[结论]河南省传统村落的空间分布属凝聚型不均衡分布。从地级市层面上分析,主要集中在平顶山东部、信阳南部和三门峡地区;从分区层面上,以豫中较多,豫北、豫西和豫南其次,豫东基本空白。形成原因与地理高程、社会经济和历史事件有关。交通不便、经济相对发达或相对落后、历史事件少发的区域,传统村落保存较为完整。     

Impact of agricultural innovation adoption: a meta‐analysis

The impacts of adopting agricultural innovation and technology are widely examined. This paper synthesises 154 studies, which yielded a total of 600 estimates of the impact of adopting agricultural innovation and technology on production, social and economic outcomes. Using meta‐regression analysis, the empirical results show that the reported impact of adopting agricultural innovation and technology rises significantly over time, notwithstanding a significant publication bias. Whether studies find significant impacts of adopting agricultural innovation and technology depends on the use of experimental research designs, parametric method, endogenous switching regression and region. Our results show a large bias in the literature towards agricultural innovations and technologies that focus on high‐yielding varieties and thus, neglect other forms of complementary innovations and technologies.     

Taking agricultural technologies to scale: experiences from a vegetable technology dissemination initiative in Tanzania

One of the widely suggested approaches to meet the increasing food demand of a substantially growing world population is sustainable intensification. We present a unique agricultural research and scaling programme in Tanzania, focusing on the key elements necessary for results related to: gender analysis; private sector engagement; social capital; improvement and adaptation; and programme performance monitoring and evaluation. Since 2014, more than 6000 farmers have benefited from either the adaptive research or the scaling component of the programme. Preliminary impact analysis results from six pilot locations indicate that programme participants realized significantly higher yields compared to non-participants. In addition to productivity improvements, introducing resistant and drought-tolerant elite vegetable varieties improved the resilience of the existing farming systems. Finally, considering the needs of both male and female participants had a positive impact on technology adoption rates and reach.     

Experience matters: The role of academic scientist mobility for industrial innovation

Research Summary: A learning‐by‐hiring approach is used to scrutinize scientists' mobility in relation to the recruiting firms' subsequent innovation output. Our starting point is that among firm hires, individuals with university research experience—hired from universities or firms—can be particularly valuable. However, conflicting institutional logics between academia and industry makes working with academic scientists challenging at times for firms. We suggest two solutions to this difficulty: hiring “ambidextrous” individuals with a mix of experience of university research and working for a technologically advanced firm, and a strong organizational research culture in the recruiting firm reflected by the presence of a scientist on the top management team. We track the mobility of R&D workers empirically using patent and linked employer‐employee data. Managerial Summary: An important way to make organizations more innovative is hiring individual researchers with the right types of skills and experience. We show that individuals with university research experience beyond their final degree are particularly likely to help boost firm‐level innovation output after hiring compared to R&D workers with other types of skills and experience. However, to obtain good returns to innovation from hiring such individuals, firms need a university research–friendly organizational culture when hiring individuals with university research experience, from either firms or academia.     

数字经济时代会计变革及对策

随着数字经济时代的来临，以人工智能技术为代表的现代信息技术越来越多地应用到会计工作中，会计工作将进入数字会计时代，向共享会计、管理会计、智能会计发展。为了适应数字经济带来的变化，会计机构要成为企业的“数据中心”，发挥管理和服务职能。会计人员要积极学习现代信息技术和管理知识，实现由核算型向管理型转型。