共查询到20条相似文献，搜索用时 93 毫秒
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本文论述了科技查新机构开展专利查新的可行性,比较分析了科技查新与专利查新的异同点,论述了科技查新机构开展专利查新工作的重要性,并采用SWOT分析法探讨了当前查新机构开展专利查新的优势和劣势,提出了新形势下科技查新机构开展专利查新的主要方法及思路。 相似文献
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从科技查新的定义出发,分析传统科技查新中存在的局限性和弊端.根据福建省科技查新中心近5年来受理的科技查新项目类型的分析,研究新形势下科技查新的需求,提出细化科技查新分类,根据不同的查新类型出具不同的查新报告.最后对新形势下科技查新工作进行展望. 相似文献
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刘宏源 《内蒙古科技与经济》2018,(10)
工法查新起步晚,同时,由于工法的基本属性,工法查新与一般意义上的科技查新又有着很大的区别。笔者从事科技查新工作多年,深感工法查新存在的诸多问题,已经严重影响到了工法查新的质量控制。文章从资源保障到查新报告内容等方面对工法查新的规范化进行了相关的研究。 相似文献
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阐述中医药科技查新的基本概念及作用意义,结合查新工作实践,指出目前中医药科技查新检索存在的诸多问题,就如何进一步做好查新工作,保证查新质量,从审题、检索策略的制定及查新标准的规范入手,并考虑不同对象对科技查新的不同认识,对中医药科技查新的重要性、发展趋势及改进措施提出对策建议,以促进科研管理的科学化、规范化,从而加快服务于湖北省的科技成果转化工程,更好地服务于创新湖北建设。 相似文献
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科技查新与知识产权保护的互动作用 总被引：2，自引：0，他引：2
从科技查新的特点，科技查新的原则，论述了科技查新与知识产权的关系，科技查新工作中知识产权保护问题．提出要充分利用知识产权制度和科技查新，促进科技项目在高起点上创新，实现科学技术跨越发展。 相似文献
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赵跃民 《科技成果管理与研究》2009,(1):8-11
阐述科技查新的作用意义,回顾了湖北省科技信息研究院科技查新工作的发展历程,针对当前科技查新活动中面临的一些问题进行了思考,提出了科技查新要创新查新管理,在新一轮改革环境下,适时推进知识管理战略,强调以知识管理带动科技查新的业务“突围”。 相似文献
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面对技术环境不断发展的潮流和趋势,图书馆科技查新的手段需要创新。云笔记以云计算为基础,以知识管理为使命,契合图书馆科技查新的需求。论文阐述了云笔记Wiz在图书馆科技查新中应用的4个方面:查新流程云改造、查新档案云管理、查新主体云协作、查新知识云培训;结合这几方面的实践分析云笔记Wiz在图书馆科技查新中的应用价值,总结经验,以期抛砖引玉。 相似文献
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文章从科技查新的定位、查新人员的定位、查新检索责源的定位及获取教育部郝级科技查新工作站的高校查新工作开展等方面进行探讨,指出当前科技查新工作存在的问题. 相似文献
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期间核查是对校准实验室和检测实验室的通用要求之一,计量标准的核查关系到该地区计量活动和检测结果的有效性和准确性。期间核查的本质是保持被核查仪器的校准状态,即核查其稳定性。文章讨论期间核查如何实施以及几种实用的期间核查方法。 相似文献
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为了保证检测数据的准确和可靠，使测量设备处于满足预期使用要求的状态，缩短失准后的追溯时间，尽可能降低风险和成本。文章提出了期间核查的必要性，主要对象，归纳了一些常见核查方法及结果的处理。 相似文献
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Chonghao Chen Fei Cai Xuejun Hu Jianming Zheng Yanxiang Ling Honghui Chen 《Information processing & management》2021,58(3):102472
Fact verification aims to retrieve relevant evidence from a knowledge base, e.g., Wikipedia, to verify the given claims. Existing methods only consider the sentence-level semantics for evidence representations, which typically neglect the importance of fine-grained features in the evidence-related sentences. In addition, the interpretability of the reasoning process has not been well studied in the field of fact verification. To address such issues, we propose an entity-graph based reasoning method for fact verification abbreviated as RoEG, which generates the fine-grained features of evidence at the entity-level and models the human reasoning paths based on an entity graph. In detail, to capture the semantic relations of retrieved evidence, RoEG introduces the entities as nodes and constructs the edges in the graph based on three linking strategies. Then, RoEG utilizes a selection gate to constrain the information propagation in the sub-graph of relevant entities and applies a graph neural network to propagate the entity-features for reasoning. Finally, RoEG employs an attention aggregator to gather the information of entities for label prediction. Experimental results on a large-scale benchmark dataset FEVER demonstrate the effectiveness of our proposal by beating the competitive baselines in terms of label accuracy and FEVER Score. In particular, for a task of multiple-evidence fact verification, RoEG produces 5.48% and 4.35% improvements in terms of label accuracy and FEVER Score against the state-of-the-art baseline. In addition, RoEG shows a better performance when more entities are involved for fact verification. 相似文献
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Jonas Richiardi Andrzej Drygajlo Plamen Prodanov 《Journal of The Franklin Institute》2006,343(6):574-595
Speaker verification is a biometric identity verification technique whose performance can be severely degraded by the presence of noise. Using a coherent notation, we reformulate and review several methods which have been proposed to quantify the uncertainty in verification results, some with a view to coping with the effects of mismatched training-testing environments. We also include a recently proposed method, which is firmly rooted in a probabilistic approach and interpretation, and explicitly measures signal quality before assigning a reliability value to the speaker verification classifier's decision. We evaluate the performance of the confidence and reliability measures over a noisy 251-users database, showing that taking into account signal-domain quality can lead to better accuracy in prediction of classifier errors. We discuss possible strategies for using the measures in a speaker verification system, balancing acquisition duration and verification error rate. 相似文献
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《Information processing & management》2023,60(1):103116
Research on automated social media rumour verification, the task of identifying the veracity of questionable information circulating on social media, has yielded neural models achieving high performance, with accuracy scores that often exceed 90%. However, none of these studies focus on the real-world generalisability of the proposed approaches, that is whether the models perform well on datasets other than those on which they were initially trained and tested. In this work we aim to fill this gap by assessing the generalisability of top performing neural rumour verification models covering a range of different architectures from the perspectives of both topic and temporal robustness. For a more complete evaluation of generalisability, we collect and release COVID-RV, a novel dataset of Twitter conversations revolving around COVID-19 rumours. Unlike other existing COVID-19 datasets, our COVID-RV contains conversations around rumours that follow the format of prominent rumour verification benchmarks, while being different from them in terms of topic and time scale, thus allowing better assessment of the temporal robustness of the models. We evaluate model performance on COVID-RV and three popular rumour verification datasets to understand limitations and advantages of different model architectures, training datasets and evaluation scenarios. We find a dramatic drop in performance when testing models on a different dataset from that used for training. Further, we evaluate the ability of models to generalise in a few-shot learning setup, as well as when word embeddings are updated with the vocabulary of a new, unseen rumour. Drawing upon our experiments we discuss challenges and make recommendations for future research directions in addressing this important problem. 相似文献
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逻辑实证主义与波普尔的批判理性主义是当代西方科学哲学界有较大影响的两大流派。就其理论产生的根源来说,批判理性主义是波普尔在对逻辑实证主义的批判中创立起来的,他们之间有许多观点是针锋相对的。其中,尤以证实与证伪原则的争论最为激烈。然而,从争论的对象、焦点和归宿等方面来看,证实与证伪并不是非是即否,非此即彼的两个从根本上无法相客的观点。因此任何关涉二选一的争论都注定是褊狭的伪争论。 相似文献
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科技项目申报资料真实性存疑的问题一直存在,虚假申报在传统形式审查过程中难以识别,未能发现并有效制止较普遍存在的财政资金被骗取和公共资源损失浪费问题.导致问题的主要原因在于事前无有效工具对项目申报信息进行真实性校验,从而引发项目管理风险.从防范项目管理风险的角度开展研究,结合孵化栽体资质认定项目管理工作的风险特征,提出了申报资料校验系统的主要模型及校验逻辑,针对在孵化企业的工商信息及知识产权信息进行真实性校验.实践表明,能准确判断在孵企业的真实性,对防范虚假申报起到关键作用.本研究成果适用于各省份孵化载体资质认定管理工作中,对防范虚假申报具有参考价值和借鉴意义. 相似文献
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本文论述了文献查证工作的背景、目的及意义,结合笔者工作经验,对文献查证服务工作中存在的问题进行了分析,并提出了解决的建议。 相似文献
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[目的/意义]为了进一步降低作者身份验证中训练语料的字符数和测试样本的颗粒度,满足更多情报分析工作实际应用的需要。[方法/过程]文章提出了一种基于神经网络语言模型的作者身份验证方法。该方法在用某一作者的语料训练出的语言模型,将给予该作者书写的其他语料更高概率的指导思想下提出。[结果/结论]实验结果表明,相较于传统的作者身份验证方法,文章提出的方法可以使用更少的训练语料,并且在小于传统方法一个数量级的测试样本颗粒度上,仍能获得略高于传统方法的AUC值,最终使得可有效验证的测试样本的颗粒度降到50。[局限]在跨体裁方面效果仍有待提高。 相似文献