突破性创新及其识别

本文首先阐述了突破性创新的重要性及其特点。接着，从研究“小公司往往是突破性创新的源泉，而大公司往往只擅长进行渐进性创新”这一现象的原因出发，用市场轨道图为工具，阐述了突破性创新使在公司失败的过程，从而深刻揭示了突破性创新的本质。在上述过程研究的基础上，本文构建了突破性创新立项评估的框架。由于突破性创新的复杂性，使用模糊评价方法从定量和定性相结合的角度设计了突破性创新的识别指标体系。     

Question classification using limited labelled data

Question classification (QC) involves classifying given question based on the expected answer type and is an important task in the Question Answering(QA) system. Existing approaches for question classification use full training dataset to fine-tune the models. It is expensive and requires more time to develop labelled datasets in huge size. Hence, there is a need to develop approaches that can achieve comparable or state of the art performance using limited training instances. In this paper, we propose an approach that uses data augmentation as a tool to generate additional training instances. We evaluate our proposed approach on two question classification datasets namely TREC and ICHI datasets. Experimental results show that our proposed approach reduces the requirement of labelled instances (a) up to 81.7% and achieves new state of the art accuracy of 98.11 on TREC dataset and (b) up to 75% and achieves 67.9 on ICHI dataset.     

Efficient network immunization under limited knowledge

Targeted immunization of centralized nodes in large-scale networks has attracted significant attention.However,in real-world scenarios,knowledge and observation...     

突破性创新与公司创业机制研究

创造性破坏过程在引发技术发展的不连续性后，既有企业成为最大的受害者。为什么既有企业在资源和能力上优于新进入企业，却不能率先开发突破性创新？如何从组织自身出发改善这种情况？从公司创业机制的角度对这些问题进行了回答。     

基于本土资源的重大创新——汉字信息处理系统案例研究

本文以中国如何产生重大创新为主题，以王选和方正的汉字激光照排系统为案例，对发生在我国ICT领域出现的一个重大创新作了详细的内外因的分析。文章认为，在当前中国的科技水平下，基于本土资源，利用全球技术机遇是培育重大创新的充要条件。创业型科学家是重大创新之父，政府是重大创新的催化器，产学研合作是重大创新的前提。最后文章对今日中国如何推动重大创新、推进产学研合作提出了建议。     

Human-swarm collaboration with coverage control under nonidentical and limited sensory ranges

Human intelligence plays a significant role in the operation of a multi-agent system. This study proposes a control framework that allows a human operator to collaboratively interact with a swarm robot to accomplish environmental exploration, detection, and coverage. A r_i-limited Voronoi partition is proposed herein for improving the all-territory sensing range for coverage control. Subsequently, an interactive control framework and control algorithms are presented for an abstract task function that allows a human operator to control the movement of a swarm robot in a working environment. Environmental information is fed back to the master devices so that the human operator can realize the swarm robots coverage control situation. Stability and position tracking with static coverage control and input-to-state stability with dynamic coverage control of the human-swarm system are investigated. The efficiency and efficacy of the proposed system are validated via numerical examples and experiments.     

我国引入有限责任合伙制度之探析

有限责任合伙是近几十年来兴起于美英的一种新型企业组织形式。它打破了公司与合伙的传统界限，融合了合伙的灵活性与公司的有限责任性。在我国引入有限责任合伙制度的过程中，注册会计师起到了很大的推动作用。无论从西方国家发展的过程来看，还是从我国当前的状况来说，引入有限责任合伙制度是十分必要的。但是，要真正引入这项制度，却还需克服诸多障碍。因此，本文拟从会计师事务所为视角来探讨有限责任合伙引入我国的相关问题。     

公共图书馆走"有限产业化"之路的思考

文章创造性地提出公共图书馆“有限产业化”的概念,论述了公共图书馆在无偿做好社会公益事业的基础上,走“有限产业化”之路的必要性和可行性的,并提出了具体思路。     

外部学习、环境不确定性与突破性创新的关系研究

本文探讨了外部学习（技术学习与管理学习）对企业突破性创新的影响,考察了环境不确定性（技术不确定性与市场不确定性）对以上两种关系的调节作用.通过对168家高新技术企业的实证研究发现,技术学习与管理学习都对突破性创新具有显著影响,技术不确定性正向调节技术学习与突破性创新的关系以及管理学习与突破性创新的关系,市场不确定性正向调节技术学习与突破性创新关系.最后,探讨了研究结论的管理启示以及未来的研究议题.     

突破性技术之间的竞争与主导范式的形成

考虑到技术创新和主导范式的重要性,本文对各种新技术如何竞争并形成主导范式的过程进行了探索性的研究。此外,技术性能优越并不是一项技术成为主导范式的决定因素,因此本研究还考察了哪些因素最终影响了主导范式的形成。     

突破性创新的资产基础与面向突破性创新的联盟战略

运用资源与能力理论系统地分析了突破性创新的资产基础问题,提出了一个突破性创新资产基础的框架模型,进而从分析企业实施突破性创新过程中存在的资产缺口人手,深入探讨了企业如何通过联盟途径获取和使用联盟伙伴拥有的、突破性创新成功所需要的互补性资产的有关战略问题.     

Free Radical Status in Retinopathy of Prematurity

Retinopathy of prematurity (ROP) is a major cause of blindness in children. Free radicals are implicated in the development of this retinopathy. We studied the role of free radicals in ROP and enrolled 60 preterm neonates at 30–32 weeks age. Thirty neonates predisposed to development of ROP, were placed in study group and 30 normal neonates in control group. Malondialdehyde and antioxidant enzymes superoxide dismutase (SOD) and glutathione peroxidase (GPX) were measured in blood spectrophotometrically. Both the groups were followed-up to 40–42 weeks age. Serum MDA levels, erythrocyte SOD and plasma GPX were significantly high in study group at 30–32 weeks as compared to control group. At follow up visit significant increase in MDA level and decrease in SOD and GPX level among the study group was seen. This disturbance in equilibrium of oxidant and antioxidant status initiates an inflammatory process in retinal tissue leading to development of ROP.     

Flocking motion in swarms with limited sensing radius and heterogeneous input constraints

This paper addresses the flocking motion problem for swarms of agents with two restrictions: limited communication/detection ranges and different input constraints. In this problem, the distance between pairs of agents determines if a communication/detection link exists among them, while each agent has a different control action bound. We use the notion of proximity graph to model communication/detection between agents and provide distributed controllers designed for leaderless and leader-followers flocking motion scenarios. Our proposed designs preserve the connectivity of the proximity graph while the control effort satisfies the bound of each particular agent. Unlike previous results, our protocols take advantage of the group’s input heterogeneity to use agents with a greater capacity to compensate for neighbors that are less capable of meeting the group’s requirements. Additionally, our designs are based only on local state errors and are robust to non-modeled edge failures. To illustrate the effectiveness of our proposal, we use numerical simulations of different flocking scenarios.     

Leader-following consensus of multi-agent systems with limited data rate

This paper investigates the leader-following consensus problem of time-invariant linear multi-agent systems with limited data rate. Based on the idea of assigning a priority level for each agent of the concerned multi-agent system, a novel distributed control law has been proposed. The proposed control law has two distinctive advantages. That is, it is fully distributed in the sense that it does not rely on the eigenvalues of the Laplace matrix associated with the topology. Moreover, the required data rate is independent of the number of agents and remains small even if the number of the agents in multi-agent systems is large. An example is finally given to illustrate the effectiveness of the proposed controller.     

企业间知识转移、知识库开发与突变式创新绩效

聚焦中国企业的创新活动,研究了企业间知识转移对知识接收企业突变式创新绩效的影响。同时,探索企业知识库的中介作用,并引入企业间竞争作为调节变量,构建了理论模型。之后,运用251家企业的调研数据进行模型验证。研究结果表明:企业间知识转移有助于知识接收企业突变式创新绩效的提高。企业间知识转移既有助于知识接收企业知识宽度的提升,也有助于知识深度的提升。知识接收企业知识宽度在企业间知识转移和突变式创新绩效之间起中介作用。企业间竞争在企业间知识转移与知识接收企业知识宽度间起着负向调节作用。     

现有企业应对突破性技术变革的能力重构研究

积极应对突破性技术变革是现有企业得以持续发展的时代要求.从突破性技术的本质特征出发,分析能力重构的基本内涵及实现机制,从企业能力的层面回答了如何应对突破性技术挑战的问题.通过对机制选择的动因及结果的分析,进一步揭示了现有企业间的差异性.     

突破性产品创新的模糊前端管理研究

分析了突破性产品创新的实施困境：如何产生突破性创新的创意并从成千上万个创意中成功地选择。在综述传统突破性创新对该问题解决方案的基础上,辨析了突破性创新模糊前段的概念,系统阐述FFE管理的内容和步骤,并对其进行评述,作为突破性产品创新创意产生和识别的基础。     

Zonotopic fault detection for discrete-time systems with limited communication capability and sensor nonlinearity

In this paper, the fault detection filter (FDF) design problem based on a dynamic event-triggered mechanism (DETM) is investigated for discrete-time systems with signal quantization and sensor nonlinearity. In order to conserve the limited network resources, a newly event-triggered mechanism with dynamic threshold is adopted to reduce the number of transmitted data through network more effectively. With the consideration of DETM, signal quantization and sensor nonlinearity, a fault detection filter is constructed to achieve the robustly asymptotic stability of established model with expected fault detection objective. In addition, by influence of DETM, external interference and quantization errors, a zonotopic residual evaluation mechanism is constructed to detect the occurring fault of plant. Finally, a practical example is provided to illustrate the effectiveness of proposed design approach.     

State estimation and stabilization for nonlinear networked control systems with limited capacity channel

This paper investigates the control problem for nonlinear networked control systems with global Lipschitz nonlinearities subject to output quantization and data packet dropout. The system states are unavailable and the outputs are quantized in a logarithmic form before transmitted through network. In the communication channel, two types of packet losses are considered simultaneously: (i) packet losses from sensor to controller and (ii) packet losses from controller to actuator, which are modeled as two independent Bernoulli distributed white sequences, respectively. Based on the proposed model, an observer-based controller is designed to exponentially stabilize the networked system in the sense of mean square, and sufficient conditions for the existence of the controller are established. Finally, a numerical example is presented to illustrate the effectiveness and applicability of the proposed technique.     

变革型领导与突破性、渐进性创造力关系研究

学界关于变革型领导下属创造力之间的关系尚未达成一致,负相关、不相关、正相关的观点均存在。为深入理解二者关系,基于社会认知理论,引入创新自我效能作为中介机制,将成就导向作为边界条件,构建被调节的中介模型。以某汽车企业341名员工及其领导为研究对象,运用多元回归和Bootstrap法进行假设检验。研究结果表明,①智力激发仅与突破性创造力正相关,鼓舞性激励仅与渐进性创造力正相关,理想化影响力、个性化关怀均与突破性创造力、渐进性创造力正相关;②创新自我效能中介①中所有正相关关系;③成就导向调节创新自我效能与突破性创造力、渐进性创造力之间的正相关关系;④成就导向调节②中所有中介关系。