Fractional Differential Equations

Models that depict innovation as a smooth, well-behaved linear process badly misspecify the nature and direction of the causal factors at work. Innovation is complex, uncertain, somewhat disorderly, and subject to changes of many sorts. Innovation is also difficult to measure and demands close coordination of adequate technical knowledge and excellent market judgment in order to satisfy economic, technological, and other types of constraints—all simultaneously. The process of innovation must be viewed as a series of changes in a complete system not only of hardware, but also of market environment, production facilities and knowledge, and the social contexts of the innovation organization.

An Overview of Innovation

Kaizen: The key to Japan‚s competitive success

This book opens a fresh chapter in the debate on local enterprise clusters and their strategies for upgrading in the global economy. The authors employ a novel conceptual framework in their research on industrial clusters in Europe, Latin America and Asia and provide new perspectives and insights for researchers and policymakers alike.

Governance in global value chains

본 연구는 21세기 기업경영의 가장 중요한 트렌드인 진정성의 효과를 조직-공중 관계성, 기업명성, 공중의 구매행동 차원에서 고찰하였다 특히, 이들 간의 관계에 대한 실증적 검증을 통해 PR학의 중심을 차지하고 있는 관계관리와 명성관리 논의를 확장시키고, 진정성의 결과로 조직효과 차원의 공중의 구매행동을 살펴봄으로써 기업경영에서 진정성의 실질적 중요성을 입증해내고자 하였다 연구결과, 공중은 진정성이 있다고 인식하는 기업과의 관계에 더 만족하는 것으로 나타났으며, 조직-공중관계의 질은 진정성이 구매행동의도에 미치는 영향에 있어 매개적 역할을 하는 것으로 검증되었다 또한 기업의 진정성은 공중의 기업명성에도 유의미한 영향을 미치고 이것이 구매행동이나 추천의도와 같은 행동적 결과로 이어져 조직효과성을 높이는 것으로 나타났다 반면 구매행동의도에 대한 진정성의 효과는 유의미하지 않아 기업의 진정성 그 자체가 바로 구매행동으로 이어지지 않는 것으로 입증되었다 즉, 진정성이 구매행동의도에 미치는 영향에 있어 조직-공중관계성, 기업브랜드의 명성이 완전 매개의 역할을 하는 것으로 나타나 기업의 재무적 경영성과와 효과창출에 있어 진정성의 실천을 통한 공중관계 관리와 기업명성의 구축이 무엇보다 중요함이 입증되었다 또한 본 연구는 제시한 모델의 설명력이 710%로 나타나 조직-공중관계성의 질, 기업명성을 매개로 하는 진정성의 효과 모델이 재무적 성과 측면에서의 조직효과 창출에 적용할 수 있는 모델임을 보여주고, 진정성의 상업화에 대한 주의와 함께 실무적 시사점을 제시하였다

진정성 (authenticity) 효과

We present a compilation of recommended positron–molecule cross sections for a range of scattering processes including elastic scattering, vibrational excitation, discrete electronic-state excitation, positronium formation, ionization, and also for the grand total cross section. Where possible, in particular for possible application in positron transport simulations for a given molecule, we try and list data for energies in the range 0.1–1000 eV although in practice the actual energy is highly target–molecule and scattering process specific. Aside from being relevant to positron transport studies, through, for example, Monte Carlo simulations, the present compilation should also be germane for benchmarking the validity and accuracy of positron–molecule scattering calculations and, just as importantly, to allow a comparison with corresponding electron scattering results. That latter comparison can shed real light on the projectile–target interactions that underpin the scattering dynamics.

Positron Scattering from Molecules: An Experimental Cross Section Compilation for Positron Transport Studies and Benchmarking Theory

We present a critical analysis of available experimental and theoretical cross section data for positron scattering from atomic systems. From this analysis, we present (where data are available) recommended cross sections for total scattering, positronium formation, inelastic scattering, and direct ionization processes. A complete bibliography of available measurement and theory is also presented.

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Recommended Positron Scattering Cross Sections for Atomic Systems

The evolution of resistivity versus temperature (�(T)) curve for different doping elements, and in the presence of various defects and clustering are explained for both diluted magnetic semiconductors (DMS) and manganites. Here, we provide unambiguous evidence that the concept of ionization energy (EI), which is explicitly associated with the atomic energy levels, can be related quantitatively to transport measurements. The proposed ionization energy model is used to understand how the valence states of ions affect the evolution of �(T) curves for different doping elements. We also explain how the �(T) curves evolve in the presence of, and in the absence of defects and clustering. The model also complements the results obtained from first-principles calculations.

Magnetoresistivity model and ionization‐energy approximation for ferromagnets

In face-to-face communications, to avoid sanctions and disapproval from others, people are more likely to hide negative aspects of their true self (such as socially undesirable personalities, minds, beliefs and consciousness) to avoid conflict with social norms and laws. The anonymity of cyberspace provides people a unique environment to behave more freely and openly with less restraint from the real word. Existing research related to online true self expression has mainly explored true self as an independent aspect of self. Regarding true self as a two-dimensional concept, this study investigates true self from the perspective of individuals' self-guide and identity reconstruction in both online and offline world. Using qualitative research methods, the current study investigates 57 participants through interviews and questionnaires. Content analysis reveals four factors that motivate people to express more true self (especially negative true self) when reconstructing their online identity and involve true self as a part of their self-guide in anonymous environment. By incorporating true self as an important part of individuals' self-guide and identity online, the current study advances self-discrepancy theory, making it more comprehensive for cyberspace. The results are also interpreted based on self-determination theory. The theoretical contributions of this study are discussed and practical implications are also presented.

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Disinhibition of negative true self for identity reconstructions in cyberspace: Advancing self-discrepancy theory for virtual setting.

Our proposed image encryption is based on synchronization of chaotic fuzzy cellular neural networks (FCNNs) with different time delays and uses sampled-data controller. (i) It is known that the chaotic system plays a vital role in secure communication. (ii) FCNNs are more suitable for image processing due to its local connectedness. (iii) There are some results derived on theory part for the problem of synchronization of chaotic delayed FCNNs. (iv) We raise the following question: Is it possible to utilize these obtained chaotic values via FCNNs to image encryption? (v) Finally, we tried the above and succeed. Moreover, numerical instance and comparison results show that the proposed scheme works well and is resistant to differential attack.

Kurunathan Ratnavelu

Papers

Positron Scattering from Molecules: An Experimental Cross Section Compilation for Positron Transport Studies and Benchmarking Theory

Recommended Positron Scattering Cross Sections for Atomic Systems

Magnetoresistivity model and ionization‐energy approximation for ferromagnets

Disinhibition of negative true self for identity reconstructions in cyberspace: Advancing self-discrepancy theory for virtual setting.

Synchronization of chaotic-type delayed neural networks and its application