2,204 research outputs found

    Democratizing Innovation. A Geo-Entrepreneurial Analysis and Approach Through the Company Democracy Model

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    Even that thinking, and innovative thinking, in particular, is supposed to be borderless and unbiased, it seems that most of the innovations globally derive from regions that have built a brand name on it. This limits the opportunities to bright ideas form bright people outside the innovation hubs, resulting in a general loss of intellectual capital for the global economy. This paper aims to democratize innovation by redefining geo-entrepreneurship through a reverse innovation framework that exposes the hidden intellectual capital around the world, evaluates innovation drives and opportunities and empowers the development, commercialization and utilization of innovation. Based on the Company Democracy Model the proposed framework impacts reversely national brain-drain contributes to innovation scouting, strategic partnerships, and redistributes success opportunities. This geo-entrepreneurial approach identifies innovation potential globally, reduces inequalities among all those who can and want to create opportunities regardless of where innovation takes place and by whom

    Socio-digital experiences

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    The experiences emerging from interacting with digital technology need to be understood, designed and engineered. This is quintessential for ensuring that related systems and services have a purpose and value for their users, helping them achieve their aspirations and desires. Rooted in this human-experience centered perspective, we explore ambient intelligence technologies, where computation and communication are embedded in our physical and social environment, adapting to users and their context. The overarching motivation is to create novel socio-digital experiences that address societal needs, like staying connected with dear ones, children’s outdoor play, achieving desirable behavior change, supporting independent living, and rehabilitation. Looking to the future, two grand challenges concern us. First is to design technologies that people can shape to meet idiosyncratic and dynamically emerging requirements, known as meta-design. Second is endowing ambient intelligence technologies with aspects of social intelligence

    Analysis and Modeling of Motor Vehicle Crashes Involving Air Force Military Personnel

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    The primary purpose of this thesis was to improve the data analysis of Motor Vehicle Crashes (MVCs). This thesis employed the Air Force Safety Center (AFSC) data, collected over 20 years, of MVCs in which US Air Force (USAF) military personnel are involved when off duty and off base. Categorical Data Analysis and Analysis of Variance (ANOVA) were applied to identify risk factors related to MVCs and influence the severity of injuries and those factors associated with the alcohol consumption before driving, and affect the number of lost workdays resulting from MVCs. Categorical Data Analysis showed that male USAF members aged 17-24 years or with the rank of Airman were more prone to experience a fatal MVC. Moreover, fatal MVCs peaked between the hours of 2200 pm to 0559 am, and USAF female drivers seemed to wear seatbelts more than USAF male drivers. These thesis results revealed the value of wearing seatbelts for the prevention of severe injuries during crashes. Finally, ANOVA results exposed that the more severe the Type of Injury, the greater the number of Lost Days and that 2-wheeled vehicle MVCs have the most significant effect on the number of Lost Days

    Retail Clerks International Protective Association, Local 872 (1936)

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    Improved methods for quickly identifying neutral organic compounds and differentiation of analytes with similar chemical structures are widely needed. We report a new approach to effectively “fingerprint” neutral organic molecules by using <sup>19</sup>F NMR and molecular containers. The encapsulation of analytes induces characteristic up- or downfield shifts of <sup>19</sup>F resonances that can be used as multidimensional parameters to fingerprint each analyte. The strategy can be achieved either with an array of fluorinated receptors or by incorporating multiple nonequivalent fluorine atoms in a single receptor. Spatial proximity of the analyte to the <sup>19</sup>F is important to induce the most pronounced NMR shifts and is crucial in the differentiation of analytes with similar structures. This new scheme allows for the precise and simultaneous identification of multiple analytes in a complex mixture

    Le témoignage du Vaticanus gr. 163 pour la période entre 945-963

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    &nbsp; A. &Mu;&alpha;&rho;&kappa;ό&pi;&omicron;&upsilon;&lambda;&omicron;&sigmaf;&nbsp;Ἡ &sigma;&upsilon;&mu;&beta;&omicron;&lambda;ὴ&nbsp; &tau;&omicron;ῦ&nbsp; &chi;&epsilon;&iota;&rho;&omicron;&gamma;&rho;ά&phi;&omicron;&upsilon; Vaticanus gr. 163 &gamma;&iota;ὰ &tau;ὴ &chi;&rho;&omicron;&nu;&iota;&kappa;ὴ &pi;&epsilon;&rho;ί&omicron;&delta;&omicron; 945-963 &Tau;ὸ &chi;&epsilon;&iota;&rho;ό&gamma;&rho;&alpha;&phi;&omicron; Vaticanus gr. 163 &pi;&alpha;&rho;&alpha;&delta;ί&delta;&epsilon;&iota;, ἀ&nu;ά&mu;&epsilon;&sigma;&alpha; &sigma;ὲ ἄ&lambda;&lambda;&alpha; ἱ&sigma;&tau;&omicron;&rho;&iota;&kappa;ά &kappa;&epsilon;ί&mu;&epsilon;&nu;&alpha;, &kappa;&alpha;ὶ &mu;ί&alpha; &mu;&omicron;&rho;&phi;ὴ &tau;ῆ&sigmaf; &chi;&rho;&omicron;&nu;&omicron;&gamma;&rho;&alpha;&phi;ί&alpha;&sigmaf; &tau;&omicron;ῦ &Sigma;&upsilon;&mu;&epsilon;ὼ&nu; &Lambda;&omicron;&gamma;&omicron;&theta;έ&tau;&eta;. Ἡ ἰ&delta;&iota;&alpha;&iota;&tau;&epsilon;&rho;ό&tau;&eta;&tau;&alpha; &tau;ῆ&sigmaf; &mu;&omicron;&rho;&phi;ῆ&sigmaf; &alpha;ὐ&tau;ῆ&sigmaf; &epsilon;ἶ&nu;&alpha;&iota; ὅ&tau;&iota; ἡ &delta;&iota;ή&gamma;&eta;&sigma;&eta; &delta;ὲ &delta;&iota;&alpha;&kappa;ό&pi;&tau;&epsilon;&tau;&alpha;&iota; &mu;ὲ &tau;ὸ &theta;ά&nu;&alpha;&tau;&omicron; &tau;&omicron;ῦ &Rho;&omega;&mu;&alpha;&nu;&omicron;ῦ &Lambda;&alpha;&kappa;&alpha;&pi;&eta;&nu;&omicron;ῦ, ὅ&pi;&omega;&sigmaf; &sigma;&upsilon;&nu;ή&theta;&omega;&sigmaf; &sigma;&upsilon;&mu;&beta;&alpha;ί&nu;&epsilon;&iota; &mu;ὲ &tau;ὰ &chi;&epsilon;&iota;&rho;ό&gamma;&rho;&alpha;&phi;&alpha; &tau;&omicron;ῦ &Lambda;&omicron;&gamma;&omicron;&theta;έ&tau;&eta;, ἀ&lambda;&lambda;ὰ &sigma;&upsilon;&nu;&epsilon;&chi;ί&zeta;&epsilon;&tau;&alpha;&iota; &mu;έ&chi;&rho;&iota; &tau;ὴ&nu; ἀ&nu;&alpha;&gamma;ό&rho;&epsilon;&upsilon;&sigma;&eta; &sigma;&tau;ὸ &theta;&rho;ό&nu;&omicron; &tau;&omicron;ῦ &Nu;&iota;&kappa;&eta;&phi;ό&rho;&omicron;&upsilon; &Phi;&omega;&kappa;ᾶ (963). Ἀ&pi;&omicron;&tau;&epsilon;&lambda;&epsilon;ῖ ἔ&tau;&sigma;&iota; &sigma;&eta;&mu;&alpha;&nu;&tau;&iota;&kappa;ὴ ἱ&sigma;&tau;&omicron;&rho;&iota;&kappa;ὴ &pi;&eta;&gamma;ή &gamma;&iota;&alpha; &tau;&alpha; &gamma;&epsilon;&gamma;&omicron;&nu;ό&tau;&alpha; &alpha;ὐ&tau;ῆ&sigmaf; &tau;ῆ&sigmaf; &pi;&epsilon;&rho;&iota;ό&delta;&omicron;&upsilon;.&nbsp; Ἡ &mu;&epsilon;&lambda;έ&tau;&eta; &pi;&epsilon;&rho;&iota;&lambda;&alpha;&mu;&beta;ά&nu;&epsilon;&iota; ἔ&kappa;&delta;&omicron;&sigma;&eta; &tau;ῶ&nu; &phi;&phi;. 58&nu;-61 &tau;&omicron;ῦ &chi;&epsilon;&iota;&rho;&omicron;&gamma;&rho;ά&phi;&omicron;&upsilon; Vaticanus gr. 163 &pi;&omicron;ὺ &kappa;&alpha;&lambda;ύ&pi;&tau;&omicron;&upsilon;&nu; &tau;ὸ &chi;&rho;&omicron;&nu;&iota;&kappa;ὸ &delta;&iota;ά&sigma;&tau;&eta;&mu;&alpha; &mu;&epsilon;&tau;&alpha;&xi;ὺ &tau;ῶ&nu; ἐ&tau;ῶ&nu; 945-963. Ἡ ἔ&kappa;&delta;&omicron;&sigma;&eta; &sigma;&upsilon;&nu;&omicron;&delta;&epsilon;ύ&epsilon;&tau;&alpha;&iota; ἀ&pi;ὸ ἱ&sigma;&tau;&omicron;&rho;&iota;&kappa;ὸ &sigma;&chi;&omicron;&lambda;&iota;&alpha;&sigma;&mu;ό.&nbsp; A. &Mu;&alpha;&rho;&kappa;ό&pi;&omicron;&upsilon;&lambda;&omicron;&sigmaf;&nbsp;Ἡ &sigma;&upsilon;&mu;&beta;&omicron;&lambda;ὴ&nbsp; &tau;&omicron;ῦ&nbsp; &chi;&epsilon;&iota;&rho;&omicron;&gamma;&rho;ά&phi;&omicron;&upsilon; Vaticanus gr. 163 &gamma;&iota;ὰ &tau;ὴ &chi;&rho;&omicron;&nu;&iota;&kappa;ὴ &pi;&epsilon;&rho;ί&omicron;&delta;&omicron; 945-963 &Tau;ὸ &chi;&epsilon;&iota;&rho;ό&gamma;&rho;&alpha;&phi;&omicron; Vaticanus gr. 163 &pi;&alpha;&rho;&alpha;&delta;ί&delta;&epsilon;&iota;, ἀ&nu;ά&mu;&epsilon;&sigma;&alpha; &sigma;ὲ ἄ&lambda;&lambda;&alpha; ἱ&sigma;&tau;&omicron;&rho;&iota;&kappa;ά &kappa;&epsilon;ί&mu;&epsilon;&nu;&alpha;, &kappa;&alpha;ὶ &mu;ί&alpha; &mu;&omicron;&rho;&phi;ὴ &tau;ῆ&sigmaf; &chi;&rho;&omicron;&nu;&omicron;&gamma;&rho;&alpha;&phi;ί&alpha;&sigmaf; &tau;&omicron;ῦ &Sigma;&upsilon;&mu;&epsilon;ὼ&nu; &Lambda;&omicron;&gamma;&omicron;&theta;έ&tau;&eta;. Ἡ ἰ&delta;&iota;&alpha;&iota;&tau;&epsilon;&rho;ό&tau;&eta;&tau;&alpha; &tau;ῆ&sigmaf; &mu;&omicron;&rho;&phi;ῆ&sigmaf; &alpha;ὐ&tau;ῆ&sigmaf; &epsilon;ἶ&nu;&alpha;&iota; ὅ&tau;&iota; ἡ &delta;&iota;ή&gamma;&eta;&sigma;&eta; &delta;ὲ &delta;&iota;&alpha;&kappa;ό&pi;&tau;&epsilon;&tau;&alpha;&iota; &mu;ὲ &tau;ὸ &theta;ά&nu;&alpha;&tau;&omicron; &tau;&omicron;ῦ &Rho;&omega;&mu;&alpha;&nu;&omicron;ῦ &Lambda;&alpha;&kappa;&alpha;&pi;&eta;&nu;&omicron;ῦ, ὅ&pi;&omega;&sigmaf; &sigma;&upsilon;&nu;ή&theta;&omega;&sigmaf; &sigma;&upsilon;&mu;&beta;&alpha;ί&nu;&epsilon;&iota; &mu;ὲ &tau;ὰ &chi;&epsilon;&iota;&rho;ό&gamma;&rho;&alpha;&phi;&alpha; &tau;&omicron;ῦ &Lambda;&omicron;&gamma;&omicron;&theta;έ&tau;&eta;, ἀ&lambda;&lambda;ὰ &sigma;&upsilon;&nu;&epsilon;&chi;ί&zeta;&epsilon;&tau;&alpha;&iota; &mu;έ&chi;&rho;&iota; &tau;ὴ&nu; ἀ&nu;&alpha;&gamma;ό&rho;&epsilon;&upsilon;&sigma;&eta; &sigma;&tau;ὸ &theta;&rho;ό&nu;&omicron; &tau;&omicron;ῦ &Nu;&iota;&kappa;&eta;&phi;ό&rho;&omicron;&upsilon; &Phi;&omega;&kappa;ᾶ (963). Ἀ&pi;&omicron;&tau;&epsilon;&lambda;&epsilon;ῖ ἔ&tau;&sigma;&iota; &sigma;&eta;&mu;&alpha;&nu;&tau;&iota;&kappa;ὴ ἱ&sigma;&tau;&omicron;&rho;&iota;&kappa;ὴ &pi;&eta;&gamma;ή &gamma;&iota;&alpha; &tau;&alpha; &gamma;&epsilon;&gamma;&omicron;&nu;ό&tau;&alpha; &alpha;ὐ&tau;ῆ&sigmaf; &tau;ῆ&sigmaf; &pi;&epsilon;&rho;&iota;ό&delta;&omicron;&upsilon;.&nbsp; Ἡ &mu;&epsilon;&lambda;έ&tau;&eta; &pi;&epsilon;&rho;&iota;&lambda;&alpha;&mu;&beta;ά&nu;&epsilon;&iota; ἔ&kappa;&delta;&omicron;&sigma;&eta; &tau;ῶ&nu; &phi;&phi;. 58&nu;-61 &tau;&omicron;ῦ &chi;&epsilon;&iota;&rho;&omicron;&gamma;&rho;ά&phi;&omicron;&upsilon; Vaticanus gr. 163 &pi;&omicron;ὺ &kappa;&alpha;&lambda;ύ&pi;&tau;&omicron;&upsilon;&nu; &tau;ὸ &chi;&rho;&omicron;&nu;&iota;&kappa;ὸ &delta;&iota;ά&sigma;&tau;&eta;&mu;&alpha; &mu;&epsilon;&tau;&alpha;&xi;ὺ &tau;ῶ&nu; ἐ&tau;ῶ&nu; 945-963. Ἡ ἔ&kappa;&delta;&omicron;&sigma;&eta; &sigma;&upsilon;&nu;&omicron;&delta;&epsilon;ύ&epsilon;&tau;&alpha;&iota; ἀ&pi;ὸ ἱ&sigma;&tau;&omicron;&rho;&iota;&kappa;ὸ &sigma;&chi;&omicron;&lambda;&iota;&alpha;&sigma;&mu;ό
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