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MAST: Mental Ambidexterity in Strategic Thinking
There are two fundamental ways to think about what strategy is. The first one is strategy as a plan of action for reaching one or several goals. The second one is strategy as discipline, a formalized body of knowledge. The latter can be understood as the set of governing ideas that guide managers in the identification of opportunities for value creation and the realization of that value. In the present article, we argue that these ideas tend to fall into two main paradigms, which come with two metaphors about managers: managers as commanders and managers as designers. We further argue that these represent two fundamental ways of thinking, which in turn become ways of ‘seeing’ and even feeling. Is one better than the other? We suggest that is not the right question to ask. Rather it is important to appreciate that these are worldviews that affect how we interpret our day-to-day reality and our ability to see opportunities. We introduce the notion of Mental Ambidexterity in Strategic Thinking (MAST) and define it as the ability to hold both views of the world—that of the commander and that of the designer— and play with them simultaneously, rather than focusing solely on one and rejecting the other. MAST is an individual level capability; it is a flexible, non-ideological and fluid mode of cognition. At the core, it is characterized by switching flexibility back and forth between rational decisionmaking among alternatives, and creation of new alternatives, between what is and what could be. We illustrate three principles – i) intellectual humility, ii) contingent thinking and iii) poke into ambiguity – that act as catalysts for individuals to develop MAST capabilities
Keynote Address: Rev. Mark Massa
Rev. Mark S. Massa, S.J., is the dean and professor of Church history at the School of Theology and Ministry at Boston College. He was invited to give a keynote to begin the third Catholic Higher Education Collaborative Conference (CHEC), cosponsored by Boston College and Fordham University. Fr. Massa’s address posed critical questions about whether Catholic identity and Catholic Intellectual Tradition are still the focal points for academic excellence in Catholic schools. This question was continually revisited throughout the conference
Inhibition of Aflatoxin Formation in Aspergillus Species by Peanut (Arachis hypogaea) Seed Stilbenoids in the Course of Peanut− Fungus Interaction
Common soil fungi, Aspergillus flavus and Aspergillus parasiticus, are opportunistic pathogens that invade preharvest peanut seeds. These fungi often produce carcinogenic aflatoxins that pose a threat to human and animal health through food chains and cause significant economic losses worldwide. Detection of aflatoxins and further processing of crops are mandated to ensure that contaminated agricultural products do not enter food channels. Under favorable conditions, the fungus-challenged peanut seeds produce phytoalexins, structurally related stilbenoids, capable of retarding fungal development. The purpose of the present study was to evaluate the potential influence of peanut phytoalexins on fungal development and aflatoxin formation in the course of peanut−fungus interaction. The present research revealed that during such interaction, aflatoxin formation was completely suppressed in A. flavus and A. parasiticus strains tested, when low concentrations of spores were introduced to wounded preincubated peanuts. In most of the experiments, when fungal spore concentrations were 2 orders of magnitude higher, the spores germinated and produced aflatoxins. Of all experimental seeds that showed fungal growth, 57.7% were aflatoxin-free after 72 h of incubation. The research provided new knowledge on the aflatoxin/phytoalexin formation in the course of peanut−fungus interaction
Semi-Teleparallel Theories of Gravitation
A class of theories of gravitation that naturally incorporates preferred
frames of reference is presented. The underlying space-time geometry consists
of a partial parallelization of space-time and has properties of Riemann-Cartan
as well as teleparallel geometry. Within this geometry, the kinematic
quantities of preferred frames are associated with torsion fields. Using a
variational method, it is shown in which way action functionals for this
geometry can be constructed. For a special action the field equations are
derived and the coupling to spinor fields is discussed.Comment: 14 pages, LaTe
Structure and clumping in the fast wind of NGC6543
Far-UV spectroscopy from the FUSE satellite is analysed to uniquely probe
spatial structure and clumping in the fast wind of the central star of the
H-rich planetary nebula NGC6543 (HD164963). Time-series data of the unsaturated
PV 1118, 1128 resonance line P Cygni profiles provide a very sensitive
diagnostic of variable wind conditions in the outflow. We report on the
discovery of episodic and recurrent optical depth enhancements in the PV
absorption troughs, with some evidence for a 0.17-day modulation time-scale.
SEI line-synthesis modelling is used to derive physical properties, including
the optical depth evolution of individual `events'. The characteristics of
these features are essentially identical to the `discrete absorption
components' (DACs) commonly seen in the UV lines of massive OB stars. We have
also employed the unified model atmosphere code CMFGEN to explore spectroscopic
signatures of clumping, and report in particular on the clear sensitivity of
the PV lines to the clump volume filling factor. The results presented here
have implications for the downward revision of mass-loss rates in PN central
stars. We conclude that the temporal structures seen in the PV lines of NGC6543
likely have a physical origin that is similar to that operating in massive,
luminous stars, and may be related to near-surface perturbations caused by
stellar pulsation and/or magnetic fields.Comment: 11 pages, 11 figures. Accepted for publication in MNRA
Activity Recognition in Smart Homes via Feature-Rich Visual Extraction of Locomotion Traces
The proliferation of sensors in smart homes makes it possible to monitor human activities, routines, and complex behaviors in an unprecedented way. Hence, human activity recognition has gained increasing attention over the last few years as a tool to improve healthcare and well-being in several applications. However, most existing activity recognition systems rely on cameras or wearable sensors, which may be obtrusive and may invade the user's privacy, especially at home. Moreover, extracting expressive features from a stream of data provided by heterogeneous smart-home sensors is still an open challenge. In this paper, we investigate a novel method to detect activities of daily living by exploiting unobtrusive smart-home sensors (i.e., passive infrared position sensors and sensors attached to everyday objects) and vision-based deep learning algorithms, without the use of cameras or wearable sensors. Our method relies on depicting the locomotion traces of the user and visual clues about their interaction with objects on a floor plan map of the home, and utilizes pre-trained deep convolutional neural networks to extract features for recognizing ongoing activity. One additional advantage of our method is its seamless extendibility with additional features based on the available sensor data. Extensive experiments with a real-world dataset and a comparison with state-of-the-art approaches demonstrate the effectiveness of our method
Representaciones de la fÃsica, su enseñanza y aprendizaje. Un estudio con estudiantes de nivel secundario y universitario
Se describe un estudio exploratorio cuyo objetivo fue identificar, caracterizar y describir las representaciones sociales sobre la fÃsica, su enseñanza y aprendizaje en alumnos de diferentes niveles de escolaridad de modo de obtener indicadores para la construcción de los instrumentos a utilizar en las fases siguientes de la investigación. Se empleó una metodologÃa cualitativa con un enfoque descriptivo e interpretativo. Cinco grupos de alumnos de nivel secundario y universitario básico (n=172) respondieron a una prueba individual de evocación libre. Las producciones se analizaron empleando una técnica de análisis de contenido. Se identificaron representaciones relativas a las dimensiones cognitiva, pedagógica, afectiva y sociocultural
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