170 research outputs found

    Students’ perceptions of global citizenship at a local and an international school in Israel

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    This article reports on a comparative study revealing students’ perceptions and conceptualisations of global citizenship in two different educational settings in Israel, a country facing long-lasting violent conflict between Jewish Israelis and Palestinians. Jewish Israeli students attending a public Israeli school and students at an international school located in Israel catering to a Jewish, Palestinian and international clientele participated in this exploratory qualitative study, which involved in-depth interviews and focus groups with students from both a local and an international school. Four major themes emerged through the analysis: (1) inclusion and exclusion criteria for the term ‘global citizen’; (2) the tensions between the different dimensions of global citizenship; (3) schools’ agency in educating towards global citizenship; and (4) the role of global citizenship in conflict resolution. The main contribution of this study lies in its comparative perspective that enables us to discern the different impacts of the Israeli context on the perceptions of global citizenship in different types of schools

    Incremental Evaluation of Rules and its Relationship to Parallelism

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    Rule interpreters usually start with an initial database and perform the inference procedure in cycles, ending with a final database. In a real time environment it is possible to receive updates to the initial database after the inference procedure has started or even after it has ended. We present an algorithm for incremental maintenance of the deductive database in the presence of such updates. Interestingly, the same algorithm is useful for parallel and distributed rule processing in the following sense. \\'hen the processors evaluating a program operate asynchronously. then they may have different views of the database. The incremental maintenance procedure we present can be used to synchronize these views

    Chemically and thermally stable silica nanowires with a β-sheet peptide core for bionanotechnology

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    Background: A series of amyloidogenic peptides based on the sequence KFFEAAAKKFFE template the silica precursor, tetraethyl orthosilicate to form silica-nanowires containing a cross-β peptide core. Results: Investigation of the stability of these fibres reveals that the silica layers protect the silica-nanowires allowing them to maintain their shape and physical and chemical properties after incubation with organic solvents such as 2-propanol, ethanol, and acetonitrile, as well as in a strong acidic solution at pH 1.5. Furthermore, these nanowires were thermally stable in an aqueous solution when heated up to 70 °C, and upon autoclaving. They also preserved their conformation following incubation up to 4 weeks under these harsh conditions, and showed exceptionally high physical stability up to 1000 °C after ageing for 12 months. We show that they maintain their β-sheet peptide core even after harsh treatment by confirming the β-sheet content using Fourier transform infrared spectra. The silica nanowires show significantly higher chemical and thermal stability compared to the unsiliconised fibrils. Conclusions: The notable chemical and thermal stability of these silica nanowires points to their potential for use in microelectromechanics processes or fabrication for nanotechnological devices

    Control Considerations for Scalable Event Processing

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    Modification of Hydrophilic and Hydrophobic Surfaces Using an Ionic-Complementary Peptide

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    Ionic-complementary peptides are novel nano-biomaterials with a variety of biomedical applications including potential biosurface engineering. This study presents evidence that a model ionic-complementary peptide EAK16-II is capable of assembling/coating on hydrophilic mica as well as hydrophobic highly ordered pyrolytic graphite (HOPG) surfaces with different nano-patterns. EAK16-II forms randomly oriented nanofibers or nanofiber networks on mica, while ordered nanofibers parallel or oriented 60° or 120° to each other on HOPG, reflecting the crystallographic symmetry of graphite (0001). The density of coated nanofibers on both surfaces can be controlled by adjusting the peptide concentration and the contact time of the peptide solution with the surface. The coated EAK16-II nanofibers alter the wettability of the two surfaces differently: the water contact angle of bare mica surface is measured to be <10°, while it increases to 20.3±2.9° upon 2 h modification of the surface using a 29 µM EAK16-II solution. In contrast, the water contact angle decreases significantly from 71.2±11.1° to 39.4±4.3° after the HOPG surface is coated with a 29 µM peptide solution for 2 h. The stability of the EAK16-II nanofibers on both surfaces is further evaluated by immersing the surface into acidic and basic solutions and analyzing the changes in the nanofiber surface coverage. The EAK16-II nanofibers on mica remain stable in acidic solution but not in alkaline solution, while they are stable on the HOPG surface regardless of the solution pH. This work demonstrates the possibility of using self-assembling peptides for surface modification applications

    To reverse engineer an entire nervous system

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    There are many theories of how behavior may be controlled by neurons. Testing and refining these theories would be greatly facilitated if we could correctly simulate an entire nervous system so we could replicate the brain dynamics in response to any stimuli or contexts. Besides, simulating a nervous system is in itself one of the big dreams in systems neuroscience. However, doing so requires us to identify how each neuron's output depends on its inputs, a process we call reverse engineering. Current efforts at this focus on the mammalian nervous system, but these brains are mind-bogglingly complex, allowing only recordings of tiny subsystems. Here we argue that the time is ripe for systems neuroscience to embark on a concerted effort to reverse engineer a smaller system and that Caenorhabditis elegans is the ideal candidate system as the established optophysiology techniques can capture and control each neuron's activity and scale to hundreds of thousands of experiments. Data across populations and behaviors can be combined because across individuals the nervous system is largely conserved in form and function. Modern machine-learning-based modeling should then enable a simulation of C. elegans' impressive breadth of brain states and behaviors. The ability to reverse engineer an entire nervous system will benefit the design of artificial intelligence systems and all of systems neuroscience, enabling fundamental insights as well as new approaches for investigations of progressively larger nervous systems.Comment: 23 pages, 2 figures, opinion pape

    internationalization strategies and policies in second tier higher education institutions

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    This study addresses the major objectives and challenges in the internationalization processes of second-tier higher education institutions. We use the examples of universities of applied sciences in the Netherlands, academic colleges in Israel, and community colleges in Canada to offer a global perspective regarding the internationalization efforts in these types of institutions. Through comprehensive comparative analysis of secondary sources, we identify the trends taking place within these types of higher education institutions in these countries. We find that second-tier institutions tend not to have solidified for themselves tailored internationalization approaches and strategies that are uniquely fitting to their own missions, aims and student populations. This oversight creates a situation whereby such institutions, despite their culturally diverse student populations and the promise they hold to create a unique niche within internationalization discourse, fail to utilize the potential inherent in targeted internationalization strategies
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