Writing and Sentence Style Analysis in The Alchemist by Paulo Coelho

In The Alchemist, Paulo Coelho inspired people how to follow their dreams by telling a Shepherd’s brave and mystical story. The novel attracts readers and brings them into the shepherd’s journey to figure out what treasure he is looking for. What this book portrays just what an alchemist does, transforming “lead to goad”. Page after page makes readers understand that every great thing starts from a simple thing, and finally it “leads” readers to their true personal “goal” in life. Similarly, every great book is built on every single word and grammar struc­ture, thus this study focuses on analysis the grammar and usage in this book. This study identifies Paulo Coelho’s writing style by analyzing and examining what kinds of sentence structures, sentence patterns, moods, verb tense and common voice Paulo Coelho uses in his novel, The Alchemist. In this study, a new approach to style analysis is used. The method employs traditional diagraming or the Reed-Kellogg system to map out a depiction of Paulo Coelho’s writing, which turns out to be an illuminating way to visualize a writer’s style. The results show that Paulo Coelho mostly used compound, indicative sentences in the simple past tense and active voice

An experimental approach to quantify strain transfer efficiency of fibre bragg grating sensors to host structures

This paper developed a method to evaluate the strain transfer efficiency of fibre Bragg grating sensors to host structures. Various coatings were applied to fibre Bragg grating sensors after being fabricated. They were epoxy, silane agent and polypropylene, representing different surface properties. A neat epoxy resin plate was used as the host in which the coated fibre sensors were embedded in the central layer. The tensile strain output from the FBGs was compared with that obtained from electrical strain gauges which were attached on the surface of the specimen. A calculating method based on the measured strains was developed to quantify the strain transfer function of different surface coatings. The strain transfer coefficient obtained from the proposed method provided a direct indicator to evaluate the strain transfer efficiency of different coatings used on the FBG sensors, under either short or long-term loading. The results demonstrated that the fibre sensor without any coating possessed the best strain transfer, whereas, the worst strain transfer was created by polypropylene coating. Coatings play a most influential role in strain measurements using FBG sensors

Modeling and Analysis of Neural Spike Trains

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The impact of biodiesel on particle number, size and mass emissions from a Euro4 diesel vehicle

New European emissions legislation (Euro5) specifies a limit for Particle Number (PN) emissions and therefore drives measurement of PN during vehicle development and homologation. Concurrently, the use of biofuel is increasing in the marketplace, and Euro5 specifies that reference fuel must contain a bio-derived portion. Work was carried out to test the effect of fuels containing different levels of Fatty Acid Methyl Ester (FAME) on particle number, size, mass and composition. Measurements were conducted with a Cambustion Differential Mobility Spectrometer (DMS) to time-resolve sub-micron particles (5-1000nm), and a Horiba Solid Particle Counting System (SPCS) providing PN data from a Euro5-compliant measurement system. To ensure the findings are relevant to the modern automotive business, testing was carried out on a Euro4 compliant passenger car fitted with a high-pressure common-rail diesel engine and using standard homologation procedures. It was found that using FAME decreased total PN emissions, by 16% over the Type I drive cycle (NEDC) for a 30% biodiesel (B30) compared to mineral fuel (B0). FAME also decreased accumulation mode PN and carbonaceous mass, by 20-30% for B30 versus B0, with a consequent reduction in Diesel Particulate Filter loading rate. A 25% increase in the nucleation mode PN was found when using B30 versus B0, and the higher molecular-weight organic mass fraction also increased. Increases in nitrogen oxides when using FAMEcontaining fuels were also confirmed

Sensing a live audience.

Psychophysiological measurement has the potential to play an important role in audience research. Currently, such research is still in its infancy and it usually involves collecting data in the laboratory, where during each experimental session one individual watches a video recording of a performance. We extend the experimental paradigm by simultaneously measuring Galvanic Skin Response (GSR) of a group of participants during a live performance. GSR data were synchronized with video footage of performers and audience. In conjunction with questionnaire data, this enabled us to identify a strongly correlated main group of participants, describe the nature of their theatre experience and map out a minute-by-minute unfolding of the performance in terms of psycho-physiological engagement. The benefits of our approach are twofold. It provides us a robust and accurate mechanism for assessing a performance. Moreover, our infrastructure can enable, in the future, real-time feedback from remote audiences for online performances. We are currently scaling up the system allowing for simultaneous GSR measurement of larger audiences

Deep three-dimensional solid-state qubit arrays with long-lived spin coherence

Nitrogen-vacancy centers (NVCs) in diamond show promise for quantum computing, communication, and sensing. However, the best current method for entangling two NVCs requires that each one is in a separate cryostat, which is not scalable. We show that single NVCs can be laser written 6–15-µm deep inside of a diamond with spin coherence times that are an order of magnitude longer than previous laser-written NVCs and at least as long as naturally occurring NVCs. This depth is suitable for integration with solid immersion lenses or optical cavities and we present depth-dependent T2 measurements. 200 000 of these NVCs would fit into one diamond