Understanding tobacco- and alcohol-related behavioral patterns is critical for uncovering risk factors and potentially designing targeted social computing intervention systems. Given that we make choices multiple times per day, hourly and daily patterns are critical for better understanding behaviors. Here, we combine natural language processing, machine learning and time series analyses to assess Twitter activity specifically related to alcohol and tobacco consumption and their sub-daily, daily and weekly cycles. Twitter self-reports of alcohol and tobacco use are compared to other data streams available at similar temporal resolution. We assess if discussion of drinking by inferred underage versus legal age people or discussion of use of different types of tobacco products can be differentiated using these temporal patterns. We find that time and frequency domain representations of behaviors on social media can provide meaningful and unique insights, and we discuss the types of behaviors for which the approach may be most useful.
Single-sided vertical-spindle grinding is applied to the thinning of liquid crystal display (LCD) cells. This mechanical technique achieves a high cut rate of 20.2 mm/min with a low surface roughness of 0.343 mm and is an environmentally friendly means compared with the chemical technique. Differently from double-sided lapping, the proposed technique is feasible for producing LCD cells composed of different-thickness thin-film transistor (TFT) and color filter (CF) substrates. In addition, the technique is also stable and practical for thinning cells.
Reducing the overall thickness and weight of LCD panels for mobile display could enhance the aesthetic and eases use of portable display devices. However, laminated cells have unstable control on scribing and the edge strength would get decreased after grinding process. In this study, we illustrated an "advanced" grinding process which could remove the defect of scribed edge and get 40% enhancing by process optimized. Meanwhile, it also has 20%~50% strength improving for laminated cells with thickness from 0.3mm to 0.8mm..
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