Shape Modeling of Plant Leaves with Unstructured Meshes

The plant leaf is one of the most challenging natural objects to be realistically depicted by computer graphics due to its complex morphological and optical characteristics. Although many studies have been done on plant modeling, previous research on leaf modeling required for close-up realistic plant images is very rare. In this thesis, a novel method for modeling of the leaf shape based on the leaf venation is presented. As the first step of the method, the leaf domain is defined by the enclosure of the leaf boundary. Second, the leaf venation is interactively modeled as a hierarchical skeleton based on the actual leaf image. Third, the leaf domain is triangulated with the skeleton as constraints. The skeleton is articulated with nodes on the skeleton. Fourth, the skeleton is interactively transformed to a specific shape. A user can manipulate the skeleton using two methods which are complementary to each other: one controls individual joints on the skeleton while the other controls the skeleton through an intermediate spline curve. Finally, the leaf blade shape is deformed to conform to the skeleton by interpolation. An interactive modeler was developed to help a user to model a leaf shape interactively and several leaves were modeled by the interactive modeler. The ray-traced rendering images demonstrate that the proposed method is effective in the leaf shape modeling

Top-down and bottom-up neurodynamic evidence in patients with tinnitus

AbstractAlthough a peripheral auditory (bottom-up) deficit is an essential prerequisite for the generation of tinnitus, central cognitive (top-down) impairment has also been shown to be an inherent neuropathological mechanism. Using an auditory oddball paradigm (for top-down analyses) and a passive listening paradigm (for bottom-up analyses) while recording electroencephalograms (EEGs), we investigated whether top-down or bottom-up components were more critical in the neuropathology of tinnitus, independent of peripheral hearing loss. We observed significantly reduced P300 amplitudes (reflecting fundamental cognitive processes such as attention) and evoked theta power (reflecting top-down regulation in memory systems) for target stimuli at the tinnitus frequency of patients with tinnitus but without hearing loss. The contingent negative variation (reflecting top-down expectation of a subsequent event prior to stimulation) and N100 (reflecting auditory bottom-up selective attention) were different between the healthy and patient groups. Interestingly, when tinnitus patients were divided into two subgroups based on their P300 amplitudes, their P170 and N200 components, and annoyance and distress indices to their tinnitus sound were different. EEG theta-band power and its Granger causal neurodynamic results consistently support a double dissociation of these two groups in both top-down and bottom-up tasks. Directed cortical connectivity corroborates that the tinnitus network involves the anterior cingulate and the parahippocampal areas, where higher-order top-down control is generated. Together, our observations provide neurophysiological and neurodynamic evidence revealing a differential engagement of top-down impairment along with deficits in bottom-up processing in patients with tinnitus but without hearing loss

Microfluidics for Single Molecule Detection and Material Processing

In the cancer research, it is important to understand protein dynamics which are involved in cell signaling. Therefore, particular protein detection and analysis of target protein behavior are indispensable for current basic cancer research. However, it usually performed by conventional biochemical approaches, which require long process time and a large amount of samples. We have been developed the new applications based on microfluidics and Raster image Correlation spectroscopy (RICS) techniques. A simple microfluidic 3D hydrodynamic flow focusing device has been developed for quantitative determinations of target protein concentrations. The analyte stream was pinched not only horizontally, but also vertically by two sheath streams by introducing step depth cross junction structure. As a result, a triangular cross-sectional flow profile was formed and the laser was focused on the top of the triangular shaped analyte stream. Through this approach, the target protein concentration was successfully determined in cell lysate samples. The RICS technique has been applied to characterize the dynamics of protein 53 (p53) in living cells before and after the treatment with DNA damaging agents. P53 tagged with Green Fluores-cent Protein (GFP) were incubated with and without DNA damaging agents, cisplatin or eptoposide. Then, the diffusion coefficient of GFP-p53 was determined by RICS and it was significantly reduced after the drug treatment while that of the one without drug treatment was not. It is suggested that the drugs induced the interaction of p53 with either other proteins or DNA. This result demonstrates that RICS is able to detect protein-protein or protein-DNA interactions in living cells and it may be useful for the drug screening. As another application of microfluidics, an integrated microfluidic platform was developed for generating collagen microspheres with encapsulation of viable cells. The platform integrated four automated functions on a microfluidic chip, (1) collagen solution cooling system, (2) cell-in-collagen microdroplet generation, (3) collagen microdroplet polymerization, and (4) incubation and extraction of the microspheres. This platform provided a high throughput and easy way to generate uniform dimensions of collagen microspheres encapsulating viable cells that were able to proliferate for more than 1 week

A high temporal resolution assessment of photovoltaic electricity production and energy consumption of an electrified London primary school

In line with the UK goal to reach carbon neutrality by 2050, the combination of photovoltaic electricity and the electrification of heating systems is considered an effective way to reduce greenhouse gas emissions, while 88% of schools in the UK are gas-heated. This paper analyses the electricity consumption at a 15 and 30min resolution of different scenarios for the retrofitting of a primary school in London, UK, with an electrified heating system and the electricity production of different PV installations. Without a battery storage, thanks to high temporal resolution assessment, only 35 to 47% of the school energy consumption can be met. High temporal resolution allows consideration of to economic balances and the possibilities PV can have on decarbonizing heating systems in UK primary schools

Temporal resolution of photovoltaic electricity production with school energy consumption: a London primary school case study

In line with the UK goal to reach carbon neutrality by 2050, the combination of photovoltaic electricity and the electrification of heating systems is considered an effective way to reduce greenhouse gas emissions, while 88% of schools in the UK are gas-heated. This paper analyses the electricity consumption at a 15 and 30 min resolution of different scenarios for the retrofitting of a primary school in London, UK, with an electrified heating system and the electricity production of different PV installations. High temporal resolution allows consideration of economic balances, in light of rising costs of energy in the UK in 2022, and the possibilities PV can have on decarbonizing heating systems in UK primary schools. Practical application - The high temporal resolution allows to provide a project economic balance with close to reality figures. It also allows schools to rely on energy produced on site with less price fluctuation and to have the educational benefit of the PV installation. The high temporal resolution also provides data on what types of activities are the most energy consuming and can inform behaviour/time schedules changes